Barriers to Utilisation of Sexual Health Services by Female Sex Workers in Nepal
Bibliographic record
Abstract
Sexual health services are relatively rare in Nepal. Female sex workers (FSWs) do not use health services as much as would be desirable. A study was conducted to identify barriers to access of sexual health services by FSWs in Nepal. A mixed-method approach consisting of a 425 questionnaire-based survey and 15 in-depth interviews were conducted in 2007.One fifth of the FSWs had never visited health facilities. FSWs turned to private clinics followed by clinics belonging to non-governmental organisations and pharmacies for treatment. A combination of personal and service-related factors acted as critical barriers in accessing health services. Lack of confidentiality, discrimination and negative attitudes held by health care providers, poor communication between service providers and fear of exposure to the public as a sex worker were the major barriers to seeking sexual health services. These barriers should be taken into account while planning for sexual health services.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".