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Record W7125941356 · doi:10.7860/jcdr/2025/80480.22661

Long-Term Effi cacy of a Home-Based Intervention for Toddlers with Developmental Delays

2025· article· W7125941356 on OpenAlexaboutno aff
Hemali Mehta, KANIKA MARKAN

Bibliographic record

VenueJOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH · 2025
Typearticle
Language
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsToddlerIntervention (counseling)Motor skillBayley Scales of Infant DevelopmentGross motor skillChild development

Abstract

fetched live from OpenAlex

Background: Developmental delays in toddlers require early and consistent intervention. A ten weeks home-based intervention program was designed to improve adaptive functioning in children with developmental delays. Purpose: The purpose is to compare children diagnosed with delayed milestones who have undergone intervention training with those who have not received it. Materials and Methods: Fourteen children with developmental delays, aged 1-4 years were randomly selected and assigned to either a control group or a home-based intervention group of seven children each. The control group received standard physiotherapy, while the intervention group had core stability training with strength and motor skill development. Both groups were evaluated preand post-treatment using Bayley Scales of Infant and Toddler Development (BSID), Peabody Developmental Motor Scales– Second Edition (PDMS-2), and Alberta Infant Motor Scale (AIMS). Results: We observed a statistically signifi cant improvement in strength and motor skills among children who underwent the 10- week intervention compared to those in the control group receiving regular physiotherapy. Conclusion: The home based intervention program demonstrated improved effi cacy in enhancing motor skills in children. Caregivers played a pivotal role in sustaining these gains.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.120
GPT teacher head0.480
Teacher spread0.361 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

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