Relative importance of socioecological domains to predicting opioid-involved mortality.

ABSTRACT:

Background

The opioid crisis in the United States is a complex issue with interconnected factors that lead to opioid misuse and opioid-involved mortality. This study assessed the relative importance of different risk factor domains in predicting fatal opioid-involved mortality that occurred after hospital encounters involving opioids.

Methods

A machine learning model was developed by integrating multiple data sources, including hospital records, death records, and societal data. The model allowed simultaneous examination of risk factors across individual drug and non-drug related factors, hospital factors, and societal factors.

Results

429,005 patients with opioid-related encounters in 2014 were assessed, where 56.6% were female and the mean age was 44.98. Among death

SUBMITTER: Black JC 

PROVIDER: S-EPMC12306787 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature