Research Improving People's Lives
1 Park Row, Suite 401
Providence, RI 02903
Institutional Affiliation: Brown University
NBER Working Papers and Publications
|April 2019||Predicting High-Risk Opioid Prescriptions Before they are Given|
with Justine S. Hastings, Sarah E. Inman: w25791
Misuse of prescription opioids is a leading cause of premature death in the United States. We use new state government administrative data and machine learning methods to examine whether the risk of future opioid dependence, abuse, or poisoning can be predicted in advance of an initial opioid prescription. Our models accurately predict these outcomes and identify particular prior non-opioid prescriptions, medical history, incarceration, and demographics as strong predictors. Using our model estimates, we simulate a hypothetical policy which restricts new opioid prescriptions to only those with low predicted risk. The policy’s potential benefits likely outweigh costs across demographic subgroups, even for lenient definitions of “high risk.” Our findings suggest new avenues for prevention us...
Published: in PNAS January 28, 2020 117 (4) 1917-192.