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Detection of Adverse Events Through Hospital Administrative Data

Title
Detection of Adverse Events Through Hospital Administrative Data
Type
Article in International Conference Proceedings Book
Year
2017
Authors
Marques, B
(Author)
Other
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Silva Costa, T
(Author)
Other
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Lopes, F
(Author)
Other
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Freitas A
(Author)
FMUP
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Conference proceedings International
Pages: 825-834
World Conference on Information Systems and Technologies (WorldCIST)
Madeira, PORTUGAL, APR 11-13, 2017
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Authenticus ID: P-00M-QB7
Abstract (EN): This study aims to estimate and describe the incidence of adverse events (AE) registered in Portuguese public hospitals and consequently to determine the feasibility of using hospital administrative data as a tool for AE surveillance. A retrospective observational study using hospital administrative data was performed to detect the incidence of AE based on a selection of ICD-9-CM codes (diagnoses and external causes). All episodes in public hospitals in the period 2000-2010 were included. AE were divided in three main categories: complications of surgical or medical procedures, misadventures of surgical and medical care, and adverse drug events (ADE). The ADE subgroup was further subdivided in: poisoning, late effect, and adverse drug reaction. Over the studied period, the algorithm was able to detect 543,242 episodes with AE events (3.7% of all episodes), with an in-hospital mortality rate of 6.3%, and a median length-of-stay of 8 days. In a scenario of underreporting of AE, this administrative data approach in an important complement to the other existing surveillance techniques.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 10
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