Co-developing ‘The CyberABIlity Scale’ to assess vulnerability to cyberscams for people with acquired brain injury: Delphi and cognitive interviews with clinicians and people with acquired brain injury

Jao Yue J. Carminati, Jennie L. Ponsford, Kate Rachel Gould

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)


Background. Although individuals with acquired brain injury (ABI) may be vulnerable to cyberscams, the lack of existing measures documenting cybersafety behaviours in people with ABI limits our understanding of ABI-specific risk factors, the frequency of this problem, and the ability to evaluate evidence-based interventions. The CyberABIlity Scale was developed to assess vulnerability in people with ABI via self-rated statements and practical scam-identification tasks. This study aimed to develop and refine The CyberABIlity Scale through feedback from clinicians and people with ABI. Methods. Scale feedback was collected via three rounds of clinician surveys (n = 14) using Delphi methods and two rounds of cognitive interviews with participants with ABI (n = 8). Following each round, feedback was quantitatively and qualitatively summarised, and revisions were made accordingly. Results. Key revisions included removing 12 items deemed irrelevant. Instructions and rating scales were revised to improve clarity. Cognitive interviews identified 15 comprehension errors, with further revisions made to support response clarity for participants with ABI. Clinicians and participants with ABI endorsed the content and face validities of The CyberABIlity Scale. Conclusions. Following further validation, The CyberABIlity Scale has the potential to be an effective screening measure for online vulnerability for people with ABI within clinical and research settings.

Original languageEnglish
Article numberIB23065
Number of pages15
JournalBrain Impairment
Issue number1
Publication statusPublished - 29 Jan 2024


  • acquired brain injury
  • cognitive interviewing
  • cybercrime
  • cyberscams
  • delphi method
  • measure development
  • validation

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