What gets resident physicians stressed and how would they prefer to be supported? A best–worst scaling study
IntroductionPhysician burnout has severe consequences on clinician well-being. Residents face numerous work-stressors that can contribute to burnout; however, given specialty variation in work-stress, it is difficult to identify systemic stressors and implement effective burnout interventions on an...
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| Veröffentlicht in: | Postgraduate medical journal 2022-12, Vol.98 (1166), p.930-935 |
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| creator | Wu, Andrew Parris, Ritika S Scarella, Timothy M Tibbles, Carrie D Torous, John Hill, Kevin P |
| description | IntroductionPhysician burnout has severe consequences on clinician well-being. Residents face numerous work-stressors that can contribute to burnout; however, given specialty variation in work-stress, it is difficult to identify systemic stressors and implement effective burnout interventions on an institutional level. Assessing resident preferences by specialty for common wellness interventions could also contribute to improved efficacy.MethodsThis cross-sectional study used best–worst scaling (BWS), a type of discrete choice modelling, to explore how 267 residents across nine specialties (anaesthesiology, emergency medicine, internal medicine, neurology, obstetrics and gynaecology, pathology, psychiatry, radiology and surgery) prioritised 16 work-stressors and 4 wellness interventions at a large academic medical centre during the COVID-19 pandemic (December 2020).ResultsTop-ranked stressors were work-life integration and electronic health record documentation. Therapy (63%, selected as ‘would realistically consider intervention’) and coaching (58%) were the most preferred wellness supports in comparison to group-based peer support (20%) and individual peer support (22%). Pathology, psychiatry and OBGYN specialties were most willing to consider all intervention options, with emergency medicine and internal medicine specialties least willing to consider intervention options.ConclusionBWS can identify relative differences in surveyed stressors, allowing for the generation of specialty-specific stressor rankings and preferences for specific wellness interventions that can be used to drive institution-wide changes to improve clinician wellness. BWS surveys are a potential methodology for clinician wellness programmes to gather specific information on preferences to determine best practices for resident wellness. |
| doi_str_mv | 10.1136/postgradmedj-2021-140719 |
| format | Article |
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A best–worst scaling study</title><source>MEDLINE</source><source>Oxford University Press Journals All Titles (1996-Current)</source><creator>Wu, Andrew ; Parris, Ritika S ; Scarella, Timothy M ; Tibbles, Carrie D ; Torous, John ; Hill, Kevin P</creator><creatorcontrib>Wu, Andrew ; Parris, Ritika S ; Scarella, Timothy M ; Tibbles, Carrie D ; Torous, John ; Hill, Kevin P</creatorcontrib><description>IntroductionPhysician burnout has severe consequences on clinician well-being. Residents face numerous work-stressors that can contribute to burnout; however, given specialty variation in work-stress, it is difficult to identify systemic stressors and implement effective burnout interventions on an institutional level. Assessing resident preferences by specialty for common wellness interventions could also contribute to improved efficacy.MethodsThis cross-sectional study used best–worst scaling (BWS), a type of discrete choice modelling, to explore how 267 residents across nine specialties (anaesthesiology, emergency medicine, internal medicine, neurology, obstetrics and gynaecology, pathology, psychiatry, radiology and surgery) prioritised 16 work-stressors and 4 wellness interventions at a large academic medical centre during the COVID-19 pandemic (December 2020).ResultsTop-ranked stressors were work-life integration and electronic health record documentation. Therapy (63%, selected as ‘would realistically consider intervention’) and coaching (58%) were the most preferred wellness supports in comparison to group-based peer support (20%) and individual peer support (22%). Pathology, psychiatry and OBGYN specialties were most willing to consider all intervention options, with emergency medicine and internal medicine specialties least willing to consider intervention options.ConclusionBWS can identify relative differences in surveyed stressors, allowing for the generation of specialty-specific stressor rankings and preferences for specific wellness interventions that can be used to drive institution-wide changes to improve clinician wellness. BWS surveys are a potential methodology for clinician wellness programmes to gather specific information on preferences to determine best practices for resident wellness.