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
Notice bibliographique
Résumé
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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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,010 | 0,009 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».