Subscribe to RSS
DOI: 10.1055/a-2653-1376
Nutzung mobiler Gesundheits-Apps durch Personen mit Hüft- und Kniegelenksarthrose in Deutschland
Eine Online-BefragungUse of Mobile Health Apps by Individuals with Hip and Knee Osteoarthritis in GermanyA Web-based SurveyAuthors
Zusammenfassung
Hintergrund
Arthrose ist die häufigste degenerative Gelenkerkrankung weltweit und betrifft auch in Deutschland einen großen Teil der Bevölkerung. Zur Linderung von Beschwerden und zum Erhalt der Gelenkfunktion wird in Leitlinien vor allem Edukation und Bewegungstherapie empfohlen. Mobile Gesundheits-Apps mit integrierten Heimübungsprogrammen können eine sinnvolle Ergänzung zur physiotherapeutischen Behandlung darstellen. Unklar ist jedoch, inwieweit solche Anwendungen tatsächlich zum Krankheitsmanagement verwendet werden.
Ziel
Untersuchung der Nutzung mobiler Gesundheits-Apps durch Personen mit Hüft- und Kniegelenksarthrose in Deutschland.
Methode
Von Juli bis August 2024 wurde eine deutschlandweite Online-Befragung unter Personen mit Hüft- und Kniegelenksarthrose durchgeführt. Erhoben wurden u. a. der Bekanntheitsgrad und die Nutzung allgemeiner sowie arthrosespezifischer Gesundheits-Apps, Gründe gegen die Nutzung und weitere Einflussfaktoren. Die Daten wurden deskriptiv mithilfe von Microsoft Excel ausgewertet.
Ergebnisse
Von insgesamt 88 Teilnehmenden konnten die Antworten von 68 in die Auswertung einbezogen werden. Das Durchschnittsalter der Teilnehmenden lag bei 65,8 (± 8,7) Jahren, 85,3 Prozent (58/68) waren weiblich. Dem Großteil der Befragten (58/68, 85,3 %) waren mobile Gesundheits-Apps grundsätzlich bekannt, 41,2 Prozent (28/68) hatten bereits eine solche App genutzt. Apps, die speziell für Personen mit Arthrose entwickelt wurden, waren weniger bekannt (37/68, 54,4 %). Gleichzeitig zeigten sich 58,9 Prozent (40/68) offen für eine zukünftige Nutzung von mobilen Apps mit integrierten Übungsprogrammen, wenn diese von medizinischem Fachpersonal empfohlen würden. Als zentrale Hinderungsgründe für die Nutzung einer solchen Gesundheits-App nannten die Teilnehmenden eine fehlende persönliche Interaktion sowie Unsicherheiten bei der korrekten Übungsausführung.
Schlussfolgerungen
Obwohl unter den Teilnehmenden generelles Interesse an der Nutzung mobiler Gesundheits-Apps besteht, ist die aktuelle Zahl der Nutzer*innen gering. Um das Potenzial solcher Anwendungen bei der Behandlung von Personen mit Arthrose besser auszuschöpfen, sollten Aufklärung und gezielte Empfehlungen durch Ärzt*innen und Physiotherapeut*innen verstärkt werden. Mobile Gesundheits-Apps könnten so zur Unterstützung von Bewegungstherapie und zur Förderung der Eigenverantwortung der Patient*innen beitragen.
Abstract
Background
Osteoarthritis is the most common degenerative joint disease worldwide and is also highly prevalent in Germany. Education and exercise therapy are recommended as first-line treatments in clinical practice guidelines to reduce pain and improve physical function. Physiotherapy can be complemented by mobile health apps that provide home exercise programs. However, it is unclear to what extent such applications are used for disease management.
Aim
To investigate the use of mobile health apps among individuals with hip and knee osteoarthritis in Germany.
Method
In a nationwide web-based survey conducted between July and August 2024, individuals with hip and knee osteoarthritis were asked about awareness and use of mobile health apps, particularly those specific for osteoarthritis, as well as potential reasons for non-use and other influencing factors. The data were analyzed descriptively using Microsoft Excel.
