Evidence map›Paper›PMID 37364923›Full record

ArticleBMJ health & care informatics2023

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.

Neena Modi, Ricardo Ribas, Samantha Johnson, Elizabeth Lek, Sunit Godambe, Edit Fukari-Irvine, Enitan Ogundipe, Nora Tusor, Nayan Das, Abinithya Udayakumaran and 8 more

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Neena ModiSection of Neonatal Medicine, School of Public Health, Faculty of Medicine, Imperial College London, London, UK n.modi@imperial.ac.uk.
Ricardo RibasSection of Neonatal Medicine, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-8134-0036
Samantha JohnsonDepartment of Population Health Sciences, George Davies Centre, University of Leicester, Leicester, UK.
Elizabeth LekNeonatal Medicine, Hillingdon Hospital, Uxbridge, UK.
Sunit GodambeDepartment of Neonatology, Imperial College Healthcare NHS Trust, London, UK.
Edit Fukari-IrvineNeonatal Medicine, Northwick Park Hospital, London, UK.
Enitan OgundipeDepartment of Neonatology, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK.
Nora TusorDepartment of Neonatology, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK.
Nayan DasImperial College Clinical Trials Unit (ICTU), Imperial College London, London, UK.
Abinithya UdayakumaranImperial College Clinical Trials Unit (ICTU), Imperial College London, London, UK.
Becky MossSection of Neonatal Medicine, School of Primary Care and Public Health, Imperial College London, London, UK.
Victor BandaSection of Neonatal Medicine, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Kayleigh OughamSection of Neonatal Medicine, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Victoria CorneliusImperial College Clinical Trials Unit (ICTU), Imperial College London, London, UK.
Anusha ArasuBritish Association of Neonatal Neurodevelopmental Follow-up, Department of Neonatology, King's College Hospital NHS Foundation Trust, London, UK.
Steve WardleNottingham University Hospitals NHS Trust, Nottingham, UK.
Cheryl BattersbySection of Neonatal Medicine, School of Primary Care and Public Health, Imperial College London, London, UK.
Amanda BraveryImperial College Clinical Trials Unit (ICTU), Imperial College London, London, UK.

Funding

Medical Research Council MR/T016752/1
6 · The paper itself

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. 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.

Indexed as

Digital TechnologyLanguage DevelopmentChildChild, PreschoolCognitionElectronicsFeasibility StudiesHumansInfantInfant, Newbornelectronic health recordsoutcome assessment, health carepatient outcome assessment

Identifiers

PMID37364923
PMCPMC10314588

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.