</description><identifier>ISSN: 0032-5473</identifier><identifier>EISSN: 1469-0756</identifier><identifier>DOI: 10.1136/postgradmedj-2021-140719</identifier><identifier>PMID: 34810273</identifier><language>eng</language><publisher>England: The Fellowship of Postgraduate Medicine</publisher><subject>Burnout ; Burnout, Professional - epidemiology ; Burnout, Professional - prevention & control ; Coaching ; COVID-19 - epidemiology ; Cross-Sectional Studies ; Documentation ; Emergency Medicine ; health economics ; human resource management ; Humans ; Internship and Residency ; Intervention ; Medical education ; medical education & training ; Mental health ; Original research ; Pandemics ; Patient satisfaction ; Peer tutoring ; Physicians ; Polls & surveys ; Preferences ; Psychiatry ; Psychotherapy ; Stress ; Support groups ; Well being</subject><ispartof>Postgraduate medical journal, 2022-12, Vol.98 (1166), p.930-935</ispartof><rights>Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2022 Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b388t-f7760bdd2fda11cee264e97d0aca80ed7aaea9504952a30d20b0336b20b654723</citedby><cites>FETCH-LOGICAL-b388t-f7760bdd2fda11cee264e97d0aca80ed7aaea9504952a30d20b0336b20b654723</cites><orcidid>0000-0002-8314-8216</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34810273$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Andrew</creatorcontrib><creatorcontrib>Parris, Ritika S</creatorcontrib><creatorcontrib>Scarella, Timothy M</creatorcontrib><creatorcontrib>Tibbles, Carrie D</creatorcontrib><creatorcontrib>Torous, John</creatorcontrib><creatorcontrib>Hill, Kevin P</creatorcontrib><title>What gets resident physicians stressed and how would they prefer to be supported? A best–worst scaling study</title><title>Postgraduate medical journal</title><addtitle>Postgrad Med J</addtitle><addtitle>Postgrad Med J</addtitle><description>IntroductionPhysician burnout has severe consequences on clinician well-being. Residents face numerous work-stressors that can contribute to burnout; however, given specialty variation in work-stress, it is difficult to identify systemic stressors and implement effective burnout interventions on an institutional level. Assessing resident preferences by specialty for common wellness interventions could also contribute to improved efficacy.MethodsThis cross-sectional study used best–worst scaling (BWS), a type of discrete choice modelling, to explore how 267 residents across nine specialties (anaesthesiology, emergency medicine, internal medicine, neurology, obstetrics and gynaecology, pathology, psychiatry, radiology and surgery) prioritised 16 work-stressors and 4 wellness interventions at a large academic medical centre during the COVID-19 pandemic (December 2020).ResultsTop-ranked stressors were work-life integration and electronic health record documentation. Therapy (63%, selected as ‘would realistically consider intervention’) and coaching (58%) were the most preferred wellness supports in comparison to group-based peer support (20%) and individual peer support (22%). Pathology, psychiatry and OBGYN specialties were most willing to consider all intervention options, with emergency medicine and internal medicine specialties least willing to consider intervention options.ConclusionBWS can identify relative differences in surveyed stressors, allowing for the generation of specialty-specific stressor rankings and preferences for specific wellness interventions that can be used to drive institution-wide changes to improve clinician wellness. BWS surveys are a potential methodology for clinician wellness programmes to gather specific information on preferences to determine best practices for resident wellness.</description><subject>Burnout</subject><subject>Burnout, Professional - epidemiology</subject><subject>Burnout, Professional - prevention & control</subject><subject>Coaching</subject><subject>COVID-19 - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Documentation</subject><subject>Emergency Medicine</subject><subject>health economics</subject><subject>human resource management</subject><subject>Humans</subject><subject>Internship and Residency</subject><subject>Intervention</subject><subject>Medical education</subject><subject>medical education & training</subject><subject>Mental health</subject><subject>Original research</subject><subject>Pandemics</subject><subject>Patient satisfaction</subject><subject>Peer tutoring</subject><subject>Physicians</subject><subject>Polls & surveys</subject><subject>Preferences</subject><subject>Psychiatry</subject><subject>Psychotherapy</subject><subject>Stress</subject><subject>Support groups</subject><subject>Well being</subject><issn>0032-5473</issn><issn>1469-0756</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkMtOwzAQRS0EoqXwC8gS68D4kThZoQrxkiqxAbGMnNhpErVxsB1V3fEP_CFfgquUx47VaMZ37vUchDCBS0JYctUb55dWqrVWbUSBkohwECQ7QFPCkywCESeHaArAaBRzwSboxLkWgDDByTGaMJ4SoIJNUfdaS4-X2jtstWuU7jzu661rykZ2Djsfpk4rLDuFa7PBGzOsFPa13uLe6kpb7A0uNHZD3xvrtbrG89A7__n-sTHWeexKuWq6ZbAa1PYUHVVy5fTZvs7Qy93t881DtHi6f7yZL6KCpamPKiESKJSilZKElFrThOtMKJClTEErIaWWWQw8i6lkoCgUwFhShJqEeymboYvRt7fmbQjfyVsz2C5E5lTwYA4kEUGVjqrSGufCOXlvm7W025xAvgOd_wWd70DnI-iwer4PGIrw-LP4TTYI-Cgo1u1v-L--X1b6kTw</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Wu, Andrew</creator><creator>Parris, Ritika S</creator><creator>Scarella, Timothy M</creator><creator>Tibbles, Carrie D</creator><creator>Torous, John</creator><creator>Hill, Kevin P</creator><general>The Fellowship of Postgraduate Medicine</general><general>Oxford University