Evidence map›Paper›PMID 28486949›Full record

ArticleBMC pharmacology & toxicology2017

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

Gianina Scripcaru, Ceu Mateus, Carla Nunes

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Article in BMC pharmacology & toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Gianina ScripcaruEscola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Av Padre Cruz, 1600-560, Lisbon, Portugal.
Ceu MateusHealth Economics Group Division of Health Research, Lancaster University, Lancaster, UK.
Carla NunesEscola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Av Padre Cruz, 1600-560, Lisbon, Portugal. cnunes@ensp.unl.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsWe 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).

resultsA 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.

conclusionThe 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.

Indexed as

Cluster AnalysisDrug-Related Side Effects and Adverse ReactionsFemaleHospitals, PublicHumansMalePortugalAdverse drug eventsEpidemiologyHospitalsSpace-time

Identifiers

PMID28486949
PMCPMC5424420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.