A primary care cardiovascular risk reduction clinic in Canada was more effective and no more expensive than usual on-demand primary care - a randomised controlled trial
Bibliographic record
Abstract
The objective of this randomised controlled trial was to compare the effects and expense of three approaches to care (1) proactive cardiovascular risk reduction (CaRR) clinic; (2) nurse telephone calls; or (3) usual care for people with cardiovascular risk factors in a Primary Care, Health Service Organisation (HSO) in Ontario, Canada. Subjects included consenting patients with an identified cardiovascular disease (CVD) risk factor identified from the HSO computerised patient information system in 2004. Patients were excluded if they were mentally incompetent, <18 years of age, in a nursing home, or not English speaking. Of 1570 eligible subjects, 523 (33.3%) verbally declined, 145 (9.2%) could not be contacted, and 249 (15.9%) were not needed. The final sample size was 653 (41.6%), 634 completed the follow-up (97%). The Cardiovascular Risk Score, Health and Social Service Utilisation, Montgomery-Asberg Depression Rating, Billings and Moos Indices of Coping, Personal Resource and Self-Efficacy Questionnaires were measured at baseline and 1-year follow-up by clinical examination and telephone interview. Cardiovascular risk scores were reduced in all treatment groups after 1 year. The proportions of subjects showing reduction in risk score greater than or equal to 10% was greatest in the CaRR group (69.2%) compared with Nurse Phone intervention (57.8%) and Usual Care (59.0%) (M-Hchi(2) = 4.33, df = 1, P = 0.037, CaRR-Usual Care). Self-efficacy scores showed the greatest improvements in the CaRR clinic. This effect was achieved with no significant difference in total person per annum costs for direct and indirect health and social service utilisation between all three groups. A CaRR clinic is more effective in reducing CVD risk after 1 year compared with nurse phone intervention and usual care with no additional expense found.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".