Determinants of intention to use condoms among clients of female sex workers in Haiti
Bibliographic record
Abstract
A cross-sectional survey was conducted to examine factors influencing intention of condom use among 378 clients of female sex workers (FSWs) visiting commercial sex sites in St-Marc and Gonaives, Haiti. Mean age of the study participants was 24 years. A structured questionnaire was used to collect data on socio-demographic characteristics, behaviors, and the theory of planned behavior (TPB) constructs. Seventy-four percentage of clients reported having used condoms with a FSW the last time they had had sexual intercourse. The majority (81.7%) firmly intended to use condoms during the next sexual encounter with a FSW. Multivariate logistic models revealed that subjective norms (odds ratio (OR)=1.75; 95% confidence interval (CI): 1.06-2.88), perceived behavioral control (OR=1.34; 95% CI: 1.09-1.63) and attitudes (OR=1.23; 95% CI: 1.04-1.44) were predictors of intention to use condoms, with norms being more important. Clients having used condoms the last time they had a sexual intercourse with a FSW, were more likely to have the intention to use them in the future (OR=3.17; 95% CI: 1.65-6.10), indicating an adopted behavior. Lastly, having had a previous sexually transmitted infection was associated with intention, suggesting that a negative experience can influence a future behavior. In conclusion, intention to use condoms among the clients of Haitian FSWs was well predicted by TPB constructs. Our findings provide evidence for designing interventions targeted at reducing risky sex behaviors in this population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".