Awareness of obstetric fistula and its associated factors among women of reproductive age in sub-Saharan Africa
Bibliographic record
Abstract
BACKGROUND: Awareness about obstetric fistula and its concomitant factors is central to efforts to eliminate obstetric fistula in sub-Saharan Africa. We, therefore, assessed the magnitude of obstetric fistula awareness and its associated factors among women of reproductive age in sub-Saharan Africa. METHODS: Data for the study were extracted from the most recent Demographic and Health Surveys of 14 countries in sub-Saharan Africa. We included 185,388 women aged 15-49 years in this study. Percentages were used to summarise the prevalence of obstetric fistula awareness across the 14 countries studied. We adopted a multivariable multilevel binary logistic regression to examine the factors associated with obstetric fistula awareness in sub-Saharan Africa. We presented the results of the regression analysis using adjusted odds ratios with their 95% confidence intervals. Statistical significance was set at p < 0.05. RESULTS: The average prevalence of obstetric fistula awareness was 37.9%, ranging from 12.8% in Gambia to 63.9% in Uganda. Awareness of obstetric fistula was low among never married and cohabiting women compared to married women. Compared with women with parity 4 or more, those with no birth had the lowest odds of obstetric fistula awareness. The study also showed that obstetric fistula awareness was lower among women who were working, those who are not exposed to mass media, those in the poorest wealth category, those who have never had sex, and those in communities with low literacy level. The study however found that the odds of obstetric fistula awareness increased with age and education, and was higher in urban areas compared to rural areas. Women, who had ever terminated a pregnancy were more likely to be aware of obstetric fistula compared to those who had never terminated a pregnancy. CONCLUSION: The study demonstrated a low awareness of obstetric fistula among women in sub-Saharan Africa. Educative and sensitisation interventions should incorporate the factors identified in the present study during its implementation. To raise women's awareness of obstetric fistula, there is the need for sub-Saharan African countries to consciously raise community literacy rate, increase access to mass media platforms and invest intensively in formal education for women.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".