The effectiveness of clinic versus home-based, artificial intelligence-guided therapy in patients with low back pain: Non-randomized clinical trial

Low back pain is a common cause of disability in the US with increasing financial burden on healthcare. A variety of treatment options exist to combat LBP. Home-based therapy is a low-cost option, but there is a lack of data on how it compares to therapy in clinical settings. It was hypothesized tha...

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Veröffentlicht in:Clinical biomechanics (Bristol) 2023-10, Vol.109, p.106069-106069, Article 106069
Hauptverfasser: Alzouhayli, Kenan, Schilaty, Nathan D., Nagai, Takashi, Rigamonti, Luca, McPherson, April L., Holmes, Benjamin, Bates, Nathaniel A.
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Sprache:eng
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Zusammenfassung:Low back pain is a common cause of disability in the US with increasing financial burden on healthcare. A variety of treatment options exist to combat LBP. Home-based therapy is a low-cost option, but there is a lack of data on how it compares to therapy in clinical settings. It was hypothesized that when using artificial intelligence-guided therapy, supervised in-clinic interventions would have a greater influence on patient-reported outcomes and strength than unsupervised, home interventions. This is a non-randomized controlled trial of 51 patients (28 female, 23 male). The investigation compared an 8-week, core-focused exercise intervention in a Clinic (supervised) versus Home (unsupervised) setting. Outcome variables included measures of strength, performance, and patient-reported outcomes related to function. Generalized linear regression (p 
ISSN:0268-0033
1879-1271
DOI:10.1016/j.clinbiomech.2023.106069