Longitudinal Monitoring of Pain Associated Distress with the Optimal Screening for Prediction of Referral and Outcome Yellow Flag (OSPRO-YF) Tool: Predicting Reduction Pain Intensity and Disability.

George, Steven Z

Li, Cai

Luo, Sheng

Horn, Maggie E

Lentz, Trevor A

2020-08-01T15:00:29Z

2020-08-01T15:00:29Z

2020-06-26

2020-08-01T15:00:28Z

OBJECTIVE:To investigate the Optimal Screening for Prediction of Referral and Outcome Yellow Flag (OSPRO-YF) tool for longitudinal monitoring of pain associated distress with the goal of improving prediction of 50% reduction in pain intensity and disability outcomes. DESIGN:Cohort study with 12-month follow-up after initial care episode SETTING: Ambulatory care, participants seeking care from out-patient physical therapy clinics PARTICIPANTS: Participants were seeking care for primary complaint of neck, low back, knee or shoulder pain. This secondary analysis included 440 subjects (62.5% female; mean age 45.1± 17) at baseline with n=279 (63.4%) providing follow-up data at 12 months. INTERVENTIONS:Not applicable MAIN OUTCOME MEASURES: 50% reduction (baseline to 12-month follow-up) in pain intensity and self-reported disability RESULTS: Trends for prediction accuracy were similar for all versions of the OSPRO-YF. For predicting 50% reduction in pain intensity, model fit met the statistical criterion for improvement (i.e., p < 0.05) with each additional time point added from baseline. Model discrimination improved statistically when the 6-month to 12-month change was added to the model (Area Under the Curve = 0.849, p = 0.003). For predicting 50% reduction in disability, there was no evidence of improvement in model fit or discrimination from baseline with the addition of 4-week, 6-month, or 12-month changes (p's > 0.05). CONCLUSIONS:These results suggested that longitudinal monitoring improved prediction accuracy for reduction in pain intensity, but not for disability reduction. Differences in OSPRO-YF item sets (10 vs. 17 items) or scoring methods (simple summary score vs. yellow flag count) did not impact predictive accuracy for pain intensity, providing flexibility for implementing this tool in practice settings.

S0003-9993(20)30387-7

0003-9993

1532-821X

https://hdl.handle.net/10161/21215

eng

Elsevier BV

Archives of physical medicine and rehabilitation

10.1016/j.apmr.2020.05.025

chronic pain

musculoskeletal

non-pharmacological

prognosis

psychological

Longitudinal Monitoring of Pain Associated Distress with the Optimal Screening for Prediction of Referral and Outcome Yellow Flag (OSPRO-YF) Tool: Predicting Reduction Pain Intensity and Disability.

Journal article

George, Steven Z|0000-0003-4988-9421

Luo, Sheng|0000-0003-4214-5809

Horn, Maggie E|0000-0002-3963-7389

Lentz, Trevor A|0000-0002-4286-0733

School of Medicine

Duke Clinical Research Institute

Orthopaedics

Duke

Institutes and Centers

Clinical Science Departments

Biostatistics & Bioinformatics

Basic Science Departments

Published