“When I Don’t Have Money, I Don’t Eat”: A Critical Hermeneutic Study of Diabetes in Liberia
Bibliographic record
Abstract
Diabetes is a growing public health concern in Liberia, where an estimated 2.1% of the population live with the disease. The challenges with diabetes in Liberia are enormous. Diabetes places immense socioeconomic pressure on individuals and their families and burdens an already overstretched health care system still recovering from the destructive effects of the 14-year civil war. While efforts towards rebuilding the health care system in Liberia are ongoing, people with diabetes experience significant challenges accessing social, economic, and health-care resources to manage their illness. Purpose: The goal of this critical hermeneutic study was to explore what is it like to live with diabetes in Liberia. Methods: Through purposeful sampling, 10 adults with diabetes were recruited from a publicly funded hospital in Monrovia, Liberia. Data were collected using a photovoice method, wherein participants photographed their everyday experiences of living with diabetes. Results: We identified three themes that answered the question of what is it like to live with diabetes in Liberia: living with diabetes means living with 1) food insecurity, 2) trying to access a health care system that was not built to respond to diabetes, and 3) using faith to cope and foster hope. Conclusion: The experiences of people living with diabetes in Liberia are under-researched, pointing to a gap in knowledge. The findings from this study address this gap in the literature by providing a clearer picture of the impact of diabetes on individuals and families. We provide tangible recommendations to local governments and policy makers on interventions that may improve health outcomes and quality of life for people living with diabetes in Liberia.
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How this classification was reachedexpand
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 | 0.011 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".