Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada.
Department of Economics, University of Manitoba, Winnipeg, Canada.
Health Econ. 2021 May;30(5):1124-1138. doi: 10.1002/hec.4249. Epub 2021 Mar 10.
Improvements in quality of care through supporting decision-making processes and increased efficiency have prompted widespread implementation of electronic medical records (EMRs) in Canada. Using a set of indicators of preventive care, chronic disease management, and hospitalizations due to ambulatory care sensitive conditions (ACSC), this study measures the effect of EMR adoption on quality of primary care measures. Population-based data for the Canadian province of Manitoba are used in a difference-in-differences approach with patient- and time-fixed effects. Evidence of changes in the selected quality-of-care indicators is weak, with preventive care, management of asthma, and hospitalizations showing no significant change due to EMR adoption. A statistically significant increase in the quality of diabetes care was found for EMR users, changes being larger for late EMR adopters which is possibly explained by a network effect. This research demonstrates that measuring whether EMRs prompt changes in the quality of care confronts serious challenges. The rapid evolution and gradual adoption of EMR technology, the inevitable learning/acceptance process by individual health practitioners, and its potential reflection on different patient populations create unmeasurable variables that confound EMRs' impact. This study also underscores the importance of data development to support the economic value of EMRs.
通过支持决策过程和提高效率来改善医疗服务质量,促使电子病历(EMR)在加拿大得到广泛应用。本研究使用一组预防保健、慢性病管理和因门诊保健敏感条件(ACSC)导致的住院治疗指标,衡量 EMR 采用对初级保健措施质量的影响。采用患者和时间固定效应的差分法,利用加拿大马尼托巴省的基于人群的数据。选择的医疗质量指标变化的证据较弱,预防保健、哮喘管理和因 EMR 采用而导致的住院治疗没有显著变化。对于 EMR 用户,糖尿病护理质量有统计学意义的提高,对于晚期 EMR 采用者的变化更大,这可能是由于网络效应解释。本研究表明,衡量 EMR 是否会促使医疗服务质量发生变化面临着严峻的挑战。EMR 技术的快速发展和逐步采用,个体医疗从业者不可避免的学习/接受过程,以及其对不同患者群体的潜在影响,都造成了无法衡量的变量,使 EMR 的影响变得复杂。本研究还强调了数据开发对于支持 EMR 的经济价值的重要性。