Maarten W Krol1, Dolf De Boer2, Herman Sixma2, Lucas Van Der Hoek2, Jany J D J M Rademakers2, Diana M Delnoij3. 1. Netherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands m.krol@nivel.nl. 2. Netherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands. 3. Institute for Quality in Health Care, Diemen, The Netherlands TRANZO, Tilburg University, Tilburg, The Netherlands.
Abstract
OBJECTIVE: To examine the added value of measuring and possibly presenting patient experiences at the department level, in addition to the hospital level, and to explore the possibility that patient experiences differ according to the 'type' of hospital department. DESIGN: Secondary analysis of data from a widely used survey on patient experiences of Dutch inpatient hospital care [Consumer Quality Index (CQI) Inpatient Hospital Care]. SETTING: Inpatient hospital care experience survey of patients of 78 Dutch hospitals. PARTICIPANTS: A total of 15 171 randomly selected inpatients from 78 Dutch hospitals, who had at least one night of hospitalization between October 2006 and October 2007. MAIN OUTCOME MEASURES: Explained variance in patient experiences at the department level, compared with the explained variance at the hospital level. Significant differences in patient experiences between types of departments, expressed in regression coefficients. Patient experiences were measured using validated quality indicators, calculated from specific survey items. RESULTS: Adding the department level to the analyses of patient experiences is statistically worthwhile for a number of quality indicators of the CQI Inpatient Hospital Care, and will enable the presentation of more detailed results within hospitals. Furthermore, the results indicated that there are some systematic differences in patient experiences between specific types of hospital departments across hospitals. However, the proportion of variance in experiences explained by both department and hospital is limited (max. 14%). CONCLUSIONS: Analyses of quality information on patient experiences of inpatient hospital care should not only take the hospital level, but also at the more specific department level into account.
OBJECTIVE: To examine the added value of measuring and possibly presenting patient experiences at the department level, in addition to the hospital level, and to explore the possibility that patient experiences differ according to the 'type' of hospital department. DESIGN: Secondary analysis of data from a widely used survey on patient experiences of Dutch inpatient hospital care [Consumer Quality Index (CQI) Inpatient Hospital Care]. SETTING: Inpatient hospital care experience survey of patients of 78 Dutch hospitals. PARTICIPANTS: A total of 15 171 randomly selected inpatients from 78 Dutch hospitals, who had at least one night of hospitalization between October 2006 and October 2007. MAIN OUTCOME MEASURES: Explained variance in patient experiences at the department level, compared with the explained variance at the hospital level. Significant differences in patient experiences between types of departments, expressed in regression coefficients. Patient experiences were measured using validated quality indicators, calculated from specific survey items. RESULTS: Adding the department level to the analyses of patient experiences is statistically worthwhile for a number of quality indicators of the CQI Inpatient Hospital Care, and will enable the presentation of more detailed results within hospitals. Furthermore, the results indicated that there are some systematic differences in patient experiences between specific types of hospital departments across hospitals. However, the proportion of variance in experiences explained by both department and hospital is limited (max. 14%). CONCLUSIONS: Analyses of quality information on patient experiences of inpatient hospital care should not only take the hospital level, but also at the more specific department level into account.
Authors: Alina Smirnova; Kiki M J M H Lombarts; Onyebuchi A Arah; Cees P M van der Vleuten Journal: Health Expect Date: 2017-02-20 Impact factor: 3.377
Authors: Aniek A O M Claassen; Henk J Schers; Vincent J J F Busch; Petra J C Heesterbeek; Frank H J van den Hoogen; Thea P M Vliet Vlieland; Cornelia H M van den Ende Journal: BMC Med Inform Decis Mak Date: 2020-05-15 Impact factor: 2.796