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Record W2979731197 · doi:10.1093/ptj/pzz149

Eligibility, Enrollment, and Completion of Exercise-Based Cardiac Rehabilitation Following Stroke Rehabilitation: What Are the Barriers?

2019· article· en· W2979731197 on OpenAlexaffabout
Susan Marzolini, Karen Fong, David Jagroop, Jennifer Neirinckx, Jean Liu, Rina Reyes, Sherry L. Grace, Paul Oh, Tracey J. F. Colella

Bibliographic record

VenuePhysical Therapy · 2019
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsHeart and Stroke FoundationToronto Rehabilitation InstituteYork UniversityUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineRehabilitationPhysical therapyStroke (engine)DemographicsLogistic regressionProspective cohort studyDemographySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: People after stroke benefit from comprehensive secondary prevention programs including cardiac rehabilitation (CR), yet there is little understanding of eligibility for exercise and barriers to use. OBJECTIVE: The aim of this study was to examine eligibility for CR; enrollment, adherence, and completion; and factors affecting use. DESIGN: This was a prospective study of 116 consecutive people enrolled in a single outpatient stroke rehabilitation (OSR) program located in Toronto, Ontario, Canada. METHODS: Questionnaires were completed by treating physical therapists for consecutive participants receiving OSR and included reasons for CR ineligibility, reasons for declining participation, demographics, and functional level. CR eligibility criteria included the ability to walk ≥100 m (no time restriction) and the ability to exercise at home independently or with assistance. People with or without hemiplegic gait were eligible for adapted or traditional CR, respectively. Logistic regression analyses were used to examine factors associated with use indicators. RESULTS: Of 116 participants receiving OSR, 82 (70.7%) were eligible for CR; 2 became eligible later. Sixty (71.4%) enrolled in CR and 49 (81.7%) completed CR, attending 87.1% (SD = 16.6%) of prescribed sessions. The primary reasons for ineligibility included being nonambulatory or having poor ambulation (52.9%; 18/34 patients) and having severe cognitive deficits and no home exercise support (20.6%; 7/34). Frequently cited reasons for declining CR were moving or travel out of country (17.2%; 5/29 reasons), lack of interest (13.8%; 4/29), transportation issues (10.3%; 3/29), and desiring a break from therapy (10.3%; 3/29). In a multivariate analysis, people who declined CR were more likely to be women, have poorer attendance at OSR, and not diabetic. Compared with traditional CR, stroke-adapted CR resulted in superior attendance (66.1% [SD = 22.9%] vs 87.1% [SD = 16.6%], respectively) and completion (66.7% vs 89.7%, respectively). The primary reasons for dropping out were medical (45%) and moving (27%). LIMITATIONS: Generalizability to other programs is limited, and other, unmeasured factors may have affected outcomes. CONCLUSIONS: An OSR-CR partnership provided an effective continuum of care, with approximately 75% of eligible people participating and more than 80% completing. However, just over 1 of 4 eligible people declined participation; therefore, strategies should target lack of interest, transportation, women, and people without diabetes. An alternative program model is needed for people who have severe ambulatory or cognitive deficits and no home exercise support.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.299
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2019
Admission routes2
Has abstractyes

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