<?xml version='1.0'?>
<!DOCTYPE art SYSTEM 'http://www.biomedcentral.com/xml/article.dtd'>
<art>
   <ui>cc7744</ui>
   <ji>CCJ</ji>
   <fm>
      <dochead>Research</dochead>
      <bibl>
         <title>
            <p>Cost effectiveness of antimicrobial catheters in the intensive care unit: addressing uncertainty in the decision</p>
         </title>
         <aug>
            <au id="A1" ca="yes">
               <snm>Halton</snm>
               <mi>A</mi>
               <fnm>Kate</fnm>
               <insr iid="I1"/>
               <insr iid="I2"/>
               <email>k.halton@qut.edu.au</email>
            </au>
            <au id="A2">
               <snm>Cook</snm>
               <mi>A</mi>
               <fnm>David</fnm>
               <insr iid="I3"/>
               <email>David_Cook@health.qld.gov.au</email>
            </au>
            <au id="A3">
               <snm>Whitby</snm>
               <fnm>Michael</fnm>
               <insr iid="I4"/>
               <email>WhitbyM@health.qld.gov.au</email>
            </au>
            <au id="A4">
               <snm>Paterson</snm>
               <mi>L</mi>
               <fnm>David</fnm>
               <insr iid="I1"/>
               <insr iid="I5"/>
               <email>David_Paterson@health.qld.gov.au</email>
            </au>
            <au id="A5">
               <snm>Graves</snm>
               <fnm>Nicholas</fnm>
               <insr iid="I1"/>
               <insr iid="I2"/>
               <email>n.graves@qut.edu.au</email>
            </au>
         </aug>
         <insg>
            <ins id="I1">
               <p>The Centre for Healthcare Related Infection Surveillance &amp; Prevention, GPO Box 48, Brisbane, Queensland, 4001 Australia</p>
            </ins>
            <ins id="I2">
               <p>Institute of Health &amp; Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Queensland, 4059 Australia</p>
            </ins>
            <ins id="I3">
               <p>Intensive Care Unit, Princess Alexandra Hospital, 199 Ipswich Road, Woolloongabba, Queensland, 4102 Australia</p>
            </ins>
            <ins id="I4">
               <p>Infection Management Services, Princess Alexandra Hospital, 199 Ipswich Road, Woolloongabba, Queensland, 4102 Australia</p>
            </ins>
            <ins id="I5">
               <p>University of Queensland, Royal Brisbane &amp; Women's Hospital, Butterfield Street, Herston, Queensland, 4029 Australia</p>
            </ins>
         </insg>
         <source>Critical Care</source>
         <issn>1364-8535</issn>
         <pubdate>2009</pubdate>
         <volume>13</volume>
         <issue>2</issue>
         <fpage>R35</fpage>
         <url>http://ccforum.com/content/13/2/R35</url>
         <note>See related commentary by Safdar, <url>http://ccforum.com/content/13/3/148</url></note>
         <xrefbib>
            <pubidlist>
               <pubid idtype="pmpid">19284570</pubid>
               <pubid idtype="doi">10.1186/cc7744</pubid>
            </pubidlist>
         </xrefbib>
      </bibl>
      <history>
         <rec>
            <date>
               <day>13</day>
               <month>11</month>
               <year>2008</year>
            </date>
         </rec>
         <revreq>
            <date>
               <day>17</day>
               <month>12</month>
               <year>2008</year>
            </date>
         </revreq>
         <revrec>
            <date>
               <day>27</day>
               <month>2</month>
               <year>2009</year>
            </date>
         </revrec>
         <acc>
            <date>
               <day>11</day>
               <month>3</month>
               <year>2009</year>
            </date>
         </acc>
         <pub>
            <date>
               <day>11</day>
               <month>3</month>
               <year>2009</year>
            </date>
         </pub>
      </history>
      <cpyrt>
         <year>2009</year>
         <collab>Halton et al.; licensee BioMed Central Ltd.</collab>
         <note>This is an open access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note>
      </cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <sec>
               <st>
                  <p>Introduction</p>
               </st>
               <p>Some types of antimicrobial-coated central venous catheters (A-CVC) have been shown to be cost effective in preventing catheter-related bloodstream infection (CR-BSI). However, not all types have been evaluated, and there are concerns over the quality and usefulness of these earlier studies. There is uncertainty amongst clinicians over which, if any, A-CVCs to use. We re-evaluated the cost effectiveness of all commercially available A-CVCs for prevention of CR-BSI in adult intensive care unit (ICU) patients.</p>
            </sec>
            <sec>
               <st>
                  <p>Methods</p>
               </st>
               <p>We used a Markov decision model to compare the cost effectiveness of A-CVCs relative to uncoated catheters. Four catheter types were evaluated: minocycline and rifampicin (MR)-coated catheters, silver, platinum and carbon (SPC)-impregnated catheters, and two chlorhexidine and silver sulfadiazine-coated catheters; one coated on the external surface (CH/SSD (ext)) and the other coated on both surfaces (CH/SSD (int/ext)). The incremental cost per quality-adjusted life year gained and the expected net monetary benefits were estimated for each. Uncertainty arising from data estimates, data quality and heterogeneity was explored in sensitivity analyses.</p>
            </sec>
            <sec>
               <st>
                  <p>Results</p>
               </st>
               <p>The baseline analysis, with no consideration of uncertainty, indicated all four types of A-CVC were cost-saving relative to uncoated catheters. MR-coated catheters prevented 15 infections per 1,000 catheters and generated the greatest health benefits, 1.6 quality-adjusted life years, and cost savings (AUD $130,289). After considering uncertainty in the current evidence, the MR-coated catheters returned the highest incremental monetary net benefits of AUD $948 per catheter; however there was a 62% probability of error in this conclusion. Although the MR-coated catheters had the highest monetary net benefits across multiple scenarios, the decision was always associated with high uncertainty.</p>
            </sec>
            <sec>
               <st>
                  <p>Conclusions</p>
               </st>
               <p>Current evidence suggests that the cost effectiveness of using A-CVCs within the ICU is highly uncertain. Policies to prevent CR-BSI amongst ICU patients should consider the cost effectiveness of competing interventions in the light of this uncertainty. Decision makers would do well to consider the current gaps in knowledge and the complexity of producing good quality evidence in this area.</p>
            </sec>
         </sec>
      </abs>
   </fm>
   <meta>
      <classifications>
         <classification type="bmc" subtype="user_supplied_xml" id="endnote"/>
      </classifications>
   </meta>
   <bdy>
      <sec>
         <st>
            <p>Introduction</p>
         </st>
         <p>Catheter-related bloodstream infections (CR-BSIs) increase health costs and patient morbidity <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>, and their prevention has been the target of national initiatives to create safer and more efficient healthcare systems <abbrgrp><abbr bid="B2">2</abbr><abbr bid="B3">3</abbr></abbrgrp>. These healthcare-acquired infections are among the group for which the US Centers for Medicare and Medicaid Services are now able to withhold payments <abbrgrp><abbr bid="B4">4</abbr></abbrgrp>, thereby shifting the cost onto the hospitals rather than healthcare payers who reimburse the clinical facilities. Given this change in the economic context for infection control, decision makers are likely to pay more attention to the cost effectiveness of interventions they employ to reduce rates of CR-BSI <abbrgrp><abbr bid="B5">5</abbr></abbrgrp>.</p>
         <p>The use of specific types of antimicrobial-coated central venous catheter (A-CVC) to prevent CR-BSI has been shown in earlier economic evaluations to be cost-saving and generate health benefits within the wider healthcare system <abbrgrp><abbr bid="B6">6</abbr><abbr bid="B7">7</abbr></abbrgrp>. However, not all have been evaluated and there are concerns over the quality of these evaluations and the usefulness of their findings for real-world decision making <abbrgrp><abbr bid="B8">8</abbr></abbrgrp>.</p>
         <p>Problems with the existing economic evidence contribute to the ongoing uncertainty about the use of A-CVCs. First, the relative cost effectiveness of the different types of A-CVC is unknown as none of the previous evaluations compared all available types. Second, recent epidemiological evidence <abbrgrp><abbr bid="B1">1</abbr></abbrgrp> suggests earlier evaluations may have overestimated the attributable mortality and length of stay associated with CR-BSI, and these were key drivers of the results <abbrgrp><abbr bid="B8">8</abbr></abbrgrp>. Third, the excess length of stay due to infection is a major source of cost savings and the dollar value given to each bed day released will depend on the preferences of the decision maker. They cannot be directly observed and require careful elicitation, and the valuation may change depending on who is making the decision. To date there has been no discussion as to how these value judgments are derived, creating another subtle source of uncertainty in the results of the earlier evaluations.</p>
         <p>There is continued uncertainty among clinicians over which, if any, A-CVC to use. Clinical guidelines recommend their use only in specific circumstances <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>, and evidence suggests that the uptake of these technologies remains patchy <abbrgrp><abbr bid="B10">10</abbr><abbr bid="B11">11</abbr></abbrgrp>. The purpose of this study is to evaluate the cost effectiveness of adopting A-CVCs to prevent CR-BSI in Australian intensive care units (ICUs). We considered all available catheter types, used updated estimates of the consequences of infection, and explored how uncertainty can impact the adoption decision. By doing so, we provide a deeper analysis of this infection control decision that will support those working in this clinical area.</p>
      </sec>
      <sec>
         <st>
            <p>Materials and methods</p>
         </st>
         <p>We undertook an economic evaluation to identify the cost effectiveness of triple-lumen A-CVCs for standard use in Australian adult ICUs. We considered all commercially manufactured A-CVCs sold in Australia: minocycline and rifampicin (MR)-coated catheters; silver, platinum and carbon (SPC)-impregnated catheters; and two chlorhexidine and silver sulfadiazine-coated catheters; one coated on the external surface (CH/SSD (ext)) and the other coated on both catheter surfaces (CH/SSD (int/ext)). The baseline comparator was uncoated polyurethane catheters.</p>
         <sec>
            <st>
               <p>Model development</p>
            </st>
            <p>Clinical events used to structure the model were identified in conjunction with intensive care clinicians. Clinical and economic events under a healthcare perspective were identified and organized into Markov states (Figure <figr fid="F1">1</figr>). Patients were assumed to receive a CVC on entry to ICU, and over subsequent daily cycles either retained their catheter, had it removed, or developed a CR-BSI <abbrgrp><abbr bid="B12">12</abbr></abbrgrp>. Patients faced an underlying risk of mortality whilst in the ICU and a further risk should they develop CR-BSI. The surviving cohort was modeled for the remainder of their lifetime in monthly cycles, moving to yearly cycles 1 year after discharge.</p>
            <fig id="F1">
               <title>
                  <p>Figure 1</p>
               </title>
               <caption>
                  <p>Markov model used for the evaluation</p>
               </caption>
               <text>
                  <p>Markov model used for the evaluation.</p>
               </text>
               <graphic file="cc7744-1"/>
            </fig>
            <p>ICUs were assumed to have existing optimal infection control procedures in place. Multiple catheterizations, catheters inserted or removed outside the ICU and future catheterizations were excluded. We did not model catheter colonization, as this event alone carries no health or economic consequences, or anaphylactic reaction to the CH/SSD catheters <abbrgrp><abbr bid="B13">13</abbr></abbrgrp>, as this event is rare. The effectiveness of all catheters and the consequences of CR-BSI were considered independent of patient age or disease severity and causative microorganisms. Treatment success was considered to be final and we did not model recurrence of infection. Economic costs were measured in 2006 Australian dollars and health outcomes in quality-adjusted life years (QALYs). Costs and health outcomes relating to the original ICU experience but occurring in future time periods were discounted at a rate of 3%. In line with recommendations <abbrgrp><abbr bid="B14">14</abbr></abbrgrp> we did not attempt to model future access to healthcare.</p>
         </sec>
         <sec>
            <st>
               <p>Framework for evaluation</p>
            </st>
            <p>The strong evidence that CR-BSI increases of length of stay in the ICU and general wards suggests that health care costs will vary between catheters if they differ in effectiveness at preventing infection. Conversely, there is relatively weak evidence for the causal relationship between CR-BSI and mortality; this implies a tenuous difference in health outcomes for different catheter choices. One approach is to assume that health outcomes (measured in QALYs) are the same for all catheter types and so economic evaluation could be simplified to a cost-minimization analysis. This approach to making decisions is, however, unhelpful <abbrgrp><abbr bid="B15">15</abbr></abbrgrp>. Studies have not shown an absence of effect; rather, they have been unable to show a statistically significant positive effect between CR-BSI and mortality. The best interpretation is that we are uncertain about any relationship between CR-BSI and mortality. Thus we chose to use cost effectiveness analysis (CEA) and explore the impact of the uncertainty about attributable mortality (and other model parameters) on our conclusions.</p>
         </sec>
         <sec>
            <st>
               <p>Data sources</p>
            </st>
            <p>Parameters used in the model are shown in Table <tblr tid="T1">1</tblr>. Where estimates were obtained from the literature, relevant articles were identified via reproducible searches in the Medline database to 1 January 2008, and earlier economic evaluations of strategies to prevent CR-BSI were reviewed. Bibliographic details for all relevant studies identified in these searches are provided in Additional data file <supplr sid="S1">1</supplr>.</p>
            <suppl id="S1">
               <title>
                  <p>Additional file 1</p>
               </title>
               <text>
                  <p>A Word file that provides bibliographic details for all relevant studies retrieved in literature searches for: estimates of the clinical and economic outcomes of CR-BSI, systematic reviews of the effectiveness of antimicrobial catheters, and QALY weights for ICU patients.</p>
