Trial reportJournal of medical Internet research2022
The Effect of an App-Based Home Exercise Program on Self-reported Pain Intensity in Unspecific and Degenerative Back Pain: Pragmatic Open-label Randomized Controlled Trial.
Trial report in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- The physical and psychological effectiveness of mHealth-based physiotherapy for patients with chronic non-specific low back pain: A systematic review and meta-analysis.Journal of telemedicine and telecare · 2026Pooled it
- mHealth applications to enhance physical therapy outcomes among adults with chronic non-cancer pain: a scoping review.Frontiers in pain research (Lausanne, Switzerland) · 2026Pooled it
- Engagement in Digital Self-management Interventions for Chronic Pain: A Systematic Review.The Clinical journal of pain · 2025Pooled it
- Impact of 25 Years of Mobile Health Tools for Pain Management in Patients With Chronic Musculoskeletal Pain: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Efficacy of mHealth Interventions for Improving the Pain and Disability of Individuals With Chronic Low Back Pain: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2023Pooled it
- Impact of personalized coaching on the use of digital health interventions for movement therapy in rheumatology: a randomized controlled trial.Scientific reports · 2026Trial
- Evaluation of the Impact of a Smartphone App on Adherence to an Exercise Program in People With Chronic Low Back Pain: Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- Effectiveness of Self-Training With a Web-Based Digital Health Application Versus Physiotherapy in the Treatment of Disorders of the Patella: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- The application of a digital therapeutic reveals superior outcome compared to standard care in patients with anterior knee pain-a randomized controlled trial.Archives of orthopaedic and trauma surgery · 2025Trial
- Impact of the digital health application ViViRA on spinal mobility, physical function, quality of life and pain perception in spondyloarthritides patients: a randomized controlled trial.Arthritis research & therapy · 2024Trial
- Non-inferiority of hybrid outpatient telerehabilitation for patients with back pain: 3-month follow-up of a randomized controlled trial.European journal of physical and rehabilitation medicine · 2024Trial
- The Added Value of Face-to-Face Supervision to a Therapeutic Exercise-Based App in the Management of Patients with Chronic Low Back Pain: A Randomized Clinical Trial.Sensors (Basel, Switzerland) · 2024Trial
- Healthcare effects and evidence robustness of reimbursable digital health applications in Germany: a systematic review.NPJ digital medicine · 2025Article
- Combined Use of Digital and Analog Physical Therapy in Patients With Musculoskeletal Disorders and Indicators of Chronicity: German Claims Data Analysis.JMIR mHealth and uHealth · 2025Article
- Linking physical activity to workers' low back pain, back health, and theory-based psychological variables: study protocol of the workHealth intensive longitudinal observational study.BMC public health · 2025Article
- 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 formative research · 2025Article
- Back on track - digital health applications to treat back pain of rheumatic patients? Results of a qualitative interview study.Rheumatology international · 2024Article
- The Efficacy of the Smartphone App for the Self-Management of Low Back Pain: A Systematic Review and Assessment of Their Quality through the Mobile Application Rating Scale (MARS) in Italy.Life (Basel, Switzerland) · 2024Review
- Meta-Analysis of Studies on the Effects of Digital Therapeutics.Journal of personalized medicine · 2024Article
- The Effect of Therapeutic Adherence on the Effectiveness of a Digital Therapeutic Exercise Program: A Propensity Score Matching Analysis.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe recommended first-line treatment for unspecific and degenerative back pain consists of movement exercises and patient education.
objectiveUsing a pragmatic, randomized controlled trial, we evaluated the effectiveness of a digital home exercise program on self-reported pain intensity compared with the standard of care for physiotherapy.
methodsParticipant recruitment was based on newspaper advertisements and a consecutive on-site assessment for eligibility and enrollment. Participants with unspecific and degenerative back pain aged ≥18 years were randomly assigned in a 1:1 ratio to receive a 12-week stand-alone digital home exercise program or physiotherapy. The digital home exercise program included 4 exercises daily, while physiotherapy included 6 to 12 sessions, depending on the severity of symptoms. The primary outcome was pain, which was assessed using a verbal numerical rating scale. The clinical relevance of pain reduction was assessed using the following thresholds: improvement of at least 1.4 points on the verbal numerical rating scale and a pain reduction of at least 30%.
resultsDuring the study period, 108 participants were assigned to the intervention group and 105 participants to the control group. The mean difference in pain scores between the 2 groups at 12 weeks was -2.44 (95% CI -2.92 to -1.95; P<.01) in favor of the intervention group. The group receiving the digital therapeutic achieved a clinically relevant reduction in pain over the course of the study (baseline vs 12 weeks), with a mean change of -3.35 (SD 2.05) score points or -53.1% (SD 29.5). By contrast, this change did not reach clinical relevance in the control group (mean -0.91, SD 1.5; -14.6%, SD 25.3). Retention rates of 89.9% in the intervention group and 97.3% in the control group were maintained throughout the study.
conclusionsThe use of the app-based home exercise program led to a significant and clinically relevant reduction in pain intensity throughout the 12-week duration of the program. The intervention studied showed superior improvement in self-reported pain intensity when compared with the standard of care. Given the great demand for standard physiotherapy for unspecific and degenerative back pain, digital therapeutics are evolving into a suitable therapeutic option that can overcome the limitations of access and availability of conventional modes of health care delivery into this spectrum of indications. However, further independent evaluations are required to support the growing body of evidence on the effectiveness of digital therapeutics in real-world care settings.
trial registrationGerman Clinical Trials Register DRKS00022781; https://tinyurl.com/hpdraa89.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.