Family doctors providing home visits in Nova Scotia: Who are they and how often does it happen?
Bibliographic record
Abstract
OBJECTIVE: To examine how FP and practice characteristics relate to the provision of home visits. DESIGN: Census survey linked to administrative billing data. SETTING: Nova Scotia, 2014 to 2015. PARTICIPANTS: Respondents to the family physician practice survey (N = 740; 84.5% response rate), the FP provider survey (N = 677; 56.7% response rate), and the nurse practitioner provider survey (N = 45; 68.9% response rate). MAIN OUTCOME MEASURES: Provision of home visits. Family physician characteristics included age, sex, and proximity to retirement; practice characteristics included patient age and practice rurality. RESULTS: < .001). CONCLUSION: Most FPs in Nova Scotia who responded to our survey reported doing home visits. This is an encouraging finding for the care of vulnerable older adults and runs counter to the widely held view that home visits are a dying art. Nevertheless, given that older male FPs are more likely to do home visits, there could be work force implications as these FPs retire. As the population ages, strategies to support home visits will be an important area for further research and policy development.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".