Trial reportBMC musculoskeletal disorders2015
The effect of changing movement and posture using motion-sensor biofeedback, versus guidelines-based care, on the clinical outcomes of people with sub-acute or chronic low back pain-a multicentre, cluster-randomised, placebo-controlled, pilot trial.
Trial report in BMC musculoskeletal disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01572779 (A Multicentre, Cluster Randomised, Placebo-controlled, Open-label Pilot Study of Back Strain Monitor), which is not on this map. Cited by 47 papers, 4 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.
A Multicentre, Cluster Randomised, Placebo-controlled, Open-label Pilot Study of Back Strain Monitor (BSM) With Feedback Compared With the BSM Without Feedback in Subjects With Moderate Lower Back Pain.
Who cites it
47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 109 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
- 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
- The effect of biofeedback interventions on pain, overall symptoms, quality of life and physiological parameters in patients with pelvic pain : A systematic review.Wiener klinische Wochenschrift · 2022Pooled it
- Efficacy of Mobile Health in Patients With Low Back Pain: Systematic Review and Meta-analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2021Pooled it
- Biofeedback Sensor vs. Physiotherapist Feedback During Core Stabilization Training in Patients with Chronic Nonspecific Low Back Pain.Applied psychophysiology and biofeedback · 2024Trial
- Effects of core stabilization exercise and strengthening exercise on proprioception, balance, muscle thickness and pain related outcomes in patients with subacute nonspecific low back pain: a randomized controlled trial.BMC musculoskeletal disorders · 2021Trial
- Cost-effectiveness of using a motion-sensor biofeedback treatment approach for the management of sub-acute or chronic low back pain: economic evaluation alongside a randomised trial.BMC musculoskeletal disorders · 2017Trial
- Trial
- Sensor-Based Movement Quality Assessment and Biofeedback for Rehabilitation Exercise: A Scoping Review with Implications for Home-Based and Remote Rehabilitation.Healthcare (Basel, Switzerland) · 2026Review
- Postural habits & awareness and its relationship to pain, functionality, cervical muscle endurance & position sense in temporomandibular joint disorders.BMC oral health · 2026Article
- Chronic low back pain is associated with a reduction in lumbar movement - a prospective cohort study.Scientific reports · 2025Article
- Psychologically Informed Physical Therapy Management of Chronic Musculoskeletal Pain in Culturally Diverse Populations: An Intervention Logic Model.The journal of pain · 2025Review
- Motion Tape Strain During Trunk Muscle Engagement in Young, Healthy Participants.Sensors (Basel, Switzerland) · 2024Article
- Wearable technology mediated biofeedback to modulate spine motor control: a scoping review.BMC musculoskeletal disorders · 2024Article
- Lumbo-Pelvic Rhythm Monitoring Using Wearable Technology with Sensory Biofeedback: A Systematic Review.Healthcare (Basel, Switzerland) · 2024Review
- Identifying Clinical Phenotypes in People Who Are Hispanic/Latino With Chronic Low Back Pain: Use of Sensor-Based Measures of Posture and Movement, Pain, and Psychological Factors.Physical therapy · 2024Article
- Interdisciplinary pain program participants with high catastrophizing scores improve function utilizing enriched therapeutic encounters and integrative health techniques: a retrospective study.Frontiers in psychology · 2024Article
- Article
- Engagement and Utilization of a Complete Remote Digital Care Program for Musculoskeletal Pain Management in Urban and Rural Areas Across the United States: Longitudinal Cohort Study.JMIR mHealth and uHealth · 2023Article
- Extraction of Lumbar Spine Motion Using a 3-IMU Wearable Cluster.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aims of this pilot trial were to (i) test the hypothesis that modifying patterns of painful lumbo-pelvic movement using motion-sensor biofeedback in people with low back pain would lead to reduced pain and activity limitation compared with guidelines-based care, and (ii) facilitate sample size calculations for a fully powered trial.
methodsA multicentre (8 clinics), cluster-randomised, placebo-controlled pilot trial compared two groups of patients seeking medical or physiotherapy primary care for sub-acute and chronic back pain. It was powered for longitudinal analysis, but not for adjusted single-time point comparisons. The intervention group (n = 58) received modification of movement patterns augmented by motion-sensor movement biofeedback (ViMove, dorsaVi.com) plus guidelines-based medical or physiotherapy care. The control group (n = 54) received a placebo (wearing the motion-sensors without biofeedback) plus guidelines-based medical or physiotherapy care. Primary outcomes were self-reported pain intensity (VAS) and activity limitation (Roland Morris Disability Questionnaire (RMDQ), Patient Specific Functional Scale (PSFS)), all on 0-100 scales. Both groups received 6-8 treatment sessions. Outcomes were measured seven times during 10-weeks of treatment and at 12, 26 and 52 week follow-up, with 17.0 % dropout. Patients were not informed of group allocation or the study hypothesis.
resultsAcross one-year, there were significant between-group differences favouring the intervention group [generalized linear model coefficient (95 % CI): group effect RMDQ -7.1 (95 % CI-12.6;-1.6), PSFS -10.3 (-16.6; -3.9), QVAS -7.7 (-13.0; -2.4); and group by time effect differences (per 100 days) RMDQ -3.5 (-5.2; -2.2), PSFS -4.7 (-7.0; -2.5), QVAS -4.8 (-6.1; -3.5)], all p < 0.001. Risk ratios between groups of probability of improving by >30 % at 12-months = RMDQ 2.4 (95 % CI 1.5; 4.1), PSFS 2.5 (1.5; 4.0), QVAS 3.3 (1.8; 5.9). The only device-related side-effects involved transient skin irritation from tape used to mount motion sensors.
conclusionsIndividualised movement retraining using motion-sensor biofeedback resulted in significant and sustained improvements in pain and activity limitation that persisted after treatment finished. This pilot trial also refined the procedures and sample size requirements for a fully powered RCT. This trial (Australian New Zealand Clinical Trials Registry NCT01572779) was equally funded by dorsaVi P/L and the Victorian State Government.
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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 OpenQuestion graph.