Long Acting Reversible Contraceptive Practices Among Mothers in Coastal Areas of Bangladesh
Bibliographic record
Abstract
Background: Long Acting Reversible Contraceptive (LARC) use helps women prevent unplanned pregnancies, space births, and balance work and family life, while large families increase their burden with added household responsibilities and financial pressure. The objective of this research is to evaluate the status of LARC use among mothers of reproductive age in the coastal areas of Bangladesh. Materials and methods: This cross-sectional study was conducted among married women of reproductive age (1549) in Potenga and Shitakundo, Chittagong, Bangladesh, from January to December 2019. It targeted 196 purposively selected mothers aged 18-49 with at least one child over one year old. Results: The respondents' mean age was 28.4±5.4 years, while their husbands' mean age was 36.2±6.6 years. The majority of respondents (53.1%) used oral contraceptive pills, followed by condoms (22.4%) injectables (8.7%) IUDs (8.2%) and implants (7.7%). Most respondents had their first childbirth before age 20 (68.3%). About 58.7% were aware of LARC, with injectables being the most recognized method (51.2%). While 75% did not use LARC, 59.2% expressed an intention to use it in the future. LARC use was significantly associated with the respondent's and husband's age (p<0.05), with older age groups showing higher usage. Conclusion: The study revealed that oral contraceptive pills were the most widely used method, followed by condoms and injectables. Although most respondents were aware of LARC, only a quarter used it, with injectables being the most common. JCMCTA 2025 ; 36 (1) : 164-170
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 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".