               </text>
               <file name="cc7744-S1.doc">
                  <p>Click here for file</p>
               </file>
            </suppl>
            <tbl id="T1" hint_layout="double">
               <title>
                  <p>Table 1</p>
               </title>
               <caption>
                  <p>Parameter estimates used in the model</p>
               </caption>
               <tblbdy cols="7">
                  <r>
                     <c cspan="2" ca="left">
                        <p>
                           <b>Parameters</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Baseline estimate</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Variation (SEM)</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Distribution</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Source</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Level of evidence</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="7">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c cspan="7" ca="left">
                        <p>Infection-related events:</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>Probability of CR-BSI</p>
                     </c>
                     <c cspan="2" ca="center">
                        <p>Modeled in stepwise increments<sup>a</sup></p>
                     </c>
                     <c ca="center">
                        <p>Beta</p>
                     </c>
                     <c ca="center">
                        <p>Database</p>
                     </c>
                     <c ca="center">
                        <p>1</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>RR mortality (CR-BSI)</p>
                     </c>
                     <c ca="center">
                        <p>1.06</p>
                     </c>
                     <c ca="center">
                        <p>0.18</p>
                     </c>
                     <c ca="center">
                        <p>Log normal</p>
                     </c>
                     <c ca="center">
                        <p>
                           <abbrgrp>
                              <abbr bid="B1">1</abbr>
                           </abbrgrp>
                        </p>
                     </c>
                     <c ca="center">
                        <p>2</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>Extra days in the ICU</p>
                     </c>
                     <c ca="center">
                        <p>2.41</p>
                     </c>
                     <c ca="center">
                        <p>0.83</p>
                     </c>
                     <c ca="center">
                        <p>Log normal</p>
                     </c>
                     <c ca="center">
                        <p>
                           <abbrgrp>
                              <abbr bid="B22">22</abbr>
                           </abbrgrp>
                        </p>
                     </c>
                     <c ca="center">
                        <p>2</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>Extra days on hospital ward</p>
                     </c>
                     <c ca="center">
                        <p>7.54</p>
                     </c>
                     <c ca="center">
                        <p>1.81</p>
                     </c>
                     <c ca="center">
                        <p>Log normal</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c cspan="7">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c cspan="7" ca="left">
                        <p>Effectiveness A-CVCs (RR):</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>SPC</p>
                     </c>
                     <c ca="center">
                        <p>0.54</p>
                     </c>
                     <c ca="center">
                        <p>0.62</p>
                     </c>
                     <c ca="center">
                        <p>Log transformed normal</p>
                     </c>
                     <c ca="center">
                        <p>
                           <abbrgrp>
                              <abbr bid="B21">21</abbr>
                           </abbrgrp>
                        </p>
                     </c>
                     <c ca="center">
                        <p>1 +</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>CH/SSD (ext)</p>
                     </c>
                     <c ca="center">
                        <p>0.66</p>
                     </c>
                     <c ca="center">
                        <p>0.17</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>CH/SSD (int/ext)</p>
                     </c>
                     <c ca="center">
                        <p>0.70</p>
                     </c>
                     <c ca="center">
                        <p>0.43</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>MR</p>
                     </c>
                     <c ca="center">
                        <p>0.39</p>
                     </c>
                     <c ca="center">
                        <p>0.43</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c cspan="7">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c cspan="7" ca="left">
                        <p>Baseline probabilities of mortality:</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>ICU mortality</p>
                     </c>
                     <c ca="center">
                        <p>0.098</p>
                     </c>
                     <c ca="center">
                        <p>0.002</p>
                     </c>
                     <c ca="center">
                        <p>Beta</p>
                     </c>
                     <c ca="center">
                        <p>Dataset</p>
                     </c>
                     <c ca="center">
                        <p>2</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>Hospital mortality</p>
                     </c>
                     <c ca="center">
                        <p>0.069</p>
                     </c>
                     <c ca="center">
                        <p>0.001</p>
                     </c>
                     <c ca="center">
                        <p>Beta</p>
                     </c>
                     <c ca="center">
                        <p>Dataset</p>
                     </c>
                     <c ca="center">
                        <p>2</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Annual mortality post discharge</p>
                     </c>
                     <c ca="left">
                        <p>Year 1</p>
                     </c>
                     <c ca="center">
                        <p>0.050</p>
                     </c>
                     <c ca="center">
                        <p>0.002</p>
                     </c>
                     <c ca="center">
                        <p>Beta</p>
                     </c>
                     <c ca="center">
                        <p>
                           <abbrgrp>
                              <abbr bid="B24">24</abbr>
                           </abbrgrp>
                        </p>
                     </c>
                     <c ca="center">
                        <p>2</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Years 2 to 3</p>
                     </c>
                     <c ca="center">
                        <p>0.027</p>
                     </c>
                     <c ca="center">
                        <p>0.002</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Years 4 to 5</p>
                     </c>
                     <c ca="center">
                        <p>0.028</p>
                     </c>
                     <c ca="center">
                        <p>0.002</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Years 6 to 10</p>
                     </c>
                     <c ca="center">
                        <p>0.037</p>
                     </c>
                     <c ca="center">
                        <p>0.003</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Years 11 to 15</p>
                     </c>
                     <c ca="center">
                        <p>0.042</p>
                     </c>
                     <c ca="center">
                        <p>0.003</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Underlying annual mortality</p>
                     </c>
                     <c ca="left">
                        <p>45 to 64 years</p>
                     </c>
                     <c ca="center">
                        <p>0.004</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="center">
                        <p>NA</p>
                     </c>
                     <c ca="center">
                        <p>
                           <abbrgrp>
                              <abbr bid="B25">25</abbr>
                           </abbrgrp>
                        </p>
                     </c>
                     <c ca="center">
                        <p>1</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>65 to 84 years</p>
                     </c>
                     <c ca="center">
                        <p>0.030</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>85 + years</p>
                     </c>
                     <c ca="center">
                        <p>0.140</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c cspan="7">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c cspan="7" ca="left">
                        <p>Utilities:</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>Utility ICU</p>
                     </c>
                     <c ca="center">
                        <p>0.66</p>
                     </c>
                     <c ca="center">
                        <p>0.27</p>
                     </c>
                     <c ca="center">
                        <p>Beta</p>
                     </c>
                     <c ca="center">
                        <p>
                           <abbrgrp>
                              <abbr bid="B28">28</abbr>
                           </abbrgrp>
                        </p>
                     </c>
                     <c ca="center">
                        <p>3</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Utilities population norms</p>
                     </c>
                     <c ca="left">
                        <p>50 to 59 years</p>
                     </c>
                     <c ca="center">
                        <p>0.80</p>
                     </c>
                     <c ca="center">
                        <p>0.22</p>
                     </c>
                     <c ca="center">
                        <p>Beta</p>
                     </c>
                     <c ca="center">
                        <p>
                           <abbrgrp>
                              <abbr bid="B27">27</abbr>
                           </abbrgrp>
                        </p>
                     </c>
                     <c ca="center">
                        <p>3</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>60 to 69 years</p>
                     </c>
                     <c ca="center">
                        <p>0.79</p>
                     </c>
                     <c ca="center">
                        <p>0.19</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>70 to 79 years</p>
                     </c>
                     <c ca="center">
                        <p>0.75</p>
                     </c>
                     <c ca="center">
                        <p>0.25</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>80 + years</p>
                     </c>
                     <c ca="center">
                        <p>0.66</p>
                     </c>
                     <c ca="center">
                        <p>0.29</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c cspan="7">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c cspan="7" ca="left">
                        <p>Costs, 2006 AUD:</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>ICU bed day</p>
                     </c>
                     <c ca="center">
                        <p>3,021</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="center">
                        <p>NA</p>
                     </c>
                     <c ca="center">
                        <p>
                           <abbrgrp>
                              <abbr bid="B31">31</abbr>
                           </abbrgrp>
                        </p>
                     </c>
                     <c ca="center">
                        <p>4</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>Hospital bed day</p>
                     </c>
                     <c ca="center">
                        <p>843</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="center">
                        <p>NA</p>
                     </c>
                     <c ca="center">
                        <p>
                           <abbrgrp>
                              <abbr bid="B32">32</abbr>
                           </abbrgrp>
                        </p>
                     </c>
                     <c ca="center">
                        <p>3</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>Diagnostics CR-BSI</p>
                     </c>
                     <c ca="center">
                        <p>101.70</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="center">
                        <p>NA</p>
                     </c>
                     <c ca="center">
                        <p>Database</p>
                     </c>
                     <c ca="center">
                        <p>1</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" cspan="2" ca="left">
                        <p>Treatment CR-BSI</p>
                     </c>
                     <c ca="center">
                        <p>591.30</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="center">
                        <p>NA</p>
                     </c>
                     <c ca="center">
                        <p>Database</p>
                     </c>
                     <c ca="center">
                        <p>1</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Additional cost per catheter</p>
                     </c>
                     <c ca="left">
                        <p>SPC</p>
                     </c>
                     <c ca="center">
                        <p>22.36</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="center">
                        <p>NA</p>
                     </c>
                     <c ca="center">
                        <p>Database</p>
                     </c>
                     <c ca="center">
                        <p>1</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>CH/SSD (ext)</p>
                     </c>
                     <c ca="center">
                        <p>11.64</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>CH/SSD (int/ext)</p>
                     </c>
                     <c ca="center">
                        <p>41.35</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>MR</p>
                     </c>
                     <c ca="center">
