Abstract EP55: Qualitative Evaluation Of Older Adult Participants Of A Community Outreach Telehealth Program For Covid Education And Health Promotion (Coach)
Bibliographic record
Abstract
Background: Chronic diseases are prevalent in Canada’s aging population (≥65 years). Positive health behaviours (e.g., physical activity, healthy diet) are critical for the management of chronic diseases (e.g., stroke, heart disease). However, novel coronavirus (COVID-19) prevention strategies of quarantining, social isolation, and physical distancing may compromise one's ability to manage health and engage in daily activities, possibly increasing risk of adverse health events. The Community Outreach teleheAlth program for Covid education and Health promotion (COACH) program has demonstrated an increase in health promoting behaviours, but little is known about participants’ experiences in participating in the program. The program entailed six telehealth sessions over two months that focused on health coaching, behaviour change, and COVID education. The objectives of this study were to describe: (1) chronic disease prevention and management strategies of older adults (≥65 years of age) during COVID-19; and (2) participants’ experience in COACH sessions delivered by medical students at the University of British Columbia. Methods: Twenty-four COACH participants participated in semi-structured interviews that were conducted through Zoom videoconferencing. Interview questions focused on how participants managed their own health before and during COVID-19. Qualitative description was the guiding methodological framework. Interviews were transcribed verbatim and analyzed thematically. Findings: Participants’ mean age was 73.4 years (58% female) with 75% reporting two or more chronic conditions (e.g., stroke, heart disease, coronary artery disease, diabetes, heart attack). Three themes described participants’ prevention and management strategies, including: i) having a purpose for optimizing health; ii) using internal self-control strategies; and iii) leveraging external support strategies. COACH further supported participants during COVID-19, as represented through coach interactions as well as knowledge and skill development. Conclusion: Findings suggest that older adults engage in internal self-control strategies and external support means to manage current chronic conditions and promote health and well-being. Health professional program students have a potential role in health promotion and in assuming the role of coach in telehealth promotion programs for older adults.
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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 | 0.024 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".