Breast self-examination practice and associated factors among female healthcare workers in Ethiopia: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Breast cancer is common global public health problem. It is the principal cause of cancer related death. In Ethiopia, study findings regarding prevalence and associated factors of BSE among female healthcare workers have been inconsistently reported and highly variable. Thus, this systematic review and meta-analysis aimed to determine the pooled prevalence of breast self-examination practice and determinants in Ethiopia. METHODS: A systematic search of PubMed, Medline, EMBASE, Global Health, Google Scholar, CINAHL and Scopus from April 2, 2020 to April 24, 2020. Data were extracted from articles included in the review using a data extraction tool which was adapted from the Joanna Briggs Institute. the quality of each included article was evaluated using the Newcastle-Ottawa scale. Data analysis was done using STATA 11. The Cochrane Q and I2 test were used to assess heterogeneity between the studies; and publication bias was assessed using funnel plots and Egger's test. A random effects meta-analysis was computed to determine the pooled prevalence of breast self-examination. The determinants for breast self-examination were examined. Forest plots were used to present the prevalence and odds ratio with 95% confidence interval. RESULTS: After reviewing 9605 studies, 12 studies involving 4129 female healthcare workers were included for this review and meta-analysis. The pooled prevalence of breast self-examination practice among healthcare workers in Ethiopia was 56.31% (95% CI: 44.37, 68.25). The subgroup analysis further revealed that the higher breast self-examination practice was observed among other healthcare workers, 58.60% (95% CI: 43.31, 73.90). Good knowledge (AOR = 3.02; 95% CI: 1.24, 7.35), positive attitude (AOR = 2.73; 95% CI: 1.95, 4.13) and family history of breast cancer (AOR = 3.21; 95% CI: 1.22, 6.52) were significantly associated with breast self-examination practice among healthcare workers. CONCLUSION: This meta-analysis found that nearly half of the female healthcare workers were not performed breast self-examination. The finding of this study suggests the need of strengthening early diagnosis of breast cancer and control strategies with a collaborative effort of policymakers and other concerned stakeholders.
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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 | 0.012 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.030 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".