Predictors of Exceeding Target Inpatient Rehabilitation Length of Stay After Hip Fracture is a research paper published in American Journal of Physical Medicine & Rehabilitation (2020). On theSindex it has a DataRank of 0.780. It has been cited 16 times, with 16 citing works in its 1-hop citation network.
AbstractObjectiveThe aim of the study was to identify factors associated with exceeding a target inpatient rehabilitation length of stay of 28 days or less for individuals with hip fracture.DesignRetrospective cohort study of hip fracture patients admitted to an urban Canadian inpatient rehabilitation facility between January 1, 2013, and January 1, 2018. Patient characteristics previously shown to be associated with individual outcomes and/or length of stay after hip fracture were extracted from the institution’s data warehouse. Regression models were used to examine factors associated with exceeding target length of stay as well as overall length of stay.ResultsFour hundred ninety-three subjects were included in the analysis. Three hundred forty-five (70%) met and 148 (30%) exceeded their target length of stay. Patients who exceeded their target were more likely to be elderly (odds ratio, 1.05; 95% confidence interval, 1.02–1.08), to live alone prefracture (odds ratio, 1.72; 95% confidence interval, 1.02–2.91), to have dementia (odds ratio, 2.79; 95% confidence interval, 1.12–6.97), and higher admission pain scores (severe pain odds ratio, 2.51; 95% confidence interval, 1.06–5.93). Higher admission motor Functional Independence Measure scores (odds ratio, 0.95; 95% confidence interval, 0.92–0.98) were protective.ConclusionsAdvancing age, having dementia, living alone prefracture, and reporting moderate or severe pain at the time of admission not only increased the odds of an individual exceeding their target length of stay but also was associated with an overall increase in length of stay. Conversely, having a higher admission motor Functional Independence Measure score was protective.
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Base Score Contribution
0.425
From this paper's citation signal
Citation Network Contribution
0.355
From 7 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 55% comes from its base citations and 45% from the citation network (7 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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