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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Apr 29, 2026
Date Accepted: Sep 15, 2026

The final, peer-reviewed published version of this preprint can be found here:

Digital Health Applications for Mental Disorders in Germany Among Users and Nonusers on Actual and Intended Use, Self-Reported Completion, and Reasons for Discontinuation: Cross-Sectional Survey

Höfer K, Wasem J, Bußmann A, Volland C, Raszke P, Schlierenkamp S, Friedrich L, Katzmann J, Schneider U, Wadeck A, Zander S, Abels C

Digital Health Applications for Mental Disorders in Germany Among Users and Nonusers on Actual and Intended Use, Self-Reported Completion, and Reasons for Discontinuation: Cross-Sectional Survey

J Med Internet Res 2026;28:e99464

DOI: 10.2196/99464

PMID: 42955071

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Digital Health Applications (Digitale Gesundheitsanwendungen) for Mental Disorders in Germany: Cross-Sectional Survey Results from Users and Non-Users

  • Klemens Höfer; 
  • Jürgen Wasem; 
  • Anna Bußmann; 
  • Carsten Volland; 
  • Pascal Raszke; 
  • Sarah Schlierenkamp; 
  • Luisa Friedrich; 
  • Josepha Katzmann; 
  • Udo Schneider; 
  • Anja Wadeck; 
  • Sophia Zander; 
  • Carina Abels

ABSTRACT

Background:

In 2019, reimbursable mHealth apps (Digitale Gesundheitsanwendungen, DiGA) have been inte-grated into routine care in Germany. Despite their possible potential, their uptake remains limited, particularly for treating mental disorders. There is sparse evidence on patient-reported real-world use, discontinuation and barriers.

Objective:

This study aimed to investigate usage patterns among DiGA users in outpatient mental health care and to compare experienced barriers among users with anticipated barriers among non-users.

Methods:

We conducted a cross-sectional mixed-mode survey (postal and web-based) among adults insured by Germanys biggest statutory health insurance fund (Techniker Krankenkasse, TK). A random sample of 2,000 individuals from each group (DiGA users and DiGA non-users) was drawn. Re-spondents were contacted in April 2024 (initial invitation) and May 2024 (reminder), with the survey remaining open until September 2024. Group comparisons were performed using chi-square tests for nominal variables and Mann-Whitney-U tests for ordinal variables, with effect sizes reported as Phi/Cramer’s V and correlation coefficients (r), respectively.

Results:

In total, 1,413 participants were included (769 users; 644 non-users; response rates 38.5% and 32.2%). Among users, 37% did not complete the DiGA program, whereas premature discontinua-tion was significantly more common among younger users (discontinuation rates: ≥60 years: 24.1% vs. 18–40 years: 55.6%). Non-users reported stronger anticipated barriers than users based on ac-tual experience, particularly regarding technical problems (median: users 1 vs non-users 5; p < 0.001; r = −0.79) and a perceived mismatch with one’s condition (median: users 2 vs non-users 5; p < 0.001; r= −0.64).

Conclusions:

Results indicate that while many users complete DiGA programs, discontinuation remains common and is more pronounced among younger users. The gap between expectation and experience sug-gests that anticipated barriers among non-users may exceed barriers encountered in practice. Ad-dressing perceived technical reliability and fit, alongside strategies supporting sustained engage-ment, may be relevant for optimizing DiGA implementation in outpatient mental health care.


 Citation

Please cite as:

Höfer K, Wasem J, Bußmann A, Volland C, Raszke P, Schlierenkamp S, Friedrich L, Katzmann J, Schneider U, Wadeck A, Zander S, Abels C

Digital Health Applications for Mental Disorders in Germany Among Users and Nonusers on Actual and Intended Use, Self-Reported Completion, and Reasons for Discontinuation: Cross-Sectional Survey

J Med Internet Res 2026;28:e99464

DOI: 10.2196/99464

PMID: 42955071

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