TY - JOUR
PY - 2021//
TI - Validation and threshold identification of a prescription drug monitoring program clinical opioid risk metric with the WHO alcohol, smoking, and substance involvement screening test
JO - Drug and alcohol dependence
A1 - Cochran, Gerald
A1 - Brown, Jennifer
A1 - Yu, Ziji
A1 - Frede, Stacey
A1 - Bryan, M. Aryana
A1 - Ferguson, Andrew
A1 - Bayyari, Nadia
A1 - Taylor, Brooke
A1 - Snyder, Margie E.
A1 - Charron, Elizabeth
A1 - Adeoye-Olatunde, Omolola A.
A1 - Ghitza, Udi E.
A1 - Winhusen, T.
SP - e109067
EP - e109067
VL - 228
IS -
N2 - BACKGROUND: Prescription drug monitoring programs (PDMPs) are critical for pharmacists to identify risky opioid medication use. We performed an independent evaluation of the PDMP-based Narcotic Score (NS) metric.
METHODS: This study was a one-time, cross-sectional health assessment within 19 pharmacies from a national chain among adults picking-up opioid medications. The NS metric is a 3-digit composite indicator. The WHO Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was the gold-standard to which the NS metric was compared. Machine learning determined optimal risk thresholds; Receiver Operating Characteristic curves and Spearman (P) and Kappa (K) coefficients analyzed concurrent validity. Regression analyses evaluated participant characteristics associated with misclassification.
RESULTS: The NS metric showed fair concurrent validity (area under the curve≥0.70; K=0.35; P = 0.37, p < 0.001). The ASSIST and NS metric categorized 37% of participants as low-risk (i.e., not needing screening/intervention) and 32.3% as moderate/high-risk (i.e., needing screening/intervention). Further, 17.2% were categorized as low ASSIST risk but moderate/high NS metric risk, termed false positives. These reported disability (OR=3.12), poor general health (OR=0.66), and/or greater pain severity/interference (OR=1.12/1.09; all p < 0.05; i.e., needing unmanaged-pain screening/intervention). A total of 13.4% were categorized as moderate/high ASSIST risk but low NS metric risk, termed false negatives. These reported greater overdose history (OR=1.24) and/or substance use (OR=1.81-12.66; all p < 0.05).
CONCLUSIONS: The NS metric could serve as a useful initial universal prescription opioid-risk screener given its: 1) low-burden (i.e., no direct assessment); 2) high accuracy (86.5%) of actionable data identifying low-risk patients and those needing opioid use/unmanaged pain screening/intervention; and 3) broad availability.
Language: en
LA - en SN - 0376-8716 UR - http://dx.doi.org/10.1016/j.drugalcdep.2021.109067 ID - ref1 ER -