Tele-neuropsychological Assessment of Children and Young People: A Systematic Review

Elise J Walker1, Fenella J Kirkham1,2, Hanne Stotesbury1

  • 1Developmental Neurosciences Unit and Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, London, England.

Insights

Pediatric tele-neuropsychology (TeleNP) assessments are feasible and acceptable for children. While generally reliable, further research is needed on specific cognitive domains and diverse populations.

Area of Science:

  • Neuroscience
  • Psychology

Background:

  • The COVID-19 pandemic highlighted the need for remote pediatric neuropsychological assessments (TeleNP).
  • Limited research exists on the reliability and feasibility of TeleNP for pediatric populations.
  • Clinicians require evidence-based guidance for selecting and adapting TeleNP tools.

Purpose of the Study:

  • To systematically review the feasibility, patient/family acceptability, reliability, and literature quality of pediatric tele-neuropsychology assessments.
  • To synthesize current evidence on TeleNP for individuals aged 0-22 years.

Main Methods:

  • A systematic review of studies published between May 2021 and November 2022.
  • Searches conducted on PubMed, PsycINFO, and Google Scholar using terms related to pediatric tele-neuropsychology.
  • Inclusion of 21 studies with data on feasibility, reliability, and acceptability; quality assessed using the AXIS tool.

Main Results:

  • Pediatric TeleNP was generally feasible, with minimal behavioral differences reported.
  • TeleNP was found to be acceptable to patients and families, receiving positive feedback.
  • Nineteen studies assessed reliability; most found no significant differences from in-person assessments for cognitive domains like IQ, though some noted variability in attention and visuo-spatial tests.

Conclusions:

  • Pediatric tele-neuropsychology is a viable assessment method.
  • Further research should focus on a wider range of cognitive domains and employ larger, more diverse samples to enhance generalizability.
  • Improved reporting of demographic data (sex, race, ethnicity) is crucial for literature quality.

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