                        <p>59.36</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
               </tblbdy>
               <tblfn>
                  <p><sup>a</sup>Available on request from the authors.</p>
                  <p>A-CVCs, antimicrobial central venous catheters; CH/SSD, chlorhexidine silver sulfadiazine; CR-BSI, catheter related bloodstream infection; ICU, intensive care unit; int/ext, internally and externally coated; MR, minocycline and rifampicin; RR, relative risk; SPC, silver, platinum and carbon.</p>
               </tblfn>
            </tbl>
            <p>The context of the evaluation was a level 3 (tertiary referral) ICU <abbrgrp><abbr bid="B16">16</abbr></abbrgrp>. Based on a 4-year dataset of 11,790 ICU admissions we assumed that 17% would receive a CVC <abbrgrp><abbr bid="B17">17</abbr></abbrgrp>. This catheterized cohort had a mean age of 62.7 (standard deviation (SD) 17.2) years, mean Acute Physiology and Chronic Health Evaluation II score of 17.1 (SD 8) and 65% were male. These estimates are comparable to those reported for 46 publicly funded ICUs by the Australia and New Zealand Intensive Care Society <abbrgrp><abbr bid="B18">18</abbr></abbrgrp>. Baseline risk of ICU mortality was 9.8% and 16.1% by hospital discharge.</p>
            <p>Probability of CR-BSI was modeled as increasing in stepwise increments with duration of catheterization <abbrgrp><abbr bid="B19">19</abbr></abbrgrp> to give an overall incidence of infection of 2.5%. This was observed in routine surveillance data collected from February 2001 to December 2005 in 21 medium-to-large public hospitals in Queensland, Australia <abbrgrp><abbr bid="B20">20</abbr></abbrgrp>. Estimates for the effectiveness of each type of A-CVC were taken from a single systematic review, chosen from amongst 14 identified because it provided relative risks separately for each type of coating <abbrgrp><abbr bid="B21">21</abbr></abbrgrp>.</p>
            <p>The relative risk of hospital mortality associated with CR-BSI was estimated to be 1.06 <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>. Given a 9.8% baseline risk, this corresponds to an absolute increase in mortality of just under 1%. Excess length of stay due to infection was estimated at 2.4 ICU and 7.5 general ward days <abbrgrp><abbr bid="B22">22</abbr></abbrgrp>. These values were chosen from amongst 19 estimates of attributable mortality and 11 estimates of increases to length of stay identified in a literature search, as they were of high quality (judgment based on Samore and Harbarth <abbrgrp><abbr bid="B23">23</abbr></abbrgrp>) and the population was comparable to our ICU context.</p>
            <p>Annual mortality rates for 15 years post ICU discharge were taken from a data linkage study <abbrgrp><abbr bid="B24">24</abbr></abbrgrp> that followed over 10,000 Australian ICU patients. Subsequent life expectancy was based on Australian Institute of Health and Welfare published age-specific mortality rates <abbrgrp><abbr bid="B25">25</abbr></abbrgrp>. To calculate QALYs, preference based utility weights were assigned to cycles spent in the ICU and 6 months immediately post discharge. Although evidence suggests that quality of life may be reduced in some survivors for a longer period post discharge <abbrgrp><abbr bid="B26">26</abbr></abbrgrp>, information on this was unavailable for our population. Therefore, to be conservative, life expectancy for those surviving beyond this period was adjusted using Australian population quality of life norms <abbrgrp><abbr bid="B27">27</abbr></abbrgrp>. In all, 14 studies estimated utility weights for ICU patients. Values were used from the study <abbrgrp><abbr bid="B28">28</abbr></abbrgrp> with participant demographics most similar to our cohort. This study used an instrument (the EQ-5D) shown to predict weights similar to the Australian Quality of Life instrument used to derive population norms <abbrgrp><abbr bid="B29">29</abbr></abbrgrp>. No further quality of life decrement was attributed to CR-BSI.</p>
            <p>All costs were valued at 2006 prices, using the Australian Bureau of Labor Statistics Consumer Price Index <abbrgrp><abbr bid="B30">30</abbr></abbrgrp> to adjust where necessary. Consumable costs in the evaluation included the price of a catheter, diagnosis costs of one catheter tip and two blood cultures per CR-BSI and treatment costs. Treatment costs were a weighted average of the cost of standard regimens for causative organisms observed within the surveillance system: 2 weeks vancomycin, 10 days ticarcillin, 4 weeks fluconazole. Prices for all consumables reflect those faced by Queensland Health decision makers.</p>
            <p>The economic value of bed days released by the prevention of CR-BSI was assessed from two alternate perspectives. A broader perspective of the healthcare decision maker who manages waiting lists, and for whom there is a real economic benefit in releasing a bed day for another patient to occupy, and a narrower perspective of a manager working within an ICU or hospital. Values to represent the broader perspective were obtained for an ICU bed day from a detailed costing study of an Australian ICU <abbrgrp><abbr bid="B31">31</abbr></abbrgrp> and for a general ward bed day from an earlier economic evaluation which considered spending patterns for Australian public hospital services <abbrgrp><abbr bid="B32">32</abbr></abbrgrp>. These estimates of AUD $3,021 and AUD $843 represent short-run average costs calculated by dividing total costs (that is, fixed and variable costs) by the total bed days for a 12-month budget period. They may or may not approximate the economic opportunity cost of losing a bed day to CR-BSI. The alternate narrow perspective value considered only the variable cost per bed day. Variable costs are the cash savings that budget holders within the hospital can recoup if bed days are not used; they include items such as fluids, dressings and pharmaceuticals. These costs are meaningful to hospital administrators, who cannot avoid fixed operating costs even if infections reduce <abbrgrp><abbr bid="B33">33</abbr></abbrgrp>. An important caveat for the narrow perspective costs is that they decrease over the duration of ICU stay <abbrgrp><abbr bid="B34">34</abbr></abbrgrp>; we assumed it would be later, less costly, days released by preventing infection and adjusted our baseline estimates based on the daily pattern of variable costs reported in a similar patient population <abbrgrp><abbr bid="B34">34</abbr></abbrgrp>, to give estimates of AUD $335 for ICUs and AUD $101 for general wards.</p>
         </sec>
         <sec>
            <st>
               <p>Model evaluation</p>
            </st>
            <p>Model evaluation was performed in three stages. First, uncertainty in the cost effectiveness evaluation was ignored and a single value was used for each model parameter. The incremental change in costs (&#916;<it>C</it>) and QALYs (&#916;<it>E</it>) were estimated for each type of A-CVC and incremental cost effectiveness ratios (ICERs) were calculated (&#916;<it>C</it>/&#916;<it>E</it>). A catheter type was considered to be cost-saving if greater health benefits and reduced costs were achieved as compared to uncoated catheters, and considered cost effective if the ICER was below a threshold willingness-to-pay ratio (&#955;) of AUD $40,000 per QALY. This threshold was chosen based on an analysis of positive reimbursement decisions made by the Pharmaceutical Benefits Advisory Committee, Australia <abbrgrp><abbr bid="B35">35</abbr></abbrgrp>.</p>
            <p>Second, probabilistic sensitivity analysis (PSA) <abbrgrp><abbr bid="B36">36</abbr></abbrgrp> was used to capture uncertainty in the current data. The error in each estimate (parameter) used in the model, as described by its standard error, was characterized using an appropriate probability distribution (Table <tblr tid="T1">1</tblr>), except costs that were assumed known in the context of the evaluation. A total of 10,000 Monte Carlo simulations were run; in each one a new value was drawn for each parameter from within the distribution specified. The results of each simulation were presented as the monetary net benefits generated by each catheter type. Monetary net benefits were used as they are linear and have improved properties as compared to ICERs for decision making <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>. Although we expressed net benefits in monetary terms, this is not a cost-benefit analysis. Monetary net benefits were calculated by valuing incremental QALYs generated by the A-CVC at $40,000 each (the willingness-to-pay threshold) and then subtracting incremental costs (that is, NB = (&#955; &#215; &#916;<it>E</it>)-&#916;<it>C</it>).</p>
            <p>The average monetary net benefit across the 10,000 simulations was calculated for each catheter type along with 95% confidence intervals (CIs). Given the economic objective of maximizing benefits given scarce resources, the optimal decision was defined as the catheter associated with the highest average monetary net benefit; choosing anything else would incur an opportunity cost. The likelihood of error in this conclusion was also calculated. The proportion of simulations in which a catheter returned the highest monetary net benefit represents the probability that catheter type is optimal; 1 minus this proportion represents the probability that the catheter does not return the highest monetary net benefits, but instead incurs a cost, and the decision is incorrect. Table <tblr tid="T2">2</tblr> illustrates this interpretation using hypothetical data for two novel treatments compared to standard practice.</p>
            <tbl id="T2" hint_layout="double">
               <title>
                  <p>Table 2</p>
               </title>
               <caption>
                  <p>Monetary net benefits for a hypothetical evaluation comparing two novel treatments to standard practice</p>
               </caption>
               <tblbdy cols="5">
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Standard practice</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Treatment A</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Treatment B</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Optimal choice</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="5">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Simulation 1</p>
                     </c>
                     <c ca="center">
                        <p>140</p>
                     </c>
                     <c ca="center">
                        <p>150</p>
                     </c>
                     <c ca="center">
                        <p>160</p>
                     </c>
                     <c ca="center">
                        <p>B</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Simulation 2</p>
                     </c>
                     <c ca="center">
                        <p>100</p>
                     </c>
                     <c ca="center">
                        <p>110</p>
                     </c>
                     <c ca="center">
                        <p>120</p>
                     </c>
                     <c ca="center">
                        <p>B</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Simulation 3</p>
                     </c>
                     <c ca="center">
                        <p>110</p>
                     </c>
                     <c ca="center">
                        <p>100</p>
                     </c>
                     <c ca="center">
                        <p>100</p>
                     </c>
                     <c ca="center">
                        <p>Standard</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Simulation 4</p>
                     </c>
                     <c ca="center">
                        <p>100</p>
                     </c>
                     <c ca="center">
                        <p>150</p>
                     </c>
                     <c ca="center">
                        <p>130</p>
                     </c>
                     <c ca="center">
                        <p>A</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Simulation 5</p>
                     </c>
                     <c ca="center">
                        <p>130</p>
                     </c>
                     <c ca="center">
                        <p>120</p>
                     </c>
                     <c ca="center">
                        <p>110</p>
                     </c>
                     <c ca="center">
                        <p>Standard</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Average expected net benefit</p>
                     </c>
                     <c ca="center">
                        <p>116</p>
                     </c>
                     <c ca="center">
                        <p>126</p>
                     </c>
                     <c ca="center">
                        <p>124</p>
                     </c>
                     <c ca="center">
                        <p>Standard/A/B = 40%/20%/40%</p>
                     </c>
                  </r>
               </tblbdy>
               <tblfn>
                  <p>Results are expressed as monetary net benefits, each simulation is equally likely to be 'true'. Treatment A is associated with the highest expected net benefit (AUD $126), but because the distribution of monetary net benefits is skewed, it is preferred in only 20% of samples. Treatment A is therefore optimal, but the error probability associated with this choice is 80%. This probability is substantially higher than the 5% used for tests of statistical significance. The choice to remain with standard practice still carries a 40% probability of not returning the highest monetary net benefits and could be expected to incur economic costs of AUD $10 (AUD $126 minus AUD $116). The alternative with the highest monetary net benefit is the optimal decision, but that decision can be highly uncertain.</p>
               </tblfn>
            </tbl>
            <p>Third, we used scenario analysis to explore uncertainty introduced by the fact that some data used in the model was of low quality. Using a modified version <abbrgrp><abbr bid="B38">38</abbr></abbrgrp> of the potential hierarchies of data sources for economic evaluations <abbrgrp><abbr bid="B39">39</abbr></abbrgrp>, we identified data of medium and low quality (Table <tblr tid="T1">1</tblr>); defined as scoring level 3 or below. For each parameter with medium/low quality data we assigned a plausible alternate value and re-evaluated the model. The dollar value given to the opportunity cost of bed days was changed to reflect the broader and narrower perspectives of different decision makers. A higher estimate for attributable mortality of 15% was used, which is comparable to that assumed in earlier economic evaluations of A-CVCs. Higher estimates of the extension to stay of 6.5 days on the ICU and 6 days on the general ward due to CR-BSI were used. All utility weights for health states were removed, which is equivalent to using unadjusted life years rather than QALYs. The final scenario reflected the fact that the absolute effectiveness and cost effectiveness of A-CVCs will be dependent on starting rates of infection <abbrgrp><abbr bid="B40">40</abbr></abbrgrp>; lower (0.8%) and higher (5.0%) rates were used to cover the range reported from individual hospitals within the surveillance dataset. In each scenario we reran an analysis to recalculate the monetary net benefit for each catheter type and so identify the optimal catheter.</p>
