This study describes the development and validation of the Consumer Quality Index Relatives in ICUs (CQI 'R-ICU'), which aims to measure the satisfaction of relatives and to identify aspect of care that need improvement in the ICU in a reliable and valid way. According to the quality standards of the Dutch Society of Intensive Care, every ICU needs to record the satisfaction of relatives . At this moment there is insufficient insight into the quality of care offered to relatives on the ICU because an evidence-based Dutch measurement instrument is missing.
The CQI 'R-ICU' has been developed based on a scientific and standardised method . A mixed design method is used, consisting of qualitative and quantitative survey studies. Factor analyses are carried out to determine the underlying structure of the newly developed questionnaire. Multiple regression analysis is used to explore the relationship between demographic variables and the perceived quality of care.
In six hospitals the CQI 'R-ICU' is sent to relatives after receiving informed consent (n = 441), 55.1% of the respondents are the patient's partner. Respondents seem to be most satisfied with the presence of a professional at first entrance to the ICU. The highest need for improvement scores relate to information about meals, parking and other disciplines (for example, social worker, spiritual worker or psychologist). Factor analysis shows that quality of care is determined by four clusters of items: Support, Communication, General Information and Organisation. The reliability of the CQI 'R-ICU' is sufficiently high, only Communication and Support are significant predictors of total quality judgement of relatives (adj. R2 = 0.74). In addition, there is a significant difference in mean total quality judgement between the six hospitals as well as between the four wards within Erasmus MC. None of the demographic variables such as sex, age, education, race and length of stay had an effect on perceived quality of care.
The CQI 'R-ICU' turned out to be a valid, reliable, sensitive and feasible instrument. Large-scale implementation is recommended.
Thanks to researchers of Ziekenhuis Gelderse Vallei, Kennemer Gasthuis, Catharinaziekenhuis, Ziekenhuis Rivierenland and Scheperziekenhuis.