Loading…

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

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. The aim of this study was to determine the extent of burnout among physicians and lear...

Full description

Saved in:
Bibliographic Details
Published in:Journal of medical Internet research 2020-07, Vol.22 (7), p.e19274
Main Authors: Tajirian, Tania, Stergiopoulos, Vicky, Strudwick, Gillian, Sequeira, Lydia, Sanches, Marcos, Kemp, Jessica, Ramamoorthi, Karishini, Zhang, Timothy, Jankowicz, Damian
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c457t-28038df15c7baaaf253eca39e49591efd2108570409700c1607b9502a259e9623
cites cdi_FETCH-LOGICAL-c457t-28038df15c7baaaf253eca39e49591efd2108570409700c1607b9502a259e9623
container_end_page
container_issue 7
container_start_page e19274
container_title Journal of medical Internet research
container_volume 22
creator Tajirian, Tania
Stergiopoulos, Vicky
Strudwick, Gillian
Sequeira, Lydia
Sanches, Marcos
Kemp, Jessica
Ramamoorthi, Karishini
Zhang, Timothy
Jankowicz, Damian
description 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. 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. 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). 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. This study suggests that the use of EHRs is a perceived contributor to physician burnout. There should be a focus on combating physi
doi_str_mv 10.2196/19274
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_ffe36c01f2a04f7a8a51f59592eb66ec</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_ffe36c01f2a04f7a8a51f59592eb66ec</doaj_id><sourcerecordid>2601575242</sourcerecordid><originalsourceid>FETCH-LOGICAL-c457t-28038df15c7baaaf253eca39e49591efd2108570409700c1607b9502a259e9623</originalsourceid><addsrcrecordid>eNpVkdtqGzEQhkVoiHPwKxRB6eWmOq5WvSi0JgdDIKWJb3IjxtpRvGYjpdrdgN--azsNyZUGzT_fHH5CppydC27Lb9wKow7IMVeyKqrK8E_v4gk56bo1Y4Ipy4_IRIrSSCHVMXm4XyGdx9AOGD3SFOhFi77PKTaeXiO0_Yr-QZ9yTRfdmI_092rTNb6BSH8NOaah_05nOXVdcTfWNSlCS--G_IKbM3IYoO1w-vqeksXlxf3suri5vZrPft4UXmnTF6JisqoD194sASAILdGDtKisthxDLTirtGGKWcOY5yUzS6uZAKEt2lLIUzLfc-sEa_ecmyfIG5egcbuPlB8d5L7xLboQUJae8SCAqWCgAs2DHvsIXJYl-pH1Y896HpZPWHuMfYb2A_RjJjYr95henJFWcLkd5ssrIKe_A3a9W6fxTOP-TpSMa6OF2qq-7lV-e7mM4a0DZ25rp9vZOeo-vx_nTfXfP_kPIO6Y6A</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2601575242</pqid></control><display><type>article</type><title>The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey</title><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>Library &amp; Information Science Abstracts (LISA)</source><source>PubMed Central Free</source><source>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</source><source>Library &amp; Information Science Collection</source><creator>Tajirian, Tania ; Stergiopoulos, Vicky ; Strudwick, Gillian ; Sequeira, Lydia ; Sanches, Marcos ; Kemp, Jessica ; Ramamoorthi, Karishini ; Zhang, Timothy ; Jankowicz, Damian</creator><creatorcontrib>Tajirian, Tania ; Stergiopoulos, Vicky ; Strudwick, Gillian ; Sequeira, Lydia ; Sanches, Marcos ; Kemp, Jessica ; Ramamoorthi, Karishini ; Zhang, Timothy ; Jankowicz, Damian</creatorcontrib><description>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. 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. 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). 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. 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.