The Effect of Women's Autonomy in the Uptake of Long-Acting and Permanent Contraception Methods among Women Reproductive Age in East Kalimantan
Bibliographic record
Abstract
Background: Despite decreased fertility rate, East Kalimantan Province still facing unmet needs. Moreover, almost all contraceptive use in East Kalimantan depends on short-acting contraceptive methods. Only a few studies have ever been conducted on women's autonomy in relation to Long-Acting Permanent Contraception Methods (LAPMs) choices. It is, therefore, essential to find the associated factors affecting LAPMs uptake. This study aimed to analyze the influence of sociodemographic, knowledge, women's autonomy and fertility on LAPMs uptake at the household level. Methods: The data derived from the Indonesian Demographic and Health Survey (IDHS) 2017 of East Kalimantan Province. As much as 570 women of childbearing age (10–49 years) with marital status who still using contraception in any method was included as samples. Results: Factors correlate with the uptake of LAPMs in the bivariate analysis were age, insurance ownership, family planning knowledge and women's autonomy (p value<0.05). While in the multivariate analysis only women autonomy and insurance ownership were related to the uptake of LAPMs. Conclusion: This finding provides evidence for including women empowerment programs in the family planning program. Keywords: Family planning, women autonomy, long acting contraceptive methods
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".