The cultural practices of Bamar diabetic patients: An ethnographic study
Bibliographic record
Abstract
Background Many qualitative studies on the feelings and lived experiences of diabetic patients have already been conducted in European and Asian countries. However, little is known about the cultural practices of diabetic patients among the Bamar population of Myanmar. Aim The aim of this study was to explore the cultural practices of Bamar diabetic patients in Myanmar. Methods The conceptual framework of this ethnographic study was based on Spradley's ethnographic theory and Leininger's cultural care theory. Seven participants who met the preset criteria were purposively selected from Anawmar quarter, Tharkayta Township, Yangon. Their cultural practices were studied through participant observations, ethnographic interviews and writing field notes. Collected data were analyzed step-by-step using Creswell's data analysis method. Findings The nine main themes that emerged were: reasons for late awareness of diabetes, misconceptions, cultural beliefs and practices, non-adherence, cultural influences on controlling diet, limitations in physical activities, suffering of living with diabetes, emotional reactions and coping by way of religious or spiritual beliefs. Fourty-six subthemes support the main themes. Discussion It was found that Bamar diabetics in this study were being strongly influenced by cultural beliefs and practices on treatment choice and controlling diet. They believed that diabetes is a curable disease, and its cause is due to cultural factors such as karma from either a previous or their current life. Bamar diabetic patients in this study used a variety of medicinal plants and traditional medicines due to availability at affordable prices. Conclusion Although some cultural beliefs are not harmful, some have detrimental effects on these patients' health. Hopefully, this study may provide information which can reduce cultural influences on Bamar diabetic patients. The results of this study highlight patients' needs for nursing personnel when it comes to providing effective culturally-tailored care.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".