Periodic health visits by primary care practice model, a population-based study using health administrative data
Bibliographic record
Abstract
BACKGROUND: The general health check, which includes the periodic health visit and annual physical exam, is not recommended to maintain the health of asymptomatic adults with no risk factors. Different funding mechanisms for primary care may be associated with the provision of service delivery according to recommended guidelines. We sought to determine how use of the periodic health visit for healthy individuals without comorbidities, despite evidence against its use, differed by primary care model. METHODS: Population-based cross-sectional study using linked health and administrative datasets in Ontario, Canada, where most residents are insured for physician services through Ontario's single payer, provincially funded Ontario Health Insurance Plan. Participants included all living adults (> 19 years) in Ontario on January 1st, 2014, eligible for the Ontario Health Insurance Plan. Primary care enrollment model was the main exposure and included traditional fee-for-service, enhanced fee-for-service, capitation, team-based care, other (including salaried), and unenrolled. The main outcome measure was receipt of a periodic health visit during 2014. Age-sex standardized rates of periodic health visits performed during the one-year study period were analyzed by number of comorbid conditions. RESULTS: Of 10,712,804 adults in Ontario, 2,350,386 (21.9%) had a periodic health visit in 2014. The age-sex standardized rate was 6.1% (95% confidence interval [CI] 6.0, 6.1%) for healthy individuals. In the traditional fee-for-service model, the periodic health visit was performed for 55.3% (95% CI 54.4, 56.3%) of healthy individuals versus 10.2% (95% CI 10.0, 10.3%) in team-based care. Periodic health visit rates varied by primary care provider models. Traditional and enhanced fee-for-service models had higher rates across all comorbidity groups. CONCLUSIONS: Patients whose primary care physicians are funded exclusively through fee-for-service had the highest rates of periodic health visits in healthy individuals. Primary care reform initiatives must consider the influence of remuneration on providing evidence-based primary care.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".