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Record W4229061293 · doi:10.1177/0272684x221080119

Preliminary Effects of a Structured Educational Program in Cardiac Patients at Different Stages of Enrollment in Cardiovascular Rehabilitation

2022· article· en· W4229061293 on OpenAlexaff
Rafaella Zulianello dos Santos, Andrea Schaefer Körbes, Christiani Decker Batista Bonin, Ariany Marques Vieira, Marlus Karsten, Magnus Benetti, Paul Oh, Gabriela Lima de Melo Ghisi

Bibliographic record

VenueCommunity Health Equity Research & Policy · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsToronto Rehabilitation InstituteUniversity Health NetworkHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicinePhysical therapyRehabilitationBonferroni correctionTest (biology)Health literacyRandomized controlled trialIntervention (counseling)Physical activityInternal medicineHealth careNursing

Abstract

fetched live from OpenAlex

This quasi-experimental study investigated the preliminary effects of a structured education intervention in a pooled sample of cardiovascular rehabilitation (CR) patients in Brazil. Recently enrolled (RE) and long-term enrolled (LTE) patients attended 12 weekly education sessions in addition to three weekly exercise sessions. Patients completed surveys assessing disease-related knowledge, physical activity, food intake, self-efficacy, and health literacy. Functional capacity was assessed by the 6-minutes walking test. All outcomes were assessed at pre-,post-CR, and 6-months follow-up. Bonferroni correction was applied. In total, 69 (69.7%) patients completed all three assessments. There were significant improvements in knowledge pre-to post-test in both subgroups (p < 0.001), and in functional capacity (p ≤ 0.001) and food intake (p ≤ 0.001) pre-to post-test in the RE subgroup. Post-test knowledge was correlated to physical activity, functional capacity and health literacy. This preliminary study suggests the importance of structured education for CR patients. A larger study using a randomized controlled design is needed to determine efficacy.

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)0.007
metaresearch head score (Gemma)0.002
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 score0.198
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.002
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 head0.066
GPT teacher head0.483
Teacher spread0.417 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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