Referral to Community-Based Rehabilitation Following Acute Stroke: Findings From the COMPASS Pragmatic Trial

Author:

Jones Berkeley Sara B.1ORCID,Johnson Anna M.1ORCID,Mormer Elizabeth R.2,Ressel Kristin2ORCID,Pastva Amy M.3ORCID,Wen Fang1,Patterson Charity G.24ORCID,Duncan Pamela W.4ORCID,Bushnell Cheryl D.ORCID,Zhang Shuqi1,Freburger Janet K.2ORCID

Affiliation:

1. Department of Epidemiology, University of North Carolina at Chapel Hill, Gillings School of Global Public Health (S.B.J.B., A.M.J., F.W., S.Z.).

2. Department of Physical Therapy, University of Pittsburgh, School of Health and Rehabilitation Sciences (E.R.M., K.R., C.G.P., J.K.F.).

3. Department of Orthopaedic Surgery, Doctor of Physical Therapy Division and Center for the Study of Aging and Human Development, Duke University School of Medicine (A.M.P.).

4. Department of Neurology, Wake Forest School of Medicine (P.W.D., C.D.B.).

Abstract

BACKGROUND: Few studies on care transitions following acute stroke have evaluated whether referral to community-based rehabilitation occurred as part of discharge planning. Our objectives were to describe the extent to which patients discharged home were referred to community-based rehabilitation and identify the patient, hospital, and community-level predictors of referral. METHODS: We examined data from 40 North Carolina hospitals that participated in the COMPASS (Comprehensive Post-Acute Stroke Services) cluster-randomized trial. Participants included adults discharged home following stroke or transient ischemic attack (N=10  702). In this observational analysis, COMPASS data were supplemented with hospital-level and county-level data from various sources. The primary outcome was referral to community-based rehabilitation (physical, occupational, or speech therapy) at discharge. Predictor variables included patient (demographic, stroke-related, medical history), hospital (structure, process), and community (therapist supply) measures. We used generalized linear mixed models with a hospital random effect and hierarchical backward model selection procedures to identify predictors of therapy referral. RESULTS: Approximately, one-third (36%) of stroke survivors (mean age, 66.8 [SD, 14.0] years; 49% female, 72% White race) were referred to community-based rehabilitation. Rates of referral to physical, occupational, and speech therapists were 31%, 18%, and 10%, respectively. Referral rates by hospital ranged from 3% to 78% with a median of 35%. Patient-level predictors included higher stroke severity, presence of medical comorbidities, and older age. Female sex (odds ratio, 1.24 [95% CI, 1.12–1.38]), non-White race (2.20 [2.01–2.44]), and having Medicare insurance (1.12 [1.02–1.23]) were also predictors of referral. Referral was higher for patients living in counties with greater physical therapist supply. Much of the variation in referral across hospitals remained unexplained. CONCLUSIONS: One-third of stroke survivors were referred to community-based rehabilitation. Patient-level factors predominated as predictors. Variation across hospitals was notable and presents an opportunity for further evaluation and possible targets for improved poststroke rehabilitative care. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02588664.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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