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Telerehabilitation ranked highest for pain intensity at 12 weeks with a SUCRA of 87.2%Remote therapy shows promise for chronic low back pain

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Key Takeaway
Consider telerehabilitation for long-term pain relief and IPR for rapid reduction in kinesiophobia and early disability.

This Bayesian network meta-analysis evaluated the comparative efficacy of three distinct rehabilitation modalities—telerehabilitation (TLR), telerehabilitation combined with artificial intelligence (TLRH-AI), and in-person rehabilitation (IPR)—against usual care (UC) for patients suffering from chronic nonspecific low back pain. The analysis included a total population of 1,854 patients to determine the most effective intervention across various dimensions of pain management and functional recovery.

The primary outcome measured was pain intensity. The results indicated that IPR provided the greatest benefit at the 4-week mark (noted as low certainty). However, telerehabilitation ranked highest for pain intensity at 12 weeks with a SUCRA of 87.2% (moderate certainty). Regarding secondary outcomes, IPR was identified as the most effective intervention for reducing kinesiophobia (SUCRA 99%) and showed superior results for Oswestry Disability Index-based disability at both 4 weeks (SUCRA 98.2%) and 12 weeks (SUCRA 86.7%). For the Roland-Morris Disability Questionnaire, IPR was among the more effective interventions with a SUCRA of 67.3%.

In terms of health-related quality of life (HRQoL), telerehabilitation significantly improved the physical component summary score, showing a mean difference of 6.05 (95% CrI 2.89 to 9.22). In contrast, IPR showed only a nonsignificant trend toward an improved mental component summary score with a mean difference of 2.79 (95% CrI -1.61 to 7.17). The evidence for the AI-integrated telerehabilitation (TLRH-AI) was described as limited and descriptive, suggesting only possible short-term benefits.

Safety data, including adverse events, serious adverse events, and discontinuation rates, were not reported in the study. Comparison with prior literature suggests that while IPR may be vital for supervised functional recovery and psychological support (addressing kinesiophobia), telerehabilitation offers a potentially scalable option for long-term pain relief and physical function improvement.

Several methodological limitations were identified in this analysis. The evidence for IPR pain outcomes at 4 weeks was low certainty, and the evidence for IPR disability outcomes was also low. There was local inconsistency regarding the 4-week Oswestry Disability Index comparison between UC and IPR. Furthermore, the data for TLRH-AI is of low to very low certainty.

Clinically, these results suggest that telerehabilitation may be a viable alternative for patients seeking long-term management of chronic low back pain, particularly for improving physical quality of life scores. In-person rehabilitation remains a strong choice for rapid reduction in kinesiophobia and early pain management. However, clinicians should exercise caution when recommending AI-integrated telerehabilitation (TLRH-AI) as the evidence is currently insufficient to guide clinical decision-making. Questions remain regarding the long-term durability of improvements in mental health scores through IPR and the specific mechanisms by which TLR outperforms other modalities at 12 weeks.

How this fits prior evidence

How this fits prior evidence This analysis addresses a gap in understanding remote versus in-person care for chronic low back pain. While previous evidence noted that lumbosacral orthoses may improve pain and disability, and yoga may improve physical function over exercise (though with limited evidence), this study specifically evaluates the role of telerehabilitation and AI integration. It provides specific data on how digital interventions compare to traditional in-person methods for long-term outcomes.

Living with chronic low back pain is more than just a physical ache. It can make daily tasks difficult, limit your mobility, and affect your overall quality of life. For many people, getting to a clinic for regular physical therapy isn't always easy due to transportation issues or busy schedules. This makes finding effective ways to manage pain from home a very important topic.

Researchers looked at how different types of rehabilitation help people with chronic, non-specific low back pain. They compared three main methods: in-person rehabilitation (where you see a therapist in person), telerehabilitation (where you receive care remotely via technology), and a newer version that uses artificial intelligence to assist the remote process. The study looked at data from 1,854 patients to see which method worked best for reducing pain, improving physical ability, and helping people feel less afraid of moving.

The results showed that both in-person and remote options had benefits, but they peaked at different times. In-person care was most effective at reducing pain after just four weeks. However, telerehabilitation—the remote option—actually ranked highest for pain relief at the 12-week mark. When it came to physical function and reducing the fear of movement, in-person therapy showed strong results. The study also found that remote rehabilitation significantly improved the physical side of a patient's quality of life.

It is important to keep some things in mind before making big changes to your care. While the results for remote therapy are encouraging, the evidence for the version using artificial intelligence was still very limited and descriptive. This means we don't have enough data yet to know if AI-assisted programs are a reliable choice for everyone. Additionally, while in-person therapy showed great results for many factors, some of those findings were based on lower-certainty evidence.

What does this mean for you right now? If you struggle with back pain, both in-person and remote options can be effective tools. In-person care may offer a boost early on, while remote programs could be a great way to get consistent, long-term support if you cannot visit a clinic regularly. Because the AI-assisted technology is still being studied, it is best to talk to your doctor about which specific type of rehabilitation fits your personal needs and goals.

What this means for you:
Remote therapy can provide effective long-term pain relief for chronic back pain, similar to in-person care.

Study Details

Study typeSystematic review
Sample sizen = 1,854
EvidenceLevel 1
Follow-up0.9 mo
PublishedJul 2026
View Original Abstract ↓
BACKGROUND: Guided exercise is central to rehabilitation for chronic nonspecific low back pain. Telerehabilitation enables remote delivery of guided exercise, but its effectiveness vs other rehabilitation modalities remains uncertain. OBJECTIVE: This review systematically assessed the comparative efficacy of telerehabilitation, in-person rehabilitation (IPR), and usual care (UC) for improving pain, disability, kinesiophobia, and health-related quality of life in patients with chronic nonspecific low back pain. Telerehabilitation combined with artificial intelligence (TLRH-AI) was evaluated as an exploratory intervention because available evidence was limited. METHODS: Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, we searched randomized controlled trials in PubMed, Cochrane Library, Web of Science, and Embase from inception to April 30, 2026. A Bayesian network meta-analysis was conducted using R (version 4.4.1). Interventions were ranked using surface under the cumulative ranking curve (SUCRA) values. Evidence certainty was assessed using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework. Findings were interpreted considering heterogeneity, risk of bias, inconsistency, and estimated prediction intervals. RESULTS: Among 2491 records, 20 randomized controlled trials involving 1854 participants were included. For pain intensity, IPR showed the greatest benefit at 4 weeks (low-certainty evidence), telerehabilitation at 8 weeks (moderate-certainty evidence), and telerehabilitation ranked highest at 12 weeks (SUCRA 87.2%; moderate-certainty evidence). For the Oswestry Disability Index-based disability, IPR ranked highest at 4 weeks (SUCRA 98.2%; low-certainty evidence) and 12 weeks (SUCRA 86.7%; low-certainty evidence), whereas telerehabilitation ranked highest at 8 weeks (SUCRA 90.4%; high-certainty evidence). For the Roland-Morris Disability Questionnaire-based disability, IPR was among the more effective interventions (SUCRA 67.3%; low-certainty evidence). For kinesiophobia, IPR ranked highest (SUCRA 99%; low-certainty evidence). For health-related quality of life, telerehabilitation significantly improved the physical component summary score (mean difference 6.05, 95% credible interval [CrI] 2.89-9.22; moderate-certainty evidence), whereas IPR showed a nonsignificant trend toward an improved mental component summary score (mean difference 2.79, 95% CrI -1.61 to 7.17; low-certainty evidence). Evidence for TLRH-AI remained limited and descriptive, suggesting possible short-term benefits with low to very low certainty. No significant small-study effects or global inconsistency were detected, although potentially important local inconsistency was observed in the 4-week Oswestry Disability Index comparison between UC and IPR. CONCLUSIONS: This review uniquely compared telerehabilitation, IPR, UC, and exploratory TLRH-AI within a Bayesian network meta-analysis. Unlike previous reviews focused mainly on telerehabilitation vs conventional care, it provides a comparative hierarchy across delivery models, follow-up windows, and outcomes while incorporating evidence certainty and heterogeneity. The findings support individualized rehabilitation selection. In practice, telerehabilitation may offer a scalable option for longer-term pain relief and physical function improvement, whereas IPR may remain important for supervised functional recovery and psychological support. TLRH-AI remains exploratory and should not guide clinical decision-making until adequately powered trials are available. TRIAL REGISTRATION: PROSPERO CRD420251146712; https://www.crd.york.ac.uk/PROSPERO/view/CRD420251146712.
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