Decisions, decisions: the importance of condom use decision making among HIV sero-discordant couples in a prospective cohort study in Uganda
Bibliographic record
Abstract
OBJECTIVES: We examined sexual decision making type among couples in HIV sero-discordant partnerships in Uganda, and investigated how sexual decision making type changed over time and its effect on condom use. METHODS: Data were drawn from a longitudinal cohort of HIV sero-discordant couples, recruited through the AIDS Support Organisation in Jinja, Uganda. Sexual decision making was measured using the Sexual Relationship Power Scale, and couples' individual self-report answers were matched to assess agreement for decision making type and condom use. Generalised linear mixed effects modelling was used to assess statistically significant differences in time trend of sexual decision making type, and to investigate the independent association of decision making type on condom use status over time. RESULTS: Of the 533 couples included in this analysis, 345 (65%) reported using condoms at last sex at study enrolment. In the time trend analysis of decision making, the proportion of couples who decided together increased over time while the proportions of couples who reported that one partner decided or no one decided/did not use condoms, decreased over time (overall p<0.001). Compared with couples who decided together, those who disagreed (adjusted OR=0.42, 95% CI 0.28 to 0.64) and those where one partner decided (adjusted OR=0.20, 95% CI 0.12 to 0.34) had significantly lower odds of condom use at last sex, even after controlling for confounders. CONCLUSIONS: Couples who disagreed on decision making, or agreed that one partner decides alone, had significantly lower odds of reporting condom use compared with couples who decided together. HIV counselling interventions that encourage joint sexual decision making may improve condom use within this population.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".