Crossroads of choice: a qualitative study of the factors influencing decisions to transition from sex work among women engaged in sex work in Southern Uganda
Bibliographic record
Abstract
BACKGROUND: Women engaged in commercial sex work (WESW) are exposed to behavioral, biological, and structural factors that exacerbate their risk of HIV infection and other sexually transmitted infections. While commercial sex work may appear voluntary, WESW are more likely to be constrained to selling sex due to limited viable alternatives. To effectively support this vulnerable group of women, it is critical to understand factors that facilitate and impede their decisions to transition from sex work into other careers or jobs. The current study explored women's decision to transition from sex work into other careers or jobs. METHODS: Face-to-face semi-structured in-depth interviews were conducted with 53 WESW aged 20-47 enrolled within the larger Kyaterekera study, a randomized clinical trial (N = 542) implemented in 19 geographical hotspots in the Southern region of Uganda. Participants were selected based on their level of intervention attendance (high/medium/low attendance) during the 12-month follow-up (Time 2). The interviews were conducted in Luganda the widely spoken language in the study area to explore the factors influencing women's decisions to transition from sex work to other jobs or careers. The main interview question used for this study was, "What are some of the factors that may influence whether you would transition from sex work to other jobs or vocations?" All interviews were audio-recorded, transcribed verbatim, and translated into English. Thematic analysis in Dedoose software was used to analyze the data. RESULTS: Participants reported three primary types of decisions, including considering leaving sex work, deciding to leave, and staying in sex work. The emerging themes from the interviews were categorized into individual and structural level facilitators and barriers to transitioning out of sex work. Individual-level factors included issues of stigma, discrimination, and aging as factors that facilitated women's decision to leave sex work. At the interpersonal level, physical and sexual violence was noted as a reason to leave sex work. At the structural level, stigma and discrimination (from community members) were identified as facilitators to leaving sex work. Income-related factors were identified mainly as barriers to leaving sex work. CONCLUSION: Our study highlights the complex decision-making processes among WESW as they navigate transitions to alternative jobs or careers. By advocating for multifaceted interventions and policies tailored to the diverse challenges faced by WESW, our study contributes to a more informed approach to supporting their transition out of sex work.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".