A joint spatial model of opioid-associated deaths and treatment admissions in Ohio.

ABSTRACT:

Purpose

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.

Methods

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.

Results

We observed an association of health professional shortage area with death rates and the rate of people 18-64 on disability with treat

SUBMITTER: Kline D 

PROVIDER: S-EPMC6502680 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature