Evidence map›Paper›PMID 36388899›Full record

ArticleFrontiers in medicine2022

One year of digital health applications (DiGA) in Germany - Rheumatologists' perspectives.

Jutta G Richter, Gamal Chehab, Philipp Stachwitz, Julia Hagen, Denitza Larsen, Johannes Knitza, Matthias Schneider, Anna Voormann, Christof Specker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
12.5field-weighted citation impact, top 1% 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

26 citing papers in PubMed, 46 citations in OpenAlex.

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  2. Digital health applications, telemedicine and large language models in dermatology: results of a Germany-wide survey.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026
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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

9 authors at 5 institutions in 1 country.

Jutta G RichterPoliclinic for Rheumatology and Hiller Research Unit for Rheumatology, Medical Faculty, Heinrich-Heine-University Düsseldorf (HHUD), University Clinic, Düsseldorf, Germany.
Gamal ChehabPoliclinic for Rheumatology and Hiller Research Unit for Rheumatology, Medical Faculty, Heinrich-Heine-University Düsseldorf (HHUD), University Clinic, Düsseldorf, Germany.
Philipp StachwitzHealth Innovation Hub of the Federal Ministry of Health (hih), Berlin, Germany.
Julia HagenHealth Innovation Hub of the Federal Ministry of Health (hih), Berlin, Germany.
Denitza LarsenHealth Innovation Hub of the Federal Ministry of Health (hih), Berlin, Germany.
Johannes KnitzaDepartment of Internal Medicine Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen, Erlangen, Germany.
Matthias SchneiderPoliclinic for Rheumatology and Hiller Research Unit for Rheumatology, Medical Faculty, Heinrich-Heine-University Düsseldorf (HHUD), University Clinic, Düsseldorf, Germany.
Anna VoormannGerman Society for Rheumatology, Berlin, Germany.
Christof SpeckerDepartment of Rheumatology and Clinical Immunology, KEM Kliniken Essen-Mitte, Essen, Germany.
Federal Ministry of Health · DEHeinrich Heine University Düsseldorf · DEDüsseldorf University Hospital · DEKliniken Essen-Mitte · DEUniversitätsklinikum Erlangen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Based on given legislation the German approach to digital health applications (DiGA) allows reimbursed prescription of approved therapeutic software products since October 2020. For the first time, we evaluated DiGA-related acceptance, usage, and level of knowledge among members of the German Society for Rheumatology (DGRh) 1 year after its legal implementation. Materials and methods: An anonymous cross-sectional online survey, initially designed by the health innovation hub (think tank and sparring partner of the German Federal Ministry of Health) and the German Pain Society was adapted to the field of rheumatology. The survey was promoted by DGRh newsletters and Twitter-posts. Ethical approval was obtained. Results: In total, 75 valid response-sets. 80% reported to care ≥ 70% of their working time for patients with rheumatic diseases. Most were working in outpatient clinics/offices (54%) and older than 40 years (84%). Gender distribution was balanced (50%). 70% knew the possibility to prescribe DiGA. Most were informed of this for the first time via trade press (63%), and only 8% via the scientific/professional society. 46% expect information on DiGA from the scientific societies/medical chambers (35%) but rarely from the manufacturer (10%) and the responsible ministry (4%). Respondents would like to be informed about DiGA via continuing education events (face-to-face 76%, online 84%), trade press (86%), and manufacturers' test-accounts (64%). Only 7% have already prescribed a DiGA, 46% planned to do so, and 47% did not intend DiGA prescriptions. Relevant aspects for prescription are provided. 86% believe that using DiGA/medical apps would at least partially be feasible and understandable to their patients. 83% thought that data collected by the patients using DiGA or other digital solutions could at least partially influence health care positively. 51% appreciated to get DiGA data directly into their patient documentation system/electronic health record (EHR) and 29% into patient-owned EHR. Conclusion: Digital health applications awareness was high whereas prescription rate was low. Mostly, physician-desired aspects for DiGA prescriptions were proven efficacy and efficiency for physicians and patients, risk of adverse effects and health care costs were less important. Evaluation of patients' barriers and needs is warranted. Our results might contribute to the implementation and dissemination of DiGA.

Indexed as

COVID-19DiGAdigital healthdigital health applicationsrheumatology

Identifiers

PMID36388899
PMCPMC9640713
OpenAlexW4307374604

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.