<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>9(2)</volume><submitter>Messias E</submitter><pubmed_abstract>OBJECTIVE:To determine the prevalence and associated factors for personal, work-related and patient/client-related burnout in clinical professionals and biomedical scientists in academic medicine. DESIGN:Prevalence survey using the Copenhagen Burnout Inventory. SETTING:Mid-size academic health centre. PARTICIPANTS:Clinical providers (n=6489) and biomedical scientists (n=248) were invited to complete the survey. 1646 completed responses (response rate 24.4%) were analysed. PRIMARY AND SECONDARY OUTCOME MEASURES:Prevalence estimates and adjusted ORs (AOR) were stratified for gender, age and professional category. RESULTS:Type of burnout varies across professional categories, with significant differences between clinicians and scientists. The prevalence of personal burnout was 52.7% (95%CI 50% to 55%), work-related burnout 47.5% (95%CI 45% to 49%) and patient/client-related burnout 20.3% (95%CI 18% to 22%). The prevalence of personal and work-related burnout was higher among women, while those aged 20-30 had a higher prevalence of all three burnout categories. Overall, clinical professionals had higher personal and work-related burnout, while biomedical scientists had higher client-related burnout. Accounting for the effects of gender and age, a significantly higher risk for personal burnout was found for physicians (AOR 1.64; 95%CI 1.3 to 2.1) and nurses (AOR 1.5; 95%CI 1.03 to 2.2). Significantly higher odds of work-related burnout were found for nurses (AOR 1.5; 95%CI 1.2 to 1.9) and residents (AOR 1.9; 95%CI 1.04 to 3.6). Basic scientists (AOR 10.0; 95%CI 5.7 to 17.6), physicians (AOR 2.8; 95%CI 1.9 to 4.1) and nurses (AOR 2.1; 95%CI 1.3 to 3.5) had higher odds of patient/client-related burnout. CONCLUSIONS:Types of burnout are unevenly distributed in academic medical centres. Physicians have higher risk of personal and patient/client-related burnout, residents have higher risk of work-related burnout, basic scientists are at higher risk of client-related burnout and nurses have higher odds of all three types of burnout. Interventions addressing the problem of burnout in clinical environments may be inadequate to support biomedical scientists.</pubmed_abstract><journal>BMJ open</journal><pagination>e023506</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6367953</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Differences in burnout prevalence between clinical professionals and biomedical scientists in an academic medical centre: a cross-sectional survey.</pubmed_title><pmcid>PMC6367953</pmcid><pubmed_authors>Thapa P</pubmed_authors><pubmed_authors>Messias E</pubmed_authors><pubmed_authors>Thrush CR</pubmed_authors><pubmed_authors>Freeman ES</pubmed_authors><pubmed_authors>Gathright MM</pubmed_authors><pubmed_authors>Flynn V</pubmed_authors><pubmed_authors>Atkinson T</pubmed_authors><pubmed_authors>Clardy JA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Differences in burnout prevalence between clinical professionals and biomedical scientists in an academic medical centre: a cross-sectional survey.</name><description>OBJECTIVE:To determine the prevalence and associated factors for personal, work-related and patient/client-related burnout in clinical professionals and biomedical scientists in academic medicine. DESIGN:Prevalence survey using the Copenhagen Burnout Inventory. SETTING:Mid-size academic health centre. PARTICIPANTS:Clinical providers (n=6489) and biomedical scientists (n=248) were invited to complete the survey. 1646 completed responses (response rate 24.4%) were analysed. PRIMARY AND SECONDARY OUTCOME MEASURES:Prevalence estimates and adjusted ORs (AOR) were stratified for gender, age and professional category. RESULTS:Type of burnout varies across professional categories, with significant differences between clinicians and scientists. The prevalence of personal burnout was 52.7% (95%CI 50% to 55%), work-related burnout 47.5% (95%CI 45% to 49%) and patient/client-related burnout 20.3% (95%CI 18% to 22%). The prevalence of personal and work-related burnout was higher among women, while those aged 20-30 had a higher prevalence of all three burnout categories. Overall, clinical professionals had higher personal and work-related burnout, while biomedical scientists had higher client-related burnout. Accounting for the effects of gender and age, a significantly higher risk for personal burnout was found for physicians (AOR 1.64; 95%CI 1.3 to 2.1) and nurses (AOR 1.5; 95%CI 1.03 to 2.2). Significantly higher odds of work-related burnout were found for nurses (AOR 1.5; 95%CI 1.2 to 1.9) and residents (AOR 1.9; 95%CI 1.04 to 3.6). Basic scientists (AOR 10.0; 95%CI 5.7 to 17.6), physicians (AOR 2.8; 95%CI 1.9 to 4.1) and nurses (AOR 2.1; 95%CI 1.3 to 3.5) had higher odds of patient/client-related burnout. CONCLUSIONS:Types of burnout are unevenly distributed in academic medical centres. Physicians have higher risk of personal and patient/client-related burnout, residents have higher risk of work-related burnout, basic scientists are at higher risk of client-related burnout and nurses have higher odds of all three types of burnout. Interventions addressing the problem of burnout in clinical environments may be inadequate to support biomedical scientists.</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Feb</publication><modification>2020-10-29T08:55:03Z</modification><creation>2019-08-04T08:24:31Z</creation></dates><accession>S-EPMC6367953</accession><cross_references><pubmed>30782882</pubmed><doi>10.1136/bmjopen-2018-023506</doi></cross_references></HashMap>