Results
A total of 88 individuals participated in the survey, of whom 68 were included in the analysis. The mean age of participants was 65.8 (± 8,7) years, and 85.3 % (58/68) were female. Most respondents (58/68, 85.3 %) were familiar with mobile health apps, and 41.2 % (28/68) had previously used at least one. Apps specifically developed for persons with osteoarthritis were less well known (31/68, 45.6 %). Nevertheless, 58,9 % (40/68) of respondents expressed interest to use exercise-based apps in the future, if recommended by healthcare professionals. The main barriers to mobile health app use were lack of personal contact and uncertainty about how to perform the exercises correctly.
Conclusions
Although there was a widespread interest among participants in using mobile health apps for osteoarthritis management, actual usage remained low. In order to integrate such applications more effectively into osteoarthritis management, healthcare professionals, in particular physicians and physiotherapists, should provide targeted education and recommendations. The use of mobile health apps can complement exercise therapy and encourage patients to take a more active role in managing their condition.
Schlüsselwörter
Arthrose - Selbstmanagement - digitale Gesundheitsanwendungen - Gesundheits-Apps - Online-BefragungPublication History
Received: 12 June 2025
Accepted: 12 September 2025
Article published online:
20 November 2025
© 2025. Thieme. All rights reserved.
Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
-
Literatur
- 1 Fuchs J, Rabenberg M, Scheidt-Nave C. Prävalenz ausgewählter muskuloskelettaler Erkrankungen – Ergebnisse der Studie zur Gesundheit Erwachsener in Deutschland (DEGS1). Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 2013; 56: 678-686
- 2 Hunter DJ, Bierma-Zeinstra S. Osteoarthritis. Lancet 2019; 393: 1745-1759
- 3 Hunter DJ, McDougall JJ, Keefe FJ. The symptoms of osteoarthritis and the genesis of pain. Rheum Dis Clin North Am 2008; 34: 623-643
- 4 NICE, Hrsg. Osteoarthritis in over 16s: diagnosis and management. Accessed May 12, 2025 at: https://www.nice.org.uk/guidance/ng226
- 5 Bannuru RR, Osani MC, Vaysbrot EE. et al. OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis. Osteoarthr Cartil 2019; 27: 1578-1589
- 6 Moseng T, Vliet Vlieland TPM, Battista S. et al. EULAR recommendations for the non-pharmacological core management of hip and knee osteoarthritis: 2023 update. Ann Rheum Dis 2024; 83: 730
- 7 Dobson F, Bennell KL, French SD. et al. Barriers and Facilitators to Exercise Participation in People with Hip and/or Knee Osteoarthritis: Synthesis of the Literature Using Behavior Change Theory. Am J Phys Med Rehabil 2016; 95: 372-389
- 8 Kanavaki AM, Rushton A, Efstathiou N. et al. Barriers and facilitators of physical activity in knee and hip osteoarthritis: a systematic review of qualitative evidence. BMJ Open 2017; 7: e017042
- 9 Klasnja P, Pratt W. Healthcare in the pocket: Mapping the space of mobile-phone health interventions. J Biomed Inform 2012; 45: 184-198
- 10 Paolucci T, Pezzi L, Bressi F. et al. Exploring ways to improve knee osteoarthritis care: The role of mobile apps in enhancing therapeutic exercise-a systematic review. Digit Health 2024; 10: 20552076241297296
- 11 Stachwitz P, Debatin JF. Digitalisierung im Gesundheitswesen: Heute und in Zukunft. Bundesgesundheitsblatt – Gesundheitsforschung – Gesundheitsschutz 2023; 66: 105-113
- 12 Ernsting C, Dombrowski SU, Oedekoven M. et al. Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey. J Med Internet Res 2017; 19: e101
- 13 Rasche P, Wille M, Bröhl C. et al. Prevalence of Health App Use Among Older Adults in Germany: National Survey. JMIR Mhealth Uhealth 2018; 6: e26
- 14 Uncovska M, Freitag B, Meister S. et al. Patient Acceptance of Prescribed and Fully Reimbursed mHealth Apps in Germany: An UTAUT2-based Online Survey Study. J Med Syst 2023; 47: 14
- 15 [Anonym]. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 2013; 310: 2191-2194
