Adaptation and Pilot Evaluation of an Intervention Addressing the Sexual Health Needs of Gay Men Living with HIV Infection in Colombia
Bibliographic record
Abstract
Interventions addressing the sexual health need of HIV-positive men who have sex with men (MSM) in Latin America are scarce. We adapted and evaluated GPS, a group-based intervention led by peers, developed using the Information-Motivation-Behavioral (IMB) model and motivational interviewing (MI). We used McKleroy et al framework to culturally adapt GPS to MSM living with HIV infection in Colombia. Then, a one-armed pilot trial examined changes in depressive symptoms, loneliness, self-efficacy for engaging in sexual risk reduction behaviors, sexual sensation seeking and sexual compulsivity at pre-intervention, post-intervention, and 3-month follow-up. These results were complemented with semistructured interviews with participants 3 months after the intervention. GPS was identified to be culturally acceptable with few changes in materials and exercises. Facilitators showed high levels of adherence and fidelity to MI principles. Seven of 11 eligible participants finished the intervention; GPS positively influenced self-efficacy for condom negotiation, depressive symptoms, and condomless anal sex with partners of unknown HIV status. Exit interviews revealed that GPS was well-designed, relevant, facilitated discussion of sex in a nonjudgmental manner, and helped make positive changes in participants' sexual lives. These results provided preliminary evidence of an intervention to address sexual and mental health of MSM living with HIV in Latin America.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".