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

mHealth for Rehabilitation (352) Design and Formative Evaluation of Mobile Apps (809) Innovations in Exercise Rehabilitation (284) Mobile Health (mhealth) (3464)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54356, first published .
Efficacy of the mHealth-Based Exercise Intervention re.flex for Patients With Knee Osteoarthritis: Pilot Randomized Controlled Trial

Efficacy of the mHealth-Based Exercise Intervention re.flex for Patients With Knee Osteoarthritis: Pilot Randomized Controlled Trial

Efficacy of the mHealth-Based Exercise Intervention re.flex for Patients With Knee Osteoarthritis: Pilot Randomized Controlled Trial

Authors of this article:

Valerie Dieter1, 2 Author Orcid Image ;   Pia Janssen1, 2 Author Orcid Image ;   Inga Krauss1, 2 Author Orcid Image
Article Authors Cited by (14) Tweetations Metrics

Journals

  1. Donati D, Giorgi F, Domiziano T, Tarallo L, Catani F, Platano D, Tedeschi R. Maximizing Knee OA Treatment: A Comparative Look at Physiotherapy and Injections. Journal of Personalized Medicine 2024;14(11):1077 View
  2. Pelletier-Visa M, Dobija L, Bonhomme A, Lanhers C, Pereira B, Coudeyre E. Effectiveness of the ARTHE-e app for exercise adherence in people with knee osteoarthritis: protocol for a randomised controlled trial. BMJ Open 2025;15(1):e088860 View
  3. Brin M, Fontalvo S, Hu D, Cioe P, Huang M, Xu W, Schnall R. Validating the information technology (IT) implementation framework to Implement mHealth technology for consumers: A case study of the Sense2Quit app for smoking cessation. International Journal of Medical Informatics 2025;202:105977 View
  4. Wang Z, Wang Z, Deng R, Xia M, Huang L. Evaluation scale and behavioral model construction for intention to use postpartum exercise rehabilitation mobile application based on user experience. Frontiers in Psychology 2025;16 View
  5. Zhou P, Liu Z, Dai J, Yang M, Sui H, Huang Z, Li Y, Song L. KNN algorithm for accurate identification of IFP lesions in the knee joint: a multimodal MRI study. Scientific Reports 2025;15(1) View
  6. Dieter V, Schmidt J, Krauss I. Patients’ experiences and usability of a self-directed m-health exercise intervention for knee osteoarthritis: a qualitative study. BMJ Open 2025;15(6):e100608 View
  7. Bilgin T, Avcı M, Günay S, Şahin B, Sayaca C, Altan L, Özkal Ö, Coşkun T, Özkaynak H. DeepTherapy: A mobile platform for osteoarthritis rehabilitation utilizing chain-of-thought reasoning and deep learning. The European Research Journal 2025;11(6):1029 View
  8. Hinz M, Wagner D, Kölle T, Mayer-Roth T, Maiwald C. Wirksamkeit digitaler Trainingstherapie bei patellofemoralen Schmerzen. Die Orthopädie 2025 View
  9. Zhang H, Wang H, Zhang C, Zhao R, Lv Q, Zhang L, Zhang H, Yan S. The Effect and Safety of App-Based Interventions for Populations With Osteoarthritis: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2025;13:e71193 View
  10. He X, Zhou H, Jiang Y, Liu D, Qi F, Wang Z. Comparison of Mobile Health-Based Exercise vs Traditional Exercise for Chronic Neck Pain: A Systematic Review and Meta-Analysis. Journal of Pain Research 2025;Volume 18:4639 View
  11. Dieter V, Martus P, Seißler D, Serna-Higuita L, Janssen P, Krauss I. Effectiveness of the Self-Directed mHealth Exercise Intervention re.flex in Patients With Knee Osteoarthritis: Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e71558 View
  12. Ahadzadeh A, Shangfei J, Jiawen Y, Lee K, Ong F. Construal level theory in digital health: How consideration of future consequences bridges health beliefs and the intention to use fitness apps. DIGITAL HEALTH 2025;11 View
  13. Louni Y, Laroche M, Alnasser A, Abuhaneya M, Belzile E, Baskaran S, Mutch J, Albers A. Acceptability of a Digital Care Application in Patients Undergoing Hip and Knee Arthroplasty: A Prospective Cohort Study (Preprint). JMIR Human Factors 2025 View
  14. Stenzel J, Kopkow C, Bahns C. Nutzung mobiler Gesundheits-Apps durch Personen mit Hüft- und Kniegelenksarthrose in Deutschland. physioscience 2025 View