School of Health Professions, Applied Research & Development in Nursing, Bern University of Applied Sciences, Murtenstrasse 10, Bern, 3008, Switzerland.
Department of Health Services Research, Care and Public Health Research Institute, Maastricht University, PO BOX 616, Maastricht, 6200 MD, the Netherlands.
BMC Health Serv Res. 2024 Mar 13;24(1):331. doi: 10.1186/s12913-024-10839-x.
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. This study aimed to 1) ascertain that the variables of the inpatient fall risk adjustment model do not interact with country and thus can be used for risk adjustment, 2) compare the risk of falling in hospitals between Switzerland and Austria after risk adjustment.
The data on inpatient falls from Swiss and Austrian acute care hospitals were collected on a single measurement day in 2017, 2018 and 2019 as part of an international multicentre cross-sectional study. Multilevel logistic regression models were used to screen for interaction effects between the patient-related fall risk factors and the countries. The risks of falling in hospital in Switzerland and in Austria were compared after applying the risk-adjustment model.
Data from 176 hospitals and 43,984 patients revealed an inpatient fall rate of 3.4% in Switzerland and 3.9% in Austria. Two of 15 patient-related fall risk variables showed an interaction effect with country: Patients who had fallen in the last 12 months (OR 1.49, 95% CI 1.10-2.01, p = 0.009) or had taken sedatives/psychotropic medication (OR 1.40, 95% CI 1.05-1.87, p = 0.022) had higher odds of falling in Austrian hospitals. Significantly higher odds of falling were observed in Austrian (OR 1.38, 95% CI 1.13-1.68, p = 0.002) compared to Swiss hospitals after applying the risk-adjustment model.
Almost all patient-related fall risk factors in the model are suitable for a risk-adjusted cross-country comparison, as they do not interact with the countries. Further model validation with additional countries is warranted, particularly to assess the interaction of risk factors "fall in the last 12 months" and "sedatives/psychotropic medication intake" with country variable. The study underscores the crucial role of an appropriate risk-adjustment model in ensuring fair international comparisons of inpatient falls, as the risk-adjusted, as opposed to the non-risk-adjusted country comparison, indicated significantly higher odds of falling in Austrian compared to Swiss hospitals.
医院住院患者跌倒被公认为是护理质量的一个指标。国际比较可以突出质量改进的潜力,并实现跨国学习。公平跨国比较的关键是要有一个在国际背景下验证的风险调整模型。本研究旨在:1)确定住院患者跌倒风险调整模型中的变量与国家没有相互作用,因此可以用于风险调整;2)比较调整风险后瑞士和奥地利医院的跌倒风险。
2017 年、2018 年和 2019 年,作为一项国际多中心横断面研究的一部分,在瑞士和奥地利的急性护理医院收集了单一测量日的住院患者跌倒数据。使用多水平逻辑回归模型筛选患者相关跌倒风险因素与国家之间的交互作用。在应用风险调整模型后,比较瑞士和奥地利医院的住院患者跌倒风险。
来自 176 家医院和 43984 名患者的数据显示,瑞士的住院患者跌倒率为 3.4%,奥地利为 3.9%。15 个患者相关跌倒风险变量中有 2 个与国家存在交互作用:在过去 12 个月内跌倒过的患者(比值比 1.49,95%置信区间 1.10-2.01,p=0.009)或服用镇静剂/精神药物的患者(比值比 1.40,95%置信区间 1.05-1.87,p=0.022)在奥地利医院跌倒的可能性更高。应用风险调整模型后,与瑞士医院相比,奥地利医院的跌倒风险显著更高(比值比 1.38,95%置信区间 1.13-1.68,p=0.002)。
模型中几乎所有与患者相关的跌倒风险因素都适合进行风险调整后的跨国比较,因为它们与国家没有相互作用。需要进一步用其他国家的数据进行模型验证,特别是要评估风险因素“过去 12 个月内跌倒”和“镇静剂/精神药物摄入”与国家变量之间的相互作用。本研究强调了适当的风险调整模型在确保国际间住院患者跌倒公平比较中的关键作用,因为与非风险调整的国家比较相比,风险调整后的国家比较表明,奥地利医院的跌倒风险明显高于瑞士医院。