Pilot feasibility study of a digital technology approach to the systematic electronic capture of parent-reported data

Neena Modi1, Ricardo Ribas2, Samantha Johnson3

  • 1Section of Neonatal Medicine, School of Public Health, Faculty of Medicine, Imperial College London, London, UK n.modi@imperial.ac.uk.

PubMed

Insights

A new digital Parent Report of Children's Abilities-Revised (PARCA-R) questionnaire efficiently collects language and cognitive data in high-risk children. This system streamlines data capture for national delivery, improving neurodevelopmental assessments.

Area of Science:

  • Pediatric Neurodevelopment
  • Digital Health Technologies
  • Clinical Data Management

Background:

  • UK standard of care mandates neurodevelopmental assessment for high-risk neonates.
  • Lack of a national, systematic approach hinders data collection for these children.
  • The Parent Report of Children's Abilities-Revised (PARCA-R) is a validated tool for assessing cognitive and language development.

Purpose of the Study:

  • To develop and evaluate a digital version of the PARCA-R questionnaire.
  • To assess the feasibility and acceptability of electronic data collection for pediatric neurodevelopmental assessments.
  • To enable efficient, systematic data capture for children at risk of impaired neurodevelopment.

Main Methods:

  • A digital version of the PARCA-R was developed using standard software.
  • Parents of preterm infants in North West London neonatal units were invited to complete the questionnaire via mobile devices.
  • Ease of use, parent acceptability, and consent for data sharing were evaluated.

Main Results:

  • High rates of e-registration (38/41) and e-consent (30/38) were achieved.
  • The digital PARCA-R was successfully completed by parents of 21/23 eligible children.
  • Clinicians and parents reported the system was easy to use, with high consent for data integration into a research database.

Conclusions:

  • An electronic data collection system with automated processes facilitates efficient and systematic capture of developmental data.
  • This digital approach is suitable for large-scale, national implementation.
  • The system enhances the assessment of language and cognitive development in high-risk children.
Abstract