Uptake of cervical cancer screening among sex workers living with HIV in Nairobi, Kenya: a cross-sectional study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Hospitals within Nairobi County, Kenya, offer cervical cancer screening services. However, most female sex workers do not seek this service. Objective: To determine uptake of cervical cancer screening among female sex workers living with HIV in Nairobi, Kenya. Design: A descriptive cross-sectional study. Methods: Computerized simple random sampling was used to select 75 study participants who met the inclusion criteria; data were collected using a structured questionnaire. The study was carried out among female sex workers living with HIV in Nairobi, Kenya, attending the Sex Workers Outreach Program. Results: 40% ( n = 30) of respondents were aged 18–25 years. Only 45.3% (34) had been screened for cervical cancer within the last 1 year. 65.3% ( n = 49) of respondents knew that cervical cancer affects the cervix but were not aware of what caused the disease. 77.6% ( n = 58) found the 8 am–5 pm health facility opening hours a hinderance to seeking services and 66.7% ( n = 50) found the screening method uncomfortable. Cultural practices and beliefs fostered stigma in 39.2% ( n = 29) of the sex workers; hence, they did not seek out services. Conclusion: Lack of information, cultural barriers, and facility operating hours prevent female sex workers living with HIV from getting tested for cervical cancer. These barriers once addressed could improve cervical cancer screening uptake among this high-risk population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it