Development of a risk model for adverse drug events in the elderly

James McElnay, C.R. McCallion, F. AlDeagi, M.G. Scott

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

The aim of this study was to develop a predictive model for adverse drug events (ADEs) in elderly patients. Socio-demographic and medical data were collected from chart reviews, computerised information and a patient interview, for a population of 929 elderly patients (aged greater than or equal to 65 years) whose admission to the Waveney/B raid Valley Hospital in Northern Ireland was not scheduled. A further 204 patients formed a validation group. An ADE score was assigned to each patient using a modified Naranjo algorithm scoring system. The ADE scores ranged from 0 to 8. For the purposes of developing a risk model, scores of 4 or more were considered to constitute a high risk of an ADE.
Original languageEnglish
Pages (from-to)47-55
Number of pages9
JournalCLINICAL DRUG INVESTIGATION
Volume13
Publication statusPublished - 1997

Fingerprint Dive into the research topics of 'Development of a risk model for adverse drug events in the elderly'. Together they form a unique fingerprint.

Cite this