Chronic disease is the leading cause of death and disability and the leading driver of annual healthcare costs ($3.5 trillion in annual healthcare costs (CDC 2019)) in the United States. Digital health interventions (DHIs), defined as health interventions delivered via smartphones and websites, hold great potential for patient’s self-management of chronic health conditions across the continuum of care. Despite the potential of DHIs, challenges preventing the full realization of the DHI benefits still exist. One of the major challenges is low user engagement, which involves both behavioral (i.e., offline engagement outside the context of DHI) and technological (i.e., usage) engagement with DHIs. One possible explanation for problematic user engagement is DHI’s failure to feel relevant to patients. Although the concept of relevance received significant attention in various disciplines (e.g., information science, philosophy, communications, marketing), it is not clear what relevance means in the context of DHI design. Therefore, this study aims to develop a psychometrically sound and robust measure of digital health design relevance from the patient’s perspective.
Durneva, Polina, "Leveraging the Biopsychosocial Model of Health to Assess Perceived Relevance of Digital Health: Scale Development" (2021). AMCIS 2021 TREOs. 5.
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