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Record W3198489966 · doi:10.2196/31475

The Shishu Pushti Trial–Extended Peer Counseling for Improving Feeding Practices and Reducing Undernutrition in Children Aged 0-48 Months in Urban Bangladesh: Protocol for a Cluster-Randomized Controlled Trial

2021· article· en· W3198489966 on OpenAlexvenueno aff
Seema Mihrshahi, Gulshan Ara, Mansura Khanam, Sabrina Rasheed, Kingsley Agho, AKM Iqbal Kabir, Roy Sk, Rukhsana Haider, Jena Hamadani, Fahmida Tofail, Ashraful Alam, Michael J. Dibley

Bibliographic record

VenueJMIR Research Protocols · 2021
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersUNICEF
KeywordsBreastfeedingMedicineCluster randomised controlled trialRandomized controlled trialMalnutritionPediatricsAnthropometryPopulationBreast feedingCluster (spacecraft)Family medicineEnvironmental healthSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of this study is to assess if peer counseling of women improves breastfeeding, complementary feeding practices, and child growth, and thus reduces the prevalence of undernutrition in children up to 4 years of age. OBJECTIVE: Lack of exclusive breastfeeding and inappropriate complementary feeding are critical factors in reducing child undernutrition, morbidity, and mortality. There are reported trials of peer counseling to improve breastfeeding; however, they did not examine the efficacy of peer counseling to improve complementary feeding or the long-term impacts on child growth and development. METHODS: This study has used a community-based, cluster-randomized controlled trial with a superiority design and 2 parallel treatment arms. It is assessing the impact of peer counseling, starting in late pregnancy up to 1 year after delivery, on child feeding practices, growth, and development with follow-up until 48 months of age. The study site was Mirpur, a densely populated area in Dhaka. Using satellite maps and geographic information system mapping, we constructed 36 clusters with an average population of 5000 people. We recruited pregnant women in the third trimester aged 16-40 years, with no more than 3 living children. Trained peer counselors visited women at home twice before delivery, 4 times in the first month, monthly from 2 to 6 months, and again at 9 and 12 months. Trained research assistants collected anthropometric measurements. The primary outcome will be differences in child stunting and mean length for age at 6, 12, 15, and 18 months. Secondary outcomes will be differences in the percentage of women exclusively breastfeeding in the mean duration of any breastfeeding and in the percentage of children at 6 and 9 months of age who receive solid, semisolid, or soft foods; and the percentage of children consuming foods from 4 or more food groups at 9, 12, 15, and 18 months. We will assess the mean cognitive function scores from the Ages and Stages Questionnaire (9 and 18 months) and Bayley tests (24 and 36 months). RESULTS: We identified 65,535 people in mapped residences, from which we defined 36 clusters and randomly allocated them equally to intervention or control groups stratified by cluster socioeconomic status. From July 2011 to May 2013, we identified 1056 pregnant women and 993 births in the intervention group and 994 pregnancies and 890 births in the control group. At 18 months, 692 children remained in the intervention group and 551 in the control group. From January 2015 to February 2017, we conducted the long-term follow-up of the cohort. We have now completed the data collection and processing and have started analyses. CONCLUSIONS: This study will help fill the evidence gap about the short- and long-term impact of peer counseling on improving infant feeding, preventing childhood undernutrition, and enhancing child cognitive development. TRIAL REGISTRATION: ClinicalTrials.gov NCT01333995; https://clinicaltrials.gov/ct2/show/NCT01333995. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/31475.

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)0.017
metaresearch head score (Gemma)0.018
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.046
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.018
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0100.005
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0460.006

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 head0.110
GPT teacher head0.487
Teacher spread0.377 · 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
GenreProtocol

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

Citations2
Published2021
Admission routes1
Has abstractyes

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