Patient education interventions for health behaviour change in adults diagnosed with coronary heart disease: A protocol for a systematic review and meta‐analysis
Bibliographic record
Abstract
AIM: To assess the efficacy of structured patient education on disease-related knowledge and health behaviour change outcomes in adults with coronary heart disease. DESIGN: Systematic review and meta-analyses including meta-regression on education duration. METHODS: Seven databases (including Medline, Pubmed (non-Medline), CINAHL, PsycINFO, Embase, Emcare and Cochrane central register of controlled trials) will be searched from inception through 2020 to identify relevant randomized controlled trials testing interventions to improve health behaviours and disease-related knowledge in adults with coronary heart disease. Risk for bias will be assessed using the Cochrane Risk for Bias tool. Data will be synthesized using random-effects meta-analyses in Comprehensive Meta-Analysis Version 3. Heterogeneity will be assessed using Cochrane's Q statistic and the I-squared statistic will be reported. Meta-regression will be used to determine the effect of intervention duration. Publication bias will be assessed using funnel plots and Egger's test and which will be adjusted by conducting the trim-and-fill test when necessary. Funding for this project began in March 2020. DISCUSSION: We will examine knowledge and behaviour outcomes including physical activity, dietary habits, smoking and medication adherence for patients with coronary heart diseases. This review will be the most comprehensive meta-analysis of structured patient education interventions to date and the first to analyse the effect of education duration. IMPACT: The efficacy of patient education on knowledge and behaviour outcomes for patients with coronary heart diseases has not yet been established. This systematic review will determine the efficacy of structured patient education on knowledge and behaviour outcomes and determine whether the duration of patient education influences patient outcomes and thus guide intervention design. PROSPERO registration Number: CRD42020173467.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.059 | 0.083 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.019 | 0.034 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.051 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".