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Record W3193282792 · doi:10.1093/cdn/nzab100

A Mixed-Methods Cluster-Randomized Controlled Trial of a Hospital-Based Psychosocial Stimulation and Counseling Program for Caregivers and Children with Severe Acute Malnutrition

2021· article· en· W3193282792 on OpenAlexaff
Allison I Daniel, Mike Bwanali, Josephine Chimoyo Tenthani, Melissa Gladstone, Wieger Voskuijl, Isabel Potani, Frank Ziwoya, Kate Chidzalo, Emmie Mbale, Anna Heath, Céline Bourdon, Jenala Njirammadzi, Meta van den Heuvel, Robert Bandsma

Bibliographic record

VenueCurrent Developments in Nutrition · 2021
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick ChildrenPublic Health OntarioUniversity of Toronto
FundersNational Institute for Health and Care Research
KeywordsPsychosocialMedicineRandomized controlled trialMalnutritionPsychological interventionIntervention (counseling)Cluster randomised controlled trialPhysical therapyHygieneFocus groupClinical psychologyPsychologyPediatricsPsychiatry

Abstract

fetched live from OpenAlex

Children with severe acute malnutrition (SAM) who require nutritional rehabilitation unit (NRU) treatment often have poor developmental and nutritional outcomes following discharge. The Kusamala Program is a 4-d hospital-based counseling program for caregivers of children with SAM that integrates nutrition, water, sanitation, and hygiene and psychosocial stimulation, aimed at improving these outcomes. The aim was to evaluate the effects of the Kusamala Program on child development and nutritional status in children with SAM 6 mo after NRU discharge. The other aim was to qualitatively understand perceptions and experiences of caregivers who participated in the intervention. A cluster-randomized controlled trial was conducted with caregivers and their children 6–59 mo of age with SAM admitted to the Moyo NRU in Blantyre, Malawi. The primary outcome of the trial was child development according to Malawi Developmental Assessment Tool (MDAT) composite z-scores of gross motor, fine motor, language, and social domains. A qualitative component with focus group discussions and in-depth interviews was also completed with a subset of caregivers who participated in the trial. Sixty-eight caregivers and children were enrolled to clusters by week and randomly assigned to the comparison arm and 104 to the intervention arm. There were no differences in child development, with mean MDAT composite z-scores in the comparison arm of −1.2 (95% CI: −2.1, −0.22) and in the intervention arm of −1.1 (95% CI: −1.9, −0.40) (P = 0.93). The qualitative evaluation with 20 caregivers indicated that the 3 modules of the Kusamala Program were appropriate and that they applied many of the lessons learned at home as much as possible. The Kusamala Program did not result in improved developmental or nutritional outcomes, yet it was viewed positively by caregivers according to qualitative results. Future research should evaluate more intensive interventions for caregivers and children with SAM. This trial was registered at http://www.clinicaltrials.gov as NCT03072433.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.015
GPT teacher head0.345
Teacher spread0.330 · 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 designRandomized trial
Domainnot available
GenreEmpirical

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

Citations7
Published2021
Admission routes1
Has abstractyes

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