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Patient education in the management of coronary heart disease

2011· review· en· W4252065901 on OpenAlexaff
James Brown, Alexander M. Clark, Hayes Dalal, Karen Welch, Rod S Taylor

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2011
Typereview
Languageen
Field
Topic
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineMEDLINECochrane LibraryPsycINFOCINAHLPhysical therapyPsychological interventionMeta-analysisSystematic reviewRandomized controlled trialQuality of life (healthcare)Internal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Cardiac rehabilitation (CR) is a complex multifaceted intervention consisting of three core modalities: education, exercise training and psychological support. Whilst exercise and psychological interventions for patients with coronary heart disease (CHD) have been the subject of Cochrane systematic reviews, the specific impact of the educational component of CR has not previously been investigated. OBJECTIVES: 1. Assess effects of patient education on mortality, morbidity, health-related quality of life (HRQofL) and healthcare costs in patients with CHD.2. Explore study level predictors of the effects of patient education (e.g. individual versus group intervention, timing with respect to index cardiac event). SEARCH METHODS: The following databases were searched: The Cochrane Library, (CENTRAL, CDSR, DARE, HTA, NHSEED), MEDLINE (OVID), EMBASE (OVID), PsycINFO (EBSCOhost) and CINAHL (EBSCOhost). Previous systematic reviews and reference lists of included studies were also searched. No language restrictions were applied. SELECTION CRITERIA: 1. Randomised controlled trials (RCTs) where the primary interventional intent was education.2. Studies with a minimum of six-months follow-up and published in 1990 or later.3. Adults with diagnosis of CHD. DATA COLLECTION AND ANALYSIS: Two review authors selected studies and extracted data. Attempts were made to contact all study authors to obtain relevant information not available in the published manuscript. For dichotomous variables, risk ratios and 95% confidence intervals (CI) were derived for each outcome. For continuous variables, mean differences and 95% CI were calculated for each outcome. MAIN RESULTS: Thirteen RCTs involving 68,556 subjects with CHD and follow-up from six to 60 months were found. Overall, methodological quality of included studies was moderate to good. Educational 'dose' ranged from a total of two clinic visits to a four-week residential stay with 11 months of follow-up sessions. Control groups typically received usual medical care. There was no strong evidence of an effect of education on all-cause mortality (Relative Risk (RR): 0.79, 95% CI 0.55 to 1.13), cardiac morbidity (subsequent myocardial infarction RR: 0.63, 95% CI 0.26 to 1.48, revascularisation RR: 0.58, 95% CI 0.19 to 1.71) or hospitalisation (RR: 0.83, 95% CI:0.65 to 1.07). Whilst some HRQofL domain scores were higher with education, there was no consistent evidence of superiority across all domains. Different currencies and years studies were performed making direct comparison of healthcare costs challenging, although there is evidence to suggest education may be cost-saving by reducing subsequent healthcare utilisation.This review had insufficient power to exclude clinically important effects of education on mortality and morbidity of patients with CHD. AUTHORS' CONCLUSIONS: We did not find strong evidence that education reduced all cause mortality, cardiac morbidity, revascularisation or hospitalisation compared to control. There was some evidence to suggest that education may improve HRQofL and reduce overall healthcare costs. Whilst our findings are generally supportive of current guidelines that CR should include not only exercise and psychological interventions, further research into education is needed.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

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 head0.121
GPT teacher head0.389
Teacher spread0.267 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations126
Published2011
Admission routes1
Has abstractyes

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