Does continuity of care with a family physician reduce hospitalizations among older adults?
Bibliographic record
Abstract
OBJECTIVE: To examine the relation between continuity of primary care and hospitalizations. METHODS: Survey data from a representative sample of older adults aged 67 or over living in the province of Manitoba (n = 1863) were linked to administrative data, which provide complete records of physician visits and hospitalizations. A visit-based measure of continuity of care was derived using a majority-of-care definition, whereby individuals who made 75% of all their visits to family physicians (FPs) to the same FP were classified as having high continuity of care, and those with less than 75% of their visits to the same FP as having low continuity of care. Whether individuals were hospitalized (for either ambulatory care-sensitive conditions or all conditions) was also determined from administrative records. RESULTS: High continuity of care was associated with reduced odds of ambulatory care-sensitive hospitalizations (adjusted odds ratio = 0.67, confidence interval 0.51-0.90) controlling for demographic and self-reported, health-related measures. It was not related to hospitalizations for all conditions, however. CONCLUSIONS: The study highlights the importance of continuity of primary care in reducing potentially avoidable hospitalizations.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".