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.
CITATION STYLE
Marques, B., Sousa-Pinto, B., Silva-Costa, T., Lopes, F., & Freitas, A. (2017). Detection of adverse events through hospital administrative data. In Advances in Intelligent Systems and Computing (Vol. 570, pp. 825–834). Springer Verlag. https://doi.org/10.1007/978-3-319-56538-5_83
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