Karnon Jonathan, McIntosh Aileen, Dean Joanne, Bath Peter, Hutchinson Allen, Oakley Jeremy, Thomas Nicky, Pratt Peter, Freeman-Parry Louise, Karsh Ben-Tzion, Gandhi Tejal, Tappenden Paul
Department of Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, UK.
J Health Serv Res Policy. 2008 Apr;13(2):85-91. doi: 10.1258/jhsrp.2007.007011.
The aim of this study is to estimate the potential costs and benefits of three key interventions (computerized physician order entry [CPOE], additional ward pharmacists and bar coding) to help prioritize research to reduce medication errors.
A generic model structure was developed to describe the incidence and impacts of medication errors in hospitals. The model follows pathways from medication error points at alternative stages of the medication pathway through to the outcomes of undetected errors. The model was populated from a systematic review of the medication errors literature combined with novel probabilistic calibration methods. Cost ranges were applied to the interventions, the treatment of preventable adverse drug events (pADEs), and the value of the health lost as a result of an ADE.
The model predicts annual health service costs of between pound 0.3 million and pound 1 million for the treatment of pADEs in a 400-bed acute hospital in the UK. Including only health service costs, it is uncertain whether any of the three interventions will produce positive net benefits, particularly if high intervention costs are assumed. When the monetary value of lost health is included, all three interventions have a high probability of producing positive net benefits with a mean estimate of around pound 31.5 million for CPOE over a five-year time horizon.
The results identify the potential cost-effectiveness of interventions aimed at medication errors, as well as identifying key drivers of cost-effectiveness that should be specifically addressed in the design of primary evaluations of medication error interventions.
本研究旨在评估三种关键干预措施(计算机化医师医嘱录入[CPOE]、增加病房药剂师和条形码)的潜在成本和效益,以帮助确定优先研究方向,减少用药错误。
开发了一个通用模型结构来描述医院用药错误的发生率和影响。该模型遵循从用药流程不同阶段的用药错误点到未被发现错误的结果的路径。该模型的数据来自对用药错误文献的系统综述以及新的概率校准方法。成本范围应用于干预措施、可预防的药物不良事件(pADEs)的治疗以及因药物不良事件导致的健康损失价值。
该模型预测,在英国一家拥有400张床位的急症医院,治疗pADEs的年度医疗服务成本在30万英镑至100万英镑之间。仅考虑医疗服务成本,这三种干预措施是否会产生正的净效益尚不确定,尤其是在假设干预成本较高的情况下。当纳入健康损失的货币价值时,所有三种干预措施都极有可能产生正的净效益,在五年时间范围内,CPOE的平均估计净效益约为3150万英镑。
研究结果确定了针对用药错误的干预措施的潜在成本效益,同时也确定了成本效益的关键驱动因素,这些因素应在用药错误干预措施的初步评估设计中得到具体解决。