The Utilization of Long-Acting Reversible Contraception and Associated Factors Among Women in Indonesia
Bibliographic record
Abstract
Long-acting reversible contraceptives (LARCs), consist of IUD and implats, were effective and efficient methods in preventing the pregnancy. However, the used of these methods in Indonesia was still low. This study sought to explore LARC utilization trends and the factors influencing LARC used among reproductive women in Indonesia. This research analyzed data from the Indonesia Demographic and Health Survey 2017. Respondents in this study were women who currently used modern contraceptive methods. A total of 20,409 women who used modern methods were included in the analysis. Descriptive analysis was performed using chi-square and percentages. Logistic regression with complex sample design was used to determine the associated factors in LARC utilization. Among women in reproductive age who currently used modern contraception, IUDs and implants were viewed particularly unfavorably which only 16.5% of women used LARC. Findings highlighted that higher LARC use among reproductive age women in Indonesia correlated with higher parity, older women, higher education, working women, desire to limit the pregnancy in the future and more visited by fieldworkers in the last 12 months. This study underscored that even though only 4% of respondents were visited by fieldworkers, the utilize of LARC was higher among women who visited by fieldworkers. This study suggests that communication skills among fieldworker need to be enhanced to do counselling and work closely with the community member.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".