Patterns of condom use by men who have sex with men before and after the Avahan intervention in Andhra Pradesh state of India
Bibliographic record
Abstract
BACKGROUND: Two rounds of integrated biological and behavioural assessment (IBBA) surveys were done among men who have sex with men (MSM) in Andhra Pradesh during 2006 and 2009. Avahan, the India AIDS initiative, funded by the Bill and Melinda Gates Foundation implemented HIV prevention interventions among MSM starting around the time of the first round of IBBA. METHODS: Data on socio-demographic, sex behaviour characteristics and HIV status of MSM from the two IBBA rounds were used. Changes in the rates of consistent condom use over the past one month by MSM with various types of partners between the two rounds were assessed. Multivariate analysis was performed to assess associations between various factors and inconsistent condom use for sex with regular partners as well as HIV in MSM. RESULTS: A significant increase in consistent condom use by MSM was noted from 2006 to 2009 for paid male partners (19.5% to 93.8%), occasional male partners (13.2% to 86.2%), and paid female partners (25.9% to 94.2%). Consistent condom use with regular sex partners also increased but remained lower with regular male partner (75.8%) and very low with regular female partners (15.7%). MSM who used condoms inconsistently with their regular male partner were also more likely to use condoms inconsistently with their regular female partner. Multivariate analysis showed MSM who used condoms inconsistently with regular male partner had higher odds of HIV (odds ratio 1.8; 95% CI 1.2-2.7). MSM who received condoms from Avahan had the lowest odds (odds ratio 0.3; 95% CI 0.1-0.5) of inconsistent condom use with regular male partners. CONCLUSIONS: Condom use by MSM increased markedly after implementation of Avahan, though a causal association cannot be assessed with the available data. The relatively lower condom use with regular partners of MSM suggests that additional programme effort is needed to address this aspect specifically.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".