Primary Care in Public Health responses: Essential and Effective. The role and effectivness of Ontario primary care in COVID
Bibliographic record
Abstract
a:2:{s:4:"lang";s:2:"en";s:7:"content";s:2570:" COVID{at}Home was a multifaceted remote clinical care and monitoring pathway seated within primary care for patients with COVID-19 scaled up for the province of Ontario (pop15 million) during the more lethal COVID delta variant infections, prior to population vaccination. It was designed to involve primary care providers in triage, ongoing clinical care of COVID-19 positive patients and integrated longitudinal PHR templates OBJECTIVE To describe the effectiveness of including primary care in responses to new population health threats DESIGN Multimethod, cross-sectional evaluation following the RE-AIM framework (Reach, Effectiveness Adoption, Implementation, Maintenance) METHODS We assessed pathway use, effects on population access and equity and patient outcomes including mortality and provincial data. We used electronic medical record clinical data at the population and practice level, provider and patient monitoring surveys, web analytics, healthcare and provincial utilization data, and government holdings data to evaluate RE-AIM outcomes including mortality and health equity RESULTS The pathway had 19,474 unique users and 28,816 oxygen saturation monitors were deployed to primary care clinics for loan-and-return for patients being acutely monitored. Coropleth mapping showed coverage of all equity levels across the province by income and geography. 50% of patients had >1 chronic condition and 10% had >5. PHR templates showed primary care provision of comprehensive care for COVID-19 symptoms, other chronic diseases, and psychosocial needs. Mortality was lower (p=0.0023) compared with a parallel provincial population-based group CONCLUSIONS The Pathway provided major Primary Care support to the provincial public health response to an emergent health crisis. It had rapid and widespread uptake, was made readily adaptable for clinicians and patients which resulted in high levels of satisfaction for both, and reduced patient mortality. Primary care rapidly pivoted to develop, implement, and contextualize a clinical care pathway during the COVID-19 crisis to fill a growing gap in patient care. The results demonstrated the beneficial role and effectiveness of primary care at the population level when patients are provided with timely, accessible, and comprehensive care within an existing longitudinal patient-provider relationship. Future public health responses should explicitly collaborate with primary care to address the health of the population ";}
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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 | 0.035 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".