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Record W4385342831 · doi:10.1093/eurjcn/zvad064.118

Improving secondary prevention knowledge in immigrants after a heart attack: adapting and evaluating a virtual patient education resource to promote behaviour change

2023· article· en· W4385342831 on OpenAlexaff
Wendan Shi, Ling Zhang, Gabriela L. M. Ghisi, Lise Panaretto, Richard Gallagher

Bibliographic record

VenueEuropean Journal of Cardiovascular Nursing · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsMedicineIntervention (counseling)Patient educationHealth literacyRehabilitationPhysical therapyImmigrationHeart diseaseFamily medicineHealth careGerontologyNursingInternal medicine

Abstract

fetched live from OpenAlex

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.320
Teacher spread0.287 · 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 designOther design
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
Published2023
Admission routes1
Has abstractyes

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