A joint spatial model of opioid-associated deaths and treatment admissions in Ohio.
Bayesian hierarchical modeling
Disease mapping
Multivariate
Opioid
Spatial analysis
Substance-related disorders
Journal
Annals of epidemiology
ISSN: 1873-2585
Titre abrégé: Ann Epidemiol
Pays: United States
ID NLM: 9100013
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
21
09
2018
revised:
10
01
2019
accepted:
20
02
2019
pubmed:
6
4
2019
medline:
6
2
2020
entrez:
6
4
2019
Statut:
ppublish
Résumé
Opioid misuse is a national epidemic, and Ohio is one of the states most impacted by this crisis. Ohio collects county-level counts of opioid-associated deaths and treatment admissions. We jointly model these two outcomes and assess the association of each rate with social and structural factors. We use a joint spatial rates model of death and treatment counts using a generalized common spatial factor model. In addition to covariate effects, we estimate a spatial factor for each county that characterizes structural factors not accounted for by other covariates in the model that are associated with both outcomes. We observed an association of health professional shortage area with death rates and the rate of people 18-64 on disability with treatment rates. The proportion of single female households was associated with both outcomes. We estimated the presence of unmeasured risk factors in the southwestern part of the state and unmeasured protective factors in the eastern region. We described associations of social and structural covariates with the death and treatment rates. We also characterized counties with latent risk that can provide a launching point for future investigations to determine potential sources of that risk.
Identifiants
pubmed: 30948153
pii: S1047-2797(18)30885-8
doi: 10.1016/j.annepidem.2019.02.004
pmc: PMC6502680
mid: NIHMS1524414
pii:
doi:
Substances chimiques
Analgesics, Opioid
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
19-23Subventions
Organisme : NIDA NIH HHS
ID : R21 DA045236
Pays : United States
Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.
Références
Addiction. 2015 Jun;110(6):996-1005
pubmed: 25644938
Drug Alcohol Rev. 2015 Jan;34(1):90-6
pubmed: 25302627
MMWR Morb Mortal Wkly Rep. 2017 Sep 01;66(34):904-908
pubmed: 28859050
Public Health Rep. 2015 Jul-Aug;130(4):339-42
pubmed: 26345488
Ann Epidemiol. 2018 Sep;28(9):641-652
pubmed: 29921551
N Engl J Med. 2015 Jan 15;372(3):241-8
pubmed: 25587948
Am J Epidemiol. 1988 May;127(5):893-904
pubmed: 3282433
MMWR Morb Mortal Wkly Rep. 2012 Mar 2;61(8):133-8
pubmed: 22377843
NCHS Data Brief. 2014 Sep;(166):1-8
pubmed: 25228059
Addiction. 2014 Jan;109(1):79-87
pubmed: 23961726
Am J Psychiatry. 2016 Jan;173(1):18-26
pubmed: 26337039
Addiction. 2015 Jun;110(6):986-93
pubmed: 25619110
Addiction. 2014 Aug;109(8):1306-17
pubmed: 24612249
Curr HIV/AIDS Rep. 2018 Apr;15(2):96-112
pubmed: 29460225
Soc Sci Med. 2005 Sep;61(5):1026-44
pubmed: 15955404
Bayesian Anal. 2017 Mar;12(1):239-259
pubmed: 29707101
MMWR Morb Mortal Wkly Rep. 2016 Jan 01;64(50-51):1378-82
pubmed: 26720857
Biostatistics. 2003 Oct;4(4):569-82
pubmed: 14557112
Stat Med. 2000 Sep 15-30;19(17-18):2377-97
pubmed: 10960860