2020
DOI: 10.1136/bmjopen-2020-037335
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Enhancing early detection of neurological and developmental disorders and provision of intervention in low-resource settings in Uttar Pradesh, India: study protocol of the G.A.N.E.S.H. programme

Abstract: IntroductionAround 9% of India’s children under six are diagnosed with neurodevelopmental disorders. Low-resource, rural communities often lack programmes for early identification and intervention. The Prechtl General Movement Assessment (GMA) is regarded as the best clinical tool to predict cerebral palsy in infants <5 months. In addition, children with developmental delay, intellectual disabilities, late detected genetic disorders or autism spectrum disorder show abnormal general movements (GMs) during in… Show more

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Cited by 16 publications
(17 citation statements)
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“…(2) 97 infants from an on‐going project of the General Movement Assessment in Neonates for Early Identification and Intervention, Social Support and Health Awareness (G.A.N.E.S.H.) project 27 . The G.A.N.E.S.H.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…(2) 97 infants from an on‐going project of the General Movement Assessment in Neonates for Early Identification and Intervention, Social Support and Health Awareness (G.A.N.E.S.H.) project 27 . The G.A.N.E.S.H.…”
Section: Methodsmentioning
confidence: 99%
“…project, GMA‐certified community health workers, video recorded all participating infants at 3–5 months of age. Infants were recorded using smartphones in the parents' home, in health camps or in primary health centers 27 . Assessment of the MOS‐R were performed independently during the period of January 2020 to December 2021 by two experienced assessors (CE and MT).…”
Section: Methodsmentioning
confidence: 99%
“…Network development commenced during this study; clinicians from around the state were invited to early detection training, supported through the GMA CoP, and clinical outreach services were initiated. Successful implementation of population screening of infants at fidgety age using GMA,48 facilitated by machine learning algorithms to automate scoring49 is under investigation50 to provide an accessible, sustainable method of identifying all infants at risk early 51. In addition to accurate identification of risk, success will require a system for secure transfer of results, clinical validation, good communication with parents and clear pathways to fast track referral to specialised early intervention services.…”
Section: Discussionmentioning
confidence: 99%
“…However, such a procedure may not be feasible in the absence of cameras and smartphones. To counter this deficiency, community health workers or ASHAs can be trained to film the movements [10], which can be scored distantly by certified assessors with specific high-quality training. Despite all these technicalities, GMA is much easier to be carried out than most neurodevelopmental assessments.…”
Section: Invited Commentarymentioning
confidence: 99%