Characterizing non-heroin opioid overdoses using electronic health records
| Autor: | Abdul A. Tariq, Amelia J. Averitt, Adler J. Perotte, Benjamin H. Slovis, David K. Vawdrey |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
opioid-related disorder Psychological intervention Health Informatics Research and Applications 01 natural sciences Health informatics Heroin 03 medical and health sciences 0302 clinical medicine clinical informatics medicine 030212 general & internal medicine 0101 mathematics Medical prescription Intensive care medicine business.industry Public health 010102 general mathematics Opioid use disorder medicine.disease substance-related disorders electronic health records Opioid Cohort epidemiology business medicine.drug |
| Zdroj: | JAMIA Open |
| ISSN: | 2574-2531 |
| DOI: | 10.1093/jamiaopen/ooz063 |
| Popis: | IntroductionThe opioid epidemic is a modern public health emergency. Common interventions to alleviate the opioid epidemic aim to discourage excessive prescription of opioids. However, these methods often take place over large municipal areas (state-level) and may fail to address the diversity that exists within each opioid case (individual-level). An intervention to combat the opioid epidemic that takes place at the individual-level would be preferable.MethodsThis research leverages computational tools and methods to characterize the opioid epidemic at the individual-level using the electronic health record data from a large, academic medical center. To better understand the characteristics of patients with opioid use disorder (OUD) we leveraged a self-controlled analysis to compare the healthcare encounters before and after an individual’s first overdose event recorded within the data. We further contrast these patients with matched, non-OUD controls to demonstrate the unique qualities of the OUD cohort.ResultsOur research confirms that the rate of opioid overdoses in our hospital significantly increased between 2006 and 2015 (P ConclusionsInformatics-based methodologies, like those presented here, may play a role in better understanding those individuals who suffer from opioid dependency and overdose, and may lead to future research and interventions that could successfully prevent morbidity and mortality associated with this epidemic. |
| Databáze: | OpenAIRE |
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