         </sec>
      </sec>
      <sec>
         <st>
            <p>Results</p>
         </st>
         <p>The results of the first analysis, without uncertainty, showed all four types of A-CVC were cost-saving relative to uncoated catheters (Figure <figr fid="F2">2</figr>). The antibiotic-coated catheter (MR) achieved the greatest health benefits and lowest costs and dominated the use of uncoated and the three antiseptic-coated catheter types (SPC, CH/SSD (ext) and CH/SSD (int/ext)). Compared to uncoated catheters, the use of MR catheters avoided 15 infections and generated 1.6 QALYs per 1,000 catheters placed. The MR catheters also released 32 ICU bed days and 95 general ward bed days and achieved cost savings of AUD $130,000 per 1,000 catheters (Table <tblr tid="T3">3</tblr>).</p>
         <fig id="F2">
            <title>
               <p>Figure 2</p>
            </title>
            <caption>
               <p>Cost effectiveness of antimicrobial central venous catheters in the baseline analysis (results per 1,000 catheters)</p>
            </caption>
            <text>
               <p>Cost effectiveness of antimicrobial central venous catheters in the baseline analysis (results per 1,000 catheters). CH/SSD (int/ext) = internally and externally coated chlorhexidine and silver sulfadiazine catheters; CH/SSD (ext) = externally coated chlorhexidine and silver sulfadiazine catheters; SPC = silver, platinum and carbon impregnated catheters; MR = minocycline and rifampicin coated catheters; QALY = quality-adjusted life year.</p>
            </text>
            <graphic file="cc7744-2"/>
         </fig>
         <tbl id="T3" hint_layout="double">
            <title>
               <p>Table 3</p>
            </title>
            <caption>
               <p>Economic evaluation of antimicrobial central venous catheters: incremental costs and health outcomes under baseline analysis</p>
            </caption>
            <tblbdy cols="7">
               <r>
                  <c ca="left">
                     <p>
                        <b>Catheter type</b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>Infections avoided<sup>a</sup></b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>ICU bed days released<sup>a</sup></b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>Costs saved<sup>a </sup>(2006 AUD)</b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>QALYs gained<sup>a</sup></b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>ICER</b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>Average monetary net benefits<sup>b </sup>(95% confidence interval)</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c cspan="7">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Uncoated</p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c ca="center">
                     <p>390,664 (371,984 to 408,416)</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>CH/SSD (ext)</p>
                  </c>
                  <c ca="center">
                     <p>8.4</p>
                  </c>
                  <c ca="center">
                     <p>18.1</p>
                  </c>
                  <c ca="center">
                     <p>$93,281</p>
                  </c>
                  <c ca="center">
                     <p>0.91</p>
                  </c>
                  <c ca="center">
                     <p>Dominated</p>
                  </c>
                  <c ca="center">
                     <p>391,212 (372,736 to 408,687)</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>CH/SSD (int/ext)</p>
                  </c>
                  <c ca="center">
                     <p>7.4</p>
                  </c>
                  <c ca="center">
                     <p>15.9</p>
                  </c>
                  <c ca="center">
                     <p>$51,126</p>
                  </c>
                  <c ca="center">
                     <p>0.80</p>
                  </c>
                  <c ca="center">
                     <p>Dominated</p>
                  </c>
                  <c ca="center">
                     <p>391,030 (372,467 to 408,574)</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>SPC</p>
                  </c>
                  <c ca="center">
                     <p>11.4</p>
                  </c>
                  <c ca="center">
                     <p>24.6</p>
                  </c>
                  <c ca="center">
                     <p>$120,062</p>
                  </c>
                  <c ca="center">
                     <p>1.23</p>
                  </c>
                  <c ca="center">
                     <p>Dominated</p>
                  </c>
                  <c ca="center">
                     <p>391,206 (372,687 to 408,772)</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>MR</p>
                  </c>
                  <c ca="center">
                     <p>15.2</p>
                  </c>
                  <c ca="center">
                     <p>32.8</p>
                  </c>
                  <c ca="center">
                     <p>$130,289</p>
                  </c>
                  <c ca="center">
                     <p>1.64</p>
                  </c>
                  <c ca="center">
                     <p>Cost-saving</p>
                  </c>
                  <c ca="center">
                     <p>391,612 (373,159 to 408,861)</p>
                  </c>
               </r>
            </tblbdy>
            <tblfn>
               <p><sup>a</sup>Results presented per 1,000 catheters; <sup>b</sup>Monetary net benefits reported per catheter assuming a willingness-to-pay for a QALY of AUD $40,000.</p>
               <p>CH/SSD, chlorhexidine silver sulfadiazine; ICER, incremental cost effectiveness ratio; ICU, intensive care unit; int/ext, internally and externally coated; QALY, quality-adjusted life year; MR, minocycline and rifampicin; SPC, silver, platinum and carbon.</p>
            </tblfn>
         </tbl>
         <p>The second analysis based on PSA to incorporate uncertainty indicated that at a willingness-to-pay threshold of AUD $40,000 per QALY the average monetary net benefits estimated for each catheter type were very similar with substantial overlap in the 95% CIs (Table <tblr tid="T3">3</tblr>). Figure <figr fid="F3">3</figr> shows the distribution of monetary net benefits for the MR, CH/SSD (ext) and uncoated catheters, for clarity the other catheter types have been omitted as their distributions lie over those presented. The MR catheters returned the highest monetary net benefits and represented the optimal choice given current information. They are associated with expected incremental monetary net benefits of AUD $948 per catheter relative to retaining the uncoated type (that is, the average monetary net benefits for a MR catheter, AUD $391,612, minus those for an uncoated catheter, AUD $390,664); however the probability of error in this decision is 62% (Table <tblr tid="T4">4</tblr>).</p>
         <fig id="F3">
            <title>
               <p>Figure 3</p>
            </title>
            <caption>
               <p>Distribution of monetary net benefits associated with selected catheter types</p>
            </caption>
            <text>
               <p>Distribution of monetary net benefits associated with selected catheter types. CH/SSD (ext) = externally coated chlorhexidine and silver sulfadiazine catheters; MR = minocycline and rifampicin coated catheters; QALY = quality-adjusted life year.</p>
            </text>
            <graphic file="cc7744-3"/>
         </fig>
         <tbl id="T4" hint_layout="double">
            <title>
               <p>Table 4</p>
            </title>
            <caption>
               <p>Optimal choice of catheter under uncertainty, given different data scenarios</p>
            </caption>
            <tblbdy cols="7">
               <r>
                  <c ca="left">
                     <p>
                        <b>Scenario</b>
                     </p>
                  </c>
                  <c cspan="2" ca="center">
                     <p>
                        <b>Optimal catheter choice</b>
                     </p>
                  </c>
                  <c cspan="2" ca="center">
                     <p>
                        <b>Incremental outcomes with no uncertainty</b>
                     </p>
                  </c>
                  <c cspan="2" ca="center">
                     <p>
                        <b>Average incremental monetary net benefits given uncertainty<sup>b</sup></b>
                     </p>
                  </c>
               </r>
               <r>
                  <c>
                     <p/>
                  </c>
                  <c cspan="6">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c>
                     <p/>
                  </c>
                  <c ca="center">
                     <p>
                        <b>Catheter type</b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>Probability of error</b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>Costs</b>
                        <sup>a</sup>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>QALYs</b>
                        <sup>a</sup>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>Mean</b>
                     </p>
                  </c>
                  <c ca="center">
                     <p>
                        <b>95% Confidence interval</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c cspan="7">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Baseline</p>
                  </c>
                  <c ca="center">
                     <p>MR</p>
                  </c>
                  <c ca="center">
                     <p>0.62</p>
                  </c>
                  <c ca="center">
                     <p>- $130,289</p>
                  </c>
                  <c ca="center">
                     <p>1.64</p>
                  </c>
                  <c ca="center">
                     <p>948</p>
                  </c>
                  <c ca="center">
                     <p>-106 to 3,792</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Low bed day ($335 ICU/$101 ward)</p>
                  </c>
                  <c ca="center">
                     <p>MR</p>
                  </c>
                  <c ca="center">
                     <p>0.76</p>
                  </c>
                  <c ca="center">
                     <p>+ $28,257</p>
                  </c>
                  <c ca="center">
                     <p>1.64</p>
                  </c>
                  <c ca="center">
                     <p>191</p>
                  </c>
                  <c ca="center">
                     <p>-348 to 1,317</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>High mortality (15%)</p>
                  </c>
                  <c ca="center">
                     <p>MR</p>
                  </c>
                  <c ca="center">
                     <p>0.46</p>
                  </c>
                  <c ca="center">
                     <p>- $106,223</p>
                  </c>
                  <c ca="center">
                     <p>26.65</p>
                  </c>
                  <c ca="center">
                     <p>2,441</p>
                  </c>
                  <c ca="center">
                     <p>116 to 8,516</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>No utility weights used</p>
                  </c>
                  <c ca="center">
                     <p>MR</p>
                  </c>
                  <c ca="center">
                     <p>0.62</p>
                  </c>
                  <c ca="center">
                     <p>- $130,289</p>
                  </c>
                  <c ca="center">
                     <p>2.33</p>
                  </c>
                  <c ca="center">
                     <p>1,042</p>
                  </c>
                  <c ca="center">
                     <p>-166 to 3,961</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Increased length of stay (6.5 days ICU/6 days ward)</p>
                  </c>
                  <c ca="center">
                     <p>MR</p>
                  </c>
                  <c ca="center">
                     <p>0.56</p>
                  </c>
                  <c ca="center">
                     <p>- $282,038</p>
                  </c>
                  <c ca="center">
                     <p>1.64</p>
                  </c>
                  <c ca="center">
                     <p>1,239</p>
                  </c>
                  <c ca="center">
                     <p>-57 to 4,795</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>Low infection rate (0.8%)</p>
                  </c>
                  <c ca="center">
                     <p>MR</p>
                  </c>
                  <c ca="center">
                     <p>0.75</p>
                  </c>
                  <c ca="center">
                     <p>- $1,972</p>
                  </c>
                  <c ca="center">
                     <p>0.53</p>
                  </c>
                  <c ca="center">
                     <p>325</p>
                  </c>
                  <c ca="center">
                     <p>-71 to 1,283</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>High infection rate (5.0%)</p>
                  </c>
                  <c ca="center">
                     <p>MR</p>
                  </c>
                  <c ca="center">
                     <p>0.56</p>
                  </c>
                  <c ca="center">
                     <p>- $314,400</p>
                  </c>
                  <c ca="center">
                     <p>3.23</p>
                  </c>
                  <c ca="center">
                     <p>1,725</p>
                  </c>
                  <c ca="center">
                     <p>-139 to 6,455</p>
                  </c>
               </r>
            </tblbdy>
            <tblfn>
               <p><sup>a</sup>Relative to uncoated catheters and per 1,000 catheters; <sup>b</sup>Monetary net benefits reported per catheter relative to uncoated catheters assuming a willingness-to-pay for a QALY of AUD $40,000.</p>
               <p>ICU, intensive care unit; QALY, quality-adjusted life year.</p>
            </tblfn>
         </tbl>
         <p>For the third analysis, using alternate scenarios for key parameters, the MR catheters maximized monetary net benefits in all cases. However, the probability of error in this decision was consistently high and the 95% CIs for the estimated monetary net benefits associated with these catheters were large (Table <tblr tid="T4">4</tblr>). The lowest estimate of monetary net benefits arose when bed days were valued at variable cost savings only (that is, the narrow hospital perspective). In this scenario, monetary net benefits associated with MR catheters would be just under AUD $200 per catheter relative to uncoated catheters because the catheters were no longer cost saving instead requiring an increase in expenditure to produce health benefits (Table <tblr tid="T4">4</tblr>). The highest estimate of monetary net benefits was obtained when an attributable mortality of 15% was assumed. In this scenario, MR catheters were cost-saving and generated high monetary net benefits of nearly AUD $2,441 per catheter relative to retaining uncoated catheters. Scenarios that returned higher estimates of expected monetary net benefits were associated with less uncertainty. Under the high mortality scenario the probability that choosing MR catheters as optimal was incorrect fell to 46%, whilst in the low bed days scenario, where expected monetary net benefits were low, the error probability in this decision was 76%.</p>
