Evidence map›Paper›PMID 41988660›Full record

ArticleJournal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG2026

Attitudes of dermatological patients towards digital health interventions: a cross-sectional survey and cluster analysis.

Patrick Reinders, Matthias Augustin, Marina Otten

Abstract read
In one paragraph

Article in Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Patrick ReindersInstitute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Matthias AugustinInstitute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.ORCID https://orcid.org/0000-0002-4026-8728
Marina OttenInstitute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.ORCID https://orcid.org/0000-0003-3767-1548

Funding

Novartis Pharma
6 · The paper itself

Abstract

backgroundThis study aimed to assess the acceptance of Germany's adoption of digital health interventions (DHI) among dermatology patientsand to identify patient clusters. PATIENTS AND

methodsA cross-sectional, quantitative survey on acceptability and (future) usage of DHIs was conducted among patients with chronic dermatological conditions. Exploratory Factor Analysis (EFA) identified key constructs and patients were grouped using a two-step clustering approach.

resultsThe EFA was conducted using data from 344 patients (mean age 52.5 years, SD 14.8; 74.0 % female) and identified four factors: "Acceptability of DHIs and Trust," "Patients' Digital Health Competencies," "Digital Health Insecurities," and "Positive Impact of DHIs." Cluster analysis resulted in four groups: "Digital Sceptics" (n = 49, 15.6 %), "Cautious Adopters" (n = 106, 33.7 %), "Digital Enthusiasts" (n = 98, 31.1 %), "Adopters Unsure About Impact" (n = 62, 18.0 %). "Digital Enthusiasts" were significantly younger. Usage and acceptability varied among clusters, with "Digital Enthusiasts" and "Adopters Unsure About Impact" showing the highest rates. Overall, few patients used DHIs, including store-and-forward teledermatology (2.0 %-7.0 %) or electronic patient records (6.4 %-19.4 %).

conclusionsPatient clusters with varying attitudes towards DHIs were identified. Despite a general willingness to adopt DHIs, actual usage remains low. Systemic barriers such as availability and digital competencies need to be addressed.

Indexed as

Attitude to HealthDermatologyPatient Acceptance of Health CareSkin DiseasesTelemedicineAdultAgedChronic DiseaseCluster AnalysisClustering AlgorithmsCross-Sectional StudiesDigital HealthFemaleGermanyHumansMaleattitudesdermatologydigital healtheHealthpatientsskin diseases

Identifiers

PMID41988660
PMCPMC13551282

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.