A non-specialist worker delivered digital assessment of cognitive development (DEEP) in young children: A longitudinal validation study in rural India.

Cognitive development in early childhood is critical for life-long well-being. Existing cognitive development surveillance tools require lengthy parental interviews and observations of children. Developmental Assessment on an E-Platform (DEEP) is a digital tool designed to address this gap by provid...

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Main Authors: Supriya Bhavnani, Alok Ranjan, Debarati Mukherjee, Gauri Divan, Amit Prakash, Astha Yadav, Chaman Lal, Diksha Gajria, Hiba Irfan, Kamal Kant Sharma, Smita Todkar, Vikram Patel, Gareth McCray
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-05-01
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000824
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author Supriya Bhavnani
Alok Ranjan
Debarati Mukherjee
Gauri Divan
Amit Prakash
Astha Yadav
Chaman Lal
Diksha Gajria
Hiba Irfan
Kamal Kant Sharma
Smita Todkar
Vikram Patel
Gareth McCray
author_facet Supriya Bhavnani
Alok Ranjan
Debarati Mukherjee
Gauri Divan
Amit Prakash
Astha Yadav
Chaman Lal
Diksha Gajria
Hiba Irfan
Kamal Kant Sharma
Smita Todkar
Vikram Patel
Gareth McCray
author_sort Supriya Bhavnani
collection DOAJ
description Cognitive development in early childhood is critical for life-long well-being. Existing cognitive development surveillance tools require lengthy parental interviews and observations of children. Developmental Assessment on an E-Platform (DEEP) is a digital tool designed to address this gap by providing a gamified, direct assessment of cognition in young children which can be delivered by front-line providers in community settings. This longitudinal study recruited children from the SPRING trial in rural Haryana, India. DEEP was administered at 39 (SD 1; N = 1359), 60 (SD 5; N = 1234) and 95 (SD 4; N = 600) months and scores were derived using item response theory. Criterion validity was examined by correlating DEEP-score with age, Bayley's Scales of Infant Development (BSID-III) cognitive domain score at age 3 and Raven's Coloured Progressive Matrices (CPM) at age 8; predictive validity was examined by correlating DEEP-scores at preschool-age with academic performance at age 8 and convergent validity through correlations with height-for-age z-scores (HAZ), socioeconomic status (SES) and early life adversities. DEEP-score correlated strongly with age (r = 0.83, 95% CI 0.82 0.84) and moderately with BSID-III (r = 0.50, 0.39 - 0.60) and CPM (r = 0.37; 0.30 - 0.44). DEEP-score at preschool-age predicted academic outcomes at school-age (0.32; 0.25 - 0.41) and correlated positively with HAZ and SES and negatively with early life adversities. DEEP provides a valid, scalable method for cognitive assessment. It's integration into developmental surveillance programs could aid in monitoring and early detection of cognitive delays, enabling timely interventions.
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spelling doaj-art-e3ad404b4f1b4b0aa6bf4754284ca03d2025-08-20T03:08:56ZengPublic Library of Science (PLoS)PLOS Digital Health2767-31702025-05-0145e000082410.1371/journal.pdig.0000824A non-specialist worker delivered digital assessment of cognitive development (DEEP) in young children: A longitudinal validation study in rural India.Supriya BhavnaniAlok RanjanDebarati MukherjeeGauri DivanAmit PrakashAstha YadavChaman LalDiksha GajriaHiba IrfanKamal Kant SharmaSmita TodkarVikram PatelGareth McCrayCognitive development in early childhood is critical for life-long well-being. Existing cognitive development surveillance tools require lengthy parental interviews and observations of children. Developmental Assessment on an E-Platform (DEEP) is a digital tool designed to address this gap by providing a gamified, direct assessment of cognition in young children which can be delivered by front-line providers in community settings. This longitudinal study recruited children from the SPRING trial in rural Haryana, India. DEEP was administered at 39 (SD 1; N = 1359), 60 (SD 5; N = 1234) and 95 (SD 4; N = 600) months and scores were derived using item response theory. Criterion validity was examined by correlating DEEP-score with age, Bayley's Scales of Infant Development (BSID-III) cognitive domain score at age 3 and Raven's Coloured Progressive Matrices (CPM) at age 8; predictive validity was examined by correlating DEEP-scores at preschool-age with academic performance at age 8 and convergent validity through correlations with height-for-age z-scores (HAZ), socioeconomic status (SES) and early life adversities. DEEP-score correlated strongly with age (r = 0.83, 95% CI 0.82 0.84) and moderately with BSID-III (r = 0.50, 0.39 - 0.60) and CPM (r = 0.37; 0.30 - 0.44). DEEP-score at preschool-age predicted academic outcomes at school-age (0.32; 0.25 - 0.41) and correlated positively with HAZ and SES and negatively with early life adversities. DEEP provides a valid, scalable method for cognitive assessment. It's integration into developmental surveillance programs could aid in monitoring and early detection of cognitive delays, enabling timely interventions.https://doi.org/10.1371/journal.pdig.0000824
spellingShingle Supriya Bhavnani
Alok Ranjan
Debarati Mukherjee
Gauri Divan
Amit Prakash
Astha Yadav
Chaman Lal
Diksha Gajria
Hiba Irfan
Kamal Kant Sharma
Smita Todkar
Vikram Patel
Gareth McCray
A non-specialist worker delivered digital assessment of cognitive development (DEEP) in young children: A longitudinal validation study in rural India.
PLOS Digital Health
title A non-specialist worker delivered digital assessment of cognitive development (DEEP) in young children: A longitudinal validation study in rural India.
title_full A non-specialist worker delivered digital assessment of cognitive development (DEEP) in young children: A longitudinal validation study in rural India.
title_fullStr A non-specialist worker delivered digital assessment of cognitive development (DEEP) in young children: A longitudinal validation study in rural India.
title_full_unstemmed A non-specialist worker delivered digital assessment of cognitive development (DEEP) in young children: A longitudinal validation study in rural India.
title_short A non-specialist worker delivered digital assessment of cognitive development (DEEP) in young children: A longitudinal validation study in rural India.
title_sort non specialist worker delivered digital assessment of cognitive development deep in young children a longitudinal validation study in rural india
url https://doi.org/10.1371/journal.pdig.0000824
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