Evidence map›Paper›PMID 42258799›Full record

ArticleJournal of medical Internet research2026

High Patient Willingness to Grant Broad Consent for Real-World Data Use in Rheumatology-Implications for Real-World Data Platform Governance: Cross-Sectional Study.

Jutta G Richter, Antonia Becker, Tim Filla, Hasan Acar, Waldemar Ockert, Dominykas Kriauciunas, Edith Aggarwal, Markus Schröder, Ralf Hansen, Jörg Hw Distler and 1 more

Abstract read
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Jutta G RichterDepartment for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Moorenstrasse 5, Düsseldorf, 40225, Germany.ORCID http://orcid.org/0000-0001-8194-3243
Antonia BeckerDepartment for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Moorenstrasse 5, Düsseldorf, 40225, Germany.ORCID http://orcid.org/0009-0005-8646-8505
Tim FillaDepartment for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Moorenstrasse 5, Düsseldorf, 40225, Germany.ORCID http://orcid.org/0000-0001-5628-8398
Hasan AcarDepartment for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Moorenstrasse 5, Düsseldorf, 40225, Germany.ORCID http://orcid.org/0000-0002-1987-3931
Waldemar OckertZS Inc, London, United Kingdom.ORCID http://orcid.org/0009-0004-2677-786X
Dominykas KriauciunasZS Inc, London, United Kingdom.ORCID http://orcid.org/0009-0005-8418-3143
Edith AggarwalZS Inc, London, United Kingdom.ORCID http://orcid.org/0009-0009-0605-2059
Markus SchröderSerrala Group GmbH, Berlin, Germany.ORCID http://orcid.org/0009-0005-6572-0038
Ralf HansenSerrala Group GmbH, Berlin, Germany.ORCID http://orcid.org/0009-0003-9069-3532
Jörg Hw DistlerDepartment for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Moorenstrasse 5, Düsseldorf, 40225, Germany.ORCID http://orcid.org/0000-0001-7408-9333
Matthias SchneiderDepartment for Rheumatology, University Hospital Düsseldorf, Medical Faculty of Heinrich-Heine-University, Moorenstrasse 5, Düsseldorf, 40225, Germany.ORCID http://orcid.org/0009-0007-2106-9196

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medical real-world data (RWD) are often siloed across organizations, making them inaccessible for research. Unlocking these data could advance clinical research and patient care. The pan-European Data Nexus platform (DNP) links RWD, facilitating its use, for example by artificial intelligence (AI) tools, to support the generation of real-world evidence. In Europe, particularly Germany, the secondary use of health data is governed by stringent regulatory requirements, including informed consent. Objective: This study evaluated the informed broad consent form for the RWD (Data Nexus) platform, predicated on the principles of the Medical Informatics Initiative in Germany, and contextualized its implications for future data governance and regulatory use of RWD. Methods: The broad consent form was developed for the DNP and cross-sectionally distributed to consecutive rheumatology outpatients during routine follow-up at a tertiary center. Analyses included rates of agreement to the predefined broad consent items. A zero-inflated model (using R) was used to predict response rates. Results: From July 2023 to May 2024, 74.9% (292/390) of the patients signed the broad consent form and consented to DNP data donation. Median age was 56 (IQR 43.0-65.0) years, 72.5% (211/291) were female, and median disease duration was 12 (IQR 4.0-22.0) years. Diagnoses included rheumatoid arthritis (96/291, 33.3%), psoriatic arthritis (30/291, 10.3%), spondyloarthritis (15/291, 5.2%), systemic lupus erythematosus (90/291, 30.9%), systemic sclerosis (14/291, 4.8%), and other conditions (16/291, 5.5%). Patients also answered 8 yes/no broad consent items, with an average of "yes" and "no" responses of 7.5 (SD 1.5) and 0.2 (SD 0.5), respectively. Missing responses averaged 0.4 (SD 1.4). Of all participants, 78.4% (228/291) agreed to all broad consent items. Approval rates for individual items exceeded 86%, indicating strong patient acceptance of secondary use of RWD under a structured governance framework, possibly reflecting trust, perceived benefit, low perceived risk, and governance confidence. Importantly, patients agreed to new techniques such as AI-based analysis of their donated RWD and, despite the social and ethical sensitivity, data distribution to third parties, including commercial industry. Consent rates were also high for the use of valuable omics and genomics data from biomaterial donations. Women showed higher consent rates, whereas educational attainment was not an indicator of response behavior. Conclusions: This is the first study assessing the willingness of patients with inflammatory rheumatic diseases to grant broad consent for secondary data use in an innovative RWD platform, implementing a modern framework in routine care and considering detailed patient preferences. Patients demonstrated high willingness to grant broad consent, providing key real-world evidence on patients' actual consent behavior for implementing RWD platform integration-such as the European Health Data Space. The DNP supports scalable, General Data Protection Regulation-compliant data sharing, enabling real-world and AI-driven research while preserving patient trust.

Indexed as

Informed ConsentRheumatologyAdultCross-Sectional StudiesFemaleGermanyHumansMaleMiddle AgedAIartificial intelligencegovernanceinformed broad consentreal-world datarheumatologysecondary use

Identifiers

PMID42258799
PMCPMC13245840

What OpenQuestion holds

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Registered trials

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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.