PS‐SAM: A Mixed Methods Study to Understand Current Practice and the Facilitators and Barriers to the Utilisation of Psycho‐Social Stimulation Interventions in Severe Acute Malnutrition
Bibliographic record
Abstract
Psycho-social stimulation interventions, recommended in the WHO guidelines for severe acute malnutrition (SAM), have been demonstrated to improve neurodevelopment and growth. However, interventions which have proven effective in clinical trials are resource-intensive and may be challenging in many contexts. This study aimed to explore facilitators, barriers and the existing provision of psycho-social stimulation interventions. We undertook a survey targeting practitioners across the globe who are involved in SAM care and/or programme management. We then undertook 12 semi-structured key informant interviews with practitioners from diverse professional contexts. We transcribed and coded interviews using a deductive approach based on the Consolidated Framework for Implementation Science Research (CFIR). We gained 42 responses from 18 countries for our survey with 29 respondents including psycho-social stimulation interventions in their SAM programmes. Our 12 key informant interviews described several barriers (financial, physical, and human resource limitations, prioritisation of life-saving care, and staff beliefs) as well as some potential facilitators (inclusion in guidelines, enjoyment for staff and parents, and emerging evidence of benefits in terms of short and long-term outcomes). This multi-country mixed methods study revealed that there are very heterogeneous patterns around the implementation of psycho-social interventions in children with SAM. Our study has demonstrated the perceived challenges by professionals involved in SAM care of the feasibility of implementing interventions from research trials. Pragmatic studies are needed which also include an assessment of implementation to enhance an understanding of what might drive uptake. Limitations of our study include a potential respondent bias and small sample size.
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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 | 0.027 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".