TY  - BOOK
AU  - Sharma, Maneesh
TI  - Validation Study of a Predictive Algorithm to Evaluate Opioid Use Disorder in a Primary Care Setting
SN  - 2333-3928
PY  - 2017///
KW  - MedStar Good Samaritan Hospital
KW  - Journal Article
N2  - BACKGROUND: Opioid abuse in chronic pain patients is a major public health issue. Primary care providers are frequently the first to prescribe opioids to patients suffering from pain, yet do not always have the time or resources to adequately evaluate the risk of opioid use disorder (OUD); CONCLUSION: The algorithm correctly stratifies primary care patients into low-, moderate-, and high-risk categories to appropriately identify patients in need for additional guidance, monitoring, or treatment changes; METHODS AND RESULTS: In a validation study with 452 participants diagnosed with OUD and 1237 controls, the algorithm successfully categorized patients at high and moderate risk of OUD with 91.8% sensitivity. Regardless of changes in the prevalence of OUD, sensitivity of the algorithm remained >90%; PURPOSE: This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm ("profile") incorporating phenotypic and, more uniquely, genotypic risk factors
UR  - https://dx.doi.org/10.1177/2333392817717411
ER  -