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Brief Research Report ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Psychiatry | doi: 10.3389/fpsyt.2019.00861

Video analysis of parent-child interactions in behavioural sleep disorders: development of a scoring algorithm.

 Lorna P. Galbraith1,  Kim Bull2 and Catherine M. Hill2, 3*
  • 1Faculty of Medicine, University of Southampton, United Kingdom
  • 2Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, United Kingdom
  • 3Southampton Children's Hospital, United Kingdom

Introduction: Behavioural sleep disorders, including chronic insomnia (CI), are generally assessed by subjective parent interview. However, evidence suggests that parental report of children’s overnight behaviours is unreliable, perhaps due to recall bias or confusion due to sleep deprivation. Video technology has been used clinically to capture complex behavioural disorders in children during the day. However, there is no standardised means of analysing child and parent behaviour at bedtime or during the night. We aimed to create an algorithm for this purpose.
Methods: Child brain tumour survivors (a population previously shown to have a high prevalence of CI) were screened for difficulties initiating and maintaining sleep using sub-scales from the Sleep Disturbance Scale for Children. Those who screened positive (n=3) then completed a detailed parent interview to confirm a clinical diagnosis of CI. One night of home video footage was obtained from initial settling period to morning waking (SOMNOmedics camera). Footage was imported into BORIS© software and a coding system for parent and child behaviour was developed over multiple iterations until agreeable inter-rater reliability (>70%) was achieved between two independent coders.
Results: The final coding categories were: 1) Time domains, 2) Physical environment, 3) Child global status, 4) Location, 5) Activity and 6) Physical interaction. This achieved 74% inter-reliability in its last iteration.
Discussion: A statistically acceptable behaviour scoring algorithm was achieved. With further development, this tool could be applied clinically to investigate behavioural insomnia and in research to provide more objective outcome measurement.

Keywords: tool, Sleep, Child, insomnia, behaviour

Received: 24 Jul 2019; Accepted: 01 Nov 2019.

Copyright: © 2019 Galbraith, Bull and Hill. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Catherine M. Hill, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, SO171BJ, Hampshire, United Kingdom,