Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, California, USA.
Department of Family and Community Medicine, University of California, San Francisco, San Francisco, California, USA.
J Am Med Inform Assoc. 2020 Apr 1;27(4):531-538. doi: 10.1093/jamia/ocz220.
The study sought to determine whether objective measures of electronic health record (EHR) use-related to time, volume of work, and proficiency-are associated with either or both components of clinician burnout: exhaustion and cynicism.
We combined Maslach Burnout Inventory survey measures (94% response rate; 122 of 130 clinicians) with objective, vendor-defined EHR use measures from log files (time after hours on clinic days; time on nonclinic days; message volume; composite measures of efficiency and proficiency). Data were collected in early 2018 from all primary care clinics of a large, urban, academic medical center. Multivariate regression models measured the association between each burnout component and each EHR use measure.
One-third (34%) of clinicians had high cynicism and 51% had high emotional exhaustion. Clinicians in the top 2 quartiles of EHR time after hours on scheduled clinic days (those above the sample median of 68 minutes per clinical full-time equivalent per week) had 4.78 (95% confidence interval [CI], 1.1-20.1; P = .04) and 12.52 (95% CI, 2.6-61; P = .002) greater odds of high exhaustion. Clinicians in the top quartile of message volume (>307 messages per clinical full-time equivalent per week) had 6.17 greater odds of high exhaustion (95% CI, 1.1-41; P = .04). No measures were associated with high cynicism.
EHRs have been cited as a contributor to clinician burnout, and self-reported data suggest a relationship between EHR use and burnout. As organizations increasingly rely on objective, vendor-defined EHR measures to design and evaluate interventions to reduce burnout, our findings point to the measures that should be targeted.
Two specific EHR use measures were associated with exhaustion.
本研究旨在确定电子病历(EHR)使用的客观测量指标(与时间、工作量和熟练度相关)是否与临床医生倦怠的一个或两个组成部分(耗竭和玩世不恭)相关。
我们将 Maslach 倦怠量表(94%的回应率;130 名临床医生中的 122 名)与从日志文件中获取的客观、供应商定义的 EHR 使用指标(诊所日下班后的时间;非诊所日的时间;信息数量;效率和熟练度的综合指标)相结合。数据于 2018 年初从一家大型城市学术医疗中心的所有初级保健诊所收集。多元回归模型测量了每个倦怠组成部分与每个 EHR 使用测量之间的关联。
三分之一(34%)的临床医生有高度的玩世不恭,51%的人有高度的情绪耗竭。在预定诊所日下班后 EHR 时间的前 2 个四分位数(高于每周每临床全职等效 68 分钟的样本中位数)的临床医生,出现高耗竭的几率分别为 4.78(95%置信区间 [CI],1.1-20.1;P =.04)和 12.52(95% CI,2.6-61;P =.002)。信息数量在前四分位数(每周每临床全职等效 >307 条信息)的临床医生,出现高耗竭的几率更高,为 6.17(95% CI,1.1-41;P =.04)。没有任何指标与高度玩世不恭相关。
EHR 被认为是导致临床医生倦怠的原因之一,而自我报告的数据表明 EHR 使用与倦怠之间存在关系。随着组织越来越依赖客观、供应商定义的 EHR 指标来设计和评估减少倦怠的干预措施,我们的研究结果指出了应针对的指标。
两项特定的 EHR 使用指标与耗竭相关。