Effectiveness of Digital Health Interventions in Reducing Bullying and Cyberbullying: A Meta-Analysis

Qiqi Chen, Ko Ling Chan (Corresponding Author), Shaolingyun Guo, Mengtong Chen, Camilla Kin-ming Lo, Patrick Ip

Research output: Journal article publicationJournal articleAcademic researchpeer-review

21 Citations (Scopus)

Abstract

Bullying and cyberbullying bring adverse physical and psychological impacts on individuals and an economic burden for society. Scholars have developed anti-bullying intervention programs to combat these problems. This meta-analysis aims to examine and compare the effectiveness of digital health interventions (DHIs) in reducing bullying and cyberbullying. A comprehensive search was conducted using databases (PsycINFO, Social Service Abstracts, Sociological Abstracts, MEDLINE, ERIC, and EMBASE). Quasi-experimental and randomized controlled trials (RCTs) published before 31 January 2021 that reported the effects of DHIs in reducing bullying or cyberbullying were included. The 16 studies included in the synthesis reported overall random effect sizes (Cohen?s d) for bullying and cyberbullying reduction were 0.41 and 0.19, respectively. The results provide evidence on the effectiveness of DHIs, comparable to that of face-to-face interventions. The subgroup analysis revealed that the critical components of effective DHIs include training on bystander and bully?victim dual roles, coping skills, and interactive serious games. It highlights the promising effects of digital health approaches in bullying and cyberbullying interventions. Our review identifies avenues for future research on the development of more effective DHIs to reduce bullying and cyberbullying.
Original languageEnglish
Article number15248380221082090
Pages (from-to)1986-2002
Number of pages17
JournalTrauma, Violence, & Abuse
Volume24
Issue number3
DOIs
Publication statusPublished - 1 Jul 2023

Keywords

  • bullying
  • cyberbullying
  • digital health
  • effectiveness
  • intervention
  • meta-analysis

ASJC Scopus subject areas

  • Health(social science)
  • Public Health, Environmental and Occupational Health
  • Applied Psychology

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