Cited by 350Mobile Health and mHealth ApplicationsHealth, Technology, Consumer BehaviorHealth Literacy and Information Accessibility

Differences in mobile health app use: A source of new digital inequalities?

Open access
Bol, Nadine, Helberger, Natali, Weert, Julia C. M.·2018·The Information Society

Abstract

This article provides a more differentiated understanding of mobile health consumers, and considers whether health app use may contribute to new digital inequalities. It focuses on factors associated with mobile health app use, and identifies which factors explain the use of different types of health apps. Data from a large representative sample of the Dutch population (N = 1,079) show that mobile health app users were generally younger, higher educated, and had higher levels of e-health literacy skills than non-users. Interestingly, different usage patterns were found for specific types of health apps. Theory and policy implications are discussed.

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Crossref · 10.1080/01972243.2018.1438550

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  • Health literacy in the digital era may be considered a prerequisite for solving health problems in web-based environments.

    “Third, as health literacy in the digital era may be considered a prerequisite for solving health problems in web-based environments [44], it requires people to better understand mobile health devices such as mobile health apps and how to obtain health information through the internet.”
  • Health app usage has been associated with higher levels of education and less socioeconomic deprivation.

    “Although smartphones are used by a large majority of the global population and have been suggested to constitute a potential solution to reach individuals with a low socioeconomic position with health messages, health app usage has been associated with higher levels of education and less socioeconomic deprivation [50–52].”
  • It is not entirely clear whether mHealth technologies may decrease or increase health inequalities.

    “Therefore, it is not entirely clear whether mHealth technologies may decrease or increase health inequalities [50].”

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Research works printed but not linked: 2

  1. Hargittai, E. 2010. Minding the digital gap: Why understanding digital inequality matters . In S. Papathanassopoulos (Ed.), Media perspectives for the 21st century (pp. 231 -240). Routledge.
  2. Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. User acceptance of information technology: Toward a uni fi ed view. MIS Quarterly 27 (3):425 -78. doi:10.2307/ 30036540.

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Authors
Bol, N., Helberger, N., & Weert, J. C. M.
Affiliations
University of Amsterdam (NL)
Corresponding author
Bol, Nadine
Venue
The Information Society
Published
2018-04-26
Volume
34
Issue
3
Pages
183-193
ISSN
  • 0197-2243 (ISSN-L)
  • 1087-6537
OpenAlex
W2802043004
Cited by
350
References
50
Citations by year
2026: 23 · 2025: 51 · 2024: 47 · 2023: 59 · 2022: 70 · 2021: 49 · 2020: 30 · 2019: 18 · 2018: 3
FWCI
38.34
Type
journal article
Language
en
Open access
Locations
  • The Information Society (publishedVersion)
  • UvA-DARE (University of Amsterdam) (submittedVersion, cc-by-nc-nd)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders
Research Priority Area “Personalized Communication” of the University of Amsterdam
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
  • Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
Keywords
mobile health apps, digital inequality, digital health literacy, health technology adoption, digital divide

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