Autonomy-Supportive Healthcare Climate and HIV-Related Stigma Predict Linkage to HIV Care in Men Who Have Sex With Men in Ghana, West Africa
Bibliographic record
Abstract
In Ghana, the HIV prevalence among MSM is more than 10 times greater than the general population of adults, and rates of engagement in HIV medical care are low among MSM diagnosed with HIV. Using structured surveys, we investigated the impact of HIV-related stigma, same-sex behavior stigma, and gender nonconformity stigma on linkage to HIV care (LTC) in MSM ( N = 225) living with HIV in Ghana. Autonomy-supportive healthcare climate ( OR = 1.63, p < .01), vicarious HIV stigma ( OR = 2.73, p < .01), and age ( OR = 1.06, p < .004) predicted LTC. Conversely, felt normative HIV stigma negatively predicted LTC ( OR = 0.65, p < .05). Finally, we identified regional disparities, with MSM from Takoradi being 4 times and 5 times more likely to be LTC compared to Kumasi and Accra, respectively. Our findings highlight the nuanced roles of stigmas in shaping the HIV care continuum among MSM living with HIV, while revealing potential gaps in current measures of HIV-related stigma.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".