Challenges and opportunities of integration of community based Management of Acute Malnutrition into the government health system in Bangladesh: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Severe acute malnutrition (SAM) in children is the most serious form of malnutrition and is associated with very high rates of morbidity and mortality. For sustainable SAM management, United Nations recommends integration of community based management of acute malnutrition (CMAM) into the health system. The objective of the study was to assess the preparedness of the health system to implement CMAM in Bangladesh. METHODS: The assessment was undertaken during January to May 2014 by conducting document review, key informant interviews, and direct observation. A total of 38 key informant interviews were conducted among government policy makers and program managers (n = 4), nutrition experts (n = 2), health and nutrition implementing partners (n = 2), development partner (n = 1), government health system staff (n = 5), government front line field workers (n = 22), and community members (n = 2). The assessment was based on: workforce, service delivery, financing, governance, information system, medical supplies, and the broad socio-political context. RESULTS: The government of Bangladesh has developed inpatient and outpatient guidelines for the management of SAM. There are cadres of community health workers of government and non-government actors who can be adequately trained to conduct CMAM. Inpatient management of SAM is available in 288 facilities across the country. However, only 2.7% doctors and 3.3% auxiliary staff are trained on facility based management of SAM. In functional facilities, uninterrupted supply of medicines and therapeutic diet are not available. There is resistance and disagreement among nutrition stakeholders regarding import or local production of ready-to-use therapeutic food (RUTF). Nutrition coordination is fragile and there is no functional supra-ministerial coordination platform for multi-sectoral and multi-stakeholder nutrition. CONCLUSION: There is an enabling environment for CMAM intervention in Bangladesh although health system strengthening is needed considering the barriers that have been identified. Training of facility based health staff, government community workers, and ensuring uninterrupted supply of medicines and logistics to the functional facilities should be the immediate priorities. Availability of ready-to-use therapeutic food (RUTF) is a critical component of CMAM and government should promote in-country production of RUTF for effective integration of CMAM into the health system in Bangladesh.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".