Evidence map›Paper›PMID 39506735›Full record

ArticleBMC health services research2024

Adoption and perception of prescribable digital health applications (DiGA) and the advancing digitalization among German internal medicine physicians: a cross-sectional survey study.

Lasse Cirkel, Fabian Lechner, Nadine Schlicker, Jan Leipe, Felix Mühlensiepen, Ivica Grgic, Martin C Hirsch, Sebastian Kuhn, Johannes Knitza

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  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.

Lasse CirkelInstitute of Artificial Intelligence, University Hospital Gießen-Marburg, Philipps University, Marburg, Germany.
Fabian LechnerInstitute of Artificial Intelligence, University Hospital Gießen-Marburg, Philipps University, Marburg, Germany.
Nadine SchlickerInstitute of Artificial Intelligence, University Hospital Gießen-Marburg, Philipps University, Marburg, Germany.
Jan LeipeDepartment of Medicine V, Division of Rheumatology, University Medical Center and Medical Faculty Mannheim, Mannheim, Germany.
Felix MühlensiepenCenter for Health Services Research, Faculty of Health Sciences, Brandenburg Medical School Theodor Fontane, Rüdersdorf bei Berlin, Germany.
Ivica GrgicDepartment of Internal Medicine, Division of Nephrology & Institute of Artificial Intelligence, University Hospital Gießen-Marburg, Philipps University, Marburg, Germany.
Martin C HirschInstitute of Artificial Intelligence, University Hospital Gießen-Marburg, Philipps University, Marburg, Germany.
Sebastian KuhnInstitute for Digital Medicine, University Hospital Gießen-Marburg, Philipps University, Marburg, Germany.
Johannes KnitzaInstitute for Digital Medicine, University Hospital Gießen-Marburg, Philipps University, Marburg, Germany. knitza@uni-marburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTherapeutic digital health applications (DiGAs) are expected to significantly enhance access to evidence-based care. Since 2020, German physicians and psychotherapists have been able to prescribe approved DiGAs, which are reimbursed by statutory health insurance. This study investigates the usage, knowledge and perception of DiGAs as well as the growing digitalization among internal medicine physicians in Germany.

methodsA web-based survey was distributed at the 2024 annual congress of the German Society for Internal Medicine. Participants could respond by scanning a QR code or directly on a tablet.

resultsA total of 100 physicians completed the survey, with a mean age of 43.4 years. The majority were internal medicine physicians (85%). Of the respondents, 31% had already prescribed DiGAs, and 29% had tested one. Self-rated knowledge of DiGAs was low (median score 3.17/10). The main barriers identified were lack of knowledge about effective implementation (60%), lack of time for patient onboarding (27%), and concerns about patient adherence (21%). However, 92% believed that DiGAs could improve care, and 88% expressed interest in specific digital health training. The majority (64%) stated that digitalization had a positive impact on medical care and 39% of physicians expected their daily workload to decrease due to digitalization. In addition, 38% believed that the physician-patient relationship would improve as a result of digitalization.

conclusionsWhile physicians widely acknowledged the potential benefits of DiGAs, adoption and understanding remain limited. Specific training in digital health is crucial to accelerate digitalization in internal medicine.

Indexed as

Internal MedicineAdultAttitude of Health PersonnelCross-Sectional StudiesDigital HealthFemaleGermanyHumansMaleMiddle AgedPhysiciansPractice Patterns, Physicians'Surveys and QuestionnairesTelemedicineAdoption barriersDiGADigital health applicationsDigitalization in medicineGerman healthcare

Identifiers

PMID39506735
PMCPMC11539441

What Socratic 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 Socratic graph.