A decade of adverse drug events in Portuguese hospitals: space-time clustering and spatial variation in temporal trends

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. We used a...

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Bibliographic Details
Published in:BMC pharmacology & toxicology 2017-05, Vol.18 (1), p.34-34, Article 34
Main Authors: Scripcaru, Gianina, Mateus, Ceu, Nunes, Carla
Format: Article
Language:English
Subjects:
Accidental poisoning
Adverse drug events
Cluster Analysis
Clustering
Consumer protection
Datasets
Disease
Drug stores
Drug-Related Side Effects and Adverse Reactions - epidemiology
Epidemiology
Female
Geography
Heterogeneity
Hospitalization
Hospitals
Hospitals, Public - trends
Humans
Identification methods
Male
Methods
Metropolitan areas
Municipalities
Patient admissions
Patients
Pharmaceutical industry
Portugal - epidemiology
Public health
Risk analysis
Risk factors
Side effects
Software
Space-time
Spacetime
Spatial analysis
Spatial variations
Studies
Trends
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Summary: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. 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). 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 
ISSN:2050-6511
2050-6511
DOI:10.1186/s40360-017-0140-y