| Title |
A decade of adverse drug events in Portuguese hospitals: space-time clustering and spatial variation in temporal trends
|
|---|---|
| Published in |
BMC Pharmacology and Toxicology, May 2017
|
| DOI | 10.1186/s40360-017-0140-y |
| Pubmed ID | |
| Authors |
Gianina Scripcaru, Ceu Mateus, Carla Nunes |
| Abstract |
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 < 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. 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 19% |
| Other | 4 | 15% |
| Student > Doctoral Student | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 8 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Engineering | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 11 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 June 2017.
All research outputs
#15,459,013
of 22,971,207 outputs
Outputs from BMC Pharmacology and Toxicology
#249
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Outputs of similar age
#195,194
of 310,791 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#11
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