Exploring factors influencing the use of an eHealth intervention for families of children with hearing loss: An application of the COM-B model. Issue 4 (October 2020)

• Record Type: Journal Article
• Authors: Nickbakht, Mansoureh; Meyer, Carly; Scarinci, Nerina; Beswick, Rachael
• Is Part Of: Disability and health journal. Volume 13:Issue 4(2020)
• Publication Date: 2020-10
• Subjects: Early intervention -- Hearing loss -- Family -- eHealth -- COM-B; People with disabilities -- Health and hygiene -- Periodicals; Health education -- Periodicals; Disabled Persons -- Periodicals; Health Education -- Periodicals; Electronic journals; 362.4
• DOI: 10.1016/j.dhjo.2020.100921
• Languages: English
• ISSNs: 1936-6574

Abstract

Abstract: Background: Prior to developing a successful eHealth intervention, it is important that we explore stakeholders' capacity to adapt to eHealth. Objective: To explore what factors influence the use eHealth services from the perspectives of families of children with hearing loss and professionals who support families as they transition into early intervention. Methods: A qualitative study incorporating semi-structured in-depth interviews was conducted with families (n = 17) and professionals (n = 11). Interview topic guides were developed based on the COM-B model of behaviour change to explore barriers and facilitators related to capability, opportunity, and motivation. Results: The COM-B model captured several factors that may influence the use eHealth interventions for families of children with hearing loss. The capability factors included computer literacy and familiarity with social media. The opportunity factors were access to online resources, reliable Internet, and affordable equipment. Professionals' and families' preferences and a culture of face-to-face services were also identified as barriers for using eHealth. The motivation factors included families' and professionals' confidence in using technology and beliefs that there were benefits (e.g., saving travel) associated with using eHealth services. In contrast, beliefs that eHealth may be difficult to set up and not able to replace in-person communication identified as barriers to families and professionals adopting eHealth interventions. Conclusion: Findings of this study indicated that implementation of an eHealth intervention could be facilitated by addressing the barriers in stakeholders' capabilities, opportunities (e.g., equipment and social support), and motivation (e.g., negative beliefs about eHealth) before developing eHealth services.