Psychosocial Influences on HIV Treatment Adherence: Utility of the Theory of Self-Determination
Bibliographic record
Abstract
Using the Theory of Self-Determination, the study sought to understand the factors that influence HIV treatment adherence among people living with HIV (PLWH). Fifty-seven people completed the self-report questionnaires (Phase I) and 11 took part in face-to-face interviews (Phase II). Results indicated that 42% of the sampled PLWH were not completely adherent to their HIV treatment. While the mediational hypotheses were not supported, bivariate correlations pointed to the importance of having an autonomy-supportive physician, as this variable was associated with better adherence, low depression and anxiety, higher social support, and fewer experiences of stigma. Barriers to successful adherence were experiencing side effects. Phase II findings revealed the importance of family support as a motivator for adherence. Participants also shared stories of experienced stigma in hospital settings, but these negative experiences were not related to poor adherence. Interventions should be created to guide physicians to be more supportive of patient autonomy.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 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 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".