ArticleArchives of physical medicine and rehabilitation2026
Unveiling the Impact of Occupational Therapy on Acute Care Outcomes: A Machine Learning Approach.
Article in Archives of physical medicine and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
objectiveTo examine the effects of occupational therapy (OT) services on patient discharge outcomes.
designThis is a retrospective cohort study. We developed decision tree algorithms to investigate how 3 measures of OT service delivery-(1) the total number of completed OT visits, (2) the total minutes of all completed OT visits, and (3) the proportion of hospitalized days that included an OT visit (frequency)-affect outcomes.
settingAcute care settings.
participantsThe target population was patients admitted to and discharged from the Cleveland Clinic between 2017 and 2021, who received at least 1 OT session and stayed in the hospital for <30 days, with an orthopedic physician designated as the primary treating provider (N=36,300).
interventionsNot applicable.
main outcome measuresReduced 30-day readmission rates, increased rates of home discharge, and improved daily activity abilities after hospital discharge.
resultsOur prediction models for predicting our outcomes showed good to excellent performance metrics (accuracy, 0.69-0.91). Our model demonstrated that variations in the total number, minutes, or frequency of OT sessions are associated with the likelihood of readmission within 30 days after hospital discharge and minimal detectable improvements in daily activities for subgroups of patients with orthopedic conditions.
conclusionsOur study suggests that the effective use of limited OT services may require prioritizing certain subgroups of patients for providing more frequent OT sessions to optimize the impact of OT services on patient outcomes.
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