Web-Based Nursing Intervention to Promote Physical Activity Among Older Adults After Coronary Revascularization: Protocol for Mixed Method Pilot Study
Bibliographic record
Abstract
BACKGROUND: Given the high prevalence of coronary heart disease among older adults and aging populations, there is a need for secondary prevention interventions to help older adults become more physically active. Web-based interventions could be considered for this purpose, knowing that internet use is growing rapidly among older adults. In addition, since older adults would appreciate developing a trusting relationship with a nurse, web-based interventions should include this support, which is not widely observed in the literature. OBJECTIVE: This study aims to evaluate a web-based nursing intervention aimed at promoting physical activity in people 65 years and older with coronary heart disease. METHODS: A web-based nursing intervention was developed according to the Intervention Mapping framework in collaboration with a team of health care professionals (n=5) and based on the needs of older adults (n=10). The 7-week intervention (1 session per week) aims to support older adults living with coronary artery disease in resuming, maintaining, or increasing their level of physical activity after coronary bypass surgery or percutaneous coronary intervention. The intervention offers educational content on coronary heart disease and physical activity, suggestions for physical activity, reflective activities, case histories of older adults who have experienced different journeys, an electronic physical activity diary to track progress, and support from a nurse through feedback to increase knowledge, motivation, and sense of self-efficacy. The preliminary effects and impacts of the intervention will be assessed through a mixed method pilot study with a sequential explanatory design. First, a single-group pre-post test will be used to assess the intervention's preliminary effects on physical activity (electronic journal), quality of life (36-Item Short Form Health Survey version 2), knowledge (quiz), motivation, and self-efficacy (visual analog scale) of 30 older adults living with coronary heart disease, as well as the feasibility of the intervention. Second, a descriptive qualitative design will use semistructured interviews to assess the intervention's impacts as perceived by 8-12 older adults and its acceptability. Quantitative data on the effects of the intervention will be integrated with the collection and analysis of qualitative data to assess the impact perceived by older adults, using matrices. Nonparametric statistics and a thematic analysis will be produced. A joint display will be used to integrate mixed data. RESULTS: The results of this study will provide insight into the preliminary evaluation of a web-based nursing intervention to support older adults living with coronary heart disease as they increase their physical activity levels. The recruitment commenced in June 2024, and data collection should be completed by June 2025. CONCLUSIONS: With the potential to promote older adults' health, this study could guide the development of new interventions to meet the needs of an aging population. TRIAL REGISTRATION: ClinicalTrials.gov NCT06197347; https://clinicaltrials.gov/study/NCT06197347. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/67678.
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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 | 0.026 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.040 | 0.008 |
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".