Why do this research? Survivors don't care about length of stay. They want to know EXACTLY HOW YOU'RE GETTING THEM RECOVERED!
You look at their objective damage diagnosis, which leads to exact protocols to recover from such damage. Then you look at how long it takes survivors to complete those protocols to recovery. Simple, WHY IS NOBODY DOING THAT?
Predictors of patient length of stay post stroke rehabilitation
Thea Bijl, Witness Mudzi, Nicolette Comley-White
DWhy do this researchepartment of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand.
DWhy do this researchepartment of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand.
Abstract
Background: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.
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%).
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.
DOI: https://dx.doi.org/10.4314/ahs.v23i2.63
Cite as: Bijl T, Mudzi W, Comley-White N. Predictors of patient length of stay post stroke rehabilitation. Afri Health Sci. 2023;23(2):543-52.
https://dx.doi.org/10.4314/ahs.v23i2.63
DOI: https://dx.doi.org/10.4314/ahs.v23i2.63
Cite as: Bijl T, Mudzi W, Comley-White N. Predictors of patient length of stay post stroke rehabilitation. Afri Health Sci. 2023;23(2):543-52.
https://dx.doi.org/10.4314/ahs.v23i2.63
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