ArticleJournal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing2022
Which factors influence the prevalence of institution-acquired falls? Results from an international, multi-center, cross-sectional survey.
Article in Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Development and Validation of a Dynamic Online Nomogram for Predicting Inpatient Fall Risk: A Cohort Study.Journal of multidisciplinary healthcare · 2025Article
- Relationship Between Depression and Falls Among Nursing Home Residents: Integrative Review.Interactive journal of medical research · 2024Review
- Article
- Comparing risk-adjusted inpatient fall rates internationally: validation of a risk-adjustment model using multicentre cross-sectional data from hospitals in Switzerland and Austria.BMC health services research · 2024Article
- Which factors influence the prevalence of institution-acquired falls? Results from an international, multi-center, cross-sectional survey.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2022Article
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11 authors.
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Abstract
purposeFalls are a highly prevalent problem in hospitals and nursing homes with serious negative consequences such as injuries, increased care dependency, or even death. The aim of this study was to provide a comprehensive insight into institution-acquired fall (IAF) prevalence and risk factors for IAF in a large sample of hospital patients and nursing home residents among five different countries.
designThis study reports the outcome of a secondary data analysis of cross-sectional data collected in Austria, Switzerland, the Netherlands, Turkey, and the United Kingdom in 2017 and 2018. These data include 58,319 datapoints from hospital patients and nursing home residents.
methodsDescriptive statistics, statistical tests, logistic regression, and generalized estimating equation (GEE) models were used to analyze the data.
findingsIAF prevalence in hospitals and nursing homes differed significantly between the countries. Turkey (7.7%) had the highest IAF prevalence rate for hospitals, and Switzerland (15.8%) had the highest IAF prevalence rate for nursing homes. In hospitals, our model revealed that IAF prevalence was associated with country, age, care dependency, number of medical diagnoses, surgery in the last two weeks, and fall history factors. In nursing homes, care dependency, diseases of the nervous system, and fall history were identified as significant risk factors for IAF prevalence.
conclusionsThis large-scale study reveals that the most important IAF risk factor is an existing history of falls, independent of the setting. Whether a previous fall has occurred within the last 12 months is a simple question that should be included on every (nursing) assessment at the time of patient or resident admission. Our results guide the development of tailored prevention programs for persons at risk of falling in hospitals and nursing homes.
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