</description><identifier>ISSN: 1438-8871</identifier><identifier>ISSN: 1439-4456</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/19274</identifier><identifier>PMID: 32673234</identifier><language>eng</language><publisher>Canada: Gunther Eysenbach MD MPH, Associate Professor</publisher><subject>Adult ; Burnout ; Burnout, Professional - psychology ; Collaboration ; Competence ; Computerized medical records ; Cross-Sectional Studies ; Demography ; Documentation ; Electronic health records ; Electronic Health Records - standards ; Female ; Frustration ; Health care ; Health information ; Health records ; Hospitals ; Humans ; Information technology ; Male ; Medical technology ; Mental health ; Middle Aged ; Original Paper ; Patient safety ; Perceptions ; Physicians ; Physicians - psychology ; Polls &amp; surveys ; Psychiatry ; Research methodology ; Respondents ; Response rates ; Software ; Surveys and Questionnaires ; Symptoms ; Usefulness ; Variables</subject><ispartof>Journal of medical Internet research, 2020-07, Vol.22 (7), p.e19274</ispartof><rights>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.</rights><rights>2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>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. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-28038df15c7baaaf253eca39e49591efd2108570409700c1607b9502a259e9623</citedby><cites>FETCH-LOGICAL-c457t-28038df15c7baaaf253eca39e49591efd2108570409700c1607b9502a259e9623</cites><orcidid>0000-0002-0579-1337 ; 0000-0001-9075-1761 ; 0000-0003-0668-4397 ; 0000-0001-5159-4433 ; 0000-0002-1080-7372 ; 0000-0002-2715-3918 ; 0000-0003-3941-9434 ; 0000-0002-7066-0560 ; 0000-0002-4002-7705</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2601575242/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2601575242?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,12846,21381,21394,25753,27305,27924,27925,30999,33611,33906,34135,37012,43733,43892,44590,74221,74409,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32673234$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tajirian, Tania</creatorcontrib><creatorcontrib>Stergiopoulos, Vicky</creatorcontrib><creatorcontrib>Strudwick, Gillian</creatorcontrib><creatorcontrib>Sequeira, Lydia</creatorcontrib><creatorcontrib>Sanches, Marcos</creatorcontrib><creatorcontrib>Kemp, Jessica</creatorcontrib><creatorcontrib>Ramamoorthi, Karishini</creatorcontrib><creatorcontrib>Zhang, Timothy</creatorcontrib><creatorcontrib>Jankowicz, Damian</creatorcontrib><title>The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey</title><title>Journal of medical Internet research</title><addtitle>J Med Internet Res</addtitle><description>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. 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. 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). 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. 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.</description><subject>Adult</subject><subject>Burnout</subject><subject>Burnout, Professional - psychology</subject><subject>Collaboration</subject><subject>Competence</subject><subject>Computerized medical records</subject><subject>Cross-Sectional Studies</subject><subject>Demography</subject><subject>Documentation</subject><subject>Electronic health records</subject><subject>Electronic Health Records - standards</subject><subject>Female</subject><subject>Frustration</subject><subject>Health care</subject><subject>Health information</subject><subject>Health records</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Information technology</subject><subject>Male</subject><subject>Medical technology</subject><subject>Mental health</subject><subject>Middle Aged</subject><subject>Original Paper</subject><subject>Patient safety</subject><subject>Perceptions</subject><subject>Physicians</subject><subject>Physicians - psychology</subject><subject>Polls &amp; surveys</subject><subject>Psychiatry</subject><subject>Research methodology</subject><subject>Respondents</subject><subject>Response rates</subject><subject>Software</subject><subject>Surveys and