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Hospitalization in older patients due to adverse drug reactions - the need for a prediction tool


Parameswaran Nair, N and Chalmers, L and Peterson, GM and Bereznicki, BJ and Castelino, RL and Bereznicki, LRE, Hospitalization in older patients due to adverse drug reactions - the need for a prediction tool, Clinical Interventions in Aging (Online), 11 pp. 497-505. ISSN 1178-1998 (2016) [Refereed Article]


Copyright Statement

Copyright 2016 The Authors. Licensed under Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)

DOI: doi:10.2147/CIA.S99097


Adverse drug reactions (ADRs) represent a major burden on society, resulting in significant morbidity, mortality, and health care costs. Older patients living in the community are particularly susceptible to ADRs, and are at an increased risk of ADR-related hospitalization. This review summarizes the available evidence on ADR-related hospital admission in older patients living in the community, with a particular focus on risk factors for ADRs leading to hospital admission and the need for a prediction tool for risk of ADR-related hospitalization in these individuals. The reported proportion of hospital admissions due to ADRs has ranged from 6% to 12% of all admissions in older patients. The main risk factors or predictors for ADR-related admissions were advanced age, polypharmacy, comorbidity, and potentially inappropriate medications. There is a clear need to design intervention strategies to prevent ADR-related hospitalization in older patients. To ensure the cost-effectiveness of such strategies, it would be necessary to target them to those older individuals who are at highest risk of ADR-related hospitalization. Currently, there are no validated tools to assess the risk of ADRs in primary care. There is a clear need to investigate the utility of tools to identify high-risk patients to target appropriate interventions toward prevention of ADR-related hospital admissions.

Item Details

Item Type:Refereed Article
Keywords:adverse drug reactions, hospital admission, prediction, older patients, primary care, risk factors
Research Division:Biomedical and Clinical Sciences
Research Group:Pharmacology and pharmaceutical sciences
Research Field:Clinical pharmacy and pharmacy practice
Objective Division:Health
Objective Group:Other health
Objective Field:Other health not elsewhere classified
UTAS Author:Parameswaran Nair, N (Dr Nibu Parameswaran Nair)
UTAS Author:Chalmers, L (Dr Leanne Chalmers)
UTAS Author:Peterson, GM (Professor Gregory Peterson)
UTAS Author:Bereznicki, BJ (Dr Bonnie Bereznicki)
UTAS Author:Castelino, RL (Dr Ronald Castelino)
UTAS Author:Bereznicki, LRE (Professor Luke Bereznicki)
ID Code:108682
Year Published:2016
Web of Science® Times Cited:83
Deposited By:Pharmacy
Deposited On:2016-05-03
Last Modified:2017-11-02
Downloads:184 View Download Statistics

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