Autor: |
Neena Modi, Samantha Johnson, Sunit Godambe, Elizabeth Lek, Victoria Cornelius, Anusha Arasu, Becky Moss, Kayleigh Ougham, Ricardo Ribas, Enitan Ogundipe, Edit Fukari-Irvine, Nora Tusor, Nayan Das, Abinithya Udayakumaran, Victor Banda, Steve Wardle, Amanda Bravery |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
BMJ Health & Care Informatics, Vol 30, Iss 1 (2023) |
Druh dokumentu: |
article |
ISSN: |
2632-1009 |
DOI: |
10.1136/bmjhci-2023-100781 |
Popis: |
Background The 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).Methods We 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.Results Clinical 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.Discussion This 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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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