Development of a community health and wellness pilot in a subsidised seniors’ apartment building in Hamilton, Ontario: Community Health Awareness Program delivered by Emergency Medical Services (CHAP-EMS)
Bibliographic record
Abstract
BACKGROUND: Older adults have higher risk of developing cardiovascular disease, diabetes and falls, leading to costly emergency medical service (EMS) calls and emergency room visits. We developed the Community Health Assessment Program through EMS (CHAP-EMS) that focuses on health promotion/prevention of hypertension and diabetes, links with primary care practitioners, targets seniors living in subsidized housing, and aims to reduce morbidity from these conditions, thereby reducing EMS calls. In this pilot study, we evaluated the feasibility of implementing the CHAP-EMS, attendance rates, prevalence of high blood pressure and cardiovascular risk factors. METHODS: In this pilot study the CHAP-EMS was implemented in the intervention site over a 12 month period. BP, lifestyle, cardiovascular risk and EMS call rates were collected and descriptive analyses performed. Participants were residents (low income seniors) of a subsidized housing complex in Hamilton, Ontario. Two paramedics provided once-weekly sessions, measuring BP, assessing diabetes/lifestyle risk (CANRISK questionnaire) and discussed prevention/local wellness activities in the intervention site. Follow up was invited. RESULTS: A total of 1365 visits with 79 unique participants occurred; 48 (25.2%) visited at least twice; mean age was 72.2; 87.2% were 65 years of age and older and 68.1% were female; 90.3% had a family doctor. Overall, 45.2% had elevated BP initially from the total; 50.0% of participants previously diagnosed with hypertension had elevated BP while 33.3% not previously diagnosed had elevated BP. Almost 1 in 5 (19.4%) had diabetes; 66.7% had moderate to high risk of developing diabetes. CONCLUSION: This pilot study indicates that CHAP-EMS is a feasible program that could have impact on BP, lifestyle factors, diabetes risk and EMS calls in the buildings in which it was implemented.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".