A systematic review of video‐modelling interventions for children and adolescents with attention‐deficit hyperactivity disorder

Wilkes‐Gillan, Sarah, Cordier, Reinie, Chen, Yu‐Wei, Swanton, Ruth, Mahoney, Natasha, Trimboli, Concettina, Yule, Elisa and Tam, Elaine (2021) A systematic review of video‐modelling interventions for children and adolescents with attention‐deficit hyperactivity disorder. Australian Occupational Therapy Journal, 68 (5). pp. 454-471. ISSN 0045-0766

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Abstract

Objective:
To identify, appraise, and synthesise the evidence for video-modelling interventions for individuals with attention-deficit hyperactivity disorder (ADHD).

Method:
We searched four electronic databases. Two independent researchers screened abstracts and methodologically assessed data using the Kmet appraisal checklist.

Results:
A total of 15 studies met the inclusion criteria (11 original studies and four follow-up studies). Of the 11 original studies, one was a randomised controlled trial, one was a controlled between-group comparative design, two were one group pre-test post-test studies, one was an experimental 2 × 2 factorial design, and six were single-case experimental design studies. Studies included 1–35 participants with ADHD aged 5–16 years. Three studies targeted behaviour, three targeted social play skills, two targeted social behaviour, one targeted social skills, one targeted goal orientation and friendship quality, targeted and one attention/comprehension of social behaviour. In four studies video-modelling was the whole intervention, with no other intervention components reported. Nine studies reported positive outcomes immediately after intervention, two studies reported mixed findings. All studies were found to have good or strong methodological quality.

Conclusion:
There is preliminary evidence to suggest video-modelling may be a promising intervention approach for targeting the social skills and behaviours of individuals with ADHD when used in conjunction with other intervention components. Future studies need to lower the risk of bias and use larger sample sizes before the efficacy of video-modelling interventions can be fully investigated.

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