TY - JOUR
KW - Adult
KW - Aged
KW - Analgesics, Opioid/therapeutic use
KW - Comorbidity
KW - Female
KW - Humans
KW - Male
KW - Mass Screening/methods/statistics & numerical data
KW - Middle Aged
KW - Opioid-Related Disorders/diagnosis/epidemiology/prevention & control
KW - Pain Measurement/drug effects/methods/statistics & numerical data
KW - Pain/diagnosis/drug therapy/epidemiology
KW - Prevalence
KW - Prognosis
KW - Reproducibility of Results
KW - Risk Assessment/methods
KW - Risk Factors
KW - Sensitivity and Specificity
KW - Tennessee/epidemiology
KW - Young Adult
AU - T. Jones
AU - T. Moore
AU - J. L. Levy
AU - S. Daffron
AU - J. H. Browder
AU - L. Allen
AU - S. D. Passik
A1 - 
AB - OBJECTIVES: Risk assessment and stratification has become an important aspect of the prescribing of opioids to patients with chronic pain. There is little empirical data available on the sensitivity and specificity of commonly used risk assessment tools. This paper describes 2 studies that compare the prediction capabilities of various risk assessment tools. METHODS: The first study presents data on patients at a pain practice whose treatment with opioids was stopped due to their engaging in aberrant drug-related behavior. Patients were assessed with the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R), the Pain Medication Questionnaire, the Opioid Risk Tool, and a clinical interview. A second study compared the risk assessment measures, SOAPP-R, Pain Medication Questionnaire, Opioid Risk Tool, and a clinical interview. Data were gathered on whether patients had engaged in aberrant drug-related behavior at 6-month follow-up. RESULTS: Significant differences in the measures were found. Accuracy did not appear to be a function of the type of aberrant drug-related behavior that the patient engaged in for any of the measures. The clinical interview showed the best sensitivity of the 4 risk measures in predicting risk. The SOAPP-R showed the best sensitivity of the self-report measures. However, the SOAPP-R appears to overrate risk. DISCUSSION: Overall, these studies indicate that not all risk assessment tools are equal in their ability to accurately predict future aberrant drug-related behavior. It may be that written risk assessment tools that use more subtle items are better suited to certain patient populations.
BT - The Clinical journal of pain
C5 - Opioids & Substance Use; Measures
CP - 2
CY - United States
DO - 10.1097/AJP.0b013e318225da9e
IS - 2
JF - The Clinical journal of pain
N2 - OBJECTIVES: Risk assessment and stratification has become an important aspect of the prescribing of opioids to patients with chronic pain. There is little empirical data available on the sensitivity and specificity of commonly used risk assessment tools. This paper describes 2 studies that compare the prediction capabilities of various risk assessment tools. METHODS: The first study presents data on patients at a pain practice whose treatment with opioids was stopped due to their engaging in aberrant drug-related behavior. Patients were assessed with the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R), the Pain Medication Questionnaire, the Opioid Risk Tool, and a clinical interview. A second study compared the risk assessment measures, SOAPP-R, Pain Medication Questionnaire, Opioid Risk Tool, and a clinical interview. Data were gathered on whether patients had engaged in aberrant drug-related behavior at 6-month follow-up. RESULTS: Significant differences in the measures were found. Accuracy did not appear to be a function of the type of aberrant drug-related behavior that the patient engaged in for any of the measures. The clinical interview showed the best sensitivity of the 4 risk measures in predicting risk. The SOAPP-R showed the best sensitivity of the self-report measures. However, the SOAPP-R appears to overrate risk. DISCUSSION: Overall, these studies indicate that not all risk assessment tools are equal in their ability to accurately predict future aberrant drug-related behavior. It may be that written risk assessment tools that use more subtle items are better suited to certain patient populations.
PP - United States
PY - 2012
SN - 1536-5409; 0749-8047
SP - 93
EP - 100
EP - 
T1 - A comparison of various risk screening methods in predicting discharge from opioid treatment
T2 - The Clinical journal of pain
TI - A comparison of various risk screening methods in predicting discharge from opioid treatment
U1 - Opioids & Substance Use; Measures
U2 - 21750461
U3 - 10.1097/AJP.0b013e318225da9e
VL - 28
VO - 1536-5409; 0749-8047
Y1 - 2012
ER -