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

Portable and Mobile Technologies for Rehabilitation (151) Mobile Health (mhealth) (2939) mHealth for Rehabilitation (263) Back Pain (116)

Published on in Vol 4, No 2 (2017): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9032, first published .
Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results

Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results

Treatment of Low Back Pain with a Digital Multidisciplinary Pain Treatment App: Short-Term Results

Authors of this article:

Stephan Huber1 Author Orcid Image ;   Janosch A Priebe1 Author Orcid Image ;   Kaja-Maria Baumann1 Author Orcid Image ;   Anne Plidschun2 Author Orcid Image ;   Christine Schiessl1 Author Orcid Image ;   Thomas R Tölle1 Author Orcid Image
Article Authors Cited by (57) Tweetations (13) Metrics

Journals

  1. Thurnheer S, Gravestock I, Pichierri G, Steurer J, Burgstaller J. Benefits of Mobile Apps in Pain Management: Systematic Review. JMIR mHealth and uHealth 2018;6(10):e11231 View
  2. Cavanagh R, Bhargava A, Gleason A, Micheel L, Ciulla R, Hoyt T. Use of Health Technologies for Low Back Pain in the Military Health System. Journal of Technology in Behavioral Science 2019;4(4):360 View
  3. Priebe J, Utpadel-Fischler D, Toelle T. <p>Less Pain, Better Sleep? The Effect of a Multidisciplinary Back Pain App on Sleep Quality in Individuals Suffering from Back Pain – a Secondary Analysis of App User Data</p>. Journal of Pain Research 2020;Volume 13:1121 View
  4. Sandal L, Stochkendahl M, Svendsen M, Wood K, Øverås C, Nordstoga A, Villumsen M, Rasmussen C, Nicholl B, Cooper K, Kjaer P, Mair F, Sjøgaard G, Nilsen T, Hartvigsen J, Bach K, Mork P, Søgaard K. An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial. JMIR Research Protocols 2019;8(12):e14720 View
  5. Watson N, Demetriou G, Cole D, Hassenkamp A, Thomson D. The effects of mindfulness training on persistent or intermittent sub-acute pain: using the Headspace®application. European Journal of Physiotherapy 2020;22(5):253 View
  6. Wang J, Rogge A, Armour M, Smith C, D’Adamo C, Pischke C, Yen H, Wu M, Moré A, Witt C, Pach D. International ResearchKit App for Women with Menstrual Pain (Development, Access, and Engagement): Pragmatic Randomized Control Trial. JMIR mHealth and uHealth 2020;8(2):e14661 View
  7. Selter A, Tsangouri C, Ali S, Freed D, Vatchinsky A, Kizer J, Sahuguet A, Vojta D, Vad V, Pollak J, Estrin D. An mHealth App for Self-Management of Chronic Lower Back Pain (Limbr): Pilot Study. JMIR mHealth and uHealth 2018;6(9):e179 View
  8. Shebib R, Bailey J, Smittenaar P, Perez D, Mecklenburg G, Hunter S. Randomized controlled trial of a 12-week digital care program in improving low back pain. npj Digital Medicine 2019;2(1) View
  9. Bhattarai P, Newton-John T, Phillips J. Apps for pain self-management of older people’s arthritic pain, one size doesn’t fit all: A qualitative study. Archives of Gerontology and Geriatrics 2020;89:104062 View
  10. Toelle T, Utpadel-Fischler D, Haas K, Priebe J. App-based multidisciplinary back pain treatment versus combined physiotherapy plus online education: a randomized controlled trial. npj Digital Medicine 2019;2(1) View
  11. Bach K, Marling C, Mork P, Aamodt A, Mair F, Nicholl B. Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. Journal of Intelligent Information Systems 2019;52(2):269 View
