COVID-19 economic impact payments and opioid overdose deaths
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. A longitudinal, observational study design that included dat...
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Veröffentlicht in: | The International journal of drug policy 2022-04, Vol.102, p.103608-103608, Article 103608 |
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creator | Sprague, Jon E. Yeh, Arthur B. Lan, Qizhen Vieson, Jamie McCorkle, Maggie |
description | 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.
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.
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.
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. |
doi_str_mv | 10.1016/j.drugpo.2022.103608 |
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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.
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.
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.</description><identifier>ISSN: 0955-3959</identifier><identifier>EISSN: 1873-4758</identifier><identifier>DOI: 10.1016/j.drugpo.2022.103608</identifier><identifier>PMID: 35131687</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Analgesics, Opioid - therapeutic use ; Causality ; Change agents ; Coronaviruses ; COVID-19 ; Drug overdose ; Drug Overdose - epidemiology ; Drug policy ; Economic impact ; Humans ; Income support ; Interrupted Time Series Analysis ; Narcotics ; Opiate Overdose - epidemiology ; Opioids ; Overdose ; Pandemics ; Payments ; Recessions ; Regression analysis ; Research Paper ; Stimulus check ; Time series</subject><ispartof>The International journal of drug policy, 2022-04, Vol.102, p.103608-103608, Article 103608</ispartof><rights>2022 Elsevier B.V.</rights><rights>Copyright © 2022 Elsevier B.V. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Apr 2022</rights><rights>2022 Elsevier B.V. All rights reserved. 2022 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c491t-8d86218d6935567dbf692c4031c17d03605d806a18a4ba72c3f41fcc3ff897b53</citedby><cites>FETCH-LOGICAL-c491t-8d86218d6935567dbf692c4031c17d03605d806a18a4ba72c3f41fcc3ff897b53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.drugpo.2022.103608$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3536,27845,27903,27904,30978,45974</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35131687$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sprague, Jon E.</creatorcontrib><creatorcontrib>Yeh, Arthur B.</creatorcontrib><creatorcontrib>Lan, Qizhen</creatorcontrib><creatorcontrib>Vieson, Jamie</creatorcontrib><creatorcontrib>McCorkle, Maggie</creatorcontrib><title>COVID-19 economic impact payments and opioid overdose deaths</title><title>The International journal of drug policy</title><addtitle>Int J Drug Policy</addtitle><description>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.
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.
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.
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.</description><subject>Analgesics, Opioid - therapeutic use</subject><subject>Causality</subject><subject>Change agents</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Drug overdose</subject><subject>Drug Overdose - epidemiology</subject><subject>Drug policy</subject><subject>Economic impact</subject><subject>Humans</subject><subject>Income support</subject><subject>Interrupted Time Series Analysis</subject><subject>Narcotics</subject><subject>Opiate Overdose - epidemiology</subject><subject>Opioids</subject><subject>Overdose</subject><subject>Pandemics</subject><subject>Payments</subject><subject>Recessions</subject><subject>Regression analysis</subject><subject>Research Paper</subject><subject>Stimulus check</subject><subject>Time series</subject><issn>0955-3959</issn><issn>1873-4758</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>7TQ</sourceid><recordid>eNp9kF1LwzAUhoMobk7_gUjB686cpkkTEEHm10DwRr0NWZJqxtrUpBvs35ux-XXj1QtJznuePAidAh4DBnYxH5uwfOv8uMBFkY4Iw3wPDYFXJC8ryvfREAtKcyKoGKCjGOcY4xJKOEQDQoEA49UQXU6eXqc3OYjMat_6xunMNZ3SfdapdWPbPmaqNZnvnHcpVjYYH21mrOrf4zE6qNUi2pNdjtDL3e3z5CF_fLqfTq4fc10K6HNuOCuAGyYIpawys5qJQpeYgIbKbMCp4Zgp4KqcqarQpC6h1ilqLqoZJSN0te3tlrPGGp2wglrILrhGhbX0ysm_N617l29-JTnH6aOQCs53BcF_LG3s5dwvQ5uYZcEY0EqwBDdC5faVDj7GYOvvDYDlxrmcy61zuXEut87T2Nlvuu-hL8k_-DY5WjkbZNTOttoaF6zupfHu_w2frTqTog</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Sprague, Jon E.</creator><creator>Yeh, Arthur B.</creator><creator>Lan, Qizhen</creator><creator>Vieson, Jamie</creator><creator>McCorkle, Maggie</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7TQ</scope><scope>8BJ</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>5PM</scope></search><sort><creationdate>20220401</creationdate><title>COVID-19 economic impact payments and opioid overdose deaths</title><author>Sprague, Jon E. ; Yeh, Arthur B. ; Lan, Qizhen ; Vieson, Jamie ; McCorkle, Maggie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c491t-8d86218d6935567dbf692c4031c17d03605d806a18a4ba72c3f41fcc3ff897b53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analgesics, Opioid - therapeutic use</topic><topic>Causality</topic><topic>Change agents</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Drug overdose</topic><topic>Drug Overdose - epidemiology</topic><topic>Drug policy</topic><topic>Economic impact</topic><topic>Humans</topic><topic>Income support</topic><topic>Interrupted Time Series Analysis</topic><topic>Narcotics</topic><topic>Opiate Overdose - epidemiology</topic><topic>Opioids</topic><topic>Overdose</topic><topic>Pandemics</topic><topic>Payments</topic><topic>Recessions</topic><topic>Regression analysis</topic><topic>Research Paper</topic><topic>Stimulus check</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sprague, Jon E.</creatorcontrib><creatorcontrib>Yeh, Arthur B.</creatorcontrib><creatorcontrib>Lan, Qizhen</creatorcontrib><creatorcontrib>Vieson, Jamie</creatorcontrib><creatorcontrib>McCorkle, Maggie</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The International journal of drug policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sprague, Jon E.</au><au>Yeh, Arthur B.</au><au>Lan, Qizhen</au><au>Vieson, Jamie</au><au>McCorkle, Maggie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COVID-19 economic impact payments and opioid overdose deaths</atitle><jtitle>The International journal of drug policy</jtitle><addtitle>Int J Drug Policy</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>102</volume><spage>103608</spage><epage>103608</epage><pages>103608-103608</pages><artnum>103608</artnum><issn>0955-3959</issn><eissn>1873-4758</eissn><abstract>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.
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.
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.
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.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>35131687</pmid><doi>10.1016/j.drugpo.2022.103608</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analgesics, Opioid - therapeutic use Causality Change agents Coronaviruses COVID-19 Drug overdose Drug Overdose - epidemiology Drug policy Economic impact Humans Income support Interrupted Time Series Analysis Narcotics Opiate Overdose - epidemiology Opioids Overdose Pandemics Payments Recessions Regression analysis Research Paper Stimulus check Time series |
title | COVID-19 economic impact payments and opioid overdose deaths |
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