Press</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-8314-8216</orcidid></search><sort><creationdate>20221201</creationdate><title>What gets resident physicians stressed and how would they prefer to be supported? A best–worst scaling study</title><author>Wu, Andrew ; Parris, Ritika S ; Scarella, Timothy M ; Tibbles, Carrie D ; Torous, John ; Hill, Kevin P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b388t-f7760bdd2fda11cee264e97d0aca80ed7aaea9504952a30d20b0336b20b654723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Burnout</topic><topic>Burnout, Professional - epidemiology</topic><topic>Burnout, Professional - prevention & control</topic><topic>Coaching</topic><topic>COVID-19 - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Documentation</topic><topic>Emergency Medicine</topic><topic>health economics</topic><topic>human resource management</topic><topic>Humans</topic><topic>Internship and Residency</topic><topic>Intervention</topic><topic>Medical education</topic><topic>medical education & training</topic><topic>Mental health</topic><topic>Original research</topic><topic>Pandemics</topic><topic>Patient satisfaction</topic><topic>Peer tutoring</topic><topic>Physicians</topic><topic>Polls & surveys</topic><topic>Preferences</topic><topic>Psychiatry</topic><topic>Psychotherapy</topic><topic>Stress</topic><topic>Support groups</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Andrew</creatorcontrib><creatorcontrib>Parris, Ritika S</creatorcontrib><creatorcontrib>Scarella, Timothy M</creatorcontrib><creatorcontrib>Tibbles, Carrie D</creatorcontrib><creatorcontrib>Torous, John</creatorcontrib><creatorcontrib>Hill, Kevin P</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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</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>ProQuest Central Basic</collection><jtitle>Postgraduate medical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Andrew</au><au>Parris, Ritika S</au><au>Scarella, Timothy M</au><au>Tibbles, Carrie D</au><au>Torous, John</au><au>Hill, Kevin P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>What gets resident physicians stressed and how would they prefer to be supported? A best–worst scaling study</atitle><jtitle>Postgraduate medical journal</jtitle><stitle>Postgrad Med J</stitle><addtitle>Postgrad Med J</addtitle><date>2022-12-01</date><risdate>2022</risdate><volume>98</volume><issue>1166</issue><spage>930</spage><epage>935</epage><pages>930-935</pages><issn>0032-5473</issn><eissn>1469-0756</eissn><abstract>IntroductionPhysician burnout has severe consequences on clinician well-being. Residents face numerous work-stressors that can contribute to burnout; however, given specialty variation in work-stress, it is difficult to identify systemic stressors and implement effective burnout interventions on an institutional level. Assessing resident preferences by specialty for common wellness interventions could also contribute to improved efficacy.MethodsThis cross-sectional study used best–worst scaling (BWS), a type of discrete choice modelling, to explore how 267 residents across nine specialties (anaesthesiology, emergency medicine, internal medicine, neurology, obstetrics and gynaecology, pathology, psychiatry, radiology and surgery) prioritised 16 work-stressors and 4 wellness interventions at a large academic medical centre during the COVID-19 pandemic (December 2020).ResultsTop-ranked stressors were work-life integration and electronic health record documentation. Therapy (63%, selected as ‘would realistically consider intervention’) and coaching (58%) were the most preferred wellness supports in comparison to group-based peer support (20%) and individual peer support (22%). Pathology, psychiatry and OBGYN specialties were most willing to consider all intervention options, with emergency medicine and internal medicine specialties least willing to consider intervention options.ConclusionBWS can identify relative differences in surveyed stressors, allowing for the generation of specialty-specific stressor rankings and preferences for specific wellness interventions that can be used to drive institution-wide changes to improve clinician wellness. BWS surveys are a potential methodology for clinician wellness programmes to gather specific information on preferences to determine best practices for resident wellness.</abstract><cop>England</cop><pub>The Fellowship of Postgraduate Medicine</pub><pmid>34810273</pmid><doi>10.1136/postgradmedj-2021-140719</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-8314-8216</orcidid></addata></record> |
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| subjects | Burnout Burnout, Professional - epidemiology Burnout, Professional - prevention & control Coaching COVID-19 - epidemiology Cross-Sectional Studies Documentation Emergency Medicine health economics human resource management Humans Internship and Residency Intervention Medical education medical education & training Mental health Original research Pandemics Patient satisfaction Peer tutoring Physicians Polls & surveys Preferences Psychiatry Psychotherapy Stress Support groups Well being |
| title | What gets resident physicians stressed and how would they prefer to be supported? A best–worst scaling study |
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