Evidence map›Paper›PMID 40613892›Full record

ArticleRheumatology international2025

Digital empowerment on hold: DiGA adoption gaps-a German national cross-sectional patient survey study.

Phillip Kremer, Daniel Fink, Harriet Morf, Hannah Labinsky, Karolina Gente, Peer Aries, Martin Krusche, Felix Muehlensiepen, Sebastian Kuhn, Axel Hueber and 1 more

Abstract read
In one paragraph

Article in Rheumatology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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.

Phillip KremerDivision of Rheumatology and Systemic Inflammtory Diseases, III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0009-0009-9897-2302
Daniel FinkRheumazentrum Mittelhessen, Bad Endbach, Germany.ORCID 0009-0001-1715-4570
Harriet MorfDepartment of Medicine 3 - Rheumatology & Immunology, Friedrich- Alexander-Universität (FAU) Erlangen-Nürnberg and Uniklinikum Erlangen, Erlangen, Germany.ORCID 0000-0001-6688-2155
Hannah LabinskyDepartment of Internal Medicine 2, Rheumatology/Clinical Immunology, University Hospital Würzburg, Würzburg, Germany.ORCID 0000-0001-5762-9182
Karolina GenteInternal Medicine V, Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0003-4544-2753
Peer AriesDepartment of Rheumatology, Immunologikum, Hamburg, Germany.ORCID 0000-0001-7919-8010
Martin KruscheDivision of Rheumatology and Systemic Inflammtory Diseases, III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-0582-7790
Felix MuehlensiepenCenter for Health Services Research, Faculty of Health Sciences, Brandenburg Medical School Theodor Fontane, Rüdersdorf, Germany.ORCID 0000-0001-8571-7286
Sebastian KuhnSchool of Medicine, Institute for Digital Medicine, Philipps-Universität Marburg, Marburg, Germany.ORCID 0000-0002-8031-2973
Axel HueberDepartment Internal Medicine 5, Division of Rheumatology, Klinikum Nuremberg, Paracelsus Medical University, Nuremberg, Germany.ORCID 0000-0001-6454-1234
Johannes KnitzaSchool of Medicine, Institute for Digital Medicine, Philipps-Universität Marburg, Marburg, Germany. knitza@uni-marburg.de.ORCID 0000-0001-9695-0657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health applications (DiGAs), prescribable and reimbursed in Germany since 2020, have the potential to enhance patient self-management. This study aimed to assess rheumatology patients' awareness, willingness to use, suitability, and actual adoption of DiGAs. Between February 17 and April 8, 2025, adult patients attending seven German rheumatology outpatient clinics completed an electronic survey. A total of 246 patients participated (mean age 50.4 years; 71.1% female), with most treated at university hospitals (59.8%). The predominant diagnoses were rheumatoid arthritis (41.1%), psoriatic arthritis (18.3%), and axial spondyloarthritis (10.2%). While only 19.5% reported prior use of medical apps, 39.8% were aware of DiGAs, and 12.6% had used one. Notably, 84.6% reported at least one comorbidity matching an approved DiGA indication, most commonly back pain (54.8%), chronic pain (52.0%), and sleep disorders (35.8%). A majority expressed willingness to regularly use a DiGA (72.4%) and were open to recommendations from their rheumatologists or health insurers (72.8%). Additionally, 76.0% showed interest in a rheumatology-specific DiGA. Despite high interest and relevant comorbidities among patients, current DiGA use was limited. These findings underscore the need for targeted implementation strategies to increase uptake and realize the full potential of digital health applications in rheumatology care. The results also emphasize the need for rheumatologists to actively educate and guide their patients regarding the availability and potential benefits of DiGAs.

Indexed as

Mobile ApplicationsRheumatic DiseasesSelf-ManagementAdultAgedCross-Sectional StudiesFemaleGermanyHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedRheumatologySurveys and QuestionnairesTelemedicineDigital health applicationsDigital therapeuticsPatient self-managementSurveys and questionnaires

Identifiers

PMID40613892
PMCPMC12227445

What Socratic 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 Socratic graph.