Evidence map›Paper›PMID 42160490›Full record

ArticleJournal of medical Internet research2026

Development of a Validated Lay Checklist (Info Without Side Effects) for Assessing Health Information on Websites: Mixed Methods Study.

Ursula Griebler, Irma Klerings, Christina Koscher-Kien, Benedikt Lutz, Eva Krczal, Dominic Ledinger, Iris Mair, Robert Emprechtinger, Filiz Keser Aschenberger, Bernd Kerschner

Abstract readValidation Study
In one paragraph

Article in Journal of medical Internet research, 2026. 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
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.

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

10 authors.

Ursula GrieblerDepartment for Evidence-based Medicine and Evaluation, University for Continuing Education Krems, 3500 Krems an der Donau, Austria, 43 2732893 ext 2914.ORCID http://orcid.org/0000-0002-9958-3714
Irma KleringsDepartment for Evidence-based Medicine and Evaluation, University for Continuing Education Krems, 3500 Krems an der Donau, Austria, 43 2732893 ext 2914.ORCID http://orcid.org/0000-0001-6644-9845
Christina Koscher-KienDepartment for Evidence-based Medicine and Evaluation, University for Continuing Education Krems, 3500 Krems an der Donau, Austria, 43 2732893 ext 2914.ORCID http://orcid.org/0000-0003-2158-962X
Benedikt LutzDepartment for Knowledge and Communication Management, University for Continuing Education Krems, Krems an der Donau, Austria.ORCID http://orcid.org/0009-0002-1760-5877
Eva KrczalDepartment for Economy and Health, University for Continuing Education Krems, Krems an der Donau, Austria.ORCID http://orcid.org/0000-0002-8030-8819
Dominic LedingerDepartment for Evidence-based Medicine and Evaluation, University for Continuing Education Krems, 3500 Krems an der Donau, Austria, 43 2732893 ext 2914.ORCID http://orcid.org/0000-0002-2031-5398
Iris MairDepartment for Evidence-based Medicine and Evaluation, University for Continuing Education Krems, 3500 Krems an der Donau, Austria, 43 2732893 ext 2914.ORCID http://orcid.org/0009-0009-6683-540X
Robert EmprechtingerQUEST Center for Responsible Research, Berlin Institute of Health at Charité (BIH), Berlin, Germany.ORCID http://orcid.org/0000-0003-3114-9812
Filiz Keser AschenbergerDepartment for Continuing Education Research and Educational Technologies, University for Continuing Education Krems, Krems an der Donau, Austria.ORCID http://orcid.org/0000-0002-4661-3238
Bernd KerschnerDepartment for Evidence-based Medicine and Evaluation, University for Continuing Education Krems, 3500 Krems an der Donau, Austria, 43 2732893 ext 2914.ORCID http://orcid.org/0009-0003-7894-7720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The internet has become a major source of health information; yet, the quality of health information on websites varies considerably. Users' ability to evaluate either the factual accuracy or the trustworthiness of health information on websites is limited, as around half of the European people have limited health literacy. Existing checklists and tools are either prepared for research purposes or to be used by health care professionals. They do not account for the lay user perspective, since they are too long and complicated to be used by laypersons, or were developed for printed health information only. Objective: The aim of the study was to develop and validate a checklist that enables laypersons to evaluate the trustworthiness of health information on websites without requiring prior training. Methods: We used a multistage mixed methods approach including (1) a comprehensive literature review to identify existing tools and quality criteria, (2) an expert Delphi study with 6 specialists in patient communication and health information, (3) 2 rounds of cognitive interviews with 19 lay users, (4) application testing on 15 selected web pages with information about health interventions with 20 additional lay users, (5) a determination of the factual correctness of 100 web pages with health information by assessing the difference between the claimed and factual strength of the evidence on these web pages, and (6) validation testing by research team members on these 100 web pages using a Bayesian logistic regression model to analyze the predictive validity. In the final step, we integrated all quantitative and qualitative results to select the final checklist items. Results: From an initial pool of 1740 items extracted from 73 documents, we systematically reduced the list through multiple evaluation and testing rounds. To ensure the checklist is user-friendly, we involved a diverse group of potential users. The final product, the Info Without Side Effects (iWISE) checklist, contains seven items that assess key aspects of health information trustworthiness, including the absence of advertising, balanced presentation of information, the limited use of professional jargon, origination from an independent organization, citation of sources, mention of scientific validation, and the presence of a publication date. The checklist demonstrated the ability to distinguish between evidence-based and nonevidence-based health information web pages in the German language: the validation testing showed that when all the items were marked with yes, there was a nearly 100% probability that the health information was also factually correct. Conclusions: The iWISE checklist represents a user-friendly, validated tool for evaluating the trustworthiness of health information about interventions on websites. With only 7 items, it is easy to remember and could significantly improve critical health literacy. Future research should test its reliability for social media posts and health information videos.

Indexed as

ChecklistConsumer Health InformationInternetDigital MediaHealth LiteracyHumanschecklistcritical health literacyhealth informationhealth information websitesonline health information

Identifiers

PMID42160490
PMCPMC13189254

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.