Citation

Scripcaru G, Mateus C, Nunes C. BMC Pharmacol. Toxicol. 2017; 18(1): 34.

Affiliation

Centro de Investigação em Saúde Pública, Universidade NOVA de Lisboa, Lisbon, Portugal. cnunes@ensp.unl.pt.

Copyright

(Copyright © 2017, Holtzbrinck Springer Nature Publishing Group - BMC)

DOI

10.1186/s40360-017-0140-y

PMID

28486949

Abstract

BACKGROUND: The aim of this study is to identify the distribution by municipalities of adverse drug events (ADE) in Portugal, including adverse drug reactions (ADR) and accidental poisoning by drugs (AP), on municipality/years ADE rate clustering. Also we identify areas with different trends in time.

METHODS: We used a national dataset of public hospital discharges in Continental Portugal from 2004 to 2013. Events were identified based on codes: from E930 to E949.9 (ADR) and from E850 to E858.9 (AP). Space-time clustering and spatial variation in temporal trends methods were applied in three different time-periods: globally, by year and grouped in 2 classes (periods of 5 years).

RESULTS: A total of 9,320,076 patients were discharged within this period, with 133,688 patients (1.46%) having at least one ADE, 4% of them related with AP. Critical space-time identified clusters (p < 0.001) were the municipalities from Lisbon metropolitan area and Centro region area. The global rate increased at a 7.8% mean annual percentage change, with high space-time heterogeneity and variation in time trends clusters (p < 0.001). For whole period, 2004-2013, all clusters presented increasing trends. However when analyzed by period of 5 years we identified two clusters with decreasing trends in time in 2004-2008.

CONCLUSION: The impact of ADE is huge, with widely variations within country and in time, and represents an increasing challenge. Future research using individual and contextual risk factors are urgently needed to understand this spatiotemporal variability in order to promote local tailored and updated actions of prevention.

Language: en

Keywords

Adverse drug events; Epidemiology; Hospitals; Space-time