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Using objective clinical metrics to understand the relationship between the electronic health record and physician well-being: observational pilot study

BJPsych Open. 2021 Sep 21;7(5):e174. doi: 10.1192/bjo.2021.993.

ABSTRACT

BACKGROUND: Electronic health records (EHRs) are a significant contributor to physicians’ low satisfaction, reduced engagement and increased burnout. Yet the majority of evidence around EHR and physician harms is based on self-reported screen time, which may both over- and underreport actual exposure.

AIMS: The purpose of this study was to examine how objective EHR use correlates with physician well-being and to develop preliminary recommendations for well-being-based EHR interventions.

METHOD: Prior to the onset of COVID-19, psychiatry residents and attending physicians working in an out-patient clinic at an academic medical centre provided consent for access to EHR-usage logs and completed a well-being assessment made up of three scales: the Maslach Burnout Inventory, the Urecht Work Engagement Scale and the Professional Quality of Life Measure. Survey responses and objective EHR data were analysed with descriptive statistics.

RESULTS: Responses were obtained from 20 psychiatry residents (total eligible residents n = 27; 74% participation) and 16 clinical faculty members (total eligible faculty n = 24; 67% participation) with an overall response rate of 71% (total eligible residents and faculty n = 51 and total residents and faculty who completed survey n = 36). Moderate correlations for multiple well-being domains emerged in analysis for all participants, especially around the time spent per note and patient visits closed the same day.

CONCLUSIONS: EHR-usage logs represent an objective tool in the evaluation and enhancement of physician well-being. Results from our pilot study suggest that metrics for note writing efficiency and closing patient visits the same day are associated with physician well-being. These metrics will be important to study in ongoing efforts involving well-being-based EHR interventions.

PMID:34545781 | DOI:10.1192/bjo.2021.993

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