Evidence map›Paper›PMID 38086924›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2024

[Digital health applications (DiGA) in the area of tension between progress and criticism : Discussion paper from the "Digital health" specialist group of the German Informatics Society].

Hannes Schlieter, Maren Kählig, Emily Hickmann, Daniel Fürstenau, Ali Sunyaev, Peggy Richter, Rüdiger Breitschwerdt, Christian Thielscher, Martin Gersch, Wolfgang Maaß and 2 more

Open access · hybridAbstract readEnglish AbstractReview
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
11.6field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  4. [Digital transformation in healthcare to strengthen patient autonomy].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
    Review
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  14. [Digital health applications in urology].Urologie (Heidelberg, Germany) · 2024
    Review
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  17. Article
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

12 authors at 9 institutions in 3 countries.

Hannes SchlieterForschungsgruppe Digital Health, Fakultät Wirtschaftswissenschaften, Technische Universität Dresden, Dresden, Sachsen, Deutschland.
Maren KähligForschungsgruppe Digital Health, Fakultät Wirtschaftswissenschaften, Technische Universität Dresden, Dresden, Sachsen, Deutschland. maren.kaehlig@tu-dresden.de.
Emily HickmannForschungsgruppe Digital Health, Fakultät Wirtschaftswissenschaften, Technische Universität Dresden, Dresden, Sachsen, Deutschland.
Daniel FürstenauDepartment of Business IT, IT University of Copenhagen, Kopenhagen, Dänemark.
Ali SunyaevInstitut für Angewandte Informatik und Formale Beschreibungsverfahren, Karlsruher Institut für Technologie, Karlsruhe, Baden-Württemberg, Deutschland.
Peggy RichterForschungsgruppe Digital Health, Fakultät Wirtschaftswissenschaften, Technische Universität Dresden, Dresden, Sachsen, Deutschland.
Rüdiger BreitschwerdtProfessur für Wirtschaftsinformatik und Medizinische Informatik, Wilhelm Büchner Hochschule, Darmstadt, Hessen, Deutschland.
Christian ThielscherKompetenzCentrum für Medizinoekonomie, FOM Hochschule, Essen, Nordrhein-Westfalen, Deutschland.
Martin GerschFachbereich Wirtschaftswissenschaften, Freie Universität Berlin, Berlin, Deutschland.
Wolfgang MaaßLehrstuhl für Betriebswirtschaftslehre, insbesondere Wirtschaftsinformatik, German Research Center for Artificial Intelligence Universität Saarland, Saarbrücken, Saarland, Deutschland.
Melanie Reuter-OppermannFaculty of Behavioural, Management and Social Sciences, Center for Healthcare Operations Improvement and Research, University of Twente, Enschede, Niederlande.
Lena WieseFraunhofer Institute for Toxicology and Experimental Medicine ITEM, Leader Research Group Bioinformatics, Hannover, Niedersachsen, Deutschland.
TU Dresden · DEFOM University of Applied Sciences for Economics and Management · DEFraunhofer Institute for Toxicology and Experimental Medicine · DEFreie Universität Berlin · DEGerman Research Centre for Artificial Intelligence · DEIT University of Copenhagen · DKKarlsruhe Institute of Technology · DEUniversity of Twente · NLWilhelm Büchner Hochschule · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since December 2019, digital health applications (DiGA) have been included in standard care in Germany and are therefore reimbursed by the statutory health insurance funds to support patients in the treatment of diseases or impairments. There are 48 registered DiGA listed in the directory of the Federal Institute of Drugs and Medical Devices (BfArM), mainly in the areas of mental health; hormones and metabolism; and muscles, bones, and joints. In this article, the "Digital Health" specialist group of the German Informatics Society describes the current developments around DiGA as well as the current sentiment on topics such as user-centricity, patient and practitioner acceptance, and innovation potential. In summary, over the past three years, DiGA have experienced a positive development, characterized by a gradually increasing availability of various DiGA and coverage areas as well as prescription numbers. Nevertheless, significant regulatory adjustments are still required in some areas to establish DiGA as a well-established instrument in long-term routine healthcare. Key challenges include user-centeredness and the sustainable use of the applications.

Indexed as

Academies and InstitutesDigital HealthGermanyHumansDigitalisationHealth appInnovationMarket penetrationMedical device

Identifiers

PMID38086924
PMCPMC10776708
OpenAlexW4389613221

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.