Challenges and Facilitators for Physicians and Medical Schools to Promote Social Accountability in Rural Communities: A Scoping Review and Thematic Analysis
Bibliographic record
Abstract
Background: Social accountability aligns the health demands and priorities of the community and the commitment of medical schools. Existing literature has proposed contextually distinctive interventions encompassing geographical initiatives, institutions and communities, and systematic categorizations for the implementation of social accountability in a rural setting. Research concerning social accountability implementation strategies has been insufficient. This study provides an overview of the existing literature surrounding the social accountability practice of physicians and medical schools, in rural settings, through evidence of the barriers and facilitators inherent to these communities. Methods: This scoping review of 53 studies was conducted to determine challenges and facilitators associated with promoting social accountability in rural settings that are faced by physicians and medical schools. The review was consistent with the Arksey and O'Malley framework and included a search of Web of Science, MEDLINE, CINAHL, Scopus, and Embase to identify peer-reviewed articles on the topic from inception until April 1, 2024. Articles were screened against eligibility criteria, and important study characteristics and findings were extracted. A thematic analysis and narrative synthesis approach was used to analyze the data and report the results. Results: A total of 2698 abstracts were identified, 180 full-text articles were reviewed, and 53 articles were identified as eligible for inclusion in the review. Strategies used and problems inherent in promoting social accountability across physician practice and medical education are reported. Conclusions: This scoping review synthesizes existing evidence on the barriers and facilitators of social accountability practices in rural settings globally. The identified literature captures recurring themes of medical infrastructure inadequacy, community immersion curriculum design, targeted admission, geographical isolation, and institutional or peer support.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 | 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".