Evidence map›Paper›PMID 38289381›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2024

[Social inequality in the context of digital health applications: digital divides in access, use, effectiveness, and privacy].

Tilman Brand, Paula Herrera-Espejel, Saskia Muellmann, Rebekka Wiersing, Heide Busse

Abstract readEnglish AbstractReview
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. [Relevance of eHealth Literacy (eHL) for health services research and practice - Part II].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tilman BrandLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland. brand@leibniz-bips.de.
Paula Herrera-EspejelLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland.
Saskia MuellmannLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland.
Rebekka WiersingLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland.
Heide BusseLeibniz-Institut für Präventionsforschung und Epidemiologie - BIPS, Achterstr. 30, 28359, Bremen, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the massive increase in digital health tools, the question about the impact of these tools on health equity has gained importance. The aim of this narrative review is to discuss the extent and central aspects of the digital divide. To illustrate the extent of the digital divide, we draw on data from the Liter@te study, which interviewed low-literacy individuals regarding their use of digital health tools and their digital health literacy. The results of the Liter@te study are compared with population surveys conducted in parallel. Four areas can be distinguished in relation to digital divides: access, use, effectiveness, and privacy. Inequalities can be observed in all four areas. While differences in access or material infrastructure, as well as in usage patterns and the required literacies, have already been investigated in some studies, the data basis for a comprehensive assessment of the unequal effects of digital health tools in different population groups is still lacking. Digital divides in the area of privacy protection is an emerging field. However, transparent and understandable privacy measures will undoubtedly be an important prerequisite for the widespread use of digital health tools. Overall, in addition to a better data base, involvement of disadvantaged population groups in the development of digital health interventions is necessary.

Indexed as

Digital DivideDigital HealthGermanyHumansPrivacySocioeconomic FactorsDigital health literacyDigitalizationEquityLanguage skillsPrevention

Identifiers

PMID38289381
PMCPMC10927846

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.