Determinants of cervical cancer screening among women living with HIV in Zimbabwe
Bibliographic record
Abstract
In sub-Saharan Africa (SSA), cervical cancer (CC) is the second leading cause of cancer-related deaths, with human immunodeficiency virus (HIV) seropositive women being particularly vulnerable. Despite the benefits of early CC screening in reducing HIV-related CC deaths, CC screening uptake remains limited, with wide disparities in access across SSA. As part of a larger study, this paper examines the determinants of CC screening among HIV-seropositive women of reproductive age (15-49 years) in Zimbabwe. Using the 2015 Zimbabwe Demographic and Health Survey, we conducted multilevel analyses of CC screening among 1490 HIV-seropositive women, nested in 400 clusters. Our findings revealed that, even though 74% of HIV-seropositive women knew about CC, only 17.6% of them reported ever screening for it. Women who held misconceptions about HIV (OR = 0.47, p = 0.01) were less likely to screen for CC compared to those with accurate knowledge about HIV and CC. HIV-seropositive women with secondary or higher education were more likely to screen (OR = 1.39, p = 0.04) for CC compared to those with a primary or lower level of education. Age was positively associated with screening for CC. Furthermore, locational factors, including province and rural-urban residence, were associated with CC screening. Based on these findings, we call for integrated care and management of HIV and non-communicable diseases in Southern Africa, specifically, Zimbabwe due to the legacy of HIV in the region.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".