Findings of an evaluation of a sexual and reproductive health programme in a humanitarian setting for the forcibly displaced Myanmar nationals in Cox’s Bazar, Bangladesh
Bibliographic record
Abstract
Background: Since August 2017, around 940 000 forcibly displaced Myanmar nationals (FDMN), mostly women and children, have fled persecution in Myanmar and arrived in the refugee camps across the border in Cox's Bazar, Bangladesh. This large-scale humanitarian crisis created an urgency for sexual and reproductive healthcare-related services among many of the sexually assaulted FDMN women and girls. Ipas, an international non-governmental organisation (NGO) that has been working on expanding access to safe menstrual regulation, post-abortion care, and family planning services in Bangladesh since 2011, initiated an emergency humanitarian response programme in the refugee camps in Cox's Bazar in 2017 for the victim FDMN women and girls who were in desperate need of care. To understand the implementation process and the scope of sustainability and scale-up of Ipas's programme in the current humanitarian settings, icddr,b, a Bangladesh-based international health research institution, conducted an evaluation study. Methods: Due to the emergency crisis situation, Ipas could not collect baseline data while initiating its humanitarian response programme in 2017. Only a post-evaluation was carried out by icddr,b from August to December 2022 based on a desk review, health facility observation and assessment, qualitative interviews, and a stakeholder consultation workshop. Results: In collaboration with relevant stakeholders from the Government of Bangladesh and local and international NGOs, Ipas performed structural renovation and logistical arrangements to ensure facility readiness within the camps. Until December 2022, it provided comprehensive training on menstrual regulation, post-abortion care, and family planning services to around 700 service providers from partner organisations and expanded its activities from 8 to 51 service delivery points in 23 camps. Overall, 42 213 FDMN women received menstrual regulation and post-abortion care, while 339 334 received family planning services from these facilities, with a growing trend over time. Conclusions: Despite the challenges and barriers inherent to a humanitarian setting, Ipas's programme activities have achieved significant progress in providing menstrual regulation, post-abortion care, family planning services, and trauma/survival-centred care to the FDMN women and girls. A flexible approach, stakeholder coordination and commitment, cohesive methods for health systems strengthening, and community engagement were instrumental to the success of Ipas's humanitarian response programme.
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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 | 0.020 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".