Observational studyThe Journal of orthopaedic and sports physical therapy2018
Optimal Screening for Prediction of Referral and Outcome (OSPRO) for Musculoskeletal Pain Conditions: Results From the Validation Cohort.
Observational study in The Journal of orthopaedic and sports physical therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Artificial Intelligence in Physical Therapy: A Narrative Review of Artificial Intelligence Applications Across the Patient and Client Management Model.Health science reports · 2026Article
- Optimal screening for prediction of referral and outcome score is a strong predictor of shoulder pain and function in glenohumeral osteoarthritis and rotator cuff arthropathy.JSES international · 2026Article
- Article
- Aortic dissection disguised as musculoskeletal condition: a case report and review of literature.BMC musculoskeletal disorders · 2025Review
- Artificial Intelligence in Physical Therapy Education: Evaluating Clinical Reasoning Performance in Musculoskeletal Care Using ChatGPT.Musculoskeletal care · 2025Article
- Article
- Changes in Pain-Related Psychological Distress After Surgery in Patients with Musculoskeletal Injury.International journal of environmental research and public health · 2025Article
- Transition from acute to chronic low back pain in a community-based cohort.The journal of pain · 2025Article
- Elevated body mass index and obesity are associated with pain-associated psychological distress in patients with hip pain.Archives of orthopaedic and trauma surgery · 2024Article
- Referral, enrollment, and health care use in a comprehensive patient-centered management program for osteoarthritis of the hip and knee.Osteoarthritis and cartilage open · 2024Article
- Interrater reliability of the modified prone instability test for lumbar segmental instability in individuals with mechanical low back pain.The Journal of manual & manipulative therapy · 2024Article
- Does psychological distress predict risk of orthopaedic surgery and postoperative opioid prescribing in patients with hip pain? A retrospective study.BMC musculoskeletal disorders · 2024Article
- Pain-Associated Psychological Distress Is of High Prevalence in Patients With Hip Pain: Characterizing Psychological Distress and Phenotypes.Arthroscopy, sports medicine, and rehabilitation · 2024Article
- Characterizing Acute Low Back Pain in a Community-Based Cohort: Results from a Feasibility Cohort Study.Journal of pain research · 2024Article
- Presentation and physical therapy management using a neuroplasticity approach for patients with hypermobility-related upper cervical instability: a brief report.Frontiers in neurology · 2024Article
- Acute Intermittent Hypoxia Did Not Alter Pain Sensitivity or Pain Intensity Ratings for Individuals with Chronic Low Back Pain: A Pilot Study.Journal of pain research · 2024Article
- Guideline adherent screening and referral: do third year Doctor of Physical Therapy students identify red and yellow flags within descriptive patient cases? a United States based survey study.The Journal of manual & manipulative therapy · 2023Article
- Pain associated psychological distress is more strongly associated with shoulder pain and function than tear severity in patients undergoing rotator cuff repair.JSES international · 2023Article
- Risk Stratification in a Tertiary Care Spine Centre: Comparison Between STarTBack and OSPRO-YF Screening Tools.Physiotherapy Canada. Physiotherapie Canada · 2023Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
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. J Orthop Sports Phys Ther 2018;48(6):460-475. Epub 7 Apr 2018. doi:10.2519/jospt.2018.7811.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.