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Predictors of Enrollment in Cardiac Rehabilitation Programs in Spain

2015· article· en· W857228719 on OpenAlexaff
Saioa Chamosa, José Antonio Alarcón, Miren Dorronsoro, Francisco Javier Madruga Saavedra, Javier Mohigefer Barrera, X. Arrazola, Patxi de la Cuesta, M. E. Alkiza, José María Begiristáin, Iñaki Carrera, Jesús María San Vicente

Bibliographic record

VenueJournal of Cardiopulmonary Rehabilitation and Prevention · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsCarré Technologies (Canada)
Fundersnot available
KeywordsMedicineReferralRehabilitationMyocardial infarctionPopulationLogistic regressionAcute coronary syndromePhysical therapyEmergency medicineInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

In Brief PURPOSE: Cardiac rehabilitation (CR) is very effective for secondary prevention of cardiovascular disorders. The objective of this study was to analyze population factors associated with nonenrollment of cardiac patients in these programs. METHODS: Retrospective study of 756 patients referred to the cardiac rehabilitation program (CRP) of a tertiary referral hospital with a service area population of more than 640 000 from January 2009 to June 2012. We assessed the relationship between population characteristics of these patients and nonenrollment by logistic regression analysis. RESULTS: There were 2386 hospital admissions for an acute coronary syndrome during the study period. Out of the 2355 patients who were alive at discharge, 756 (632 men and 124 women) were referred for CR (32.1% vs 3% state average and vs 51% European average). Of these patients, 20.9% did not enroll. The referral rate was lower among women than among men (P < .001). The characteristics associated with a lower rate of enrollment in the program were age (OR: 1.05; 95% CI: 1.02-1.09), living alone (OR: 4.54; 95% CI: 2.53-8.16), living further than 50 km from the CR unit (OR: 2.90; 95% CI: 1.29-6.41) and, in women, having a history of cardiovascular disease (recurrent myocardial infarction) (OR: 6.35; 95% CI: 2.53-11.81). CONCLUSIONS: The rate of referral for CR in our setting is well above the national average but still could be improved. We identified older age, living alone, travel distance to the cardiac rehabilitation unit, and, in women, a history of a previous myocardial infarction as barriers to enrollment in CRPs. Cardiac rehabilitation programs are very effective for secondary prevention. The aim of this study was to analyze population factors associated with nonenrollment of referred cardiac patients in the program. We identified older age, living alone, history of myocardial infarction, and travel distance to the cardiac rehabilitation unit as barriers to enrollment.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.321
Teacher spread0.295 · 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".

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Citations28
Published2015
Admission routes1
Has abstractyes

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