Objective: This study sought to determine the risk-adjusted (controlled for patient characteristics) trend in pressure injury (PI) incidence in Switzerland.
Method: A secondary data analysis was conducted. The data originated from the national PI quality measurement based on a multicentre cross-sectional design with repeated annual measurements.
Objectives: This study aimed to investigate whether a significant trend regarding inpatient falls in Swiss acute care hospitals between 2011 and 2019 could be confirmed on a national level, and whether the trend persists after risk adjustment for patient-related fall risk factors.
Design: A secondary data analysis was conducted based on annual multicentre cross-sectional studies carried out between 2011 and 2019.
Setting: All Swiss acute care hospitals were obliged to participate in the surveys.
Background: Inpatient falls in hospitals are an acknowledged indicator of quality of care. International comparisons could highlight quality improvement potential and enable cross-national learning. Key to fair cross-national comparison is the availability of a risk adjustment model validated in an international context.
View Article and Find Full Text PDFStud Health Technol Inform
May 2022
National quality measurements with risk-adjusted provider comparison in health care nowadays usually require administrative or clinically measured data. However, both data sources have their limitations. Due to the digitalisation of institutions and the resulting switch to electronic medical records, the question arises as to whether these data can be made usable for risk-adjusted quality comparisons from both a content and a technical point of view.
View Article and Find Full Text PDFBackground: Comparing inpatient fall rates can serve as a benchmark for quality improvement. To improve the comparability of performance between hospitals, adjustments for patient-related fall risk factors that are not modifiable by care are recommended. Thereafter, the remaining variability in risk-adjusted fall rates can be attributed to differences in quality of care provided by a hospital.
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