Observational studyPain medicine (Malden, Mass.)2026
Predicting pain outcomes after digital care in chronic spinal pain: the roles of disability, work impairment, and occupation in a secondary analysis of a prospective clinical study.
Observational study in Pain medicine (Malden, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05417685 (Digital Care Programs for Musculoskeletal Health), which is not on this map. Not yet cited in PubMed.
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The trial behind it
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Digital Care Programs for Musculoskeletal Health: a Large-scale, Multi-disorder, Observational Study
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Authors and funding
5 authors.
Funding
Abstract
objectiveTo evaluate whether baseline disability, work impairment, and job occupation predicted post-pain levels of a digital care program (DCP) for chronic spinal pain.
designAd hoc analysis of a real-world clinical registry of patients undergoing a DCP.
settingDCP delivered remotely across the United States. SUBJECTS: Adults with chronic spinal pain (N = 13 330) enrolled in a DCP through employer-sponsored health plans.
methodsPredictors included baseline disability (Oswestry Disability Index or Neck Disability Index), work impairment (Work Productivity and Activity Impairment questionnaire-WPAI), and occupation (job type group). Primary outcome was the last pain score reported during the intervention (11-point Numeric Pain Rating Scale). Structural equation modeling was used, adjusted for demographic and clinical covariates. Moderation analysis assessed whether effects varied by pain location (neck vs low back).
resultsBaseline disability and occupation significantly predicted post-treatment pain. Greater disability was associated with higher last pain scores (β = 0.30, SE 0.02, P<.001). Business-related occupations were non-significantly different from trade, transportation, and utilities, but showed higher last pain score than those in goods-producing (β=-0.18, SE 0.07, P=.015) and healthcare/education (β=-0.14, SE 0.04, P=.001) jobs. WPAI Overall and WPAI Activity were not significant predictors after adjustment. Predictor effects were consistent across spinal locations. Final model explained 21.3% of variance.
conclusionsBaseline disability and occupation were predictors of outcomes post-digital rehabilitation for chronic spinal pain, while work impairment was non-significant. Integrating these factors into routine screening may enhance predictive accuracy, patient communication, and facilitate personalized care pathways. These results encourage confirmatory studies to reinforce these findings.
trial registrationClinicalTrials.gov, NCT05417685. Registered on June 14, 2022; https://clinicaltrials.gov/study/NCT05417685.
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