Post-Acute Rehabilitation Placement After Acute Ischemic Stroke Is Associated With Non-Clinical Factors Despite Similar Clinical Profiles
Hayes, H. A.; Zhang, C.; Xiang, S.; Smith, B.; Williams, P.; Presson, A.; French, M. A.
Show abstract
BackgroundDischarge destination after acute ischemic stroke has implications for functional recovery and healthcare costs. Individuals discharged to inpatient rehabilitation facilities (IRFs) achieve better outcomes than those discharged to skilled nursing facilities (SNFs); however, many patients discharged to IRFs and SNFs have similar clinical profiles. We examined non-clinical factors associated with discharge location after acute ischemic stroke. MethodsPopulation: 236 adults hospitalized with acute ischemic stroke, living independently in the community prior to admission, and discharged to either an IRF (n=171) or SNF (n=65). Clinical variables: NIHSS, Charlson Comorbidity Index (CCI), acute care length of stay (LOS), functional status (AM-PAC "6-Clicks"), and neglect. Non-clinical variables: age, sex, race, marital status, insurance, home layout, living status, and available assistance. Associations with discharge location were evaluated using univariable and multivariable logistic regression and reported as odds ratios (OR) with 95% confidence intervals (CI). ResultsIndividuals discharged to IRFs were younger, more likely to cohabitate, and had shorter LOS than those discharged to SNFs. Functional status (AM-PAC) and comorbidity burden (CCI) did not differ significantly between groups despite differences in discharge destination. In univariable models, younger age, cohabitating marital status, living with family, available assistance, shorter LOS, private insurance, and higher NIHSS were associated with greater odds of IRF discharge. In multivariable analysis, younger age (OR 0.94, 95% CI 0.91-0.98), cohabitating marital status (OR 2.46, 95% CI 1.13-5.48), and shorter LOS (OR 0.88, 95% CI 0.82-0.93) remained independently associated with IRF discharge. ConclusionsIndividuals with comparable pre-stroke independence and similar clinical severity, discharge to IRF versus SNF was independently associated with non-clinical factors; age, marital status, and LOS, whereas stroke severity and functional status were not significant predictors. These findings underscore the importance of evidence-informed discharge criteria integrating clinical indicators and social context to support equitable access to intensive rehabilitation after stroke.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Documented Goals of Care Conversations with Hospitalized Patients after Severe Stroke 96%
- Modified Rankin Scale Disability Status at Day 4 Poststroke is an Informative Predictor of Long-Term Day 90 Outcome 96%
- Usage of Mineralocorticoids and Isotonic Crystalloids in Subarachnoid Hemorrhage Patients in the United States 94%
Similar papers in this journal
Similar papers in this journal
- Characterizing upper extremity motor behavior in the first week after stroke 94%
- The whole day matters after stroke: Study protocol for a randomized controlled trial investigating the effect of a 'sit less, move more, sleep better program early after stroke 93%
- Leveraging Machine Learning for Enhanced and Interpretable Risk Prediction of Venous Thromboembolism in Acute Ischemic Stroke Care 92%
Similar papers in this journal
- When two communication differences intersect: Comparing inpatient rehabilitation care and outcomes for people with post-stroke aphasia who do and do not require an interpreter 96%
- Intracerebral Hemorrhage Outcomes after Reversal of Subtherapeutic Warfarin: Analysis of Data from GWTG-Stroke 95%
- Longitudinal trajectories of global and domain-specific cognition after stroke using the Oxford Cognitive Screen 94%
Similar papers in this journal
- Effectiveness and Cost-Effectiveness of TeleStroke Consultations to Support the Care of Stroke Patients Presenting to Regional Emergency Departments in Western Australia: An Economic Evaluation Case Study Protocol 93%
- Measurement of quality of stroke care with national electronic health records: a cohort during and after the COVID-19 pandemic 92%
- Outcome Disparities by Insurance Plan and Educational Attainment in Patients with Atrial Fibrillation 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.