Literature DB >> 30776571

Increased overdose mortality during the first week of the month: Revisiting the "check effect" through a spatial lens.

William C Goedel1, Traci C Green2, Samara Viner-Brown3, Josiah D Rich4, Brandon D L Marshall5.   

Abstract

BACKGROUND: The timing of social service benefit issuance is thought to be associated with increased drug overdose fatalities. However, the extent to which this excess mortality is concentrated in communities with higher levels of benefit receipt has not been studied. We sought to examine if benefit receipt at the neighborhood level was associated with spatiotemporal patterns of overdose fatalities.
METHODS: We conducted a retrospective review of all accidental overdose deaths recorded in Rhode Island from 2014 to 2016 (n = 838). Overdose incident locations were geocoded to the census block group level. Clusters of census block groups with excess overdose mortality at the beginning of a month were identified using spatial scan methods. Logistic regression models were fit to identify characteristics associated with the inclusion of a census block group within a cluster.
RESULTS: Increased rates of overdose fatalities at the beginning of a month were observed relative to the end of a preceding month (Ratio: 1.17; 95% CI: 1.04, 1.38). The proportions of residents receiving cash public assistance or Supplemental Security Income were not associated with excess mortality at the beginning of a month; however, the proportion of residents living in unaffordable housing was (OR: 1.42; 95% CI: 1.05, 1.91).
CONCLUSION: Despite previous research on benefit check issuance and overdose, welfare receipt was not associated with excess overdose mortality at the beginning of a month at the neighborhood level. Future research on housing cost burden and its influence on overdose death risk at the individual level is needed.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clustering; GIS; Opioids; Overdose; Social service benefits; Spatial epidemiology

Mesh:

Year:  2019        PMID: 30776571     DOI: 10.1016/j.drugalcdep.2018.12.024

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  8 in total

1.  Identifying high-risk areas for nonfatal opioid overdose: a spatial case-control study using EMS run data.

Authors:  Jeffrey Pesarsick; Melody Gwilliam; Olayemi Adeniran; Toni Rudisill; Gordon Smith; Brian Hendricks
Journal:  Ann Epidemiol       Date:  2019-07-03       Impact factor: 3.797

2.  COVID-19 economic impact payments and opioid overdose deaths: A response.

Authors:  Jon E Sprague; Arthur B Yeh; Qizhen Lan; Jamie Vieson; Maggie McCorkle
Journal:  Int J Drug Policy       Date:  2022-06-16

3.  Changes in the unregulated opioid drug supply during income assistance payment weeks in Vancouver, Canada: An exploratory analysis.

Authors:  Melissa Beaulac; Lindsey Richardson; Samuel Tobias; Mark Lysyshyn; Cameron Grant; Lianping Ti
Journal:  Int J Drug Policy       Date:  2022-04-30

4.  Comparison of Characteristics of Deaths From Drug Overdose Before vs During the COVID-19 Pandemic in Rhode Island.

Authors:  Alexandria Macmadu; Sivakumar Batthala; Annice M Correia Gabel; Marti Rosenberg; Rik Ganguly; Jesse L Yedinak; Benjamin D Hallowell; Rachel P Scagos; Elizabeth A Samuels; Magdalena Cerdá; Kimberly Paull; Brandon D L Marshall
Journal:  JAMA Netw Open       Date:  2021-09-01

5.  Effect of alternative income assistance schedules on drug use and drug-related harm: a randomised controlled trial.

Authors:  Lindsey Richardson; Allison Laing; JinCheol Choi; Ekaterina Nosova; M-J Milloy; Brandon Dl Marshall; Joel Singer; Evan Wood; Thomas Kerr
Journal:  Lancet Public Health       Date:  2021-04-12

6.  COVID-19 economic impact payments and opioid overdose deaths.

Authors:  Jon E Sprague; Arthur B Yeh; Qizhen Lan; Jamie Vieson; Maggie McCorkle
Journal:  Int J Drug Policy       Date:  2022-01-31

7.  Drug-related harm coinciding with income assistance payments: results from a community-based cohort of people who use drugs.

Authors:  Lindsey Richardson; Huiru Dong; Thomas Kerr; M-J Milloy; Kanna Hayashi
Journal:  Addiction       Date:  2020-09-21       Impact factor: 6.526

8.  Machine learning takes a village: Assessing neighbourhood-level vulnerability for an overdose and infectious disease outbreak.

Authors:  Jesse L Yedinak; Yu Li; Maxwell S Krieger; Katharine Howe; Colleen Daley Ndoye; Hyunjoon Lee; Anna M Civitarese; Theodore Marak; Elana Nelson; Elizabeth A Samuels; Philip A Chan; Thomas Bertrand; Brandon D L Marshall
Journal:  Int J Drug Policy       Date:  2021-07-31
  8 in total

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