  12. Clement I, Lorenz A, Ulm B, Plidschun A, Huber S. Implementing Systematically Collected User Feedback to Increase User Retention in a Mobile App for Self-Management of Low Back Pain: Retrospective Cohort Study. JMIR mHealth and uHealth 2018;6(6):e10422 View
  13. Priebe J, Haas K, Moreno Sanchez L, Schoefmann K, Utpadel-Fischler D, Stockert P, Thoma R, Schiessl C, Kerkemeyer L, Amelung V, Jedamzik S, Reichmann J, Marschall U, Toelle T. <p>Digital Treatment of Back Pain versus Standard of Care: The Cluster-Randomized Controlled Trial, Rise-uP</p>. Journal of Pain Research 2020;Volume 13:1823 View
  14. Pfeifer A, Uddin R, Schröder-Pfeifer P, Holl F, Swoboda W, Schiltenwolf M. Mobile Application-Based Interventions for Chronic Pain Patients: A Systematic Review and Meta-Analysis of Effectiveness. Journal of Clinical Medicine 2020;9(11):3557 View
  15. Stamm O, Heimann-Steinert A. Accuracy of Monocular Two-Dimensional Pose Estimation Compared With a Reference Standard for Kinematic Multiview Analysis: Validation Study. JMIR mHealth and uHealth 2020;8(12):e19608 View
  16. Tauben D, Langford D, Sturgeon J, Rundell S, Towle C, Bockman C, Nicholas M. Optimizing telehealth pain care after COVID-19. Pain 2020;161(11):2437 View
  17. Kowatsch T, Lohse K, Erb V, Schittenhelm L, Galliker H, Lehner R, Huang E. Hybrid Ubiquitous Coaching With a Novel Combination of Mobile and Holographic Conversational Agents Targeting Adherence to Home Exercises: Four Design and Evaluation Studies. Journal of Medical Internet Research 2021;23(2):e23612 View
  18. Bulaj G, Clark J, Ebrahimi M, Bald E. From Precision Metapharmacology to Patient Empowerment: Delivery of Self-Care Practices for Epilepsy, Pain, Depression and Cancer Using Digital Health Technologies. Frontiers in Pharmacology 2021;12 View
  19. Jain D, Norman K, Werner Z, Makovoz B, Baker T, Huber S. Using Postmarket Surveillance to Assess Safety-Related Events in a Digital Rehabilitation App (Kaia App): Observational Study. JMIR Human Factors 2021;8(4):e25453 View
  20. Lewkowicz D, Slosarek T, Wernicke S, Winne A, Wohlbrandt A, Bottinger E. Digital Therapeutic Care and Decision Support Interventions for People With Low Back Pain: Systematic Review. JMIR Rehabilitation and Assistive Technologies 2021;8(4):e26612 View
  21. Greenstein J, Topp R, Etnoyer-Slaski J, Staelgraeve M, McNulty J. Effect of a Mobile Health App on Adherence to Physical Health Treatment: Retrospective Analysis. JMIR Rehabilitation and Assistive Technologies 2021;8(4):e31213 View
  22. Costa F, Janela D, Molinos M, Moulder R, Lains J, Bento V, Scheer J, Yanamadala V, Correia F, Cohen S. Digital Rehabilitation for Acute Low Back Pain: A Prospective Longitudinal Cohort Study. Journal of Pain Research 2022;Volume 15:1873 View
  23. Dobija L, Lechauve J, Mbony-Irankunda D, Plan-Paquet A, Dupeyron A, Coudeyre E. Smartphone applications are used for self-management, telerehabilitation, evaluation and data collection in low back pain healthcare: a scoping review. F1000Research 2022;11:1001 View
  24. Wiegel J, Seppen B, van der Leeden M, van der Esch M, de Vries R, Bos W. Adherence to Telemonitoring by Electronic Patient-Reported Outcome Measures in Patients with Chronic Diseases: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(19):10161 View
  25. Shetty A, Delanerolle G, Zeng Y, Shi J, Ebrahim R, Pang J, Hapangama D, Sillem M, Shetty S, Shetty B, Hirsch M, Raymont V, Majumder K, Chong S, Goodison W, O’Hara R, Hull L, Pluchino N, Shetty N, Elneil S, Fernandez T, Brownstone R, Phiri P. A systematic review and meta-analysis of digital application use in clinical research in pain medicine. Frontiers in Digital Health 2022;4 View
