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

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

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

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

School of Pharmacy

Research output: Contribution to journal › Article › peer-review

38 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 language	English
Pages (from-to)	47-55
Number of pages	9
Journal	CLINICAL DRUG INVESTIGATION
Volume	13
Publication status	Published - 1997

Cite this

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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.",

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AU - McElnay, James

AU - McCallion, C.R.

AU - AlDeagi, F.

AU - Scott, M.G.

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

M3 - Article

VL - 13

SP - 47

EP - 55

JO - CLINICAL DRUG INVESTIGATION

JF - CLINICAL DRUG INVESTIGATION

ER -

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

Abstract

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