Social Contexts of Living with HIV/AIDS in the Eastern Region of Ghana
Bibliographic record
Abstract
The livelihoods of persons living with HIV/AIDS (PLWHAs) in Ghana and sub-Saharan Africa have generally been under-researched using the social context approach. Employing the social context explanatory framework, we explore the livelihoods and challenges facing 38 PLWHAs in the Lower Manya Krobo Municipality (LMKM) in the Eastern Region of Ghana. LMKM has the highest prevalence of HIV/AIDS in Ghana. In-depth interviews have been conducted with participants who are out-patients at either of the two HIV/AIDS clinics in the study area. Their family relations, healthcare, healthcare seeking, and health status have been explored. The findings show the participants to generally be poor, have poorer health, and to have had some challenges to healthcare seeking, including food insecurity. They also lack sufficient support from family and romantic partners. Most have family members and romantic partners who had succumbed to HIV/AIDS. The participants generally have a high burden of child dependents, including orphans from HIV/AIDS. Our explanatory model confirms that the participants are caught at the interphase of intrapersonal, interpersonal, community, and national vulnerabilities that are interdependent and reciprocal. Safety-net provisions such as the National Health Insurance scheme provide them with inadequate social protection. For improved health status and general livelihood, we recommend more pro-active social support for the participants and their dependents. Furthermore having stakeholders make greater efforts is recommended for strengthening Ghana’s economy against shocks.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".