Evidence map›Paper›PMID 35131687›Full record

Observational studyThe International journal on drug policy2022

COVID-19 economic impact payments and opioid overdose deaths.

Jon E Sprague, Arthur B Yeh, Qizhen Lan, Jamie Vieson, Maggie McCorkle

Abstract readObservational Study
In one paragraph

Observational study in The International journal on drug policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jon E SpragueThe Ohio Attorney General's Office, Columbus, OH 43215, USA; The Ohio Attorney General's Center for the Future of Forensic Science, Bowling Green State University, Bowling Green, OH 43403, USA. Electronic address: jesprag@bgsu.edu.
Arthur B YehDepartment of Applied Statistics and Operations Research, Bowling Green State University, Bowling Green, OH 43403, USA.
Qizhen LanDepartment of Computer Science, Bowling Green State University, Bowling Green, OH 43403, USA.
Jamie ViesonThe Ohio Attorney General's Office, Columbus, OH 43215, USA.
Maggie McCorkleThe Ohio Attorney General's Office, Columbus, OH 43215, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven 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.

methodsA 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.

resultsA 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.

conclusionThe 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.

Indexed as

COVID-19Drug OverdoseOpiate OverdoseAnalgesics, OpioidHumansInterrupted Time Series AnalysisPandemicsAnalgesics, OpioidDrug policyOverdoseStimulus check

Identifiers

PMID35131687
PMCPMC8801311

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.