      </sec>
      <sec>
         <st>
            <p>Discussion</p>
         </st>
         <p>Our evaluation suggests any decision regarding the use of A-CVCs in ICU patients is uncertain. The findings from the first analysis, which do not consider uncertainty, concur with existing economic evidence <abbrgrp><abbr bid="B6">6</abbr><abbr bid="B7">7</abbr></abbrgrp>. This shows that, for all four types of antimicrobial catheter, health gains will be accompanied by cost savings. Given the assumption of a low attributable mortality and a low rate of infection, expected health gains are minimal and the decision is driven by the change in costs. Most of these costs represent the value of obtaining increased capacity within the ICU, rather than cash savings. Nevertheless, the results of the first analysis imply a decision not to adopt these catheters will harm patients by reducing their health status and increasing their risk of mortality and, simultaneously, waste resources within the healthcare system.</p>
         <p>Our second analysis, using PSA, introduces the uncertainty associated with the decision. Based on current information, the MR catheters are the optimal decision because they return the highest net monetary benefits relative to all other catheter types. However, the probability of error in this conclusion is high, at 62%. Our third analysis shows that MR catheters remain the optimal decision across a range of scenarios and quantifies how uncertainty in this decision varies. Uncertainty is lower for scenarios where decision makers believe that attributable mortality is high, where they value bed days highly, or where the starting infection rate is high. This finding fits with conclusions from a recent meta-analysis that suggests that antimicrobial catheters will return a higher treatment benefit when infection rates are high <abbrgrp><abbr bid="B40">40</abbr></abbrgrp>, and provides support for current guidelines which recommend reserving their use for settings with high infection rates <abbrgrp><abbr bid="B9">9</abbr></abbrgrp>. However, even in these scenarios the probability that this conclusion is wrong, and the MR catheters are not optimal, does not reduce below 46%.</p>
         <p>Interpreting the results of cost effectiveness analyses under uncertainty requires decision makers to think beyond conventional error rates as used in statistical analysis. Decision makers looking to maximize health returns from their budget should choose between these catheters by selecting the option with the highest monetary net benefits. Given the current evidence, MR catheters should be chosen even if the probability of error in this conclusion exceeds the standard level of 5% used to define statistical significance. The justification is that a decision not to use them in favor of uncoated catheters would impose economic costs, arising from average monetary net benefits foregone, of AUD $948 per catheter <abbrgrp><abbr bid="B41">41</abbr></abbrgrp> (AUD $391,612 minus AUD $390,664). This conclusion should lead to rapid and sustained uptake of the technology <abbrgrp><abbr bid="B5">5</abbr></abbrgrp>, yet their use appears to be limited despite earlier estimates of these catheters being cost effective <abbrgrp><abbr bid="B6">6</abbr><abbr bid="B7">7</abbr></abbrgrp>. We suggest that uncertainty over this cost effectiveness evidence may be partly responsible.</p>
         <p>Studies have shown that decision makers are heavily influenced by uncertainty <abbrgrp><abbr bid="B35">35</abbr><abbr bid="B42">42</abbr></abbrgrp>. Presenting decision makers with an estimate of uncertainty in the results of an economic evaluation is important for the following reasons: it makes the current state of knowledge about the decision explicit and quantifies confidence (or lack of) in conclusions; it allows them to weigh the cost effectiveness results against other relevant considerations in the adoption decision including their own attitude to risk; and it provides an indication of the value of conducting further research to reduce uncertainty.</p>
         <p>Two aspects to uncertainty are important: the probability of making the wrong choice and the potential consequences of getting it wrong. Both elements are required; a decision with a 5% probability of being wrong may still be perceived as uncertain if the consequences are very large. Decision makers tend to be risk averse. Rather than being focused solely on maximizing health returns, they are also concerned with interventions that have the potential to result in harmful outcomes. If there is no potential for harm then decision makers may be happy to accept a new intervention with a high but uncertain benefit. But where the potential for harm is perceived to be high, an existing intervention with a lower benefit may be preferred. Antimicrobial catheters are perceived to carry a risk of a number of negative outcomes that are likely to deter from their introduction, including the potential for a loss of focus on hygiene procedures. There has also been discussion <abbrgrp><abbr bid="B43">43</abbr></abbrgrp> that MR catheters may select for resistant organisms, with higher morbidity and costs <abbrgrp><abbr bid="B44">44</abbr></abbrgrp>. This negative could outweigh potential short-term benefits from these catheters <abbrgrp><abbr bid="B45">45</abbr></abbrgrp>. An absence of clear evidence <abbrgrp><abbr bid="B46">46</abbr></abbrgrp> makes it difficult to quantitatively incorporate this risk into an economic evaluation <abbrgrp><abbr bid="B47">47</abbr></abbrgrp> but it is an important consideration in the adoption decision.</p>
         <p>Decision makers deciding whether to use antimicrobial catheters also have a second choice: whether to collect more information to reduce uncertainty in their choice <abbrgrp><abbr bid="B48">48</abbr></abbrgrp>. Value of information analysis <abbrgrp><abbr bid="B41">41</abbr></abbrgrp> can be used to estimate the expected monetary net benefits arising from collecting new information and compare this to the anticipated research costs to indicate whether the research is justifiable. It has been suggested further trials of antimicrobial catheters should be undertaken <abbrgrp><abbr bid="B43">43</abbr></abbrgrp>. Due to the relative rarity of infection these will require a large sample size and the involvement of multiple institutions <abbrgrp><abbr bid="B43">43</abbr></abbrgrp>, making them an expensive proposition. Estimating the expected monetary net benefits from a trial would indicate if this is the best way to spend research dollars.</p>
         <p>Some important sources of uncertainty have been explored in these analyses, but there are other uncertain elements in this decision that have not been explicitly examined. There is evidence the relative effectiveness of A-CVCs, as compared to uncoated catheters, varies according to duration of catheterization <abbrgrp><abbr bid="B49">49</abbr></abbrgrp> and causative organism <abbrgrp><abbr bid="B50">50</abbr></abbrgrp>, and there have been reports of toxicity associated with use of particular types of catheter <abbrgrp><abbr bid="B13">13</abbr></abbrgrp>. However, a lack of data about these concerns both generally, and in relation to each specific coating, meant we were unable to model their impact. If these aspects reduce the effectiveness of any of the catheter types then its cost effectiveness would also be reduced. Alternatively there may be specific subgroups of patients for whom the cost effectiveness of these catheters can be determined with greater certainty. We did not test assumptions about life expectancy and quality of life in ICU survivors, although these will not alter conclusions about which catheter is optimal as all types will be affected equally.</p>
         <p>This evaluation, like those reported in earlier studies, is based on a simplified version of a complex decision. It did not include intangible benefits to reduced infection rates, including the increases to clinical morale and public confidence in the healthcare system demonstrated by the national campaigns to reduce rates of CR-BSI <abbrgrp><abbr bid="B2">2</abbr></abbrgrp> and forming part of the rationale for the introduction of the Deficit Reduction Act <abbrgrp><abbr bid="B4">4</abbr></abbrgrp>. Decision makers often consider a wider range of outcomes when deciding on the adoption of a new technology <abbrgrp><abbr bid="B35">35</abbr><abbr bid="B42">42</abbr></abbrgrp> and clearly the economic value in reducing infection rates goes beyond the capacity released within hospitals. Valuing these intangible outcomes may improve the representation of the economics of preventing infection, but it would be difficult to achieve. It has been suggested that MR-coated catheters are difficult to insert <abbrgrp><abbr bid="B6">6</abbr></abbrgrp>, making them unpopular amongst clinicians, but data comparing failure rates for insertion are not available in order to incorporate this cost. Finally, recent research has shown that improving catheter care by intervention 'bundles' is a highly effective way to reduce rates of CR-BSI <abbrgrp><abbr bid="B51">51</abbr></abbrgrp>. In an evaluation comparing 'bundles' with antimicrobial catheters, it may be that the former would dominate. This is not evaluated here and deserves rigorous exploration rather than hypothesizing.</p>
      </sec>
      <sec>
         <st>
            <p>Conclusions</p>
         </st>
         <p>Antimicrobial catheters have been available as a means of preventing CR-BSI in the ICU for two decades. Although earlier studies have indicated these devices are cost saving, the findings of this evaluation represent a deeper analysis of the decision than previously available that will help decision makers in any setting considering adopting A-CVCs judge the cost effectiveness of these devices. We have shown that the cost effectiveness of these catheters is uncertain, and are not surprised that infection control decision makers are reticent about using antimicrobial catheters despite the economic evidence. Failure to consider uncertainty generates overly simplistic results and creates skepticism amongst decision makers using them to guide infection control policy. Value of information analyses may suggest where research to reduce this uncertainty should focus, but in the meantime, legislation based on the economics of infection control would do well to consider the complexity of producing good quality evidence in this area.</p>
      </sec>
      <sec>
         <st>
            <p>Key messages</p>
         </st>
         <p>&#8226; The cost effectiveness of antimicrobial catheters to prevent catheter-related bloodstream infection in the intensive care unit is highly uncertain.</p>
         <p>&#8226; Estimates of cost effectiveness which do not consider uncertainty indicate that minocycline and rifampicin catheters generate the greatest health benefits (1.6 quality-adjusted life years) and opportunity cost savings (AUD $130,289 per 1,000 catheters placed) relative to uncoated catheters.</p>
         <p>&#8226; When uncertainty in information currently available to inform this decision is considered, MR-coated catheters return the highest monetary net benefits relative to all other catheter types but there is a 62% probability that this is incorrect.</p>
         <p>&#8226; Value of information analyses may suggest where research to reduce uncertainty in this decision should focus to achieve maximum benefit, but in the meantime, decision makers would do well to consider the complexity of producing good quality evidence in this area.</p>
      </sec>
      <sec>
         <st>
            <p>Abbreviations</p>
         </st>
         <p>A-CVC: antimicrobial central venous catheter; CR-BSI: catheter-related bloodstream infection; CH/SSD (ext): chlorhexidine/silver sulfadiazine (external coating); CH/SSD (int/ext): chlorhexidine/silver sulfadiazine (internal/external coating); MR: minocycline and rifampicin; QALY: quality-adjusted life year; PSA: probabilistic sensitivity analysis; SPC: silver, platinum and carbon.</p>
      </sec>
      <sec>
         <st>
            <p>Competing interests</p>
         </st>
         <p>DP has received grant support from AstraZeneca and is a consultant to Three Rivers Pharmaceuticals, Merck, Pfizer, AstraZeneca, Johnson and Johnson, and Sanofi Aventis.</p>
      </sec>
      <sec>
         <st>
            <p>Authors' contributions</p>
         </st>
         <p>KH coordinated the overall design of the study, collected and analyzed the data and drafted the manuscript. DC aided in defining the clinical context, design of the decision model and collection of data. MW helped conceive of the study and obtain funding. DP aided in defining the clinical context and helped to draft the manuscript. NG conceived of the study and obtained funding, participated in its design and helped to draft the manuscript. All authors read and approved the final manuscript.</p>
      </sec>
   </bdy>
   <bm>
      <ack>
         <sec>
            <st>
               <p>Acknowledgements</p>
            </st>
            <p>The Queensland Health Quality and Safety Programme and a National Health and Medical Research Council project grant provided support for this study. Neither source influenced the study design, data collection, analysis, reporting, or decision to submit the manuscript for publication.</p>
         </sec>
      </ack>
      <refgrp>
         <bibl id="B1">
            <title>
               <p>Clinical and economic outcomes in critically ill patients with nosocomial catheter-related bloodstream infections</p>
            </title>
            <aug>
               <au>
                  <snm>Blot</snm>
                  <fnm>SI</fnm>
               </au>
               <au>
                  <snm>Depuydt</snm>
                  <fnm>P</fnm>
               </au>
               <au>
                  <snm>Annemans</snm>
                  <fnm>L</fnm>
               </au>
               <au>
                  <snm>Benoit</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Hoste</snm>
                  <fnm>E</fnm>
               </au>
               <au>
                  <snm>De Waele</snm>
                  <fnm>JJ</fnm>
               </au>
               <au>
                  <snm>Decruyenaere</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Vogelaers</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Colardyn</snm>
                  <fnm>F</fnm>
               </au>
               <au>
                  <snm>Vandewoude</snm>
                  <fnm>KH</fnm>
               </au>
            </aug>
            <source>Clin Infect Dis</source>
            <pubdate>2005</pubdate>
            <volume>41</volume>
            <fpage>1591</fpage>
            <lpage>1598</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1086/497833</pubid>
                  <pubid idtype="pmpid" link="fulltext">16267731</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B2">
            <title>
