Development of an algorithm to identify inpatient opioid-related overdoses and oversedation using electronic data.

ABSTRACT:

Purpose

To facilitate surveillance and evaluate interventions addressing opioid-related overdoses, algorithms are needed for use in large health care databases to identify and differentiate community-occurring opioid-related overdoses from inpatient-occurring opioid-related overdose/oversedation.

Methods

Data were from Kaiser Permanente Northwest (KPNW), a large integrated health plan. We iteratively developed and evaluated an algorithm for electronically identifying inpatient overdose/oversedation in KPNW hospitals from 1 January 2008 to 31 December 2014. Chart audits assessed accuracy; data sources included administrative and clinical records.

Results

The best-performing algorithm used these rules: (1) Include events with opioids administered in an inpatient setting

SUBMITTER: Green CA 

PROVIDER: S-EPMC6767384 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature