ArticleThe journal of pain
Psychometric Evaluation of the Optimal Screening for Prediction of Referral and Outcome Yellow Flag (OSPRO-YF) Tool: Factor Structure, Reliability, and Validity.
Article in The journal of pain. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 45 citations in OpenAlex.
- Specific and shared mechanisms mediating pain intensity and functional outcomes in chronic neck pain.Pain management · 2026Trial
- The influence of a MOBile-based video Instruction for Low back pain (MOBIL) on initial care decisions made by primary care providers: a randomized controlled trial.BMC family practice · 2021Trial
- Pain Resilience Therapy vs. Pain Neuroscience Education for Adults with Chronic Low Back Pain: Secondary Analysis of Data from a Randomized Controlled Trial of Risk and Resilience Factors.Healthcare (Basel, Switzerland) · 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
- Progressive Achilles Loading via Clinician e-Support (PACE): Protocol for a Dual-Site Randomized Controlled Trial.JMIR research protocols · 2026Article
- Changes in Pain-Related Psychological Distress After Surgery in Patients with Musculoskeletal Injury.International journal of environmental research and public health · 2025Article
- Psychological profiles of patients reporting with musculoskeletal shoulder or elbow pain.JSES international · 2025Article
- Transition from acute to chronic low back pain in a community-based cohort.The journal of pain · 2025Article
- 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
- Correlation between the optimal screening for prediction of referral and outcome yellow flag tool and patient-reported legacy outcome measures in patients undergoing shoulder surgery.JSES international · 2024Article
- Specific and shared mechanisms associated with treatment for chronic neck pain: study protocol for the SS-MECH trial.The Journal of manual & manipulative therapy · 2024Article
- Characterizing Acute Low Back Pain in a Community-Based Cohort: Results from a Feasibility Cohort Study.Journal of pain research · 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
- Patient-reported outcome measures in physical therapy practice for neck pain: an overview of reviews.Journal of patient-reported outcomes · 2023Review
- Risk Stratification in a Tertiary Care Spine Centre: Comparison Between STarTBack and OSPRO-YF Screening Tools.Physiotherapy Canada. Physiotherapie Canada · 2023Article
- Association Between Preoperative Multidimensional Psychological Distress and Physical Function After Surgery for Sports-Related Injury.Orthopaedic journal of sports medicine · 2023Article
- Psychometric evaluation of the Decision Support Tool for Functional Independence in community-dwelling older people.Journal of population ageing · 2022Article
- Injury-related psychological distress and the association with perceived running ability in injured runners.Physical therapy in sport : official journal of the Association of Chartered Physiotherapists in Sports Medicine · 2022Article
- Elevated Kinesiophobia Is Associated With Reduced Recovery From Lower Extremity Musculoskeletal Injuries in Military and Civilian Cohorts.Physical therapy · 2022Article
- Presentation and physical therapy management of upper cervical instability in patients with symptomatic generalized joint hypermobility: International expert consensus recommendations.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Psychological characteristics consistently predict clinical outcomes for musculoskeletal pain conditions. The Optimal Screening for Prediction of Referral and Outcome Yellow Flag (OSPRO-YF) tool assesses negative mood, fear-avoidance, and positive affect/coping. Psychometric testing of the tool is needed to guide clinical use. The purpose of this secondary analysis was to determine the OSPRO-YF factor structure (17- and 10-item versions) and test factor reliability and concurrent validity. Data from 2 musculoskeletal pain cohorts (n1 = 428; n2 = 440) were used. An exploratory factor analysis (EFA) identified the factor structure in the first cohort; a confirmatory factor analysis (CFA) validated the factor structure in the second cohort. EFA yielded 4 factors for the 17-item version (catastrophizing, positive coping, negative mood, fear-avoidance) and 3 factors for the 10-item version (negative coping, negative mood positive affect/coping). CFA indicated good fit for the10-item and 17-item models. Factors from both versions demonstrated moderate to good test-retest reliability. Regression results revealed that factors from both versions contributed significantly to variance in pain intensity, disability, and quality of life. Results indicate the OSPRO-YF is a reliable and valid multidimensional psychological assessment tool for individuals with musculoskeletal pain. Future studies are needed to establish the OSPRO-YF as a prognostic and treatment monitoring tool. PERSPECTIVE: This article presents the psychometric properties of the OSPRO-YF tool. Findings indicate the OSPRO-YF is a reliable and valid multidimensional psychological assessment tool for individuals with musculoskeletal pain. Implementation of the OSPRO-YF tool may better guide clinical decision making and may lead to improved musculoskeletal pain management strategies.
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Registered trials
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.