Multiple Factors Drive Opioid Prescribing at the Time of Discharge

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Multiple factors potentially influence pain intensity or frequency, and consequently the need for an opioid prescription. This study aims to identify factors associated with being discharged with an outpatient opioid prescription. We constructed a database containing clinical, non-clinical, and organizational variables from the EHR that are potentially relevant for ordering an opioid at discharge. Descriptive statistics of these variables and univariate association analysis reveal that all of the examined variables to be statistically significantly associated with opioid prescription at discharge. Further, we fitted a random forest model to examine the information content in the examined variables regarding whether a patient will be discharged with an opioid. The model resulted in a mean AUC of 0.84, suggesting the factors examined in this study in combination contain significant information regarding prescription of an opioid at discharge.

Original languageEnglish (US)
Pages (from-to)916-921
Number of pages6
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
StatePublished - Jan 1 2018


Dive into the research topics of 'Multiple Factors Drive Opioid Prescribing at the Time of Discharge'. Together they form a unique fingerprint.

Cite this