Improving secondary prevention knowledge in immigrants after a heart attack: adapting and evaluating a virtual patient education resource to promote behaviour change
Bibliographic record
Abstract
Abstract Funding Acknowledgements Type of funding sources: None. Background Coronary heart disease (CHD) is prevalent and recurrent (40%), whereas an estimated 75% of events could be avoided by secondary prevention of modifiable risk factors and healthy lifestyle. Structured in-person secondary prevention and patient education programs are both efficient and effective strategies; however, these programs may not meet immigrants’ care or home-based learning needs, and thus alternative educational models are needed. Purpose To adapt and evaluate the simplified Chinese version of Cardiac College, a co-designed evidence-based virtual patient education resource for heart attack, in Chinese immigrants on secondary prevention knowledge and behaviour change outcomes. Methods A prospective longitudinal pre-post study was undertaken in heart attack survivors recruited from cardiac rehabilitation programs at four metropolitan tertiary hospitals from May 2021 to November 2022. Chinese Cardiac College intervention was adapted and provided education via nine booklets and 10 pre-recorded video sessions structured and delivered to patients for four weeks following hospital discharge. Validated surveys measured health literacy, disease-related knowledge, physical activity, heart-healthy diet, and self-management behaviours at baseline and one to two weeks post-intervention. Acceptability, engagement, and satisfaction were also assessed post-intervention. Results From 81 patients assessed for eligibility, 67 were recruited, and 64 (95.5%) completed the study. The sample was aged mean 67.23 ± 8.12 years, and 81.25% were males. Participants had significant improvement in disease-related knowledge in total and in each domain, with the most improvement identified in medical, followed by exercise and psychological domains (p<0.001) (Table 1). Healthy dietary behaviour and other self-management behaviours also significantly improved (all p<0.05). All participants (100%) self-reported being engaged with the materials, rating content as highly acceptable (n=20, 31.3%) and highly satisfactory (n=30, 46.9%). In addition, most participants reported that the delivered information amount was adequate (n=44, 68.8%), and 26.6% (n=17) found it overwhelming. Conclusion A virtual patient-education intervention adapted for Chinese immigrants (Chinese Cardiac College) significantly improves secondary prevention knowledge and self-care behaviour in heart attack survivors and offers a suitable model for intervention, especially where there are limited bilingual staff or resources. Further testing of randomised controlled trials and multiple populations is required.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".