Outi Laatikainen, Sami Sneck, Risto Bloigu, Minna Lahtinen, Timo Lauri, Miia Turpeinen
Abstract
Adverse drug events (ADEs) are more likely to affect geriatric patients due to physiological changes occurring with aging. Even though this is an internationally recognized problem, similar research data in Finland is still lacking. The aim of this study was to determine the number of geriatric medication-related hospitalizations in the Finnish patient population and to discover the potential means of recognizing patients particularly at risk of ADEs. The study was conducted retrospectively from the 2014 emergency department patient records in Oulu University Hospital. A total number of 290 admissions were screened for ADEs, adverse drug reactions (ADRs) and drug-drug interactions (DDIs) by a multi-disciplinary research team. Customized Naranjo scale was used as a control method. All admissions were categorized into "probable," "possible," or "doubtful" by both assessment methods. In total, 23.1% of admissions were categorized as "probably" or "possibly" medication-related. Vertigo, falling, and fractures formed the largest group of ADEs. The most common ADEs were related to medicines from N class of the ATC-code system. Age, sex, residence, or specialty did not increase the risk for medication-related admission significantly (min p = 0.077). Polypharmacy was, however, found to increase the risk (OR 3.3; 95% CI, 1.5-6.9; p = 0.01). In conclusion, screening patients for specific demographics or symptoms would not significantly improve the recognition of ADEs. In addition, as ADE detection today is largely based on voluntary reporting systems and retrospective manual tracking of errors, it is evident that more effective methods for ADE detection are needed in the future.
Pharmacology, Toxicology and Pharmaceutical Science
26
33%
Medicine and Dentistry
12
15%
Nursing and Health Professions
11
14%
Chemistry
2
3%
Biochemistry, Genetics and Molecular Biology
2
3%
Other
9
11%
Unknown
18
23%
Attention Score in Context
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 05 October 2016.
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#20,344,065
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Outputs from Frontiers in Pharmacology
#10,123
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Outputs of similar age from Frontiers in Pharmacology
#94
of 162 outputs
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