Predictors of patient length of stay post stroke rehabilitation

dc.contributor.authorBijl, Thea
dc.contributor.authorMudzi, Witness
dc.contributor.authorComley-White, Nicolette
dc.date.accessioned2026-08-28T09:20:48Z
dc.date.issued2023
dc.description.abstractBackground: There is little research on length of hospital stay (LOS) in patients post stroke in South African rehabilitation facilities. As LOS is an important indicator of cost-of-care, this information may be useful to all stakeholders. Objectives: To determine the predictors of hospital LOS in patients post stroke rehabilitation. Methods: A retrospective file review of 243 patients. Results: Patient functional ability was measured using the Functional Independence Measure (FIM). Predictors of LOS were determined with multiple regression analysis. The median admission and discharge FIM scores were 43 (range: 16-119) and 75 (range: 16-120) points respectively. The median LOS was 43 (range: 3-112) days. Predictors of LOS were premorbid psychiatric conditions, impaired speech, requiring oxygen support, the development of pneumonia and admission FIM motor score, with admission FIM motor score being the strongest individual predictor of LOS (41%). Conclusion: Admission FIM score had an influence on patient outcomes and LOS. Patients with higher admission FIM motor scores may be able to participate in rehabilitation better and thus have shorter LOS. Being able to predict LOS on admission allows facility administrators to manage bed occupancy, human and clinical resources in post stroke rehabilitation. Keywords: Length of stay; predictors; rehabilitation; stroke.
dc.description.submitterPM2026
dc.facultyFaculty of Health Sciences
dc.identifier0000-0003-4818-5318
dc.identifier.citationBijl, T., Mudzi, W., & Comley-White, N. (2023). Predictors of patient length of stay post stroke rehabilitation. African health sciences, 23(2), 543–552. https://doi.org/10.4314/ahs.v23i2.63
dc.identifier.issn1680-6905 (print)
dc.identifier.issn1729-0503 (online)
dc.identifier.other10.4314/ahs.v23i2.63
dc.identifier.urihttps://hdl.handle.net/10539/49919
dc.journal.titleAfrican Health Sciences
dc.language.isoen
dc.publisherMakerere University, Faculty of Medicine
dc.relation.ispartofseriesVol. 23; Issue 2
dc.rights© 2023 Bijl T et al. Licensee African Health Sciences. This is an Open Access article distributed under the terms of the Creative commons Attribution License.
dc.schoolSchool of Therapeutic Sciences
dc.subjectLength of stay
dc.subjectPredictors
dc.subjectRehabilitation
dc.subjectStroke
dc.subject.primarysdgSDG-3: Good health and well-being
dc.titlePredictors of patient length of stay post stroke rehabilitation
dc.typeArticle

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