- 16 Sharma A, Minh Duc NT, Luu Lam TT. et al. A Consensus-Based Checklist for Reporting of Survey Studies (CROSS). J Gen Intern Med 2021; 36: 3179-3187
- 17 Attig C, Franke T. Abandonment of personal quantification: A review and empirical study investigating reasons for wearable activity tracking attrition. Comput Human Behav 2020; 102: 223-237
- 18 Biebl JT, Huber S, Rykala M. et al. Attitudes and Expectations of Health Care Professionals Toward App-Based Therapy in Patients with Osteoarthritis of the Hip or Knee: Questionnaire Study. JMIR Mhealth Uhealth 2020; 8: e21704
- 19 Busch-Casler J, Radic M. Trust and Health Information Exchanges: Qualitative Analysis of the Intent to Share Personal Health Information. J Med Internet Res 2023; 25: e41635
- 20 Kampmeijer R, Pavlova M, Tambor M. et al. The use of e-health and m-health tools in health promotion and primary prevention among older adults: a systematic literature review. BMC Health Serv Res 2016; 16 (Suppl. 05) 290
- 21 Lambert TE, Harvey LA, Avdalis C. et al. An app with remote support achieves better adherence to home exercise programs than paper handouts in people with musculoskeletal conditions: a randomised trial. J Physiother 2017; 63: 161-167
- 22 Mrklas KJ, Barber T, Campbell-Scherer D. et al. Co-Design in the Development of a Mobile Health App for the Management of Knee Osteoarthritis by Patients and Physicians: Qualitative Study. JMIR Mhealth Uhealth 2020; 8: e17893
- 23 Schroeder T, Haug M, Georgiou A. et al. Evidence of How Physicians and Their Patients Adopt mHealth Apps in Germany: Exploratory Qualitative Study. JMIR Mhealth Uhealth 2024; 12: e48345
- 24 Hensley CP, Witte MM, Cai J. et al. Assessment of Mobile Health Applications for Management of Knee and/or Hip Osteoarthritis Using the Mobile Application Rating Scale. J Clin Rheumatol 2023; 29: 245-253
- 25 Kamilu Sulaiman S, Wong AYL, Liangchi LiL. et al. The use of mobile health technology in the management of osteoarthritis: A scoping review with scientometric analyses. Int J Med Inform 2023; 170: 104937
- 26 Oba T, Takano K, Katahira K. et al. Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey. JMIR Mhealth Uhealth 2023; 11: e49148
- 27 Arntz A, Weber F, Handgraaf M. et al. Technologies in Home-Based Digital Rehabilitation: Scoping Review. JMIR Rehabil Assist Technol 2023; 10: e43615
- 28 Orr JA, King RJ. Mobile phone SMS messages can enhance healthy behaviour: a meta-analysis of randomised controlled trials. Health Psychol Rev 2015; 9: 397-416
- 29 Wentzel J, van der Vaart R, Bohlmeijer ET. et al. Mixing Online and Face-to-Face Therapy: How to Benefit From Blended Care in Mental Health Care. JMIR Ment Health 2016; 3: e9
- 30 Kloek CJJ, van Dongen JM, de Bakker DH. et al. Cost-effectiveness of a blended physiotherapy intervention compared to usual physiotherapy in patients with hip and/or knee osteoarthritis: a cluster randomized controlled trial. BMC Public Health 2018; 18: 1082
- 31 Collado-Mateo D, Lavín-Pérez AM, Peñacoba C. et al. Key Factors Associated with Adherence to Physical Exercise in Patients with Chronic Diseases and Older Adults: An Umbrella Review. Int J Environ Res Public Health 2021; 18
- 32 Gell NM, Smith PA, Wingood M. Physical Therapist and Patient Perspectives on Mobile Technology to Support Home Exercise Prescription for People With Arthritis: A Qualitative Study. Cureus 2024; 16: e55899
- 33 Giebel GD, Speckemeier C, Abels C. et al. Problems and Barriers Related to the Use of Digital Health Applications: Scoping Review. J Med Internet Res 2023; 25: e43808
- 34 Barber T, Sharif B, Teare S. et al. Qualitative study to elicit patients’ and primary care physicians’ perspectives on the use of a self-management mobile health application for knee osteoarthritis. BMJ Open 2019; 9: e024016
