SynthesisJMIR mHealth and uHealth2021
Efficacy of Mobile Health in Patients With Low Back Pain: Systematic Review and Meta-analysis of Randomized Controlled Trials.
Synthesis in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07705945 (Using Telehealth to Improve Musculoskeletal Care Through Expanded Physical Therapy Access), which is not on this map. Cited by 20 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.
Using Telehealth to Improve Musculoskeletal Care Through Expanded Physical Therapy Access: The TELE-MC Trial
Who cites it
20 citing papers in PubMed, 5 syntheses or guidelines pooled it, 75 citations in OpenAlex.
- Effectiveness of Telerehabilitation for Chronic Nonspecific Low Back Pain: Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Mobile technologies for rehabilitation in non-specific spinal disorders: a systematic review of the efficacy and potential for implementation in low- and middle-income countries.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023Pooled 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
- The Efficacy and Safety of Telerehabilitation for Fibromyalgia: Systematic Review and Meta-analysis of Randomized Controlled Trials.Journal of medical Internet research · 2023Pooled it
- 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
- Feasibility of a multidisciplinary group videoconferencing approach for chronic low back pain: a randomized, open-label, controlled, pilot clinical trial (EN-FORMA).BMC musculoskeletal disorders · 2023Trial
- A multicenter trial-based economic evaluation of a mobile health intervention for individuals with chronic non-specific low back pain: randomized controlled trial protocol.BMC musculoskeletal disorders · 2025Article
- The feasibility of M-health for people with chronic low back pain in Shanghai, China: A qualitative study.Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao · 2025Article
- Review
- Exercise-based telerehabilitation in chronic low back pain - a scoping review.BMC musculoskeletal disorders · 2024Article
- Article
- Randomized-controlled trial assessing a digital care program versus conventional physiotherapy for chronic low back pain.NPJ digital medicine · 2023Article
- Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits.Heliyon · 2023Review
- The state of the art in telerehabilitation for musculoskeletal conditions.Archives of physiotherapy · 2023Article
- Can you be a manual therapist without using your hands?Chiropractic & manual therapies · 2022Article
- Mobile App Prototype in Older Adults for Postfracture Acute Pain Management: User-Centered Design Approach.JMIR aging · 2022Article
- mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis.Journal of medical Internet research · 2022Article
- A vision for the future of wearable sensors in spine care and its challenges: narrative review.Journal of spine surgery (Hong Kong) · 2022Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow back pain is one of the most common health problems and a main cause of disability, which imposes a great burden on patients. Mobile health (mHealth) affects many aspects of people's lives, and it has progressed rapidly, showing promise as an effective intervention for patients with low back pain. However, the efficacy of mHealth interventions for patients with low back pain remains unclear; thus, further exploration is necessary.
objectiveThe purpose of this study was to evaluate the efficacy of mHealth interventions in patients with low back pain compared to usual care.
methodsThis was a systematic review and meta-analysis of randomized controlled trials designed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) statement standard. We searched for studies published in English before October 2020 in the PubMed, EMBASE, Web of Science, and Cochrane Library databases. Two researchers independently scanned the literature, extracted data, and assessed the methodological quality of the included studies. Bias risks were assessed using the Cochrane Collaboration tool. We used RevMan 5.4 software to perform the meta-analysis.
resultsA total of 9 studies with 792 participants met the inclusion criteria. The simultaneous use of mHealth and usual care showed a better reduction in pain intensity than usual care alone, as measured by the numeric rating scale (mean difference [MD] -0.85, 95% CI -1.29 to -0.40; P<.001), and larger efficacy in reducing disability, as measured by the Rolland-Morris Disability Questionnaire (MD -1.54, 95% CI -2.35 to -0.73; P<.001). Subgroup analyses showed that compared with usual care, mHealth using telephone calls significantly reduced pain intensity (MD -1.12, 95% CI -1.71 to -0.53; P<.001) and disability score (MD -1.68, 95% CI -2.74 to -0.63; P<.001). However, without the use of telephone calls, mHealth had no obvious advantage over usual care in improving pain intensity (MD -0.48, 95% CI -1.16 to 0.20; P=.16) and the disability score (MD -0.41, 95% CI -1.88 to 1.05; P=.58). The group that received a more sensitive feedback intervention showed a significantly reduced disability score (MD -4.30, 95% CI -6.95 to -1.69; P=.001).
conclusionsThe use of simultaneous mHealth and usual care interventions has better efficacy than usual care alone in reducing pain intensity and disability in patients with low back pain. Moreover, the results of subgroup analysis revealed that mHealth using telephone calls might play a positive role in improving pain intensity and disability in patients with low back pain.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.