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      The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey

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          Abstract

          Background

          Physician burnout has a direct impact on the delivery of high-quality health care, with health information technology tools such as electronic health records (EHRs) adding to the burden of practice inefficiencies.

          Objective

          The aim of this study was to determine the extent of burnout among physicians and learners (residents and fellows); identify significant EHR-related contributors of physician burnout; and explore the differences between physicians and learners with regard to EHR-related factors such as time spent in EHR, documentation styles, proficiency, training, and perceived usefulness. In addition, the study aimed to address gaps in the EHR-related burnout research methodologies by determining physicians’ patterns of EHR use through usage logs.

          Methods

          This study used a cross-sectional survey methodology and a review of administrative data for back-end log measures of survey respondents’ EHR use, which was conducted at a large Canadian academic mental health hospital. Chi-square and Fisher exact tests were used to examine the association of EHR-related factors with general physician burnout. The survey was sent out to 474 individuals between May and June 2019, including physicians (n=407), residents (n=53), and fellows (n=14), and we measured physician burnout and perceptions of EHR stressors (along with demographic and practice characteristics).

          Results

          Our survey included 208 respondents, including physicians (n=176) and learners (n=32). The response rate was 43.2% for physicians (full-time: 156/208, 75.0%; part-time: 20/199, 10.1%), and 48% (32/67) for learners. A total of 25.6% (45/176) of practicing physicians and 19% (6/32) of learners reported having one or more symptoms of burnout, and 74.5% (155/208) of all respondents who reported burnout symptoms identified the EHR as a contributor. Lower satisfaction and higher frustration with the EHRs were significantly associated with perceptions of EHR contributing toward burnout. Physicians’ and learners’ experiences with the EHR, gathered through open-ended survey responses, identified challenges around the intuitiveness and usability of the technology as well as workflow issues. Metrics gathered from back-end usage logs demonstrated a 13.6-min overestimation in time spent on EHRs per patient and a 5.63-hour overestimation of after-hours EHR time, when compared with self-reported survey data.

          Conclusions

          This study suggests that the use of EHRs is a perceived contributor to physician burnout. There should be a focus on combating physician burnout by reducing the unnecessary administrative burdens of EHRs through efficient implementation of systems and effective postimplementation strategies.

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          Most cited references35

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          Physician stress and burnout: the impact of health information technology

          To quantify how stress related to use of health information technology (HIT) predicts burnout among physicians.
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            Validation of a single-item measure of burnout against the Maslach Burnout Inventory among physicians

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              The impact of electronic health records on healthcare quality: a systematic review and meta-analysis

              To assess the impact of electronic health record (EHR) on healthcare quality, we hence carried out a systematic review and meta-analysis of published studies on this topic.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                July 2020
                15 July 2020
                : 22
                : 7
                : e19274
                Affiliations
                [1 ] Centre for Addiction and Mental Health Toronto, ON Canada
                [2 ] University of Toronto Toronto, ON Canada
                [3 ] Krembil Centre for Neuroinformatics Centre for Addiction and Mental Health Toronto, ON Canada
                [4 ] University of Waterloo Waterloo, ON Canada
                [5 ] McMaster University Hamilton, ON Canada
                Author notes
                Corresponding Author: Tania Tajirian Tania.Tajirian@ 123456camh.ca
                Author information
                https://orcid.org/0000-0003-0668-4397
                https://orcid.org/0000-0003-3941-9434
                https://orcid.org/0000-0002-1080-7372
                https://orcid.org/0000-0002-2715-3918
                https://orcid.org/0000-0001-9075-1761
                https://orcid.org/0000-0001-5159-4433
                https://orcid.org/0000-0002-7066-0560
                https://orcid.org/0000-0002-4002-7705
                https://orcid.org/0000-0002-0579-1337
                Article
                v22i7e19274
                10.2196/19274
                7392132
                32673234
                a2099c11-b4bc-4bba-90f6-2bc290130853
                ©Tania Tajirian, Vicky Stergiopoulos, Gillian Strudwick, Lydia Sequeira, Marcos Sanches, Jessica Kemp, Karishini Ramamoorthi, Timothy Zhang, Damian Jankowicz. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.07.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 14 April 2020
                : 19 April 2020
                : 22 April 2020
                : 27 April 2020
                Categories
                Original Paper
                Original Paper

                Medicine
                electronic health record,physician,burnout,psychiatry,medical informatics
                Medicine
                electronic health record, physician, burnout, psychiatry, medical informatics

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