Exploring trust in religious leaders and institutions as a mechanism for improving retention in child malnutrition interventions in the Philippines: a retrospective cohort study
Bibliographic record
Abstract
OBJECTIVES: In the context of persistent child malnutrition in the Philippines, the objective of this study was to examine how different dimensions of trust affected programme retention and physiological outcomes when a faith-based organisation (FBO) addressed moderate and severe acute malnutrition among children from households experiencing extreme poverty. SETTING: We retrospectively analysed survey data collected by International Care Ministries (ICM) in 2012-2013 across 150 communities in eight provinces (Negros Oriental, Negros Occidental, Bohol, Palawan, Sarangani, South Cotabato, Sultan Kudarat and Zamboanga del Norte) of the Philippines. STUDY PARTICIPANTS: Caregivers of 1192 children experiencing moderate acute malnutrition and severe acute malnutrition between the ages of 6 and 60 months. INTERVENTION: A 16-week child malnutrition treatment programme called Malnourished Child Outreach offered by ICM in partnership with local religious leaders and institutions. PRIMARY AND SECONDARY OUTCOME MEASURES: Programme dropout and weight-for-height z-score (WHZ) at the end of the programme for enrolled children were the two outcomes of interest. A logistic mixed-effects model was built to assess factors associated with programme dropout and a linear mixed-effects model for factors associated with WHZ at the end of the programme. RESULTS: Trust in religious leaders or institutions (-0.87 (95% CI: -1.43,-0.26)) was negatively associated with programme dropout, suggesting that with increasing levels of trust, decreasing proportions of children dropped out of treatment. Retention in the programme led to improved WHZ among participating children (-0.38 (95% CI: -1.43, 0.26)). Various measures of social capital, including trust in religious and public institutions, were not associated with WHZ at the end of the programme. CONCLUSIONS: Leveraging pre-existing trust in religious leaders and institutions among households experiencing extreme poverty is one way that ICM, and potentially other FBOs, can promote retention in child nutrition interventions among vulnerable populations.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".