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

Nibu Parameswaran Nair, Leanne Chalmers, Gregory M Peterson, Bonnie J Bereznicki, Ronald L Castelino, Luke R Bereznicki Division of Pharmacy, School of Medicine, Faculty of Health, University of Tasmania, Hobart, TAS, Australia Abstract: Adverse drug reactions (ADRs) represent a major burden on so...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Parameswaran Nair N, Chalmers L, Peterson GM, Bereznicki BJ, Castelino RL, Bereznicki LR
Formato: article
Lenguaje:EN
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://doaj.org/article/8d57c94471a9446e9be0103f181c06f9
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario:Nibu Parameswaran Nair, Leanne Chalmers, Gregory M Peterson, Bonnie J Bereznicki, Ronald L Castelino, Luke R Bereznicki Division of Pharmacy, School of Medicine, Faculty of Health, University of Tasmania, Hobart, TAS, Australia Abstract: 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. Keywords: adverse drug reactions, hospital admission, prediction, older patients, primary care, risk factors