Women empowerment as an enabling factor of contraceptive use in sub-Saharan Africa: a multilevel analysis of cross-sectional surveys of 32 countries
Bibliographic record
Abstract
Women's empowerment has a direct impact on maternal and child health care service utilization. Large scope measurement of contraceptive use in several dimensions is paramount, considering the nature of empowerment processes as it relates to improvements in maternal health status. However, multicountry and multilevel analysis of the measurement of women's empowerment indicators and their associations with contraceptive use is vital to make a substantial intervention in the Sub-Saharan Africa context. Therefore, we investigated the impact of women's empowerment on contraceptive use among women in sub-Saharan Africa countries. Secondary data involving 474,622 women of reproductive age (15–49 years) from the current Demographic and Health Survey (DHS) in 32 Sub-Saharan Africa region was used in this study. Contraceptive use was the primary outcome variable. Multilevel analysis was conducted to examine the impact of women's empowerment on contraceptive use. Percentages were conducted in univariate analysis. Furthermore, multilevel logistic regression models were used to analyze the association between individual, compositional and contextual factors of contraceptive use. Results showed large disparities in the number of women who reportedly ever use contraceptive methods; this range from as low as 6.7% in Chad and as much as 72% in Namibia. More than one-third of the respondents had no formal education and more than half were active labor force. Contraceptive use was significantly more common among respondents from the richest households (28.5% versus 18.9%). Various components of women's empowerment were positively significantly associated with contraceptive use after adjusting for demographic and socioeconomic factors. There was a significant variation in the odds of contraceptive use across the 32 countries (σ2= 1.12, 95% CrI 0.67 to 1.87) and across the neighbourhoods (σ2= 0.95, 95% CrI 0.92 to 0.98). Our findings suggest that an increase in contraceptive use and by better extension maternal health care services utilization can be achieved by enhancing women's empowerment. Also, an increase in decision-making autonomy by women, their participation in labour force, reduction in abuse and violence and improved knowledge level are all key issues to be considered. Health-related policies should address inequalities in women's empowerment, education and economic status which would yield benefits to individuals, families, and societies in general.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".