Patient perspectives on primary health care in rural communities: effects of geography on access, continuity and efficiency
Bibliographic record
Abstract
INTRODUCTION: Examining how to deliver primary health care (PHC) services and increase their accessibility (regardless of geographic location) from the patient’s perspective is needed. We conducted seven focus groups with people (n = 50) living in rural communities, in British Columbia, Canada, as they reflected on priorities for and use of PHC. METHODS: In addition to discussing their priorities for PHC services, participants completed a brief questionnaire designed to collect information regarding socio-demographics, health status and utilization of primary healthcare providers. Descriptive statistics were obtained from questionnaire data. Focus group data were coded using an evaluation framework specifically developed for PHC; a thematic content analysis was then conducted on the coded data. RESULTS: In total, 80% of participants had been patients of the same provider for more than one year and had an average of two chronic conditions. Participants described the challenges posed by geographical location in terms of: (1) making tradeoffs; (2) management, information, and relationship continuity of care; and (3) efficiency with health care delivery. Additional out-of-pocket expenses were associated with traveling to regional centers for health services. Those living in rural communities, especially people needing additional health services to manage their health problems, made tradeoffs between their safety of having to travel during times of poor road conditions and having their healthcare needs met. CONCLUSION: Challenges to timely access to a regular healthcare provider, continuity of information and management of people’s chronic disease conditions, and linkages to specialist services and diagnostic tests pose challenges for those living in rural communities. The geographic location of rural communities compounds the extent to which these people are able to access timely and continuous PHC.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".