Evidence map›Paper›PMID 40621172›Full record

ArticleDigital health

Key digital health literacy competencies for citizens - A Delphi study.

Mika Uitto, Merja Hoffrèn-Mikkola, Leena Paakkari

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Mika UittoSeinäjoki University of Applied Sciences, Seinäjoki, Finland.ORCID https://orcid.org/0009-0003-1654-1258
Merja Hoffrèn-MikkolaSeinäjoki University of Applied Sciences, Seinäjoki, Finland.ORCID https://orcid.org/0000-0002-9207-9312
Leena PaakkariFaculty of Sports and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID https://orcid.org/0000-0002-4130-9202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Digital technologies provide citizens with many opportunities to increase control over and improve health, but their use requires digital health literacy. This study aimed to identify the most important competencies that citizens will need over the next 3 years to promote and maintain good health and wellbeing through digital technology. Methods: Using a three-round Delphi method, Finnish experts on digital health ( Results: A broad list of competencies was produced, and the 17 most important were identified. The two most important competencies were the ability to use electronic identification and general IT proficiency. Conclusion: The findings suggest that being digitally health literate in the modern world goes beyond the ability to seek, assess, understand, and apply online health information. It also encompasses electronic identification, general IT proficiency, navigating and using digital health services, accessing personal health records, and ensuring online privacy and security. These results offer important insights into the competencies needed to meet current digital health challenges, with implications for both assessment tools and intervention strategies.

Indexed as

Citizenscompetenciesdigital healthdigital health literacydigital transformationhealthcarehealth promotion

Identifiers

PMID40621172
PMCPMC12227907

What OpenQuestion holds

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LicenceCC BY
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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.