Literature DB >> 35110821

Psychometric Properties of the OSPRO-YF Screening Tool in Patients with Shoulder Pathology.

Helen Razmjou1,2,3, Veronica Palinkas1,3, Susan Robarts1,2,3, Deborah Kennedy1,3,4.   

Abstract

Purpose: The Optimal Screening for Prediction of Referral and Outcome Yellow Flag (OSPRO-YF) is a screening tool that incorporates many important psychosocial domains into one questionnaire to reduce the burden of completing multiple questionnaires. The objectives of this study were to examine the reliability and validity of the 10-item version of the OSPRO-YF with patients with shoulder conditions. Method: The study group consisted of injured workers with an active compensation claim for a shoulder injury. The control group consisted of patients with a complaint of shoulder pain but without a work-related shoulder injury. We examined reliability (internal consistency, test-retest) and validity (factorial, convergent, known groups). The Hospital Anxiety and Depression Scale; the Quick Disabilities of Arm, Shoulder and Hand; and the short Örebro Musculoskeletal Pain Screening Questionnaire were used for comparison.
Results: Eighty patients had an active compensation claim, and 160 were in the control group. The intra-class correlation coefficient values for two observations of the domain scores varied from 0.91 to 0.94. The test-retest reliability of the dichotomous constructs was moderate to perfect for 8 of 11 constructs. The 10-item OSPRO-YF questionnaire had three distinct domains, as conceptualized by the developers: mood, fear avoidance, and positive affect-coping. The Cronbach's a coefficients for these domains were 0.88, 0.94, and 0.94, respectively. The associations between the psychological constructs and domains and the similar theoretically derived scales were moderate to high and in the expected direction. Of the 11 constructs of the OSPRO-YF, 10 differentiated between patients with and without a work-related injury (p-values ranging from 0.028 to < 0.001). Conclusions: The 10-item OSPRO-YF reduces the burden of using multiple questionnaires and has acceptable test-retest and internal consistency reliability and factorial, convergent, and known-groups validity. © Canadian Physiotherapy Association.

Entities:  

Keywords:  psychology; reproducibility of results; workers’ compensation

Year:  2021        PMID: 35110821      PMCID: PMC8774952          DOI: 10.3138/ptc-2019-0046

Source DB:  PubMed          Journal:  Physiother Can        ISSN: 0300-0508            Impact factor:   1.037


  53 in total

1.  The shortened Örebro Musculoskeletal Screening Questionnaire: evaluation in a work-injured population.

Authors:  Charles Philip Gabel; Brendan Burkett; Markus Melloh
Journal:  Man Ther       Date:  2013-02-14

2.  Psychosocial factors predicted nonrecovery in both specific and nonspecific diagnoses at arm, neck, and shoulder.

Authors:  Ellen Keijsers; Anita Feleus; Harald S Miedema; Bart W Koes; Sita M A Bierma-Zeinstra
Journal:  J Clin Epidemiol       Date:  2010-12       Impact factor: 6.437

Review 3.  Early identification and management of psychological risk factors ("yellow flags") in patients with low back pain: a reappraisal.

Authors:  Michael K Nicholas; Steven J Linton; Paul J Watson; Chris J Main
Journal:  Phys Ther       Date:  2011-03-30

4.  Prospective evaluation of postoperative compliance and outcomes after rotator cuff repair in patients with and without workers' compensation claims.

Authors:  Derek J Cuff; Derek R Pupello
Journal:  J Shoulder Elbow Surg       Date:  2012-05-29       Impact factor: 3.019

5.  Early patient screening and intervention to address individual-level occupational factors ("blue flags") in back disability.

Authors:  William S Shaw; Danielle A van der Windt; Chris J Main; Patrick Loisel; Steven J Linton
Journal:  J Occup Rehabil       Date:  2008-12-12

6.  Development of a Yellow Flag Assessment Tool for Orthopaedic Physical Therapists: Results From the Optimal Screening for Prediction of Referral and Outcome (OSPRO) Cohort.

Authors:  Trevor A Lentz; Jason M Beneciuk; Joel E Bialosky; Giorgio Zeppieri; Yunfeng Dai; Samuel S Wu; Steven Z George
Journal:  J Orthop Sports Phys Ther       Date:  2016-03-21       Impact factor: 4.751

7.  Shoulder pain and heavy manual labor.

Authors:  P Herberts; R Kadefors; C Högfors; G Sigholm
Journal:  Clin Orthop Relat Res       Date:  1984-12       Impact factor: 4.176

8.  Yellow flag scores in a compensable New Zealand cohort suffering acute low back pain.

Authors:  Karen Grimmer-Somers; Mathew Prior; Jim Robertson
Journal:  J Pain Res       Date:  2008-12-01       Impact factor: 3.133

9.  Pain, Work-related Characteristics, and Psychosocial Factors among Computer Workers at a University Center.

Authors:  Míriam Raquel Meira Mainenti; Lilian Ramiro Felicio; Erika de Carvalho Rodrigues; Dalila Terrinha Ribeiro da Silva; Patrícia Vigário Dos Santos
Journal:  J Phys Ther Sci       Date:  2014-04-23

10.  Prediction of healthcare utilization following an episode of physical therapy for musculoskeletal pain.

Authors:  Trevor A Lentz; Jason M Beneciuk; Steven Z George
Journal:  BMC Health Serv Res       Date:  2018-08-20       Impact factor: 2.655

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