Department of Health Care Management, Technische Universität Berlin, Berlin, Germany.
Department of Global Health Economics, Kiel Institute for the World Economy, Kiel, Germany.
Nurs Open. 2022 Mar;9(2):1477-1485. doi: 10.1002/nop2.1146. Epub 2021 Dec 2.
To estimate the cost-effectiveness of an intervention facilitating the early detection of adverse drug events through the means of health professional training and the application of a digital screening tool.
Multi-centred non-randomized controlled trial from August 2018 to March 2020 including 65 nursing homes or home care providers.
We aim to estimate the effect of the intervention on the rate of adverse drug events as primary outcome through a quasi-experimental empirical study design. As secondary outcomes, we use hospital admissions and falls. All outcomes will be measured on patient-month level. Once the causal effect of the intervention is estimated, cost-effectiveness will be calculated. For cost-effectiveness, we include all patient costs observed by the German statutory health insurance.
The results of this study will inform about the cost-effectiveness of the optimized drug supply intervention and provide evidence for potential reimbursement within the German statutory health insurance system.
通过对卫生专业人员进行培训和应用数字筛查工具，评估干预措施在早期发现药物不良事件方面的成本效益。
2018 年 8 月至 2020 年 3 月进行的多中心非随机对照试验，纳入 65 家养老院或家庭护理提供者。
我们旨在通过准实验实证研究设计来估计干预措施对药物不良事件发生率的影响作为主要结果。次要结果是住院和跌倒。所有结果都将在患者月水平上进行测量。一旦干预措施的因果效应得到估计，就将计算成本效益。对于成本效益，我们包括德国法定健康保险所观察到的所有患者费用。
本研究的结果将为优化药物供应干预措施的成本效益提供信息，并为德国法定健康保险系统内的潜在报销提供证据。
