Preliminary investigation of the student-delivered Community Outreach teleheAlth program for Covid education and Health promotion (COACH)
Bibliographic record
Abstract
BACKGROUND: COVID-19 public health restrictions (i.e. physical distancing) compromise individuals' ability to self-manage their health behaviours and may increase the risks of adverse health events. OBJECTIVES: To evaluate the student-delivered Community Outreach teleheAlth program for Covid education and Health promotion (COACH) on health-directed behaviour (self-management) among older adults (≥65 years of age, n = 75). Secondary objectives estimated the influence of COACH on perceived depression, anxiety, and stress; social support; health-related quality of life; health promotion self-efficacy; and other self-management domains. METHODS: COACH was developed to provide chronic disease management and prevention support among older adults via telephone or videoconferencing platforms (i.e. Zoom). In this single-group, pre-post study, our primary outcome was measured using the health-directed behaviour subscale of the Health Education Impact Questionnaire. Secondary measures included the Depression, Anxiety and Stress Scale, Medical Outcomes Study: Social Support Survey, MOS Short Form-36, and Self-Rated Abilities for Health Practices Scale. Paired sample t-tests were used to analyse outcome changes. RESULTS: Mean age of participants was 72.4 years (58.7% female; 80% ≥2 chronic conditions). Health-directed behaviour significantly improved after COACH (P < 0.001, d = 0.45). Improved health promotion self-efficacy (P < 0.001, d = 0.44) and decreased mental health were also observed (P < 0.001, d = -1.69). DISCUSSION: COACH likely contributed to improved health-directed behaviour and health promotion self-efficacy despite the diminished mental health-related quality of life during COVID-19. Our findings also highlight the benefits of using health professional students for the delivery of virtual health promotion programs. CLINICAL TRIAL INFORMATION: ClinicalTrials.gov ID: NCT04492527.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".