Literature DB >> 31266767

Opioid-related diagnoses and HIV, HCV and mental disorders: using Pennsylvania hospitalisation data to assess community-level relationships over space and time.

Natalie Sumetsky1, Jessica G Burke1, Christina Mair2.   

Abstract

BACKGROUND: We assessed the community-level spatiotemporal connexions between hospitalisations for common opioid comorbidities (HIV, hepatitis C (HCV) and mental disorders) and opioid-related hospitalisations in the current and previous year.
METHODS: We used Bayesian hierarchical spatiotemporal Poisson regression with conditionally autoregressive spatial effects to assess counts of HCV-related, HIV-related and mental disorder-related hospitalisations at the ZIP code level from 2004 to 2014 in Pennsylvania. Models included rates of current-year and previous-year opioid-related hospitalisations as well as covariates measuring demographic and environmental characteristics.
RESULTS: After adjusting for measures of demographic and environmental characteristics, current-year and previous-year opioid-related hospitalisations were associated with higher risk of HCV, HIV and mental disorders. The relative risks and 95% credible intervals for previous-year opioid-related hospitalisations were 1.092 (1.078 to 1.106) for HCV, 1.098 (1.068 to 1.126) for HIV and 1.020 (1.013 to 1.027) for mental disorders.
CONCLUSION: Previous-year opioid-related hospitalisations are connected to common comorbid conditions such as HCV, HIV and mental disorders, illustrating some of the broader health-related impacts of the opioid epidemic. Public health interventions focused on the opioid epidemic must consider individual community needs and comorbid diagnoses. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  HIV; hepatitis; mental health; spatial analysis; substance abuse

Mesh:

Year:  2019        PMID: 31266767      PMCID: PMC6910647          DOI: 10.1136/jech-2019-212551

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


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