{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T06:35:00Z","timestamp":1792391700447,"version":"4.4.0"},"reference-count":71,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T00:00:00Z","timestamp":1781568000000},"content-version":"vor","delay-in-days":15,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP22K10420"],"award-info":[{"award-number":["JP22K10420"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Evaluation Clinical Practice"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Rationale<\/jats:title>\n                    <jats:p>Robust outcome measurement is central to evaluating clinical training environments and providing timely support to medical students. Burnout during clinical clerkships is common; however, evidence of the capability of instruments to monitor sustained risks and detect meaningful changes remains limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims and Objectives<\/jats:title>\n                    <jats:p>To evaluate the responsiveness of the 11\u2010item Oldenburg Burnout Inventory\u2013Medical Student version (OLBI\u2010MS\u201011) and examine the baseline predictors of individuals' sustained burnout during their clerkships.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We examined within\u2010person change correlations between the OLBI\u2010MS\u201011 and domain\u2010matched anchors (Maslach Burnout Inventory\u2013General Survey [MBI\u2010GS] subscales) in a five\u2010wave longitudinal cohort study of Japanese medical students (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u2009162). We assessed the instrument's discrimination of MBI\u2010defined burnout caseness and analysed associations between burnout trajectories and clinically relevant constructs, including psychological flexibility, depressive symptoms, perceived stigma, mistreatment, and absence of clerkship.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The OLBI\u2010MS\u201011 demonstrated moderate, domain\u2010concordant correlations in within\u2010person changes with the MBI\u2010GS subscales across adjacent time points and maintained a stable discrimination of burnout caseness (AUC\u2009\u2248\u20090.82\u20130.84). Changes in burnout were associated with concurrent changes in psychological flexibility and depressive symptoms. Higher baseline psychological flexibility was associated with a reduced risk of sustained burnout, whereas mistreatment predicted persistent burnout.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The OLBI\u2010MS\u201011 showed responsiveness and discriminative validity in clinical clerkships. Its use may facilitate the longitudinal monitoring of medical students' well\u2010being and inform the identification of sustained burnout risk. Continuous\u2010change metrics may provide a more nuanced evaluation of individual trajectories than dichotomous classifications alone.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jep.70500","type":"journal-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T18:14:38Z","timestamp":1781633678000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Responsiveness of the Oldenburg Burnout Inventory for Medical Students and Predictors of Sustained Burnout during Clinical Clerkships: A Five\u2010Wave Longitudinal Cohort Study"],"prefix":"10.1111","volume":"32","author":[{"given":"Takafumi","family":"Watanabe","sequence":"first","affiliation":[{"name":"Department of Psychiatry Nagoya City University Graduate School of Medical Sciences Nagoya Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Osamu","family":"Takakuwa","sequence":"additional","affiliation":[{"name":"Department of Medical Education Nagoya City University Graduate School of Medical Sciences Nagoya Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1100-7518","authenticated-orcid":false,"given":"Tatsuo","family":"Akechi","sequence":"additional","affiliation":[{"name":"Department of Psychiatry Nagoya City University Graduate School of Medical Sciences Nagoya Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,16]]},"reference":[{"key":"e_1_2_12_2_1","unstructured":"World Health Organization International Classification of Diseases. 11th revision; 2019:(ICD\u201011) 2019 accessed December 24 2025 https:\/\/icdwho.int\/en."},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mayocp.2016.02.001"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/joim.12752"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/medu.12927"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2018-023297"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0241335"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12888-023-04811-y"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.brat.2005.06.006"},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcbs.2017.08.003"},{"key":"e_1_2_12_11_1","doi-asserted-by":"publisher","DOI":"10.1097\/acm.0000000000000655"},{"key":"e_1_2_12_12_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2021-050393"},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.1097\/ACM.0000000000000204"},{"key":"e_1_2_12_14_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2020.0030"},{"key":"e_1_2_12_15_1","doi-asserted-by":"publisher","DOI":"10.30770\/2572-1852-105.4.8"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2020.19090901"},{"key":"e_1_2_12_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/wps.20311"},{"key":"e_1_2_12_18_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0226361"},{"key":"e_1_2_12_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(21)01596-8"},{"key":"e_1_2_12_20_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamapsychiatry.2019.1332"},{"key":"e_1_2_12_21_1","doi-asserted-by":"publisher","DOI":"10.2196\/42566"},{"key":"e_1_2_12_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0005-7894(04)80022-4"},{"key":"e_1_2_12_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.brat.2007.05.008"},{"key":"e_1_2_12_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcbs.2023.08.009"},{"issue":"3","key":"e_1_2_12_25_1","first-page":"453","article-title":"The Three\u2010Factor Structure of the Maslach Burnout Inventory: A Multicultural, Multinational Confirmatory Study","volume":"6","author":"Green D. 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