Application of an Innovative Data Mining Approach Towards Safe Polypharmacy Practice in Older Adults.

ABSTRACT:

Introduction

Polypharmacy is common and is associated with higher risk of adverse drug event (ADE) among older adults. Knowledge on the ADE risk level of exposure to different drug combinations is critical for safe polypharmacy practice, while approaches for this type of knowledge discovery are limited. The objective of this study was to apply an innovative data mining approach to discover high-risk and alternative low-risk high-order drug combinations (e.g., three- and four-drug combinations).

Methods

A cohort of older adults (≥ 65 years) who visited an emergency department (ED) were identified from Medicare fee-for-service and MarketScan Medicare supplemental data. We used International Classification of Diseases (ICD) codes to identify ADE cases potentially induced by ant

SUBMITTER: Shi Y 

PROVIDER: S-EPMC11256269 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature