Cited by 62Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsHealth, Technology, Consumer Behavior

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Real-world usage of digital health applications (DiGA) in rheumatology: results from a German patient survey

Open access

Abstract

Mobile health applications and digital therapeutics (DTx) aim to improve current patient care. Real-world data on DTx are, however, scarce. The aim of this study was to evaluate the adherence, acceptance, and efficacy of DTx in a clinical routine rheumatology setting. We conducted a prospective observational cohort study assessing the use, adherence, acceptance, and efficacy of the DTx DiGA ( Digitale Gesundheitsanwendungen ) by survey over 12 weeks. Patients included had to have a rheumatic disease and had been prescribed a DiGA. Acceptance was assessed using the Net promoter score (NPS). 48 patients were prescribed DiGA. Of these, 39/48 (81%) completed the follow-up survey. 21/39 (54%) patients downloaded the DTx and 20/39 (51%) used the DTx at least once. 9/39 (23%) of patients stopped quickly afterward and 5/39 (13%) reported having completed the whole DTx program. Lack of time and commitment were reported as the main reasons for non-use. Overall acceptance of DiGA was high (Net promoter score (NPS) mean (SD) 7.8/10 (2.3)). While the majority of patients (60%) reported no improvement, one subgroup of patients (7/20, 35%) who regularly used an exercise-based DTx for back pain reported symptom improvement. Acceptance of DTx in patients with rheumatic diseases is high, however onboarding to DTx use and adherence to DTx is still challenging in patients with rheumatic diseases. In a subgroup of patients with back pain, however, the use of an exercise-based DTx led to symptom improvement.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00296-022-05261-7

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Metadata

Authors
Labinsky, H., Gupta, L., Raimondo, M. G., Schett, G., & Knitza, J.
Affiliations
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
  • Sandwell & West Birmingham Hospitals NHS Trust (GB)
Corresponding author
Knitza, Johannes
Venue
Rheumatology International
Published
2022-12-21
Volume
43
Issue
4
Pages
713-719
ISSN
  • 0172-8172 (ISSN-L)
  • 1437-160X
OpenAlex
W4312059558
Cited by
62
References
22
Citations by year
2026: 13 · 2025: 16 · 2024: 25 · 2023: 8
FWCI
14.06
Type
journal article
Language
en
Open access
Locations
  • Rheumatology International (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by)
  • Research Explorer (The University of Manchester) (submittedVersion, cc-by)
Funders
  • DFG (2886)
  • Universitätsklinikum Erlangen
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
digital therapeutics, DiGA, mobile health apps, rheumatic diseases, medication adherence, patient acceptance, back pain, symptom improvement, real-world applications, Net Promoter Score
MeSH terms
Back Pain, Humans, Prospective Studies, Rheumatic Diseases, Rheumatology, Mobile Applications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review