SYSTEMATIC REVIEW article
Front. Med.
Sec. Rheumatology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1617151
Potential of digital applications for self-management and other outcomes in inflammatory rheumatic diseases: a systematic literature review
Provisionally accepted- 1University of Applied Sciences, Faculty of Life Sciences, Hamburg, Germany
- 2RHADAR--RheumaDatenRheport GbR, Erlangen, Germany
- 3Medizinisches Versorgungszentrum, Rheumatologie, Stolberg, Germany
- 4Verein zur Förderung der Rheumatologie eV, Würselen, Germany
- 5Klinik für Internistische Rheumatologie, Rhein-Maas-Klinikum, Würselen, Germany
- 6RHADAR - RheumaDatenRheport GbR, Erlangen, Bavaria, Germany
- 7Praxisgemeinschaft Rheumatologie-Nephrologie, Erlangen, Germany
- 8Rheumatologisches Versorgungszentrum Steglitz, Berlin, Germany
- 9Rheumatology Practice, Osnabrück, Germany
- 10STAR Healthcare Management GmbH, Köln, Germany
- 11Immunologikum Hamburg, Hamburg, Germany
- 12BDRh Service GmbH, Grünwald, Germany
- 13Rheumapraxis München, München, Germany
- 14Praxis für Rheumatologie, Karlsruhe, Baden-Württemberg, Germany
- 15M.B.W.-Welcker GbR, Planegg, Germany
- 16Freelance Healthcare Data Scientist, Greven, Germany
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Introduction: Inflammatory rheumatic diseases (IRDs) are chronic autoimmune conditions affecting the musculoskeletal system, leading to pain, disability, and reduced quality of life. Despite advances in medical treatments, barriers such as delayed diagnosis, workforce shortages, and low adherence to self-management strategies remain critical challenges. Digital health applications are emerging as promising tools to enhance disease management. The aim of this study was to conduct a systematic literature review (SLR) to evaluate self-care outcomes associated with digital health applications in IRDs.We conducted a systematic literature review according to PRISMA guidelines across four electronic databases (PubMed, Embase, CINAHL, Cochrane) from inception to July 2024. Randomized controlled trials (RCTs) and systematic reviews focusing on digital interventions to promote self-management and self-care in individuals with IRDs were included. Key outcomes were extracted and the quality of the included studies was assessed using the Critical Appraisal Skills Programme (CASP) checklist.Results: Fifteen RCTs with a total of 1912 participants were analyzed. Primary outcomes, including self-management/self-care, showed mixed results. Some studies demonstrated significant improvements in self-efficacy, pain reduction, depression/anxiety symptoms, and physical function, while others showed no notable changes. Secondary outcomes, including disease activity and medication adherence, revealed heterogeneous findings. Variability in study design, sample size, and intervention duration posed challenges for drawing definitive conclusions about the effectiveness of digital interventions.Discussion: Digital health applications show promise as cost-effective and scalable solutions to complement standard IRD care by empowering patients in their disease management. However, significant heterogeneity and limited generalizability highlight the need for more robust and longterm research to validate the efficacy of specific tools and identify best options for improving outcomes. Tailored digital interventions could bridge the gap in care for IRD patients and support their autonomy.
Keywords: Digital applications, Inflammatory rheumatic diseases, Systematic review, Selfmanagement, Pain, Depression, self-care, functional impairment
Received: 23 Apr 2025; Accepted: 03 Jun 2025.
Copyright: © 2025 Volkmar, von der Decken, Kleinert, Karberg, Gauler, Klennert, Klennert, Aries, Froschauer, Wildenhain, Muth, Späthling-Mestekemper, Kuhn, Vorbrüggen, Welcker, Bartz-Bazzanella and Englbrecht. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Matthias Englbrecht, Freelance Healthcare Data Scientist, Greven, Germany
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.