4.5 Article

Optimal Screening for Prediction of Referral and Outcome (OSPRO) for Musculoskeletal Pain Conditions: Results From the Validation Cohort

Journal

JOURNAL OF ORTHOPAEDIC & SPORTS PHYSICAL THERAPY
Volume 48, Issue 6, Pages 460-475

Publisher

J O S P T
DOI: 10.2519/jospt.2018.7811

Keywords

OSPRO; outcomes; prognosis; red flag; yellow flag

Funding

  1. Orthopaedic Section, American Physical Therapy Association
  2. Brooks Rehabilitation
  3. National Institutes of Health [K12-HD055929]
  4. Foundation for Physical Therapy with a Promotion of Doctoral Studies I and II Award

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STUDY DESIGN: Observational, prospective cohort, BACKGROUND: 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. OBJECTIVES: 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. METHODS: 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). RESULTS: 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. CONCLUSION: 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.

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