MétaCan
Menu
Back to cohort
Record W4288766335 · doi:10.26443/msurj.v17i1.180

An Analysis of Behaviour Change Techniques used in the Care for Child Development Parenting Program

2022· article· en· W4288766335 on OpenAlexafffund
Claire Wamboldt, Marilyn N. Ahun, Frances E. Aboud

Bibliographic record

VenueMcGill Science Undergraduate Research Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsMcGill University
FundersMcGill UniversityHarvard UniversityUNICEF
KeywordsCognitionCognitive developmentPsychologyChild developmentDevelopmental psychologyApplied psychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Care for Child Development (CCD) is one of several parenting programs implemented in low- and middle-income countries to improve child cognitive development outcomes by increasing responsive stimulation practices in caregivers of young children. Broadly, these programs have been demonstrated to be effective. However, there is markedly little high-quality evidence for the effectiveness of CCD. Despite this, CCD is promoted by UNICEF and the World Health Organisation as an evidence-based program and is implemented in many countries. We conducted a scoping review, including grey literature and a systematic search of published literature, to obtain an overview of the available evidence. We also performed an analysis of two quantitative outcomes, child cognitive development and caregiver behaviour, to investigate their correlation with behaviour change techniques used in CCD program implementation. We found no significant correlation between any behaviour change techniques and child cognitive development outcomes. There was a significant correlation between the techniques of performance and social support, as well as the total number of techniques used, and caregiver behaviour outcomes. This analysis was limited by the quality of reported data available about the program; of 27 total identified papers, only 14 reported quantitative data regarding either child cognitive development or caregiver behaviour change. Inconsistent reporting of this data required us to use a rating system to perform our analysis; we consequently lost specificity. Even those papers that did report quantitative data were subject to methodological flaws; the measures and study designs used did not always inspire confidence in their results. We concluded that CCD is not one single, well-defined program, and that there is an important distinction to be made between CCD-based and CCD-informed programs. The generic Care for Child Development Package (2012) is a framework that contains too many gaps to be easily adaptable. Not enough high-quality studies of this program are available to draw concrete conclusions concerning its effectiveness, in whole or in part.

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)0.057
metaresearch head score (Gemma)0.205
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.303

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0570.205
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.012
Bibliometrics0.0160.022
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.116
GPT teacher head0.433
Teacher spread0.316 · 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 designObservational
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

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueMcGill Science Undergraduate Research JournalSame topicInfant Development and Preterm CareFrench-language works237,207