Women’s empowerment indicators and short- and long-acting contraceptive method use: evidence from DHS from 11 countries
Bibliographic record
Abstract
BACKGROUND: With a population of about 1.1 billion, sub-Saharan Africa is projected to overtake Eastern, Southern and Central Asia to become the most populous region by 2060. One effective approach for slowing this rapid population growth is the use of modern contraception and this may be short-acting or long acting. Previous studies have explored the association between women empowerment indicators contraception use, however, there is limited evidence on how women empowerment indicators associate with type of contraception. Hence the present study investigated the association between women empowerment indicators and type of contraception used by women in 11 sub-Saharan African countries. METHODS: We utilised Demographic and Health Survey data of 22,637 women from 11 countries, collected between 2018 and 2021. The outcome variable was type of contraception used. Descriptive and inferential analyses were executed. The descriptive analysis reflected women empowerment indicators and the proportion of women using contraceptives. Multinomial logistic regression was considered for the inferential analysis. The results for the multinomial logistic regression were presented as adjusted odds ratios (aORs) along with the respective 95% confidence intervals (CIs) signifying precision. The sample weight (wt) was used to account for the complex survey (svy) design. All the analyses were done with Stata version 13 and SPSS version 25. RESULTS: The study showed that on the average, 15.95% of the women do not use modern contraceptives, whilst 30.67% and 53.38% use long-acting and short-acting contraceptives respectively. The adjusted models showed that women who were working had higher odds of using long-acting (aOR = 1.44, CI 1.28-1.62) and short-acting (aOR = 2.00, CI 1.79-2.24) methods compared with those who were not working. The analysis revealed higher likelihood of long-acting method use among women with high decision-making capacity (aOR = 1.27, CI 1.09-1.47) compared with women with low decision-making capacity. Women with medium knowledge level had a higher likelihood (aOR = 1.54, 1.09-2.17) of using long-acting methods than their counterparts with low knowledge level. CONCLUSION: Our findings show that most women in the 11 countries use modern contraceptives, however, different empowerment indicators align with different contraceptive type. It therefore behoves governments of the studied countries to review current interventions and embrace new ones that are more responsive to the peculiar contraception needs of empowered and non-empowered 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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".