Bernet, Niklaus Stefan; Everink, Irma HJ; Schols, Jos MGA; Halfens, Ruud JG; Richter, Dirk; Hahn, Sabine (2022). Hospital performance comparison of inpatient fall rates; the impact of risk adjusting for patient-related factors: a multicentre cross-sectional survey BMC Health Services Research, 22(1), pp. 1-14. BioMed Central 10.1186/s12913-022-07638-7
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Background: 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. Research on risk-adjusted fall rates and their impact on hospital comparisons is currently sparse. Therefore, the aims of this study were to develop an inpatient fall risk adjustment model based on patient-related fall risk factors, and to analyse the impact of applying this model on comparisons of inpatient fall rates in acute care hospitals in Switzerland. Methods: Data on inpatient falls in Swiss acute care hospitals were collected on one day in 2017, 2018 and 2019, as part of an annual multicentre cross-sectional survey. After excluding maternity and outpatient wards, all inpatients older than 18 years were included. Two-level logistic regression models were used to construct unadjusted and riskadjusted caterpillar plots to compare inter-hospital variability in inpatient fall rates. Results: One hundred thirty eight hospitals and 35,998 patients were included in the analysis. Risk adjustment showed that the following factors were associated with a higher risk of falling: increasing care dependency (to a great extent care dependent, odds ratio 3.43, 95% confidence interval 2.78–4.23), a fall in the last 12 months (OR 2.14, CI 1.89–2.42), the intake of sedative and or psychotropic medications (OR 1.74, CI 1.54–1.98), mental and behavioural disorders (OR 1.55, CI 1.36–1.77) and higher age (OR 1.01, CI 1.01–1.02). With odds ratios between 1.26 and 0.67, eight further ICD-10 diagnosis groups were included. Female sex (OR 0.78, CI 0.70–0.88) and postoperative patients (OR 0.83, CI 0.73–0.95) were associated with a lower risk of falling. Unadjusted caterpillar plots identified 20 low- and 3 high performing hospitals. After risk adjustment, 2 low-performing hospitals remained. Conclusions: Risk adjustment of inpatient fall rates could reduce misclassification of hospital performance and enables a fairer basis for decision-making and quality improvement measures. Patient-related fall risk factors such as care dependency, history of falls and cognitive impairment should be routinely assessed.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
School of Health Professions School of Health Professions > Nursing School of Health Professions > Nursing > Innovation in the Field of Quality in the Health Sector |
Name: |
Bernet, Niklaus Stefan 0000-0001-6478-1326; Everink, Irma HJ; Schols, Jos MGA; Halfens, Ruud JG; Richter, Dirk 0000-0002-6215-6110 and Hahn, Sabine 0000-0002-2697-2014 |
ISSN: |
1472-6963 |
Publisher: |
BioMed Central |
Language: |
English |
Submitter: |
Niklaus Stefan Bernet |
Date Deposited: |
11 Nov 2022 08:39 |
Last Modified: |
10 May 2023 10:34 |
Publisher DOI: |
10.1186/s12913-022-07638-7 |
ARBOR DOI: |
10.24451/arbor.17920 |
URI: |
https://arbor.bfh.ch/id/eprint/17920 |
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