Mapping of Primary Care and Health Care Utilization in Naturally Occurring Retirement Communities: Ontario, Canada
Bibliographic record
Abstract
Context: Naturally occurring retirement communities (NORCs) are unplanned communities with a high proportion of older residents. Mapping NORCs and understanding their unique sociodemographic characteristics and health utilization patterns can assist primary care teams in supporting older adults by: i) identifying geographical areas of high service need and, ii) developing neighborhood based programs. Study Design and Analysis Observational Design: Descriptive analysis identifying proportions of communities in the province of Ontario, Canada with ≥40% of persons with ≥55 years of age (NORCs) and the sociodemographic characteristics (e.g., Ontario Marginalization Index), health utilization and primary care enrollment models were displayed in a series of maps. Maps offered a visual presentation of provincial patterns of high density of older adults . The forward sortation areas, geographical units based on the first 3 characters of the Canadian postal code, from the 2016 census year were used. Dataset: Linked administrative data at ICES, an independent, non-profit research institute that routinely collects sociodemographic and healthcare information for the residents in Ontario, Canada. Population: All resident of Ontario ≥55 years of age as of March 31, 2021 (N=4,663,813). Intervention/Instrument: Maps to depict the distribution of NORCs and the patterns of health. Outcome Measure: Geographical patterns of NORCs in Ontario, Canada. Results: The regional distribution of NORCs varies across the province, with a greater number of NORCs identified in the Eastern and Northern regions of Ontario. The majority of NORCs had high proportion of older adults enrolled in team based models of primary care. Patterns of health use and frailty varied across the province. Conclusions: This is the first known study to map health use and primary care enrollment in NORCs in a province and highlights the complex and varied patterns of regional distribution. Mapping NORCs is an important resource for decision makers and planners to leverage primary care in supporting older adults to age in their communities.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".