Cited by 358Health Literacy and Information AccessibilityDigital literacy in educationICT in Developing Communities

Digital health literacy as a super determinant of health: More than simply the sum of its parts

Open access
van Kessel, Robin, Wong, Brian Li Han, Clemens, Timo, Brand, Helmut·2022·Internet Interventions

Abstract

•Civic literacy refers to the ability to engage meaningfully with one's community.•Digital, health, and civic literacy are key predictors for digital health literacy.•The extent to which these three affect digital health literacy remains unclear.•Building digital health literacy is vital to limit inequalities from expanding.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.invent.2022.100500

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Digital health literacy has been related to better health outcomes, treatment adherence, motivation, adaptive health behaviors, and higher trust in healthcare providers.

    “It has been related to better health outcomes, treatment adherence, motivation, adaptive health behaviors, and higher trust in healthcare providers (van Kessel et al., 2022).”

    From Sociodemographics and Digital Health Literacy in Using Wearables for Health Promotion and Disease Prevention: Cross-Sectional Nationwide Survey in Germany (2025) · cites this paper as van Kessel et al., 2022

    In the paper’s main text (indexed under Abstract; page unavailable), digital health literacy is described as important for achieving health and well-being, and improving it is suggested as a way to address lack of trust in digital health services. That offers broad support for the health-outcomes portion, but the paper does not report the claimed links to treatment adherence, motivation, or adaptive health behaviors; its discussion of trust concerns digital services, not healthcare providers. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Of the 149 participants who took part in both rounds, 63 (42.6%) were based in high-income countries and 19 (12.8%) in low-income countries.

    “Of those who took part in both rounds (149 participants), 63 (42.6%) were based in high-income countries and 19 (12.8%) in low-income countries (World Bank country income classification).54”

    From The Digital Health Competencies in Medical Education Framework (2025) · cites this paper as [54]

    The Data availability section says no data were generated for this article, and the passages retrieved from our copy do not report participants taking part in two rounds. Searches for the participant counts and the World Bank income classifications found no passage supporting the stated figures. (LLM, conf=0.74)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Honeyman M. Maguire D. Evans H. Davies A. Available from: Digital Technology and Health Inequalities: A Scoping Review [Internet] 2020 Public Health Wales NHS Trust Cardiff 44 https://phw.nhs.wales/publications/publications1/digital-technology-and-health-inequalities-a-scoping-review/
  2. Joint Research Centre (European Commission) Carretero S. Vuorikari R. Punie Y. den Brande L.V. DigComp 2.0: the digital competence framework for citizens [Internet]. LU: Publications Office of the European Union [cited 2021 Jun 30]. Available from: 2017 978-92-79-58876-1 https://data.europa.eu/doi/10.2791/11517 · DOI

Cited by

Sorted by citations

Authors
van Kessel, R., Wong, B. L. H., Clemens, T., & Brand, H.
Affiliations
  • World Health Organization (CH)
  • Maastricht University (NL)
  • Manipal Academy of Higher Education (IN)
Venue
Internet Interventions
Publisher
Elsevier BV
Published
2022-03
Volume
27
Pages
100500
ISSN
2214-7829 (ISSN-L)
OpenAlex
W4210299011
Cited by
358
References
14
Citations by year
2026: 102 · 2025: 111 · 2024: 74 · 2023: 55 · 2022: 16
FWCI
73.48
Type
journal article
Language
en
Open access
Locations
  • Internet Interventions (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
Funders
World Health Organization
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
  • Physical Sciences › Computer Science › Information Systems › Digital literacy in education
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
Keywords
digital health literacy, civic literacy, health literacy, digital literacy, health disparities, community participation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review