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Record W1515672903 · doi:10.1111/nyas.12313

Review of implementation processes for integrated nutrition and psychosocial stimulation interventions

2013· review· en· W1515672903 on OpenAlexaff
Aisha K. Yousafzai, Frances E. Aboud

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2013
Typereview
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychosocialCash transfersPsychological interventionFidelityConditional cash transferLatin AmericansPsychologyMedical educationScale (ratio)Implementation researchMedicineNursingPolitical sciencePovertyEconomic growthPsychiatryComputer scienceGeographyEconomics

Abstract

fetched live from OpenAlex

This article reviews the implementation processes for interventions that integrate nutrition and psychosocial stimulation for children under 5 years of age in low- and middle-income countries. We examine the content of these programs, the delivery strategy, intensity and duration, personnel training and supervision, compliance, and fidelity. A systematic search of the Global Health Ovid database yielded 1020 articles, of which 29 fit the criteria, and two further studies recently completed were reported by author communication. Some of these articles describe efficacy or effectiveness studies where nutritional supplements or education along with psychosocial stimulation experiences or education were delivered directly to children or their caregivers. Other papers describe large-scale programs, such as conditional cash transfers in Latin America, Integrated Child Development Services preschools in India, and World Bank collaborations with national governments in Africa. A summary table of the implementation processes of the 31 programs is included. We conclude with a set of recommendations summarizing what we know so far regarding best practices for integrative programs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.048
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.287
GPT teacher head0.508
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations121
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of the New York Academy of SciencesSame topicChild Nutrition and Water AccessFrench-language works237,207