TY - JOUR
T1 - Bridging the digital health divide
T2 - a narrative review of the causes, implications, and solutions for digital health inequalities
AU - Western, Max J.
AU - Smit, Eline S.
AU - Gültzow, Thomas
AU - Neter, Efrat
AU - Sniehotta, Falko F.
AU - Malkowski, Olivia S.
AU - Wright, Charlene
AU - Busse, Heide
AU - Peuters, Carmen
AU - Rehackova, Lucia
AU - Gabriel Oteșanu, Angelo
AU - Ainsworth, Ben
AU - Jones, Christopher M.
AU - Kilb, Michael
AU - Rodrigues, Angela M.
AU - Perski, Olga
AU - Wright, Alison
AU - König, Laura
N1 - Publisher Copyright:
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2025
Y1 - 2025
N2 - Background: 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. Methods: 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: (i)) digital health literacy as a fundamental determinant; (ii) other personal, social, community, and societal level determinants; (iii) how technology and intervention development contribute to; and (iv) how current research practice exacerbates the digital health divide by developing a biased evidence base. Finally, we formulate implications for research, policy, and practice. Results: Specific recommendations for research include to keep digital health interventions and measurement instruments up to date with fastpaced 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. Conclusion: 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.
AB - Background: 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. Methods: 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: (i)) digital health literacy as a fundamental determinant; (ii) other personal, social, community, and societal level determinants; (iii) how technology and intervention development contribute to; and (iv) how current research practice exacerbates the digital health divide by developing a biased evidence base. Finally, we formulate implications for research, policy, and practice. Results: Specific recommendations for research include to keep digital health interventions and measurement instruments up to date with fastpaced 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. Conclusion: 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.
KW - Digital divide
KW - eHealth
KW - inequalities
KW - socio-ecological model
U2 - 10.1080/21642850.2025.2493139
DO - 10.1080/21642850.2025.2493139
M3 - Review Article
AN - SCOPUS:105003392182
SN - 2164-2850
VL - 13
JO - Health Psychology And Behavioral Medicine
JF - Health Psychology And Behavioral Medicine
IS - 1
M1 - 2493139
ER -