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This paper is in the following e-collection/theme issue:

Methods in Human Factors Research (109) Human Factors and Usability Case Studies (1329) Usability of Apps and User Perceptions of mHealth (1833) mHealth in a Clinical Setting (1203) Usability Evaluation Case Studies (367) Use and User Demographics of mHealth (513) Evaluation and Research Methodology for mHealth (408)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92415, first published .
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What Users Say About Reimbursable Digital Therapeutics in Germany: Large-Scale App Store Review Analysis Using a Large Language Model

What Users Say About Reimbursable Digital Therapeutics in Germany: Large-Scale App Store Review Analysis Using a Large Language Model

Authors of this article:

Benjamin Kinast1 Author Orcid Image ;   Henrik Rohde1 Author Orcid Image ;   Björn Schreiweis1 Author Orcid Image ;   Hannes Ulrich1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Benjamin Kinast   1 , MA ;   Henrik Rohde   1 , MSc ;   Björn Schreiweis   1 , Prof Dr ;   Hannes Ulrich   1, 2 , Dr rer nat

1 Institute for Medical Informatics and Artificial Intelligence, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany

2 Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany

Corresponding Author:

  • Benjamin Kinast, MA
  • Institute for Medical Informatics and Artificial Intelligence
  • Kiel University and University Hospital Schleswig-Holstein
  • Kaistrasse 101
  • Kiel DE-24105
  • Germany
  • Phone: +49 431 500 31611
  • Email: benjamin.kinast@uksh.de