{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T17:41:50Z","timestamp":1790790110245,"version":"4.1.0"},"reference-count":57,"publisher":"Journal of Orthopaedic & Sports Physical Therapy (JOSPT)","issue":"6","content-domain":{"domain":["www.jospt.org"],"crossmark-restriction":true},"short-container-title":["Journal of Orthopaedic &amp; Sports Physical Therapy"],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:sec><jats:title>Study Design<\/jats:title><jats:p> Observational, prospective cohort. <\/jats:p><\/jats:sec><jats:sec><jats:title>Background<\/jats:title><jats:p> Musculoskeletal pain is a common reason to seek health care, and earlier nonpharmacological treatment and enhancement of personalized care options are 2 high-priority areas. Validating concise assessment tools is an important step toward establishing better care pathways. <\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p> To determine the predictive validity of Optimal Screening for Prediction of Referral and Outcome (OSPRO) tools for individuals with neck, low back, shoulder, or knee pain. <\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p> A convenience sample (n = 440) was gathered by Orthopaedic Physical Therapy-Investigator Network clinics (n = 9). Participants completed demographic, clinical, and comorbidity questionnaires and the OSPRO tools, and were followed for 12-month outcomes in pain intensity, region-specific disability, quality of life, and comorbidity change. Analyses predicted these 12-month outcomes with models that included the OSPRO review-of-systems (OSPRO-ROS) and yellow flag (OSPRO-YF) tools and planned covariates (accounting for comorbidities and established demographic and clinical factors). <\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p> The 10-item OSPRO-YF tool (baseline and 4-week change score) consistently added to predictive models for 12-month pain intensity, region-specific disability, and quality of life. The 10-item OSPRO-ROS tool added to a predictive model for quality of life (mental summary score), and 13 additional items of the OSPRO-ROS+ tool added to prediction of 12-month comorbidity change. Other consistent predictors included age, race, income, previous episode of pain in same region, comorbidity number, and baseline measure for the outcome of interest. <\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p> The OSPRO-ROS and OSPRO-YF tools statistically improved prediction of multiple 12-month outcomes. The additional variance explained was small, and future research is necessary to determine whether these tools can be used as measurement adjuncts to improve management of musculoskeletal pain. J Orthop Sports Phys Ther 2018;48(6):460\u2013475. 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