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COVID-19 economic impact payments and opioid overdose deaths

BACKGROUND: Given the global economic recessions mediated by the COVID-19 pandemic and that many countries have implemented direct income support programs, we investigated the timing of the COVID-19 economic impact payments and opioid overdose deaths. METHODS: A longitudinal, observational study des...

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Autores principales: Sprague, Jon E., Yeh, Arthur B., Lan, Qizhen, Vieson, Jamie, McCorkle, Maggie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801311/
https://www.ncbi.nlm.nih.gov/pubmed/35131687
http://dx.doi.org/10.1016/j.drugpo.2022.103608
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author Sprague, Jon E.
Yeh, Arthur B.
Lan, Qizhen
Vieson, Jamie
McCorkle, Maggie
author_facet Sprague, Jon E.
Yeh, Arthur B.
Lan, Qizhen
Vieson, Jamie
McCorkle, Maggie
author_sort Sprague, Jon E.
collection PubMed
description BACKGROUND: Given the global economic recessions mediated by the COVID-19 pandemic and that many countries have implemented direct income support programs, we investigated the timing of the COVID-19 economic impact payments and opioid overdose deaths. METHODS: A longitudinal, observational study design that included data from the Ohio Department of Health was utilized. Statistical change point analyses were conducted to identify significant changes in weekly number of opioid overdose deaths from January 1 of 2018 to August 1 of 2020. Additional analyses including difference-in-difference, time series tests, interrupted time series regression analysis and Granger causality test were performed. RESULTS: A single change point was identified and occurred at week 16, 2020. For 2020, the median opioid overdose deaths numbers for weeks 1–16 and weeks 17–32 were 68.5 and 101, respectively. The opioid overdose deaths numbers from weeks 17–32 of 2020 were significantly higher than those in weeks 1–16 of 2020 and those in 2018 and 2019 (before and after week 16). The interrupted time series regression analysis indicated more than 203 deaths weekly for weeks 17–32 of 2020 compared to all other weeks. The result of the Granger causality test found that the identified change point (week 16 of 2020) directly influenced the increase in opioid overdose deaths in weeks 17–32 of 2020. CONCLUSION: The identified change point may refer to the timing of many factors, not only the economic payments and further research is warranted to investigate the potential relationship between the COVID-19 economic impact payments and overdose deaths.
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spelling pubmed-88013112022-01-31 COVID-19 economic impact payments and opioid overdose deaths Sprague, Jon E. Yeh, Arthur B. Lan, Qizhen Vieson, Jamie McCorkle, Maggie Int J Drug Policy Research Paper BACKGROUND: Given the global economic recessions mediated by the COVID-19 pandemic and that many countries have implemented direct income support programs, we investigated the timing of the COVID-19 economic impact payments and opioid overdose deaths. METHODS: A longitudinal, observational study design that included data from the Ohio Department of Health was utilized. Statistical change point analyses were conducted to identify significant changes in weekly number of opioid overdose deaths from January 1 of 2018 to August 1 of 2020. Additional analyses including difference-in-difference, time series tests, interrupted time series regression analysis and Granger causality test were performed. RESULTS: A single change point was identified and occurred at week 16, 2020. For 2020, the median opioid overdose deaths numbers for weeks 1–16 and weeks 17–32 were 68.5 and 101, respectively. The opioid overdose deaths numbers from weeks 17–32 of 2020 were significantly higher than those in weeks 1–16 of 2020 and those in 2018 and 2019 (before and after week 16). The interrupted time series regression analysis indicated more than 203 deaths weekly for weeks 17–32 of 2020 compared to all other weeks. The result of the Granger causality test found that the identified change point (week 16 of 2020) directly influenced the increase in opioid overdose deaths in weeks 17–32 of 2020. CONCLUSION: The identified change point may refer to the timing of many factors, not only the economic payments and further research is warranted to investigate the potential relationship between the COVID-19 economic impact payments and overdose deaths. Elsevier B.V. 2022-04 2022-01-31 /pmc/articles/PMC8801311/ /pubmed/35131687 http://dx.doi.org/10.1016/j.drugpo.2022.103608 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Research Paper
Sprague, Jon E.
Yeh, Arthur B.
Lan, Qizhen
Vieson, Jamie
McCorkle, Maggie
COVID-19 economic impact payments and opioid overdose deaths
title COVID-19 economic impact payments and opioid overdose deaths
title_full COVID-19 economic impact payments and opioid overdose deaths
title_fullStr COVID-19 economic impact payments and opioid overdose deaths
title_full_unstemmed COVID-19 economic impact payments and opioid overdose deaths
title_short COVID-19 economic impact payments and opioid overdose deaths
title_sort covid-19 economic impact payments and opioid overdose deaths
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801311/
https://www.ncbi.nlm.nih.gov/pubmed/35131687
http://dx.doi.org/10.1016/j.drugpo.2022.103608
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