Design and rationale for a pragmatic cluster randomized trial of the Cardiovascular Health Awareness Program (CHAP) for social housing residents in Ontario and Quebec, Canada
Bibliographic record
Abstract
BACKGROUND: The Cardiovascular Health Awareness Program (CHAP) uses volunteers to provide cardiovascular disease (CVD) and diabetes screening in a community setting, referrals to primary care providers, and locally available programs targeting lifestyle modification. CHAP has been adapted to target older adults residing in social housing, a vulnerable segment of the population. Older adults living in social housing report poorer health status and have a higher burden of a multitude of chronic illnesses, such as CVD and diabetes. The study objective is to evaluate whether there is a reduction in unplanned CVD-related Emergency Department (ED) visits and hospital admissions among residents of social seniors' housing buildings receiving the CHAP program for 1 year compared to residents in matched buildings not receiving the program. METHODS/DESIGN: This is a pragmatic, cluster randomized controlled trial in community-based social (subsidized) housing buildings in Ontario and Quebec. All residents of 14 matched pairs (intervention/control) of apartment buildings will be included. Buildings with 50-200 apartment units with the majority of residents aged 55+ and a unique postal code are included. All individuals residing within the buildings at the start of the intervention period are included (intention to treat, open cohort). The intervention instrument consists of CHAP screens for high blood pressure using automated blood pressure monitors and for diabetes using the Canadian Diabetes Risk (CANRISK) assessment tool. Monthly drop-in sessions for screening/monitoring are held within a common area of the building. Group health education sessions are also held monthly. Reports are sent to family doctors, and attendees are encouraged to visit their family doctor. The primary outcome measure is monthly CVD-related ED visits and hospitalizations over a 1-year period post randomization. Secondary outcomes are all ED visits, hospitalizations, quality of life, cost-effectiveness, and participant experience. DISCUSSION: It is anticipated that CVD-related ED visits and hospitalizations will decrease in the intervention buildings. Using the volunteer-led CHAP program, there is significant opportunity to improve the health of older adults in social housing. TRIAL REGISTRATION: ClinicalTrials.gov,NCT03549845. Registered on 15 May 2018. Updated on 21 May 2019.
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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 | 0.017 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".