Knowledge, attitude, and practice of cervical cancer screening and associated factors among reprodu
Bibliographic record
Abstract
Background: Cervical cancer is the leading cause of cancer deaths, accounting for 9% of female cancer deaths. In addition, more than 85% of cervical cancer related deaths are found in low and middle-income countries. Women’s knowledge and attitude are barriers for the uptake of cervical cancer screening service in Ethiopia. Studies conducted on knowledge, attitude, and practice of cervical cancer screening and associated factors among reproductive age women are inconsistent. Therefore, this systematic review and meta-analysis aimed to estimate the national level of knowledge, attitude, and practice of cervical cancer screening and associated factors among women aged 15-49 years in Ethiopia. Methods: An international database such as PubMed, EMBASE, Scopus, Google Scholar, Science Direct Cochrane library, and Grey literature databases were searched an extensively. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2009 guideline were pursued for this review. The quality of each study was assessed using Newcastle- Ottawa quality assessment tool. Stata version 14 was used to analyze the data. We have used a random effects model to estimate the pooled prevalence and odds ratio with 95% CI. The possible heterogeneity between studies was assessed using I-squared (I2) test statistic. Egger’s test was used to assess the publication bias. Result: Eighteen studies with a total of 9, 897 women were included in this meta-analysis. The pooled national level of knowledge, attitude and practice towards cervical cancer screening among 15-49 years old aged women in Ethiopia was 40.37% (95% CI: 30.09,50.66), 58.87% (95% CI: 42.69,75.05) and 14.02% (95% CI: 9.67,18.37) respectively. Being uneducated (OR: 3.10, 95% CI: 2.09,4.62), Women who had good knowledge (OR: 5.87, 95% CI: 2.57,13.40), Women who had positive attitude (OR: 4.20, 95% CI: 2.86,6.16) and not being married (OR: 3.34, 95% CI: 1.09,10.22) were the major factors of cervical cancer screening practice. Conclusions and Recommendation: This review showed that the level of knowledge, attitude, and practice of cervical cancer screening among reproductive-age women in Ethiopia was relatively lower. Educational status, knowledge, attitude and marital status were statistically significant factors for cervical cancer screening practice. Hence, the health care provider needs to scale up health education and awareness creation about cervical cancer screening and early detection and prevention of cervical cancer.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".