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Record W4388683871 · doi:10.3389/fpubh.2023.1165728

Design-redesign, implementation, and evaluation of effectiveness of maternal nutrition and responsive parenting program on child development at 2 years of age from rural India: a cluster RCT

2023· article· en· W4388683871 on OpenAlexfundaboutno aff
Abhay Gaidhane, Mahalaqua Nazli Khatib, Shital Telrandhe, Manoj Patil, Priti Kogade, Shilpa Gaidhane, Sonali G Choudhari, Penny Holding, Deepak Saxena

Bibliographic record

VenueFrontiers in Public Health · 2023
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersGrand Challenges CanadaIndian Council of Medical ResearchVanderbilt University
KeywordsRandomized controlled trialCluster (spacecraft)MedicineChild developmentCluster randomised controlled trialPediatricsEnvironmental healthGerontologyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Background: To promote early childhood development (ECD), we require information not only on what needs to be addressed and on what effects can be achieved but also on effective delivery methods that can be adapted to local context. We describe design, implementation, and evaluation of a complex intervention to strengthen nurturing environment for young children. Methods: Study participants were pregnant women and their children from birth to 2 years. We used design and redesign, implementation, and evaluation approaches for the study. We co-created curriculum and delivery plan with stakeholders, based on the theoretical framework, findings from formative research, and our preliminary work. We recruited 656 pregnant women and newborns, 326 (49.69%) from intervention and 330 (50.30%) from the control group. We conducted a cluster randomized controlled trial to evaluate the program's effectiveness. The outcomes of children were assessed at 12 and 24 months. Findings: At recruitment, study participants from both the study arms were similar in sociodemographic characteristics. We conducted 6,665 home visits, 25 toy-making workshops, and 65 caregiver-meetings. The initial examination of program data revealed gaps in quality and coverage of interventions. The intervention was redesigned based on feedback from stakeholders in community meetings. At recruitment, participants in both study groups had similar socio-demographics. We conducted 6,665 home visits, 25 toy workshops, and 65 caregiver meetings. Initial program data showed intervention quality and coverage gaps, leading to a redesign program based on community and stakeholder feedback. Post-re-designing, session quality improved, with program coverage rising from 32 to 98%. Male participation in home visits increased from 4.3 to 32.65%, and data errors reduced from 270 to 140 per month on average. At 24 months, program showed moderate-mild impact on ECD - cognitive (0.31, 95%CI: 0.13-0.48), language (0.2, 95%CI: 0.01-0.39), and socioemotional-development (0.19, 95%CI: 0.01-0.37), moderate effect on home-environment and mother-child interaction. 96% of women initiated breastfeed within one-hour of delivery, and exclusive-breastfeeding rate of 89.80%. Interpretations: The study provides an evidence-based community centered ECD curriculum and implementation strategies to enhance service providers, and caregivers' knowledge and skills for promoting ECD in low-resource settings with the potential to scale within existing Government Program. Funding: The trial was funded by the Saving Brains Round 5 Initiative of Grand Challenges Canada (Grant no. SB-1707-05084), and we are grateful for their ongoing support through online sessions and orientation workshops. The trial was also supported by the Indian Council of Medical Research (File No: 5/7/1693/CH/Adhoc/RBMCH-2020).

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)0.020
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.014
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0030.002
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 head0.046
GPT teacher head0.358
Teacher spread0.311 · 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

Citations6
Published2023
Admission routes2
Has abstractyes

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