{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T19:49:09Z","timestamp":1791834549013,"version":"4.3.4"},"reference-count":34,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["WORK: A Journal of Prevention, Assessment &amp; Rehabilitation"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Work-related musculoskeletal disorders (WMSD) are major occupational injury and sick leave drivers in healthcare settings. However, predictive approaches for identifying high-risk worker profiles and estimating sick leave duration remain limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To identify risk profiles associated with WMSD-related sick leave among hospital staff and predict both the occurrence and duration of sick leave using classification tree models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A retrospective observational study was conducted using 705 overexertion-related WMSD incidents reported during 2021\u20132024 in three tertiary public hospitals. Classification and Regression Tree models were developed to predict sick leave occurrence and duration based on sociodemographic, organisational, and task-related variables. Model performance was evaluated using 10-fold cross-validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Sick leave occurred in 64.8% of cases, with task type, age, work shift, and anatomical region affected being the main predictors. Meanwhile, medium-term absences (10\u201329 days) accounted for 24.5% of cases, with age and hospital unit being the strongest predictors of duration. The models achieved an overall accuracy of 68.1% and 60% for predicting sick leave occurrence and duration, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Classification tree models provide an interpretable and practical approach for predicting WMSD-related sick leave in hospital settings. The identified risk profiles may support targeted ergonomic interventions and preventive strategies in healthcare environments.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10519815261489557","type":"journal-article","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T12:21:23Z","timestamp":1791548483000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Predicting musculoskeletal sick leave in tertiary hospital staff using classification trees for targeted ergonomic intervention"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5731-9237","authenticated-orcid":false,"given":"Neus","family":"Alcaide","sequence":"first","affiliation":[{"name":"Universitat Oberta de Catalunya"},{"name":"Department of Human Resources, Hospital Universitari Germans Trias i Pujol, Badalona (Barcelona), Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2647-2041","authenticated-orcid":false,"given":"Xavier","family":"Baraza","sequence":"additional","affiliation":[{"name":"Universitat Oberta de Catalunya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6653-224X","authenticated-orcid":false,"given":"Gemma","family":"Combe","sequence":"additional","affiliation":[{"name":"Hospital Universitari Vall d'Hebron"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3629-6475","authenticated-orcid":false,"given":"August","family":"Corrons","sequence":"additional","affiliation":[{"name":"Universitat Oberta de Catalunya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0020-1796","authenticated-orcid":false,"given":"Pilar","family":"Ficapal-Cus\u00ed","sequence":"additional","affiliation":[{"name":"Universitat Oberta de Catalunya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3796-4441","authenticated-orcid":false,"given":"Isabel","family":"Nos","sequence":"additional","affiliation":[{"name":"Universitat Oberta de Catalunya"},{"name":"Hospital Universitari de Bellvitge"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,9]]},"reference":[{"key":"e_1_3_3_2_2","unstructured":"WHO \u2013 World Health Organization. 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