               <p>The 100,000 Lives Campaign: setting a goal and a deadline for improving health care quality</p>
            </title>
            <aug>
               <au>
                  <snm>Berwick</snm>
                  <fnm>DM</fnm>
               </au>
               <au>
                  <snm>Calkins</snm>
                  <fnm>DR</fnm>
               </au>
               <au>
                  <snm>McCannon</snm>
                  <fnm>CJ</fnm>
               </au>
               <au>
                  <snm>Hackbarth</snm>
                  <fnm>AD</fnm>
               </au>
            </aug>
            <source>JAMA</source>
            <pubdate>2006</pubdate>
            <volume>295</volume>
            <fpage>324</fpage>
            <lpage>327</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1001/jama.295.3.324</pubid>
                  <pubid idtype="pmpid" link="fulltext">16418469</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B3">
            <title>
               <p>Safer systems &#8211; Saving lives</p>
            </title>
            <url>http://www.health.vic.gov.au/sssl/</url>
         </bibl>
         <bibl id="B4">
            <title>
               <p>Medicare Program: Changes to the hospital inpatient prospective payment systems and fiscal year 2009 rates; payments for graduate medical education in certain emergency situations; changes to disclosure of physician ownership in hospitals and physician self-referral rules; updates to the long-term care prospective payment system; updates to certain IPPS-excluded hospitals; and collection of information regarding financial relationships between hospitals; final rule</p>
            </title>
            <aug>
               <au>
                  <cnm>Centers for Medicare &amp; Medicaid Services</cnm>
               </au>
            </aug>
            <source>Fed Regist</source>
            <pubdate>2008</pubdate>
            <volume>73</volume>
            <fpage>48434</fpage>
            <lpage>49083</lpage>
         </bibl>
         <bibl id="B5">
            <title>
               <p>Economics and preventing hospital-acquired infection &#8211; broadening the perspective</p>
            </title>
            <aug>
               <au>
                  <snm>Graves</snm>
                  <fnm>N</fnm>
               </au>
               <au>
                  <snm>Halton</snm>
                  <fnm>KA</fnm>
               </au>
               <au>
                  <snm>Lairson</snm>
                  <fnm>D</fnm>
               </au>
            </aug>
            <source>Infect Control Hosp Epidemiol</source>
            <pubdate>2007</pubdate>
            <volume>28</volume>
            <fpage>178</fpage>
            <lpage>184</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1086/510787</pubid>
                  <pubid idtype="pmpid" link="fulltext">17265399</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B6">
            <title>
               <p>Which antimicrobial impregnated central venous catheter should we use? Modeling the costs and outcomes of antimicrobial catheter use</p>
            </title>
            <aug>
               <au>
                  <snm>Marciante</snm>
                  <fnm>KD</fnm>
               </au>
               <au>
                  <snm>Veenstra</snm>
                  <fnm>DL</fnm>
               </au>
               <au>
                  <snm>Lipsky</snm>
                  <fnm>BA</fnm>
               </au>
               <au>
                  <snm>Saint</snm>
                  <fnm>S</fnm>
               </au>
            </aug>
            <source>Am J Infect Control</source>
            <pubdate>2003</pubdate>
            <volume>31</volume>
            <fpage>1</fpage>
            <lpage>8</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1067/mic.2003.35</pubid>
                  <pubid idtype="pmpid" link="fulltext">12548250</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B7">
            <title>
               <p>New choices for central venous catheters</p>
            </title>
            <aug>
               <au>
                  <snm>Shorr</snm>
                  <fnm>AF</fnm>
               </au>
               <au>
                  <snm>Humphreys</snm>
                  <fnm>CW</fnm>
               </au>
               <au>
                  <snm>Helman</snm>
                  <fnm>DL</fnm>
               </au>
            </aug>
            <source>Chest</source>
            <pubdate>2003</pubdate>
            <volume>124</volume>
            <fpage>275</fpage>
            <lpage>284</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1378/chest.124.1.275</pubid>
                  <pubid idtype="pmpid" link="fulltext">12853534</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B8">
            <title>
               <p>Economic evaluation and catheter-related bloodstream infections</p>
            </title>
            <aug>
               <au>
                  <snm>Halton</snm>
                  <fnm>KA</fnm>
               </au>
               <au>
                  <snm>Graves</snm>
                  <fnm>N</fnm>
               </au>
            </aug>
            <source>Emerg Infect Dis</source>
            <pubdate>2007</pubdate>
            <volume>13</volume>
            <fpage>815</fpage>
            <lpage>823</lpage>
            <xrefbib>
               <pubid idtype="pmpid">17553218</pubid>
            </xrefbib>
         </bibl>
         <bibl id="B9">
            <title>
               <p>Guidelines for the prevention of intravascular catheter-related infections</p>
            </title>
            <aug>
               <au>
                  <cnm>Centers for Disease Control and Prevention</cnm>
               </au>
            </aug>
            <source>Morb Mortal Wkly Rep</source>
            <pubdate>2002</pubdate>
            <volume>51</volume>
            <fpage>1</fpage>
            <lpage>29</lpage>
         </bibl>
         <bibl id="B10">
            <title>
               <p>Management of central venous catheters in adult intensive care units in Australia: policies and practices</p>
            </title>
            <aug>
               <au>
                  <snm>Bolz</snm>
                  <fnm>K</fnm>
               </au>
               <au>
                  <snm>Ramritu</snm>
                  <fnm>P</fnm>
               </au>
               <au>
                  <snm>Halton</snm>
                  <fnm>K</fnm>
               </au>
               <au>
                  <snm>Cook</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Graves</snm>
                  <fnm>N</fnm>
               </au>
            </aug>
            <source>Healthcare Infect</source>
            <pubdate>2008</pubdate>
            <volume>13</volume>
            <fpage>48</fpage>
            <lpage>55</lpage>
            <xrefbib>
               <pubid idtype="doi">10.1071/HI08016</pubid>
            </xrefbib>
         </bibl>
         <bibl id="B11">
            <title>
               <p>Use of central venous catheter-related bloodstream infection prevention practices by US hospitals</p>
            </title>
            <aug>
               <au>
                  <snm>Krein</snm>
                  <fnm>SL</fnm>
               </au>
               <au>
                  <snm>Hofer</snm>
                  <fnm>TP</fnm>
               </au>
               <au>
                  <snm>Kowalski</snm>
                  <fnm>CP</fnm>
               </au>
               <au>
                  <snm>Olmsted</snm>
                  <fnm>RN</fnm>
               </au>
               <au>
                  <snm>Kauffman</snm>
                  <fnm>CA</fnm>
               </au>
               <au>
                  <snm>Forman</snm>
                  <fnm>JH</fnm>
               </au>
               <au>
                  <snm>Banaszak-Holl</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Saint</snm>
                  <fnm>S</fnm>
               </au>
            </aug>
            <source>Mayo Clin Proc</source>
            <pubdate>2007</pubdate>
            <volume>82</volume>
            <fpage>672</fpage>
            <lpage>678</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.4065/82.6.672</pubid>
                  <pubid idtype="pmpid" link="fulltext">17550746</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B12">
            <title>
               <p>Introduction to Australian surveillance definitions: surgical site infections and bloodstream infections</p>
            </title>
            <aug>
               <au>
                  <snm>Aurich</snm>
                  <fnm>E</fnm>
               </au>
               <au>
                  <snm>Borgert</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Butler</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Cadwallader</snm>
                  <fnm>H</fnm>
               </au>
               <au>
                  <snm>Collignon</snm>
                  <fnm>PJ</fnm>
               </au>
               <au>
                  <snm>Eades</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Fergurson</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Kampen</snm>
                  <fnm>R</fnm>
               </au>
               <au>
                  <snm>Looke</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>MacBeth</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>McLaws</snm>
                  <fnm>ML</fnm>
               </au>
               <au>
                  <snm>Olesen</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Pawsey</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Richards</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Riley</snm>
                  <fnm>T</fnm>
               </au>
               <au>
                  <snm>Sykes</snm>
                  <fnm>P</fnm>
               </au>
               <au>
                  <snm>Whitby</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>West</snm>
                  <fnm>R</fnm>
               </au>
               <au>
                  <snm>Zerner</snm>
                  <fnm>L</fnm>
               </au>
            </aug>
            <source>Aust Infect Control</source>
            <pubdate>2000</pubdate>
            <volume>5</volume>
            <fpage>25</fpage>
            <lpage>31</lpage>
         </bibl>
         <bibl id="B13">
            <title>
               <p>Anaphylactic shock induced by an antiseptic-coated central venous [correction of nervous] catheter</p>
            </title>
            <aug>
               <au>
                  <snm>Oda</snm>
                  <fnm>T</fnm>
               </au>
               <au>
                  <snm>Hamasaki</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Kanda</snm>
                  <fnm>N</fnm>
               </au>
               <au>
                  <snm>Mikami</snm>
                  <fnm>K</fnm>
               </au>
            </aug>
            <source>Anesthesiology</source>
            <pubdate>1997</pubdate>
            <volume>87</volume>
            <fpage>1242</fpage>
            <lpage>1244</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1097/00000542-199711000-00031</pubid>
                  <pubid idtype="pmpid" link="fulltext">9366479</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B14">
            <title>
               <p>Costing in economic evaluations</p>
            </title>
            <aug>
               <au>
                  <snm>Brouwer</snm>
                  <fnm>W</fnm>
               </au>
               <au>
                  <snm>Rutten</snm>
                  <fnm>FFH</fnm>
               </au>
               <au>
                  <snm>Koopmanschap</snm>
                  <fnm>M</fnm>
               </au>
            </aug>
            <source>Economic evaluation in health care: merging theory with practice</source>
            <publisher>New York, NY, USA: Oxford University Press</publisher>
            <editor>Drummond M, McGuire A</editor>
            <pubdate>2001</pubdate>
            <fpage>68</fpage>
            <lpage>93</lpage>
         </bibl>
         <bibl id="B15">
            <title>
               <p>The death of cost-minimization analysis?</p>
            </title>
            <aug>
               <au>
                  <snm>Briggs</snm>
                  <fnm>AH</fnm>
               </au>
               <au>
                  <snm>O'Brien</snm>
                  <fnm>BJ</fnm>
               </au>
            </aug>
            <source>Health Econ</source>
            <pubdate>2001</pubdate>
            <volume>10</volume>
            <fpage>179</fpage>
            <lpage>184</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1002/hec.584</pubid>
                  <pubid idtype="pmpid">11252048</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B16">
            <title>
               <p>Minimum Standards for Intensive Care Units. Policy Document IC-1</p>
            </title>
            <aug>
               <au>
                  <cnm>Faculty of Intensive Care Australian and New Zealand College of Anaesthetists</cnm>
               </au>
            </aug>
            <publisher>Melbourne, Australia: Faculty of Intensive Care Australian and New Zealand College of Anaesthetists</publisher>
            <pubdate>1997</pubdate>
         </bibl>
         <bibl id="B17">
            <title>
               <p>Use of variables immediately prior to ICU admission to determine short-term outcomes and assess ICU performance after cardiac surgery</p>
            </title>
            <aug>
               <au>
                  <snm>Mullaney</snm>
                  <fnm>D</fnm>
               </au>
            </aug>
            <source>Presented at the Second International Conference on Quality Audit and Outcomes Research in Intensive Care; Christchurch, New Zealand</source>
            <pubdate>2008</pubdate>
         </bibl>
         <bibl id="B18">
            <title>
               <p>Intensive Care Resources &amp; Activity: Australia &amp; New Zealand 2003&#8211;2005</p>
            </title>
            <aug>
               <au>
                  <snm>Martin</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Anderson</snm>
                  <fnm>T</fnm>
               </au>
               <au>
                  <snm>Turton</snm>
                  <fnm>C</fnm>
               </au>
               <au>
                  <snm>Hart</snm>
                  <fnm>GK</fnm>
               </au>
               <au>
                  <snm>Hicks</snm>
                  <fnm>P</fnm>
               </au>
            </aug>
            <publisher>Melbourne, Australia: ANZICS</publisher>
            <pubdate>2006</pubdate>
         </bibl>
         <bibl id="B19">
            <title>
               <p>Nonuniform risk of bloodstream infection with increasing central venous catheter-days</p>
            </title>
            <aug>
               <au>
                  <snm>McLaws</snm>
                  <fnm>ML</fnm>
               </au>
               <au>
                  <snm>Berry</snm>
                  <fnm>G</fnm>
               </au>
            </aug>
            <source>Infect Control Hosp Epidemiol</source>
            <pubdate>2005</pubdate>
            <volume>26</volume>
            <fpage>715</fpage>
            <lpage>719</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1086/502608</pubid>
