Trial reportJournal of medical Internet research2015
Mobile-Web app to self-manage low back pain: randomized controlled trial.
Trial report in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01950091 (Randomized Controlled Trial of Internet App to Self-Manage Occasional Low Back Pain), which is not on this map. Cited by 92 papers, 16 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.
Randomized Controlled Trial of Internet App to Self-Manage Occasional Low Back Pain
Who cites it
92 citing papers in PubMed, 16 syntheses or guidelines pooled it, 209 citations in OpenAlex.
- Effects of Digital Health Interventions in Chronic Musculoskeletal Pain: Systematic Review and Bayesian Network Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- 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
- Effectiveness of Self-Help Interventions to Reduce Work Disability: A Rapid Mixed Methods Systematic Review.Journal of occupational rehabilitation · 2026Pooled it
- Tailoring for Health Literacy in the Design and Development of eHealth Interventions: Systematic Review.JMIR human factors · 2025Pooled it
- Models of care for managing non-specific low back pain.The Cochrane database of systematic reviews · 2025Pooled it
- Evaluation of mobile health applications using the RE-AIM model: systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- mHealth Intervention for Improving Pain, Quality of Life, and Functional Disability in Patients With Chronic Pain: Systematic Review.JMIR mHealth and uHealth · 2023Pooled it
- Digital self-care in the management of spine musculoskeletal disorders: A systematic review and meta-analysis.Revista latino-americana de enfermagem · 2023Pooled it
- Digital Health Interventions for Musculoskeletal Pain Conditions: Systematic Review and Meta-analysis of Randomized Controlled Trials.Journal of medical Internet research · 2022Pooled it
- Patient education materials for non-specific low back pain and sciatica: A systematic review and meta-analysis.PloS one · 2022Pooled it
- The Effectiveness of Digital Health Interventions in the Management of Musculoskeletal Conditions: Systematic Literature Review.Journal of medical Internet research · 2020Pooled it
- New Technologies to Improve Pain, Anxiety and Depression in Children and Adolescents with Cancer: A Systematic Review.International journal of environmental research and public health · 2020Pooled it
- The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review.JMIR mHealth and uHealth · 2019Pooled it
- Web-Based Patient Education in Orthopedics: Systematic Review.Journal of medical Internet research · 2018Pooled it
- Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis.Translational behavioral medicine · 2017Pooled it
- Digital Support Interventions for the Self-Management of Low Back Pain: A Systematic Review.Journal of medical Internet research · 2017Pooled it
- Effect of a smartphone self-management digital support system for low-back pain (selfBACK) among workers with high physical work demands - secondary analysis of a randomized controlled trial.Scandinavian journal of work, environment & health · 2024Trial
- 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 · 2024Trial
- Evaluation of the Effect of Patient Education and Strengthening Exercise Therapy Using a Mobile Messaging App on Work Productivity in Japanese Patients With Chronic Low Back Pain: Open-Label, Randomized, Parallel-Group Trial.JMIR mHealth and uHealth · 2022Trial
- Effects of an Artificial Intelligence-Assisted Health Program on Workers With Neck/Shoulder Pain/Stiffness and Low Back Pain: Randomized Controlled Trial.JMIR mHealth and uHealth · 2021Trial
32 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundNonspecific low back pain (NLBP) is the diagnosis for individuals with back pain that has no underlying medical cause (eg, tumor, infection, fracture, herniated disc, spinal stenosis). The American College of Physicians (ACP) and American Pain Society (APS) recommend multidisciplinary treatments for NLBP that lasts more than 4 weeks. This approach, however, is impractical for many physicians to implement, and relatively few providers offer NLBP treatment that meets the joint ACP-APS guidelines.
objectiveThis study evaluated the efficacy of a mobile-Web intervention called "FitBack" to help users implement self-tailored strategies to manage and prevent NLBP occurrences.
methodsA total of 597 adults were recruited, screened, consented, and assessed online at baseline, at 2 months (T2), and at 4 months (T3). After baseline assessments, participants were randomized into three groups: FitBack intervention, alternative care group that received 8 emails urging participants to link to six Internet resources for NLBP, and control group. The FitBack group also received weekly email reminder prompts for 8 weeks plus emails to do assessments. The control group was only contacted to do assessments.
resultsUsers of the FitBack program showed greater improvement compared to the control group in every comparison of the critical physical, behavioral, and worksite outcome measures at 4-month follow-up. In addition, users of the FitBack program performed better than the alternative care group on current back pain, behavioral, and worksite outcomes at 4-month follow-up. For example, subjects in the control group were 1.7 times more likely to report current back pain than subjects in the FitBack group; subjects in the alternative care group were 1.6 times more likely to report current back pain at 4-month follow-up. Further, the users of the FitBack program showed greater improvement compared to both the control and alternative care groups at 4-month follow-up on patient activation, constructs of the Theory of Planned Behavior, and attitudes toward pain.
conclusionsThis research demonstrated that a theoretically based stand-alone mobile-Web intervention that tailors content to users' preferences and interests can be an effective tool in self-management of low back pain. When viewed from the RE-AIM perspective (ie, reach, efficacy/effectiveness, adoption, implementation fidelity, and maintenance), this study supports the notion that there is considerable value in this type of intervention as a potentially cost-effective tool that can reach large numbers of people. The results are promising considering that the FitBack intervention was neither supported by professional caregivers nor integrated within a health promotion campaign, which might have provided additional support for participants. Still, more research is needed on how self-guided mobile-Web interventions will be used over time and to understand factors associated with continuing user engagement.
trial registrationClinicaltrials.gov NCT01950091; http://clinicaltrials.gov/ct2/show/NCT01950091 (Archived by WebCite at http://www.webcitation.org/6TwZucX77).
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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.