Factors affecting access to primary health care services for persons with disabilities in rural areas: a “best-fit” framework synthesis
Bibliographic record
Abstract
BACKGROUND: Access to primary health care (PHC) is a fundamental human right and central in the performance of health care systems, however persons with disabilities (PWDs) generally experience greater barriers in accessing PHC than the general population. These problems are further exacerbated for those with disabilities in rural areas. Understanding PHC access for PWDs is particularly important as such knowledge can inform policies, clinical practice and future research in rural settings. METHODS: We conducted a synthesis of published literature to explore the factors affecting access to PHC for PWDs in rural areas globally. Using an adapted keyword search string we searched five databases (CINAHL, EMBASE, Global Health, Medline and Web of Science), key journals and the reference lists of included articles. We imported the articles into NVivo and conducted deductive (framework) analysis by charting the data into a rural PHC access framework. We subsequently conducted inductive (thematic) analysis. RESULTS: = 26) of the studies were conducted in low-and middle-income countries. We found that PWDs were unable to access PHC due to obstacles including the interplay of four major factors; availability, acceptability, geography and affordability. In particular, limited availability of health care facilities and services and perceived low quality of care meant that those in need of health care services frequently had to travel for care. The barrier of geographic distance was worsened by transportation problems. We also observed that where health services were available most people could not afford the cost. CONCLUSION: Our synthesis noted that modifying the access framework to incorporate relationships among the barriers might help better conceptualize PHC access challenges and opportunities in rural settings. We also made recommendations for policy development, practice consideration and future research that could lead to more equitable access to health care. Importantly, there is the need for health policies that aim address rural health problems to consider all the dimensions and their interactions. In terms of practice, the review also highlights the need to provide in-service training to health care providers on how to enhance their communication skills with PWDs. Future research should focus on exploring access in geographical contexts with different health care systems, the perspectives of health care providers and how PWDs respond to access problems in rural settings.
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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 | 0.026 | 0.061 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.020 | 0.017 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".