                  <pubid idtype="pmpid" link="fulltext">16156329</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B20">
            <title>
               <p>Surveillance of healthcare-acquired infections in Queensland, Australia: data and lessons from the first 5 years</p>
            </title>
            <aug>
               <au>
                  <snm>Morton</snm>
                  <fnm>AP</fnm>
               </au>
               <au>
                  <snm>Clements</snm>
                  <fnm>AC</fnm>
               </au>
               <au>
                  <snm>Doidge</snm>
                  <fnm>S</fnm>
               </au>
               <au>
                  <snm>Stackelroth</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Curtis</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Whitby</snm>
                  <fnm>M</fnm>
               </au>
            </aug>
            <source>Infect Control Hosp Epidemiol</source>
            <pubdate>2008</pubdate>
            <volume>29</volume>
            <fpage>695</fpage>
            <lpage>701</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1086/589904</pubid>
                  <pubid idtype="pmpid" link="fulltext">18690786</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B21">
            <title>
               <p>A systematic review comparing the relative effectiveness of antimicrobial-coated catheters in intensive care units</p>
            </title>
            <aug>
               <au>
                  <snm>Ramritu</snm>
                  <fnm>P</fnm>
               </au>
               <au>
                  <snm>Halton</snm>
                  <fnm>KA</fnm>
               </au>
               <au>
                  <snm>Collignon</snm>
                  <fnm>PJ</fnm>
               </au>
               <au>
                  <snm>Cook</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Fraenkel</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Battistutta</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Whitby</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Graves</snm>
                  <fnm>N</fnm>
               </au>
            </aug>
            <source>Am J Infect Control</source>
            <pubdate>2008</pubdate>
            <volume>36</volume>
            <fpage>104</fpage>
            <lpage>117</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1016/j.ajic.2007.02.012</pubid>
                  <pubid idtype="pmpid" link="fulltext">18313512</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B22">
            <title>
               <p>Attributable cost of catheter-associated bloodstream infections among intensive care patients in a nonteaching hospital</p>
            </title>
            <aug>
               <au>
                  <snm>Warren</snm>
                  <fnm>DK</fnm>
               </au>
               <au>
                  <snm>Quadir</snm>
                  <fnm>WW</fnm>
               </au>
               <au>
                  <snm>Hollenbeak</snm>
                  <fnm>CS</fnm>
               </au>
               <au>
                  <snm>Elward</snm>
                  <fnm>AM</fnm>
               </au>
               <au>
                  <snm>Cox</snm>
                  <fnm>MJ</fnm>
               </au>
               <au>
                  <snm>Fraser</snm>
                  <fnm>VJ</fnm>
               </au>
            </aug>
            <source>Crit Care Med</source>
            <pubdate>2006</pubdate>
            <volume>34</volume>
            <fpage>2084</fpage>
            <lpage>2089</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1097/01.CCM.0000227648.15804.2D</pubid>
                  <pubid idtype="pmpid" link="fulltext">16763511</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B23">
            <title>
               <p>A methodologically focused review of the literature in hospital epidemiology and infection control</p>
            </title>
            <aug>
               <au>
                  <snm>Samore</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Harbarth</snm>
                  <fnm>S</fnm>
               </au>
            </aug>
            <source>Hospital Epidemiology and Infection Control</source>
            <publisher>Philadelphia, PA, USA: Lippincott Williams &amp; Wilkins</publisher>
            <editor>Mayhall CG</editor>
            <edition>3</edition>
            <pubdate>2004</pubdate>
         </bibl>
         <bibl id="B24">
            <title>
               <p>Data linkage enables evaluation of long-term survival after intensive care</p>
            </title>
            <aug>
               <au>
                  <snm>Williams</snm>
                  <fnm>TA</fnm>
               </au>
               <au>
                  <snm>Dobb</snm>
                  <fnm>GJ</fnm>
               </au>
               <au>
                  <snm>Finn</snm>
                  <fnm>JC</fnm>
               </au>
               <au>
                  <snm>Knuiman</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Lee</snm>
                  <fnm>KY</fnm>
               </au>
               <au>
                  <snm>Geelhoed</snm>
                  <fnm>E</fnm>
               </au>
               <au>
                  <snm>Webb</snm>
                  <fnm>SA</fnm>
               </au>
            </aug>
            <source>Anaesth Intensive Care</source>
            <pubdate>2006</pubdate>
            <volume>34</volume>
            <fpage>307</fpage>
            <lpage>315</lpage>
            <xrefbib>
               <pubid idtype="pmpid">16802482</pubid>
            </xrefbib>
         </bibl>
         <bibl id="B25">
            <title>
               <p>Australia's Health 2006. AIHW cat. no. AUS 73</p>
            </title>
            <aug>
               <au>
                  <cnm>Australian Institute of Health and Welfare</cnm>
               </au>
            </aug>
            <publisher>Canberra, Australia: AIHW</publisher>
            <pubdate>2006</pubdate>
         </bibl>
         <bibl id="B26">
            <title>
               <p>Quality of life in adult survivors of critical illness: a systematic review of the literature</p>
            </title>
            <aug>
               <au>
                  <snm>Dowdy</snm>
                  <fnm>DW</fnm>
               </au>
               <au>
                  <snm>Eid</snm>
                  <fnm>MP</fnm>
               </au>
               <au>
                  <snm>Sedrakyan</snm>
                  <fnm>A</fnm>
               </au>
               <au>
                  <snm>Mendez-Tellez</snm>
                  <fnm>PA</fnm>
               </au>
               <au>
                  <snm>Pronovost</snm>
                  <fnm>PJ</fnm>
               </au>
               <au>
                  <snm>Herridge</snm>
                  <fnm>MS</fnm>
               </au>
               <au>
                  <snm>Needham</snm>
                  <fnm>DM</fnm>
               </au>
            </aug>
            <source>Intensive Care Med</source>
            <pubdate>2005</pubdate>
            <volume>31</volume>
            <fpage>611</fpage>
            <lpage>620</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1007/s00134-005-2592-6</pubid>
                  <pubid idtype="pmpid" link="fulltext">15803303</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B27">
            <title>
               <p>Population norms and meaningful differences for the Assessment of Quality of Life (AQoL) measure</p>
            </title>
            <aug>
               <au>
                  <snm>Hawthorne</snm>
                  <fnm>G</fnm>
               </au>
               <au>
                  <snm>Osborne</snm>
                  <fnm>R</fnm>
               </au>
            </aug>
            <source>Aust N Z J Public Health</source>
            <pubdate>2005</pubdate>
            <volume>29</volume>
            <fpage>136</fpage>
            <lpage>142</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1111/j.1467-842X.2005.tb00063.x</pubid>
                  <pubid idtype="pmpid" link="fulltext">15915617</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B28">
            <title>
               <p>Quality of life before and after intensive care</p>
            </title>
            <aug>
               <au>
                  <snm>Cuthbertson</snm>
                  <fnm>BH</fnm>
               </au>
               <au>
                  <snm>Scott</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Strachan</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Kilonzo</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Vale</snm>
                  <fnm>L</fnm>
               </au>
            </aug>
            <source>Anaesthesia</source>
            <pubdate>2005</pubdate>
            <volume>60</volume>
            <fpage>332</fpage>
            <lpage>339</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1111/j.1365-2044.2004.04109.x</pubid>
                  <pubid idtype="pmpid" link="fulltext">15766335</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B29">
            <title>
               <p>A comparison of the Assessment of Quality of Life (AQoL) with four other generic utility instruments</p>
            </title>
            <aug>
               <au>
                  <snm>Hawthorne</snm>
                  <fnm>G</fnm>
               </au>
               <au>
                  <snm>Richardson</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Day</snm>
                  <fnm>NA</fnm>
               </au>
            </aug>
            <source>Ann Med</source>
            <pubdate>2001</pubdate>
            <volume>33</volume>
            <fpage>358</fpage>
            <lpage>370</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.3109/07853890109002090</pubid>
                  <pubid idtype="pmpid">11491195</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B30">
            <title>
               <p>Bureau of Labor Statistics Consumer Price Index</p>
            </title>
            <url>http://www.bls.gov/cpi</url>
         </bibl>
         <bibl id="B31">
            <title>
               <p>The costs of caring for patients in a tertiary referral Australian intensive care unit</p>
            </title>
            <aug>
               <au>
                  <snm>Rechner</snm>
                  <fnm>IJ</fnm>
               </au>
               <au>
                  <snm>Lipman</snm>
                  <fnm>J</fnm>
               </au>
            </aug>
            <source>Anaesth Intensive Care</source>
            <pubdate>2005</pubdate>
            <volume>33</volume>
            <fpage>477</fpage>
            <lpage>482</lpage>
            <xrefbib>
               <pubid idtype="pmpid">16119489</pubid>
            </xrefbib>
         </bibl>
         <bibl id="B32">
            <title>
               <p>Modeling the economic losses from pressure ulcers among hospitalised patients in Australia</p>
            </title>
            <aug>
               <au>
                  <snm>Graves</snm>
                  <fnm>N</fnm>
               </au>
               <au>
                  <snm>Birrell</snm>
                  <fnm>FA</fnm>
               </au>
               <au>
                  <snm>Whitby</snm>
                  <fnm>M</fnm>
               </au>
            </aug>
            <source>Wound Repair Regen</source>
            <pubdate>2005</pubdate>
            <volume>13</volume>
            <fpage>462</fpage>
            <lpage>467</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1111/j.1067-1927.2005.00066.x</pubid>
                  <pubid idtype="pmpid" link="fulltext">16176454</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B33">
            <title>
               <p>Incidence rate and variable cost of nosocomial infections in different types of intensive care units</p>
            </title>
            <aug>
               <au>
                  <snm>Chen</snm>
                  <fnm>Y</fnm>
               </au>
               <au>
                  <snm>Wang</snm>
                  <fnm>F</fnm>
               </au>
               <au>
                  <snm>Liu</snm>
                  <fnm>C</fnm>
               </au>
               <au>
                  <snm>Chou</snm>
                  <fnm>P</fnm>
               </au>
            </aug>
            <source>Infect Control Hosp Epidemiol</source>
            <pubdate>2009</pubdate>
            <volume>30</volume>
            <fpage>39</fpage>
            <lpage>46</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1086/592984</pubid>
                  <pubid idtype="pmpid" link="fulltext">19046058</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B34">
            <title>
               <p>Cost savings attributable to reductions in intensive care unit length of stay for mechanically ventilated patients</p>
            </title>
            <aug>
               <au>
                  <snm>Kahn</snm>
                  <fnm>JM</fnm>
               </au>
               <au>
                  <snm>Rubenfeld</snm>
                  <fnm>GD</fnm>
               </au>
               <au>
                  <snm>Rohrbach</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Fuchs</snm>
                  <fnm>BD</fnm>
               </au>
            </aug>
            <source>Med Care</source>
            <pubdate>2008</pubdate>
            <volume>46</volume>
            <fpage>1226</fpage>
            <lpage>1233</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1097/MLR.0b013e31817d9342</pubid>
                  <pubid idtype="pmpid" link="fulltext">19300312</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B35">
            <title>
               <p>Cost-effectiveness analysis and the consistency of decision making: evidence from pharmaceutical reimbursement in Australia (1991 to 1996)</p>
            </title>
            <aug>
               <au>
                  <snm>George</snm>
                  <fnm>B</fnm>
               </au>
               <au>
                  <snm>Harris</snm>
                  <fnm>A</fnm>
               </au>
               <au>
                  <snm>Mitchell</snm>
                  <fnm>A</fnm>
               </au>
            </aug>
            <source>Pharmacoeconomics</source>
            <pubdate>2001</pubdate>
            <volume>19</volume>
            <fpage>1103</fpage>
            <lpage>1109</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.2165/00019053-200119110-00004</pubid>
                  <pubid idtype="pmpid">11735677</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B36">
            <title>
               <p>Handling uncertainty in cost-effectiveness models</p>
            </title>
            <aug>
               <au>
                  <snm>Briggs</snm>
                  <fnm>AH</fnm>
               </au>
            </aug>
            <source>Pharmacoeconomics</source>
            <pubdate>2000</pubdate>
            <volume>17</volume>
            <fpage>479</fpage>
            <lpage>500</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.2165/00019053-200017050-00006</pubid>
                  <pubid idtype="pmpid">10977389</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B37">
            <title>
               <p>Thinking outside the box: recent advances in the analysis and presentation of uncertainty in cost-effectiveness studies</p>
            </title>
            <aug>
