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Methodological Complexities in Quantifying Rates of Fatal Opioid-Related Overdose
PURPOSE OF REVIEW: Effective responses to the US opioid overdose epidemic rely on accurate and timely drug overdose mortality data, which are generated from medicolegal death investigations (MDI) and certifications of overdose deaths. We identify nuances of MDI and certification of overdose deaths t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559129/ https://www.ncbi.nlm.nih.gov/pubmed/31259141 http://dx.doi.org/10.1007/s40471-019-00201-9 |
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author | Slavova, Svetla Delcher, Chris Buchanich, Jeannine M. Bunn, Terry L. Goldberger, Bruce A. Costich, Julia F. |
author_facet | Slavova, Svetla Delcher, Chris Buchanich, Jeannine M. Bunn, Terry L. Goldberger, Bruce A. Costich, Julia F. |
author_sort | Slavova, Svetla |
collection | PubMed |
description | PURPOSE OF REVIEW: Effective responses to the US opioid overdose epidemic rely on accurate and timely drug overdose mortality data, which are generated from medicolegal death investigations (MDI) and certifications of overdose deaths. We identify nuances of MDI and certification of overdose deaths that can influence drug overdose mortality surveillance, as well as recent research, recommendations, and epidemiological tools for improved identification and quantification of specific drug involvement in overdose mortality. RECENT FINDINGS: Death certificates are the foundation of drug overdose mortality surveillance. Accordingly, counts and rates of specific drug involvement in overdose deaths are only as accurate as the drug listed on death certificates. Variation in systematic approaches or jurisdictional office policy in drug overdose death certification can lead to bias in mortality rate calculations. Recent research has examined statistical adjustments to improve underreported opioid involvement in overdose deaths. New cause-of-death natural language text analysis tools improve quantification of specific opioid overdose mortality rates. Enhanced opioid overdose surveillance, which combines death certificate data with other MDI-generated data, has the potential to improve understanding of factors and circumstances of opioid overdose mortality. SUMMARY: The opioid overdose crisis has brought into focus some of the limitations of US MDI systems for drug overdose surveillance and has given rise to a sense of urgency regarding the pressing need for improvements in our MDI data for public health action and research. Epidemiologists can stimulate positive changes in MDI data quality by demonstrating the critical role of data in guiding public health and safety decisions and addressing the challenges of accurate and timely overdose mortality measures with stakeholders. Education, training, and resources specific to drug overdose surveillance and analysis will be essential as the nation’s overdose crisis continues to evolve. |
format | Online Article Text |
id | pubmed-6559129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-65591292019-06-26 Methodological Complexities in Quantifying Rates of Fatal Opioid-Related Overdose Slavova, Svetla Delcher, Chris Buchanich, Jeannine M. Bunn, Terry L. Goldberger, Bruce A. Costich, Julia F. Curr Epidemiol Rep Injury Epidemiology (S Marshall, Section Editor) PURPOSE OF REVIEW: Effective responses to the US opioid overdose epidemic rely on accurate and timely drug overdose mortality data, which are generated from medicolegal death investigations (MDI) and certifications of overdose deaths. We identify nuances of MDI and certification of overdose deaths that can influence drug overdose mortality surveillance, as well as recent research, recommendations, and epidemiological tools for improved identification and quantification of specific drug involvement in overdose mortality. RECENT FINDINGS: Death certificates are the foundation of drug overdose mortality surveillance. Accordingly, counts and rates of specific drug involvement in overdose deaths are only as accurate as the drug listed on death certificates. Variation in systematic approaches or jurisdictional office policy in drug overdose death certification can lead to bias in mortality rate calculations. Recent research has examined statistical adjustments to improve underreported opioid involvement in overdose deaths. New cause-of-death natural language text analysis tools improve quantification of specific opioid overdose mortality rates. Enhanced opioid overdose surveillance, which combines death certificate data with other MDI-generated data, has the potential to improve understanding of factors and circumstances of opioid overdose mortality. SUMMARY: The opioid overdose crisis has brought into focus some of the limitations of US MDI systems for drug overdose surveillance and has given rise to a sense of urgency regarding the pressing need for improvements in our MDI data for public health action and research. Epidemiologists can stimulate positive changes in MDI data quality by demonstrating the critical role of data in guiding public health and safety decisions and addressing the challenges of accurate and timely overdose mortality measures with stakeholders. Education, training, and resources specific to drug overdose surveillance and analysis will be essential as the nation’s overdose crisis continues to evolve. Springer International Publishing 2019-05-02 2019 /pmc/articles/PMC6559129/ /pubmed/31259141 http://dx.doi.org/10.1007/s40471-019-00201-9 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Injury Epidemiology (S Marshall, Section Editor) Slavova, Svetla Delcher, Chris Buchanich, Jeannine M. Bunn, Terry L. Goldberger, Bruce A. Costich, Julia F. Methodological Complexities in Quantifying Rates of Fatal Opioid-Related Overdose |
title | Methodological Complexities in Quantifying Rates of Fatal Opioid-Related Overdose |
title_full | Methodological Complexities in Quantifying Rates of Fatal Opioid-Related Overdose |
title_fullStr | Methodological Complexities in Quantifying Rates of Fatal Opioid-Related Overdose |
title_full_unstemmed | Methodological Complexities in Quantifying Rates of Fatal Opioid-Related Overdose |
title_short | Methodological Complexities in Quantifying Rates of Fatal Opioid-Related Overdose |
title_sort | methodological complexities in quantifying rates of fatal opioid-related overdose |
topic | Injury Epidemiology (S Marshall, Section Editor) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559129/ https://www.ncbi.nlm.nih.gov/pubmed/31259141 http://dx.doi.org/10.1007/s40471-019-00201-9 |
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