Knowledge of HPV/Cervical Cancer and Acceptability of HPV Self-Sampling among Women Living with HIV: A Scoping Review
Bibliographic record
Abstract
Cervical cancer rates are disproportionately high among women living with the human immunodeficiency virus (wlhiv). Cervical cancer is preventable through hpv screening, regular Pap tests, and early cancer detection. Evidence indicates that hpv and cervical cancer screening are suboptimal among wlhiv, who face a myriad of access barriers. Considering that screening is an effective first-line defense to cervical cancer, we conducted a scoping review with the aim of gaining a better understanding about: (1) the knowledge and perceptions of hpv and cervical cancer screening among wlhiv; and (2) the acceptability of self-sampling for hpv among wlhiv. We searched five electronic databases for peer-reviewed articles that were published in English within the last ten years, reported on studies with hiv-positive women who were aged 16 or older, and satisfied the topics of the review. A total of 621 articles were found. After accounting for duplicates and unmet criteria, 17 articles and 1 abstract, reporting on studies in the United States and Africa, were included in this review. The review highlighted that most wlhiv had inadequate knowledge of hpv transmission and cervical cancer prevention, which influenced their perceptions of risk and susceptibility. Screening barriers included misconceptions about Pap tests, fear of diagnosis of serious illness, perceived pain, embarrassment, bodily modesty, and limited access to female health care providers. This review also affirms that self-sampling is an acceptable and promising screening option for wlhiv. Implications for policy, research, and practice are discussed.
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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 | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| 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".