Pilot feasibility study of a digital technology approach to the systematic electronic capture of parent-reported data on cognitive and language development in children aged 2 years

Author:

Modi Neena,Ribas RicardoORCID,Johnson Samantha,Lek Elizabeth,Godambe Sunit,Fukari-Irvine Edit,Ogundipe Enitan,Tusor Nora,Das Nayan,Udayakumaran Abinithya,Moss Becky,Banda Victor,Ougham Kayleigh,Cornelius Victoria,Arasu Anusha,Wardle Steve,Battersby Cheryl,Bravery Amanda

Abstract

BackgroundThe assessment of language and cognition in children at risk of impaired neurodevelopment following neonatal care is a UK standard of care but there is no national, systematic approach for obtaining these data. To overcome these challenges, we developed and evaluated a digital version of a validated parent questionnaire to assess cognitive and language development at age 2 years, the Parent Report of Children’s Abilities-Revised (PARCA-R).MethodsWe involved clinicians and parents of babies born very preterm who received care in north-west London neonatal units. We developed a digital version of the PARCA-R questionnaire using standard software. Following informed consent, parents received automated notifications and an invitation to complete the questionnaire on a mobile phone, tablet or computer when their child approached the appropriate age window. Parents could save and print a copy of the results. We evaluated ease of use, parent acceptability, consent for data sharing through integration into a research database and making results available to the clinical team.ResultsClinical staff approached the parents of 41 infants; 38 completed the e-registration form and 30 signed the e-consent. The digital version of the PARCA-R was completed by the parents of 21 of 23 children who reached the appropriate age window. Clinicians and parents found the system easy to use. Only one parent declined permission to integrate data into the National Neonatal Research Database for approved secondary purposes.DiscussionThis electronic data collection system and associated automated processes enabled efficient systematic capture of data on language and cognitive development in high-risk children, suitable for national delivery at scale.

Funder

NIHR Biomedical Research Centre

Unrestricted funding

Publisher

BMJ

Subject

Health Information Management,Health Informatics,Computer Science Applications

Reference18 articles.

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