Perception of Health and Care Seeking Behaviors of Patients Living in High-Altitude Villages of Rural Nepal
Bibliographic record
Abstract
Background: Nepal continues to struggle to increase its population access to healthcare, especially in rural and isolated villages where primary healthcare is offered through local health outposts. However, people often prefer to consult initially with traditional healers for minor issues as this is more aligned with their cultural beliefs and practices. Knowing that Nepal is undergoing healthcare reform, it would be timely to explore perceptions of health and care-seeking behaviors amongst patients living in high-altitude communities in rural Nepal for consideration in future planning and policy; which is the purpose of this qualitative study. Methods: In-person, semi-structured interviews were conducted, with the use of a translator, with 17 participants, living in two rural villages. After transcribing the interviews, themes were identified using thematic analysis. Results: People expressed the belief that they hold expertise in sustaining health due to their naturalistic lifestyle and community-focus developed within the context of a unique local culture and environment. When faced with a health problem, villagers are compelled to seek treatment from available healthcare offerings. Their care-seeking behavior and their eventual choice between Modern and Belief-based medicine is filtered through a number of considerations: the ease of its accessibility, the cost of services, their prior knowledge related to the illness, their belief system, and the severity of the medical situation. Conclusion: This study indicates that better understanding of the perceptions of the rural Nepali is crucial in advocating for sustainable and culturally-sensitive delivery of healthcare. Tweetable Abstract: Rural Nepali’s care-seeking behavior, rooted in naturalistic lifestyle and community-focus; however, contextual considerations oblige them to make choices between Modern and Belief-based medicine.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".