               <au>
                  <snm>Briggs</snm>
                  <fnm>AH</fnm>
               </au>
               <au>
                  <snm>O'Brien</snm>
                  <fnm>BJ</fnm>
               </au>
               <au>
                  <snm>Blackhouse</snm>
                  <fnm>G</fnm>
               </au>
            </aug>
            <source>Annu Rev Public Health</source>
            <pubdate>2002</pubdate>
            <volume>23</volume>
            <fpage>377</fpage>
            <lpage>401</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1146/annurev.publhealth.23.100901.140534</pubid>
                  <pubid idtype="pmpid" link="fulltext">11910068</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B38">
            <title>
               <p>Use of evidence in decision models: an appraisal of health technology assessments in the UK since 1997</p>
            </title>
            <aug>
               <au>
                  <snm>Cooper</snm>
                  <fnm>NJ</fnm>
               </au>
               <au>
                  <snm>Coyle</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Abrams</snm>
                  <fnm>KR</fnm>
               </au>
               <au>
                  <snm>Mugford</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Sutton</snm>
                  <fnm>AJ</fnm>
               </au>
            </aug>
            <source>J Health Serv Res Policy</source>
            <pubdate>2005</pubdate>
            <volume>10</volume>
            <fpage>245</fpage>
            <lpage>250</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1258/135581905774414187</pubid>
                  <pubid idtype="pmpid" link="fulltext">16259692</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B39">
            <title>
               <p>Evidence-based economic evaluation: how the use of different data sources can impact results</p>
            </title>
            <aug>
               <au>
                  <snm>Coyle</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Lee</snm>
                  <fnm>KM</fnm>
               </au>
            </aug>
            <source>Evidence-based health economics: from effectiveness to efficiency in systematic review</source>
            <publisher>London, UK: BMJ Publishing Group</publisher>
            <editor>Donaldson C, Mugford M, Vale L</editor>
            <pubdate>2002</pubdate>
            <fpage>55</fpage>
            <lpage>66</lpage>
         </bibl>
         <bibl id="B40">
            <title>
               <p>Anti-infective-treated central venous catheters: a systematic review of randomized controlled trials</p>
            </title>
            <aug>
               <au>
                  <snm>Niel-Weise</snm>
                  <fnm>BS</fnm>
               </au>
               <au>
                  <snm>Stijnen</snm>
                  <fnm>T</fnm>
               </au>
               <au>
                  <snm>Broek</snm>
                  <mnm>van der</mnm>
                  <fnm>PJ</fnm>
               </au>
            </aug>
            <source>Intensive Care Med</source>
            <pubdate>2007</pubdate>
            <volume>33</volume>
            <fpage>2058</fpage>
            <lpage>2068</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1007/s00134-007-0897-3</pubid>
                  <pubid idtype="pmpid" link="fulltext">17940746</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B41">
            <title>
               <p>The irrelevance of inference: a decision making approach to the stochastic evaluation of health care technologies</p>
            </title>
            <aug>
               <au>
                  <snm>Claxton</snm>
                  <fnm>K</fnm>
               </au>
            </aug>
            <source>J Health Econ</source>
            <pubdate>1999</pubdate>
            <volume>18</volume>
            <fpage>341</fpage>
            <lpage>364</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1016/S0167-6296(98)00039-3</pubid>
                  <pubid idtype="pmpid" link="fulltext">10537899</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B42">
            <title>
               <p>Does NICE have a cost-effectiveness threshold and what other factors influence its decisions? A binary choice analysis</p>
            </title>
            <aug>
               <au>
                  <snm>Devlin</snm>
                  <fnm>N</fnm>
               </au>
               <au>
                  <snm>Parkin</snm>
                  <fnm>D</fnm>
               </au>
            </aug>
            <source>Health Econ</source>
            <pubdate>2004</pubdate>
            <volume>13</volume>
            <fpage>437</fpage>
            <lpage>452</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1002/hec.864</pubid>
                  <pubid idtype="pmpid" link="fulltext">15127424</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B43">
            <title>
               <p>Do antimicrobial-impregnated central venous catheters prevent catheter-related bloodstream infection?</p>
            </title>
            <aug>
               <au>
                  <snm>McConnell</snm>
                  <fnm>SA</fnm>
               </au>
               <au>
                  <snm>Gubbins</snm>
                  <fnm>PO</fnm>
               </au>
               <au>
                  <snm>Anaissie</snm>
                  <fnm>EJ</fnm>
               </au>
            </aug>
            <source>Clin Infect Dis</source>
            <pubdate>2003</pubdate>
            <volume>37</volume>
            <fpage>65</fpage>
            <lpage>72</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1086/375227</pubid>
                  <pubid idtype="pmpid" link="fulltext">12830410</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B44">
            <title>
               <p>Comparison of mortality associated with methicillin-resistant and methicillin-susceptible <it>Staphylococcus aureus </it>bacteremia: a meta-analysis</p>
            </title>
            <aug>
               <au>
                  <snm>Cosgrove</snm>
                  <fnm>SE</fnm>
               </au>
               <au>
                  <snm>Sakoulas</snm>
                  <fnm>G</fnm>
               </au>
               <au>
                  <snm>Perencevich</snm>
                  <fnm>EN</fnm>
               </au>
               <au>
                  <snm>Schwaber</snm>
                  <fnm>MJ</fnm>
               </au>
               <au>
                  <snm>Karchmer</snm>
                  <fnm>AW</fnm>
               </au>
               <au>
                  <snm>Carmeli</snm>
                  <fnm>Y</fnm>
               </au>
            </aug>
            <source>Clin Infect Dis</source>
            <pubdate>2003</pubdate>
            <volume>36</volume>
            <fpage>53</fpage>
            <lpage>59</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1086/345476</pubid>
                  <pubid idtype="pmpid" link="fulltext">12491202</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B45">
            <title>
               <p>Superbugs II: how should economic evaluation be conducted for interventions which aim to contain antimicrobial resistance?</p>
            </title>
            <aug>
               <au>
                  <snm>Coast</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Smith</snm>
                  <fnm>RD</fnm>
               </au>
               <au>
                  <snm>Karcher</snm>
                  <fnm>A</fnm>
               </au>
               <au>
                  <snm>Wilton</snm>
                  <fnm>P</fnm>
               </au>
               <au>
                  <snm>Millar</snm>
                  <fnm>MR</fnm>
               </au>
            </aug>
            <source>Health Econ</source>
            <pubdate>2002</pubdate>
            <volume>11</volume>
            <fpage>637</fpage>
            <lpage>647</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1002/hec.693</pubid>
                  <pubid idtype="pmpid" link="fulltext">12369064</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B46">
            <title>
               <p>Rifampicin-impregnated central venous catheters: a meta-analysis of randomized controlled trials</p>
            </title>
            <aug>
               <au>
                  <snm>Falagas</snm>
                  <fnm>ME</fnm>
               </au>
               <au>
                  <snm>Fragoulis</snm>
                  <fnm>K</fnm>
               </au>
               <au>
                  <snm>Bliziotis</snm>
                  <fnm>IA</fnm>
               </au>
               <au>
                  <snm>Chatzinikolaou</snm>
                  <fnm>I</fnm>
               </au>
            </aug>
            <source>J Antimicrob Chemother</source>
            <pubdate>2007</pubdate>
            <volume>59</volume>
            <fpage>359</fpage>
            <lpage>369</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1093/jac/dkl522</pubid>
                  <pubid idtype="pmpid" link="fulltext">17255143</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B47">
            <title>
               <p>Superbugs: should antimicrobial resistance be included as a cost in economic evaluation?</p>
            </title>
            <aug>
               <au>
                  <snm>Coast</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Smith</snm>
                  <fnm>RD</fnm>
               </au>
               <au>
                  <snm>Millar</snm>
                  <fnm>MR</fnm>
               </au>
            </aug>
            <source>Health Econ</source>
            <pubdate>1996</pubdate>
            <volume>5</volume>
            <fpage>217</fpage>
            <lpage>226</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1002/(SICI)1099-1050(199605)5:3&lt;217::AID-HEC200>3.0.CO;2-S</pubid>
                  <pubid idtype="pmpid">8817296</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B48">
            <title>
               <p>A rational framework for decision making by the National Institute for Clinical Excellence</p>
            </title>
            <aug>
               <au>
                  <snm>Claxton</snm>
                  <fnm>K</fnm>
               </au>
               <au>
                  <snm>Sculpher</snm>
                  <fnm>M</fnm>
               </au>
               <au>
                  <snm>Drummond</snm>
                  <fnm>M</fnm>
               </au>
            </aug>
            <source>Lancet</source>
            <pubdate>2002</pubdate>
            <volume>360</volume>
            <fpage>711</fpage>
            <lpage>715</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1016/S0140-6736(02)09832-X</pubid>
                  <pubid idtype="pmpid" link="fulltext">12241891</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B49">
            <title>
               <p>The relationship between methodological trial quality and the effects of impregnated central venous catheters</p>
            </title>
            <aug>
               <au>
                  <snm>Geffers</snm>
                  <fnm>C</fnm>
               </au>
               <au>
                  <snm>Zuschneid</snm>
                  <fnm>I</fnm>
               </au>
               <au>
                  <snm>Eckmanns</snm>
                  <fnm>T</fnm>
               </au>
               <au>
                  <snm>R&#252;den</snm>
                  <fnm>H</fnm>
               </au>
               <au>
                  <snm>Gastmeier</snm>
                  <fnm>P</fnm>
               </au>
            </aug>
            <source>Intensive Care Med</source>
            <pubdate>2003</pubdate>
            <volume>29</volume>
            <fpage>403</fpage>
            <lpage>409</lpage>
            <xrefbib>
               <pubid idtype="pmpid" link="fulltext">12577150</pubid>
            </xrefbib>
         </bibl>
         <bibl id="B50">
            <title>
               <p>Benefits of minocycline and rifampin-impregnated central venous catheters</p>
            </title>
            <aug>
               <au>
                  <snm>Leon</snm>
                  <fnm>C</fnm>
               </au>
               <au>
                  <snm>Ruiz-Santana</snm>
                  <fnm>S</fnm>
               </au>
               <au>
                  <snm>Rello</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>de la Torre</snm>
                  <fnm>MV</fnm>
               </au>
               <au>
                  <snm>Valles</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Alvarez-Lerma</snm>
                  <fnm>F</fnm>
               </au>
               <au>
                  <snm>Sierra</snm>
                  <fnm>R</fnm>
               </au>
               <au>
                  <snm>Saavedra</snm>
                  <fnm>P</fnm>
               </au>
               <au>
                  <snm>Alvarez-Salgado</snm>
                  <fnm>F</fnm>
               </au>
            </aug>
            <source>Intensive Care Med</source>
            <pubdate>2004</pubdate>
            <volume>30</volume>
            <fpage>1891</fpage>
            <lpage>1899</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1007/s00134-004-2378-2</pubid>
                  <pubid idtype="pmpid" link="fulltext">15278273</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
         <bibl id="B51">
            <title>
               <p>An intervention to decrease catheter-related bloodstream infections in the ICU</p>
            </title>
            <aug>
               <au>
                  <snm>Pronovost</snm>
                  <fnm>PJ</fnm>
               </au>
               <au>
                  <snm>Needham</snm>
                  <fnm>DM</fnm>
               </au>
               <au>
                  <snm>Berenholtz</snm>
                  <fnm>S</fnm>
               </au>
               <au>
                  <snm>Sinopoli</snm>
                  <fnm>D</fnm>
               </au>
               <au>
                  <snm>Chu</snm>
                  <fnm>H</fnm>
               </au>
               <au>
                  <snm>Cosgrove</snm>
                  <fnm>SE</fnm>
               </au>
               <au>
                  <snm>Sexton</snm>
                  <fnm>B</fnm>
               </au>
               <au>
                  <snm>Hyzy</snm>
                  <fnm>R</fnm>
               </au>
               <au>
                  <snm>Welsh</snm>
                  <fnm>R</fnm>
               </au>
               <au>
                  <snm>Roth</snm>
                  <fnm>G</fnm>
               </au>
               <au>
                  <snm>Bander</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Kepros</snm>
                  <fnm>J</fnm>
               </au>
               <au>
                  <snm>Goeschel</snm>
                  <fnm>C</fnm>
               </au>
            </aug>
            <source>N Engl J Med</source>
            <pubdate>2006</pubdate>
            <volume>355</volume>
            <fpage>2725</fpage>
            <lpage>2732</lpage>
            <xrefbib>
               <pubidlist>
                  <pubid idtype="doi">10.1056/NEJMoa061115</pubid>
                  <pubid idtype="pmpid" link="fulltext">17192537</pubid>
               </pubidlist>
            </xrefbib>
         </bibl>
      </refgrp>
   </bm>
</art>
