Differences in Preventive Care Uptake in Attached and Unattached Rural-Living Residents
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Preventive care services are crucial for overall health, yet, rural communities experience low rates of preventive service use. Primary care providers are pivotal in facilitating preventive service uptake (e.g., vaccinations, screenings) but shortages have left 1 in 5 Canadians without a primary care provider. The aim of this study was to compare preventive care uptake between BC rural residents attached and unattached to a primary care clinician. A quantitative cross-sectional survey of rural patients, both with (attached) and without (unattached) a primary care provider, was conducted from July to Sept 2022. Participants completed measures assessing prevention activity completion, priorities, and prevention activity self-efficacy. Descriptive statistics were used to compare preventive care completion and attachment status. A total of 516 rural residents (301 attached; 215 unattached) completed the survey (M age = 50.63 years; 74.4% female). Unattached patients reported lower prevention service completion rates (M = 51%) compared with attached patients (M = 63%; p < .001), although there was no significant difference in the number of prevention priorities. Self-efficacy for provider communication (p < .001), managing chronic illness (p = .002), getting vaccines (p < .001), and completing preventive screening (p < .001) was lower among unattached compared with attached participants. The results indicate a suboptimal uptake of preventive care in rural communities. Furthermore, they highlight a concerning gap in uptake between attached and unattached patients and provide strategic information for developing and implementing preventive care policy and programs, a pressing need given the persistent provider shortage.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it