Design and Implementation of an Opioid Scorecard for Hospital System-Wide Peer Comparison of Opioid Prescribing Habits: Observational Study.

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2024-09-09 DOI:10.2196/44662
Benjamin Heritier Slovis, Soonyip Huang, Melanie McArthur, Cara Martino, Tasia Beers, Meghan Labella, Jeffrey M Riggio, Edmund deAzevedo Pribitkin
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引用次数: 0

Abstract

Background: Reductions in opioid prescribing by health care providers can lead to a decreased risk of opioid dependence in patients. Peer comparison has been demonstrated to impact providers' prescribing habits, though its effect on opioid prescribing has predominantly been studied in the emergency department setting.

Objective: The purpose of this study is to describe the development of an enterprise-wide opioid scorecard, the architecture of its implementation, and plans for future research on its effects.

Methods: Using data generated by the author's enterprise vendor-based electronic health record, the enterprise analytics software, and expertise from a dedicated group of informaticists, physicians, and analysts, the authors developed an opioid scorecard that was released on a quarterly basis via email to all opioid prescribers at our institution. These scorecards compare providers' opioid prescribing habits on the basis of established metrics to those of their peers within their specialty throughout the enterprise.

Results: At the time of this study's completion, 2034 providers have received at least 1 scorecard over a 5-quarter period ending in September 2021. Poisson regression demonstrated a 1.6% quarterly reduction in opioid prescribing, and chi-square analysis demonstrated pre-post reductions in the proportion of prescriptions longer than 5 days' duration and a morphine equivalent daily dose of >50.

Conclusions: To our knowledge, this is the first peer comparison effort with high-quality evidence-based metrics of this scale published in the literature. By sharing this process for designing the metrics and the process of distribution, the authors hope to influence other health systems to attempt to curb the opioid pandemic through peer comparison. Future research examining the effects of this intervention could demonstrate significant reductions in opioid prescribing, thus potentially reducing the progression of individual patients to opioid use disorder and the associated increased risk of morbidity and mortality.

设计和实施阿片类药物记分卡,用于医院系统内阿片类药物处方习惯的同行比较:观察研究。
背景:医疗服务提供者减少阿片类药物处方可降低患者对阿片类药物产生依赖的风险。同行比较已被证明会影响医疗服务提供者的处方习惯,但其对阿片类药物处方的影响主要是在急诊科环境中进行研究:本研究旨在介绍企业范围内阿片类药物记分卡的开发、实施架构以及未来研究其效果的计划:利用作者所在企业供应商提供的电子病历、企业分析软件生成的数据,以及由信息学家、医生和分析师组成的专门小组提供的专业知识,作者开发了阿片类药物记分卡,每季度通过电子邮件向本机构的所有阿片类药物处方者发布一次。这些记分卡根据既定指标,将医疗服务提供者的阿片类药物处方习惯与其所在专科的同行进行比较:结果:在本研究完成时,2034 名医疗服务提供者在截至 2021 年 9 月的 5 个季度内至少收到了 1 张记分卡。泊松回归结果显示,阿片类药物处方量每季度减少了 1.6%,卡方分析表明,持续时间超过 5 天的处方比例和每日吗啡当量大于 50 的处方比例在研究前和研究后都有所下降:据我们所知,这是首次在文献中发表的具有高质量循证指标的同行比较工作。作者希望通过分享这一指标的设计过程和分发过程,影响其他医疗系统尝试通过同行比较来遏制阿片类药物的流行。未来对这一干预措施效果的研究可能会证明阿片类药物处方的显著减少,从而有可能减少个别患者发展为阿片类药物使用障碍以及相关的发病和死亡风险的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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