  26. Hörder H, Nero H, Misini Ignjatovic M, Kiadaliri A, Lohmander L, Dahlberg L, Abbott A. Digitally Delivered Exercise and Education Treatment Program for Low Back Pain: Longitudinal Observational Cohort Study. JMIR Rehabilitation and Assistive Technologies 2022;9(2):e38084 View
  27. Rintala A, Rantalainen R, Kaksonen A, Luomajoki H, Kauranen K. mHealth Apps for Low Back Pain Self-management: Scoping Review. JMIR mHealth and uHealth 2022;10(8):e39682 View
  28. Costa F, Janela D, Molinos M, Lains J, Francisco G, Bento V, Dias Correia F. Telerehabilitation of acute musculoskeletal multi-disorders: prospective, single-arm, interventional study. BMC Musculoskeletal Disorders 2022;23(1) View
  29. Bjornaraa J, Bowers A, Mino D, Choice D, Metz D, Wagner K. Effects of a Remotely Delivered Cognitive Behavioral Coaching Program on the Self-Rated Functional Disability of Participants with Low Back Pain. Pain Management Nursing 2022;23(4):397 View
  30. Stark C, Cunningham J, Turner P, Johnson M, Bäcker H. App-Based Rehabilitation in Back Pain, a Systematic Review. Journal of Personalized Medicine 2022;12(10):1558 View
  31. Priebe J, Toelle T. Is there a right control condition in mHealth trials? A critical view on pain medicine. npj Digital Medicine 2019;2(1) View
  32. Topp R, Greenstein J, Etnoyer-Slaski J. The Effect of a Mobile Health App on Treatment Adherence and Revenue at Physical Health Clinics: Retrospective Record Review. JMIR Rehabilitation and Assistive Technologies 2023;10:e43507 View
  33. Keel S, Schmid A, Keller F, Schoeb V. Investigating the use of digital health tools in physiotherapy: facilitators and barriers. Physiotherapy Theory and Practice 2023;39(7):1449 View
  34. Truong M, Nwosu O, Gaytan Torres M, Segura Vargas M, Seifer A, Nitschke M, Ibrahim A, Knitza J, Krusche M, Eskofier B, Schett G, Morf H. A Yoga Exercise App Designed for Patients With Axial Spondylarthritis: Development and User Experience Study. JMIR Formative Research 2022;6(6):e34566 View
  35. Costa F, Janela D, Molinos M, Moulder R, Bento V, Lains J, Scheer J, Yanamadala V, Cohen S, Dias Correia F. Impacts of Digital Care Programs for Musculoskeletal Conditions on Depression and Work Productivity: Longitudinal Cohort Study. Journal of Medical Internet Research 2022;24(7):e38942 View
  36. Hochheim M, Ramm P, Wunderlich M, Amelung V. Association between chronic low back pain and regular exercise, sedentary behaviour and mental health before and during COVID-19 pandemic: insights from a large-scale cross-sectional study in Germany. BMC Musculoskeletal Disorders 2022;23(1) View
  37. Priebe J, Stachwitz P, Hagen J, Boltres A, Haas K, Schuster P, Wendlinger J, Papenhoff M, Isenberg T, Debatin J, Toelle T. Einstellung zur digitalen Medizin im Schmerzbereich. Der Schmerz 2024;38(5):343 View
  38. Rohaj A, Bulaj G. Digital Therapeutics (DTx) Expand Multimodal Treatment Options for Chronic Low Back Pain: The Nexus of Precision Medicine, Patient Education, and Public Health. Healthcare 2023;11(10):1469 View
  39. Barreveld A, Rosén Klement M, Cheung S, Axelsson U, Basem J, Reddy A, Borrebaeck C, Mehta N. An artificial intelligence-powered, patient-centric digital tool for self-management of chronic pain: a prospective, multicenter clinical trial. Pain Medicine 2023;24(9):1100 View
