Evidence map›Paper›PMID 38450136›Full record

ReviewFrontiers in public health2024

Customization options in consumer health information materials on type-2 diabetes mellitus-an analysis of modifiable features in different types of media.

Cornelia Krenn, Thomas Semlitsch, Carolin Zipp, Stefan Lengauer, Lin Shao, Tobias Schreck, Michael Bedek, Cordula Kupfer, Dietrich Albert, Bettina Kubicek and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 5 institutions in 2 countries.

Cornelia KrennInstitute of General Practice and Evidence-based Health Services Research, Medical University of Graz, Graz, Austria.
Thomas SemlitschInstitute of General Practice and Evidence-based Health Services Research, Medical University of Graz, Graz, Austria.
Carolin ZippInstitute of General Practice and Evidence-based Health Services Research, Medical University of Graz, Graz, Austria.
Stefan LengauerInstitute of Computer Graphics and Knowledge Visualization, Graz University of Technology, Graz, Austria.
Lin ShaoInstitute of Computer Graphics and Knowledge Visualization, Graz University of Technology, Graz, Austria.
Tobias SchreckInstitute of Computer Graphics and Knowledge Visualization, Graz University of Technology, Graz, Austria.
Michael BedekInstitute of Psychology, University of Graz, Graz, Austria.
Cordula KupferInstitute of Psychology, University of Graz, Graz, Austria.
Dietrich AlbertInstitute of Psychology, University of Graz, Graz, Austria.
Bettina KubicekInstitute of Psychology, University of Graz, Graz, Austria.
Andrea SiebenhoferInstitute of General Practice and Evidence-based Health Services Research, Medical University of Graz, Graz, Austria.
Klaus JeitlerInstitute of General Practice and Evidence-based Health Services Research, Medical University of Graz, Graz, Austria.
Medical University of Graz · ATUniversity of Graz · ATGraz University of Technology · ATFraunhofer Austria · ATGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The understanding of health-related information is essential for making informed decisions. However, providing health information in an understandable format for everyone is challenging due to differences in consumers' health status, disease knowledge, skills, and preferences. Tailoring health information to individual needs can improve comprehension and increase health literacy. Objective: The aim of our research was to analyze the extent to which consumers can customize consumer health information materials (CHIMs) for type-2 diabetes mellitus through various media types. Methods: We conducted a comprehensive search for various CHIMs across various media types, such as websites, apps, videos, and printed or printable forms. A representative sample of CHIMs was obtained for analysis through blocked randomization across the various media types. We conducted a quantitative content analysis to determine the frequency of user-centered customization options. Cross-comparisons were made to identify trends and variations in modifiable features among the media. Results: In our representative sample of 114 CHIMs, we identified a total of 24 modifiable features, which we grouped into five main categories: (i) language, (ii) text, (iii) audiovisual, (iv) presentation, and (v) medical content. Videos offered the most customization opportunities (95%), while 47% of websites and 26% of apps did not allow users to tailor health information. None of the printed or printable materials provided the option to customize the information. Overall, 65% of analyzed CHIMs did not allow users to tailor health information according to their needs. Conclusion: Our results show that CHIMs for type-2 diabetes mellitus could be significantly improved by providing more customization options for users. Further research is needed to investigate the effectiveness and usability of these options to enhance the development and appropriate provision of modifiable features in health information.

Indexed as

Consumer Health InformationDiabetes Mellitus, Type 2Health LiteracyDecision MakingHealth StatusHumansconsumer health informationhealth literacytailoring health informationtype-2 diabetes mellitususer-centered customization options

Identifiers

PMID38450136
PMCPMC10915235
OpenAlexW4392003051

What Socratic 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 Socratic graph.