- 35 Appfigures, Hrsg. Anzahl der im Apple App-Store verfügbaren mHealth-Apps vom 1. Quartal 2015 bis zum 3. Quartal 2020. Accessed August 28, 2022 at: https://de.statista.com/statistik/daten/studie/1191205/umfrage/anzahl-der-bei-apple-verfuegbaren-mhealth-apps/
- 36 Appfigures, Hrsg. Anzahl der bei Google Play verfügbaren mHealth-Apps weltweit vom 1. Quartal 2015 bis zum 3. Quartal 2020. Accessed August 28, 2025 at: https://de.statista.com/statistik/daten/studie/1190033/umfrage/anzahl-der-bei-google-play-verfuegbaren-mhealth-apps/
- 37 Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM), Hrsg. Das Fast-Track-Verfahren für digitale Gesundheitsanwendungen (DiGA) nach § 139e SGB V – Ein Leitfaden für Hersteller, Leistungserbringer und Anwender. Accessed August 29, 2025 at: https://www.bfarm.de/SharedDocs/Downloads/DE/Medizinprodukte/diga_leitfaden.html?nn=597198
- 38 Herpertz J, Dwyer B, Taylor J. et al. Developing a standardized framework for evaluating health apps using natural language processing. Sci Rep 2025; 15: 11775
- 39 Stoyanov SR, Hides L, Kavanagh DJ. et al. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth 2015; 3: e27
- 40 Messner EM, Terhorst Y, Barke A. et al. The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study. JMIR Mhealth Uhealth 2020; 8: e14479
- 41 Camacho E, Cohen A, Torous J. Assessment of Mental Health Services Available Through Smartphone Apps. JAMA Network Open 2022; 5: e2248784-e2248784
- 42 Knitza J, Tascilar K, Messner EM. et al. German Mobile Apps in Rheumatology: Review and Analysis Using the Mobile Application Rating Scale (MARS). JMIR Mhealth Uhealth 2019; 7: e14991
- 43 Dieter V, Janssen P, Krauss I. Efficacy of the mHealth-Based Exercise Intervention re.flex for Patients With Knee Osteoarthritis: Pilot Randomized Controlled Trial. JMIR Mhealth Uhealth 2024; 12: e54356
- 44 Bhatia A, Kara J, Janmohamed T. et al. User Engagement and Clinical Impact of the Manage My Pain App in Patients With Chronic Pain: A Real-World, Multi-site Trial. JMIR Mhealth Uhealth 2021; 9: e26528
- 45 Gamwell KL, Kollin SR, Gibler RC. et al. Systematic evaluation of commercially available pain management apps examining behavior change techniques. Pain 2021; 162: 856-865
- 46 Slepian PM, Peng M, Janmohamed T. et al. Engagement with Manage My Pain mobile health application among patients at the Transitional Pain Service. Digital Health 2020; 6: 2055207620962297
- 47 Weber F, Kloek C, Stuhrmann S. et al. Usability and preliminary effectiveness of an app-based physical activity and education program for people with hip or knee osteoarthritis – a pilot randomized controlled trial. Arthritis Res Ther 2024; 26: 83
- 48 Weber F, Neumann S, Bahns C. et al. Short-Term Effectiveness of a Smartphone-assisted Training and Education Programm fpr People with Hip and/or Knie Osteoarthritis: A Multicentre Randomized Controlled Trial. Osteoarthr Cartil 2025; 33: S488
- 49 Griefahn A, Avermann F, Zalpour C. et al. Exploring the Effect of an 8-Week AI-Composed Exercise Program on Pain Intensity and Well-Being in Patients With Spinal Pain: Retrospective Cohort Analysis. JMIR Form Res 2025; 9: e57826
- 50 Schmidt S, Krahl D, Podszun J. et al. Combining a digital health application with standard care significantly enhances rehabilitation outcomes for ACL surgery patients. Knee Surg Sports Traumatol Arthrosc 2025; 33: 1241-1251
- 51 Stauber A, Schüßler N, Palmdorf S. et al. RECOVER-E – a mobile app for patients undergoing total knee or hip replacement: study protocol. BMC Musculoskelet Disord 2020; 21: 71
- 52 Deutsches Register Klinischer Studien (DRKS), Hrsg. Eine randomisierte, kontrollierte, multizentrische Studie zur Bewertung der Sicherheit und Wirksamkeit der Mida Rheuma App als Ergänzung zur konventionellen Patientenbehandlung bei erwachsenen Patienten mit Rheumatoider Arthritis. DRKS-ID: DRKS00025966. Accessed August 29, 2025 at: https://drks.de/search/de/trial/DRKS00025966
- 53 Akbar S, Coiera E, Magrabi F. Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review. J Am Med Inform Assoc 2020; 27: 330-340