Questionnaires</subject><subject>Symptoms</subject><subject>Usefulness</subject><subject>Variables</subject><issn>1438-8871</issn><issn>1439-4456</issn><issn>1438-8871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>ALSLI</sourceid><sourceid>CNYFK</sourceid><sourceid>F2A</sourceid><sourceid>M1O</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVkdtqGzEQhkVoiHPwKxRB6eWmOq5WvSi0JgdDIKWJb3IjxtpRvGYjpdrdgN--azsNyZUGzT_fHH5CppydC27Lb9wKow7IMVeyKqrK8E_v4gk56bo1Y4Ipy4_IRIrSSCHVMXm4XyGdx9AOGD3SFOhFi77PKTaeXiO0_Yr-QZ9yTRfdmI_092rTNb6BSH8NOaah_05nOXVdcTfWNSlCS--G_IKbM3IYoO1w-vqeksXlxf3suri5vZrPft4UXmnTF6JisqoD194sASAILdGDtKisthxDLTirtGGKWcOY5yUzS6uZAKEt2lLIUzLfc-sEa_ecmyfIG5egcbuPlB8d5L7xLboQUJae8SCAqWCgAs2DHvsIXJYl-pH1Y896HpZPWHuMfYb2A_RjJjYr95henJFWcLkd5ssrIKe_A3a9W6fxTOP-TpSMa6OF2qq-7lV-e7mM4a0DZ25rp9vZOeo-vx_nTfXfP_kPIO6Y6A</recordid><startdate>20200715</startdate><enddate>20200715</enddate><creator>Tajirian, Tania</creator><creator>Stergiopoulos, Vicky</creator><creator>Strudwick, Gillian</creator><creator>Sequeira, Lydia</creator><creator>Sanches, Marcos</creator><creator>Kemp, Jessica</creator><creator>Ramamoorthi, Karishini</creator><creator>Zhang, Timothy</creator><creator>Jankowicz, Damian</creator><general>Gunther Eysenbach MD MPH, Associate Professor</general><general>JMIR Publications</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1O</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0579-1337</orcidid><orcidid>https://orcid.org/0000-0001-9075-1761</orcidid><orcidid>https://orcid.org/0000-0003-0668-4397</orcidid><orcidid>https://orcid.org/0000-0001-5159-4433</orcidid><orcidid>https://orcid.org/0000-0002-1080-7372</orcidid><orcidid>https://orcid.org/0000-0002-2715-3918</orcidid><orcidid>https://orcid.org/0000-0003-3941-9434</orcidid><orcidid>https://orcid.org/0000-0002-7066-0560</orcidid><orcidid>https://orcid.org/0000-0002-4002-7705</orcidid></search><sort><creationdate>20200715</creationdate><title>The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey</title><author>Tajirian, Tania ; Stergiopoulos, Vicky ; Strudwick, Gillian ; Sequeira, Lydia ; Sanches, Marcos ; Kemp, Jessica ; Ramamoorthi, Karishini ; Zhang, Timothy ; Jankowicz, Damian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c457t-28038df15c7baaaf253eca39e49591efd2108570409700c1607b9502a259e9623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Burnout</topic><topic>Burnout, Professional - psychology</topic><topic>Collaboration</topic><topic>Competence</topic><topic>Computerized medical records</topic><topic>Cross-Sectional Studies</topic><topic>Demography</topic><topic>Documentation</topic><topic>Electronic health records</topic><topic>Electronic Health Records - standards</topic><topic>Female</topic><topic>Frustration</topic><topic>Health care</topic><topic>Health information</topic><topic>Health records</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Information technology</topic><topic>Male</topic><topic>Medical technology</topic><topic>Mental health</topic><topic>Middle Aged</topic><topic>Original Paper</topic><topic>Patient safety</topic><topic>Perceptions</topic><topic>Physicians</topic><topic>Physicians - psychology</topic><topic>Polls &amp; surveys</topic><topic>Psychiatry</topic><topic>Research methodology</topic><topic>Respondents</topic><topic>Response rates</topic><topic>Software</topic><topic>Surveys and Questionnaires</topic><topic>Symptoms</topic><topic>Usefulness</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tajirian, Tania</creatorcontrib><creatorcontrib>Stergiopoulos, Vicky</creatorcontrib><creatorcontrib>Strudwick, Gillian</creatorcontrib><creatorcontrib>Sequeira, Lydia</creatorcontrib><creatorcontrib>Sanches, Marcos</creatorcontrib><creatorcontrib>Kemp, Jessica</creatorcontrib><creatorcontrib>Ramamoorthi, Karishini</creatorcontrib><creatorcontrib>Zhang, Timothy</creatorcontrib><creatorcontrib>Jankowicz, Damian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Library &amp; Information Science Collection</collection><collection>ProQuest Central</collection><collection>Library &amp; Information Sciences Abstracts (LISA)</collection><collection>Library &amp; Information Science Abstracts (LISA)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Library Science Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of medical Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tajirian, Tania</au><au>Stergiopoulos, Vicky</au><au>Strudwick, Gillian</au><au>Sequeira, Lydia</au><au>Sanches, Marcos</au><au>Kemp, Jessica</au><au>Ramamoorthi, Karishini</au><au>Zhang, Timothy</au><au>Jankowicz, Damian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey</atitle><jtitle>Journal of medical Internet research</jtitle><addtitle>J Med Internet Res</addtitle><date>2020-07-15</date><risdate>2020</risdate><volume>22</volume><issue>7</issue><spage>e19274</spage><pages>e19274-</pages><issn>1438-8871</issn><issn>1439-4456</issn><eissn>1438-8871</eissn><abstract>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. 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. 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). 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. 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.</abstract><cop>Canada</cop><pub>Gunther Eysenbach MD MPH, Associate Professor</pub><pmid>32673234</pmid><doi>10.2196/19274</doi><orcidid>https://orcid.org/0000-0002-0579-1337</orcidid><orcidid>https://orcid.org/0000-0001-9075-1761</orcidid><orcidid>https://orcid.org/0000-0003-0668-4397</orcidid><orcidid>https://orcid.org/0000-0001-5159-4433</orcidid><orcidid>https://orcid.org/0000-0002-1080-7372</orcidid><orcidid>https://orcid.org/0000-0002-2715-3918</orcidid><orcidid>https://orcid.org/0000-0003-3941-9434</orcidid><orcidid>https://orcid.org/0000-0002-7066-0560</orcidid><orcidid>https://orcid.org/0000-0002-4002-7705</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1438-8871
ispartof Journal of medical Internet research, 2020-07, Vol.22 (7), p.e19274
issn 1438-8871
1439-4456
1438-8871
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_ffe36c01f2a04f7a8a51f59592eb66ec
source Applied Social Sciences Index & Abstracts (ASSIA); Publicly Available Content Database (Proquest) (PQ_SDU_P3); Library & Information Science Abstracts (LISA); PubMed Central Free; Social Science Premium Collection (Proquest) (PQ_SDU_P3); Library & Information Science Collection
subjects Adult
Burnout
Burnout, Professional - psychology
Collaboration
Competence
Computerized medical records
Cross-Sectional Studies
Demography
Documentation
Electronic health records
Electronic Health Records - standards
Female
Frustration
Health care
Health information
Health records
Hospitals
Humans
Information technology
Male
Medical technology
Mental health
Middle Aged
Original Paper
Patient safety
Perceptions
Physicians
Physicians - psychology
Polls & surveys
Psychiatry
Research methodology
Respondents
Response rates
Software
Surveys and Questionnaires
Symptoms
Usefulness
Variables
title The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T12%3A52%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Influence%20of%20Electronic%20Health%20Record%20Use%20on%20Physician%20Burnout:%20Cross-Sectional%20Survey&rft.jtitle=Journal%20of%20medical%20Internet%20research&rft.au=Tajirian,%20Tania&rft.date=2020-07-15&rft.volume=22&rft.issue=7&rft.spage=e19274&rft.pages=e19274-&rft.issn=1438-8871&rft.eissn=1438-8871&rft_id=info:doi/10.2196/19274&rft_dat=%3Cproquest_doaj_%3E2601575242%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c457t-28038df15c7baaaf253eca39e49591efd2108570409700c1607b9502a259e9623%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2601575242&rft_id=info:pmid/32673234&rfr_iscdi=true