scholarly journals Development of a Screening Tool to Detect the Risk of Inappropriate Prescription Opioid Use in Patients with Chronic Pain

2004 ◽  
Vol 3;7 (7;3) ◽  
pp. 333-338
Author(s):  
Sairam L. Atluri
2018 ◽  
Vol 54 (3) ◽  
pp. 495-505 ◽  
Author(s):  
Lindsay M. S. Oberleitner ◽  
Mark A. Lumley ◽  
Emily R. Grekin ◽  
Kathryn M. Z. Smith ◽  
Amy M. Loree ◽  
...  

Pain Medicine ◽  
2014 ◽  
Vol 15 (11) ◽  
pp. 1902-1910 ◽  
Author(s):  
Benjamin J. Morasco ◽  
Daniel O'Hearn ◽  
Dennis C. Turk ◽  
Steven K. Dobscha

2011 ◽  
Vol 30 (3) ◽  
pp. 185-194 ◽  
Author(s):  
Joseph A. Boscarino ◽  
Margaret R. Rukstalis ◽  
Stuart N. Hoffman ◽  
John J. Han ◽  
Porat M. Erlich ◽  
...  

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Rachel A. Elphinston ◽  
Michele Sterling ◽  
Janni Leung ◽  
Paul D. Gray ◽  
Simone Scotti Requena ◽  
...  

Pain Medicine ◽  
2020 ◽  
Vol 21 (11) ◽  
pp. 2757-2764
Author(s):  
Louisa Picco ◽  
Melissa Middleton ◽  
Raimondo Bruno ◽  
Michala Kowalski ◽  
Suzanne Nielsen

Abstract Objective The OWLS is a screening tool for prescription opioid use disorder designed for use in primary care. This study aimed to confirm the optimal wording, scoring methods, and cutoff for the OWLS. Design and Setting Cross-sectional analysis of an online sample. Subjects Participants comprised those with chronic noncancer pain who regularly used prescription opioids. Methods Eligible participants self-completed an online version of the OWLS prescription opioid use disorder screening tool and the Composite International Diagnostic Interview Substance Abuse module. Receiver operating characteristics were calculated for three scoring methods for the OWLS, and these were compared with DSM-5 classification of any use disorder and moderate to severe opioid use disorder. Results Among the sample (N = 324), utilizing scoring method (i) (i.e., positive endorsement ≥ response option “a little bit”) and a cutoff of 3 increased the percentage of correctly classified participants, with concurrent increases in specificity and decreases in false discovery rate, and false positive rate. Conclusion OWLS utilizing scoring method (i) with a cutoff of 3 was shown to be the optimal version and scoring method of this tool. This represents a time-efficient, simple scoring method, allowing for quick and accurate screening for opioid use disorder to occur.


2019 ◽  
Vol 143 (2) ◽  
pp. AB223
Author(s):  
Roshni Naik ◽  
Grant Goodrich ◽  
Deepti Vellaichamy Manian ◽  
Anmol Goyal ◽  
Karina Rotella ◽  
...  

2015 ◽  
Vol 16 (4) ◽  
pp. S12
Author(s):  
A. Williams ◽  
L. Campbell ◽  
C. Wood ◽  
C. Still

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