Bridging the digital health divide: a narrative review of the causes, implications, and solutions for digital health inequalities

Max J. Western*, Eline S. Smit, Thomas Gültzow, Efrat Neter, Falko F. Sniehotta, Olivia S. Malkowski, Charlene Wright, Heide Busse, Carmen Peuters, Lucia Rehackova, Angelo Gabriel Oteșanu, Ben Ainsworth, Christopher M. Jones, Michael Kilb, Angela M. Rodrigues, Olga Perski, Alison Wright, Laura König

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

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Abstract

Digital health interventions have the potential to improve health at a large scale globally by improving access to healthcare services and health-related information, but they tend to benefit more affluent and privileged groups more than those less privileged. In this narrative review, we describe how this “digital health divide” can manifest across three different levels reflecting inequalities in access, skills and benefits or outcomes (i.e., the first, second and tertiary digital divide). We also discuss four key causes of this digital divide: 1) digital health literacy as a fundamental determinant; 2) other personal, social, community and societal level determinants; 3) how technology and intervention development contribute to; and 4) how current research practice exacerbates the digital health divide by developing a biased evidence base. Finally, we formulate implications for research, policy and practice. Specific recommendations for research include to keep digital health interventions and measurement instruments up to date with fast-paced technological changes, and to involve diverse populations in digital intervention development and evaluation research. For policy and practice, examples of recommendations are to insist on inclusive and accessible design of health technology, and to ensure support for digital health intervention enactment prioritises those most vulnerable to the digital divide. We conclude by highlighting the importance of addressing the digital health divide to ensure that as digital technologies' inevitable presence grows, it does not leave those who could benefit most from innovative health technology behind.
Original languageEnglish
Article number2493139
Pages (from-to)1-20
Number of pages20
JournalHealth Psychology and Behavioral Medicine
Volume13
Issue number1
Early online date23 Apr 2025
DOIs
Publication statusE-pub ahead of print - 23 Apr 2025

Keywords

  • Digital divide
  • inequalities
  • socio-ecological model
  • eHealth

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