Evidence map›Paper›PMID 35037948›Full record

ReviewDer Internist2022

[Practical use of digital health applications (DiGA) in internal medicine].

Mirja Mittermaier, Christian Sina, Jutta G Richter, Matthias Raspe, Patrick Stais, Jörg Vehreschild, Sebastian Wolfrum, Christina Anthes, Martin Möckel, AG DiGA und KI in Leitlinien der Kommission Digitale Transformation der DGIM

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Internist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
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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

10 authors at 4 institutions in 1 country.

Mirja MittermaierMedizinische Klinik m.S. Infektiologie und Pneumologie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
Christian SinaInstitut für Ernährungsmedizin, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Deutschland.
Jutta G RichterPoliklinik und Funktionsbereich Rheumatologie & Hiller-Forschungszentrum Rheumatologie, Medizinische Fakultät, Universitätsklinikum Düsseldorf, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.
Matthias RaspeMedizinische Klinik m.S. Infektiologie und Pneumologie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
Patrick StaisMedizinische Klinik 3, Lungen- und Bronchialheilkunde, Lungen-Thorax-Zentrum Nordrhein, Moers, Deutschland.
Jörg VehreschildMedizinische Klinik 2, Universitätsklinikum Frankfurt, Frankfurt, Deutschland.
Sebastian WolfrumInterdisziplinäre Notaufnahme, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Lübeck, Deutschland.
Christina AnthesDeutsche Gesellschaft für Innere Medizin e. V., Wiesbaden, Deutschland.
Martin MöckelNotfall- und Akutmedizin, Zentrale Notaufnahme und Chest Pain Units, Campus Mitte und Virchow-Klinikum, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland. martin.moeckel@charite.de.
AG DiGA und KI in Leitlinien der Kommission Digitale Transformation der DGIM
Charité - Universitätsmedizin Berlin · DEUniversity Hospital Schleswig-Holstein · DEDeutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · DEDüsseldorf University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2020 physicians can prescribe digital health applications (DiGA), also colloquially known as apps on prescription, which are reimbursed by the statutory health insurance when they are approved by the Federal Institute for Drugs and Medical Devices (BfArM) and are included in the DiGA Ordinance. Currently, there is one approved DiGA (indication obesity) for internal medicine. There are many questions on the practical use of the DiGA, ranging from the prescription, the effectiveness, the complexities and reimbursement as well as the liability risks. The DiGA are innovative new means, which maybe support internal medicine physicians in the diagnostics and treatment in the future. The benefits in this field of indications are limited by unclarified issues, especially on the prescription practice and the currently low number of DiGA available in internal medicine.

Indexed as

National Health ProgramsPhysiciansGermanyHumansInternal MedicineDevice approval processDigital health applications/effectivenessDigital health applications/prescriptionLiability, legalRemuneration

Identifiers

PMID35037948
OpenAlexW4205842472

What OpenQuestion holds

Textmetadata
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.