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Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study.

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Public trust in health apps hinges on personal needs for low-risk tools and authoritative evidence for high-risk ones. Understanding these expectations is key for digital health innovation and safety.

Keywords:
diagnostic toolsdigital healtheffectivenessevidence of effectivenesshealth apphealth riskhealth risk perceptionmobile appsmobile phonepublic expectationspublic healthpublic trustsafetywell-being

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Area of Science:

  • Digital Health
  • Health Technology Assessment
  • Public Health

Background:

  • The proliferation of health apps outpaces scientific validation, creating a debate on evidence requirements.
  • Public perspectives are underrepresented in discussions about digital health evidence generation.
  • Risk perception varies significantly from wellness apps to diagnostic tools.

Purpose of the Study:

  • To explore public understanding of evidence needed for health app effectiveness.
  • To investigate public expectations regarding evidence at different health risk levels.

Main Methods:

  • Four focus groups with diverse UK adults (18+).
  • Discussion of evidence for hypothetical low-risk to high-risk health apps.
  • Reflexive thematic analysis of qualitative data.

Main Results:

  • Five themes emerged: personal needs, functionality, social approval, testing expectations, and authority.
  • Low-risk apps were judged by personal experience and social proof.
  • High-risk apps prompted a preference for authoritative evidence (e.g., government endorsements).

Conclusions:

  • Public preference for evidence is personal for low-risk apps but shifts to authoritative sources for high-risk apps.
  • These insights should inform developers, regulators, and policymakers on balancing innovation, safety, and trust.
  • Public engagement and transparency in app development are crucial for building trust in digital health technologies.