Stigmatization, Medication Adherence and Resilience Among Recently Diagnosed People Living With HIV/AIDS (PLWHA): A Mixed‐Method Study
Why this work is in the frame
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Bibliographic record
Abstract
Aim and Objectives: To investigate the level of stigma, medication adherence and resilience among recently diagnosed people living with HIV/AIDS (PLWHA) and explore the relationship between medication adherence, stigmatization and resilience. Design/Method: This is a convergent-parallel mixed-method design involving both qualitative and quantitative research methodologies. The quantitative aspect utilized a cross-sectional design among 200 PLWHA at the anti-retroviral therapy clinic of the Lagos University Teaching Hospital, Lagos, Nigeria, whereas the qualitative part entailed semi-structured, in-depth interviews of 26 PLWHA. Spearman's rho correlation was used to explore the relationship between medication adherence, stigmatization and resilience, and qualitative data were analysed using thematic analysis. Result: Four themes emerged from the qualitative analysis, including building resilience, experiences relating to diagnosis, experiences related to treatment and factors facilitating medication adherence. Overall, 113 (57%) experienced a high level of stigma, 149 (76%) reported high medication adherence, and above average 115 (57.2%) demonstrated high resilience. Conclusion: In this study, PLWHA in Nigeria who recently received their diagnosis experienced a high level of stigma, resilience and medication adherence. However, nearly one-third of the participants were non-adherent to medication due to several reasons. This noteworthy proportion of non-adherence needs to be addressed while improving resilience and reducing stigmatization.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it