  40. Ulrich L, Thies P, Schwarz A. Availability, Quality, and Evidence-Based Content of mHealth Apps for the Treatment of Nonspecific Low Back Pain in the German Language: Systematic Assessment. JMIR mHealth and uHealth 2023;11:e47502 View
  41. Neves A, Martins R, Matela N, Atalaia T. PosturAll: A Posture Assessment Software for Children. Bioengineering 2023;10(10):1171 View
  42. Heo D, Kim J, Kim J. The Effects of Online-Based Interventions for Chronic Low Back Pain Patients: A Clinical Trial. Clinical Pain 2023;22(1):38 View
  43. Kheirinejad S, Visuri A, Suryanarayana S, Hosio S. Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits. Heliyon 2023;9(6):e16586 View
  44. LI J, LI D, ZHOU M, XUE K, LONG J, WANG Y. Application of Mobile Internet Applications in Rehabilitation. Rehabilitation Medicine 2023;33(2):186 View
  45. Son S, Yoo B, Jeong Y. Digital therapeutics-based lumbar core exercise for patients with low back pain: A prospective exploratory pilot study. DIGITAL HEALTH 2024;10 View
  46. Main A, McCartney H, Ibrar M, Rai H, Muirhead F, Mavroeidi A, Maguire R. Patients’ Experiences of Digital Health Interventions for the Self-Management of Chronic Pain: Protocol for a Systematic Review and Thematic Synthesis. JMIR Research Protocols 2024;13:e52469 View
  47. Robinson C, D'Souza R, Yazdi C, Diejomaoh E, Schatman M, Emerick T, Orhurhu V. Reviewing the Potential Role of Artificial Intelligence in Delivering Personalized and Interactive Pain Medicine Education for Chronic Pain Patients. Journal of Pain Research 2024;Volume 17:923 View
  48. Dobija L, Lechauve J, Mbony-Irankunda D, Plan-Paquet A, Dupeyron A, Coudeyre E. Smartphone applications are used for self-management, telerehabilitation, evaluation and data collection in low back pain healthcare: a scoping review. F1000Research 2024;11:1001 View
  49. Griefahn A, Zalpour C, Luedtke K. Identifying the risk of exercises, recommended by an artificial intelligence for patients with musculoskeletal disorders. Scientific Reports 2024;14(1) View
  50. Priebe J, Kerkemeyer L, Haas K, Achtert K, Moreno Sanchez L, Stockert P, Spannagl M, Wendlinger J, Thoma R, Jedamzik S, Reichmann J, Franke S, Sundmacher L, Amelung V, Toelle T. Medical App Treatment of Non-Specific Low Back Pain in the 12-month Cluster-Randomized Controlled Trial Rise-uP: Where Clinical Superiority Meets Cost Savings. Journal of Pain Research 2024;Volume 17:2239 View
  51. Shi J, Sit R. Impact of 25 Years of Mobile Health Tools for Pain Management in Patients With Chronic Musculoskeletal Pain: Systematic Review. Journal of Medical Internet Research 2024;26:e59358 View
  52. Schmidt S, Krahl D, Podszun J, Knecht S, Zimmerer A, Sobau C, Ellermann A, Ruhl A. Combining a digital health application with standard care significantly enhances rehabilitation outcomes for ACL surgery patients. Knee Surgery, Sports Traumatology, Arthroscopy 2024 View
  53. Kaminski C. Digital, Mensch oder beides?. MSK – Muskuloskelettale Physiotherapie 2024;28(04):225 View

Books/Policy Documents

  1. Arnstein P. Spine Pain Care. View
  2. Kreps G. Handbook of Pain and Palliative Care. View
  3. Priebe J, Haas K, Kerkemeyer L, Schiessl C, Tölle T. Digitale Transformation von Dienstleistungen im Gesundheitswesen VI. View
  4. Suso-Ribera C, Castilla D, Martínez-Borba V, Jaén I, Botella C, Baños R, García-Palacios A. Comprehensive Clinical Psychology. View