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Record W2150695407 · doi:10.1177/2047487314544084

On-site programmatic attendance to cardiac rehabilitation and the healthy-adherer effect

2014· article· en· W2150695407 on OpenAlexaffabout
David A. Alter, Brandon Zagorski, Susan Marzolini, Mary Forhan, Paul Oh

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of AlbertaInstitute for Clinical Evaluative SciencesToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineAttendanceRehabilitationHazard ratioBody mass indexPhysical therapyConfidence intervalCohort studyProportional hazards modelCohortEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: On-site attendance to prescheduled cardiac rehabilitation visits has been shown to be associated with improved outcomes following cardiac rehabilitation. The extent to which on-site programmatic attendance represents a healthy-adherer effect remains unknown. METHODS: This retrospective cohort study consisted of 17,000 consecutively referred patients to a cardiac rehabilitation program in Ontario, Canada. On-site attendance at prescheduled visits was our primary exposure variable. The primary outcome was all-cause death or hospitalization at two years following the expected program completion date, irrespective of drop-out. Secondary outcomes included adherence to statins, health-seeking preventative health visits, and changes in clinical risk-profiles. Cox proportional hazards adjusted for baseline sociodemographic, clinical and comorbid characteristics. RESULTS: Among the 12,440 patients who attended at least one prescheduled on-site visit, on-site attendance was inversely correlated with baseline smoking rates and body mass index at program entry. After adjustment for baseline factors, the risk of death or hospitalization progressively fell with incremental increases in on-site attendance (adjusted hazard ratio for each 10% increase in on-site attendance: 0.96; 95% confidence interval: 0.93-0.99, p = 0.007). Such associations were driven predominantly by differences in non-cardiovascular hospitalizations. Incremental increases in on-site attendance were associated with improvements in cardiopulmonary fitness and body mass index (both p < 0.001), better attendance of preventative care physician visits (p < 0.001) and higher medication adherence to statins (p = 0.007). CONCLUSIONS: Associations between on-site attendance at cardiac rehabilitation and outcomes may represent a healthy-adherer effect. Future research must evaluate the clinical utility of on-site attendance as a behavioral health-adherence metric for cardiac rehabilitation monitoring and surveillance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.296
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), 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
Published2014
Admission routes2
Has abstractyes

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