|
Activity Number:
|
423
- Topics in Health Services Research: Meta-Analysis, Health Care Disparities, and Observational Data
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 10, 2022 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Health Policy Statistics Section
|
|
Abstract #323598
|
|
|
Title:
|
An Integrated Abundance Model for Estimating County-Level Prevalence of Opioid Misuse in Ohio
|
|
Author(s):
|
Staci Hepler* and David Kline and Lance Waller
|
|
Companies:
|
Wake Forest University and Wake Forest University and Rollins School of Public Health, Emory University
|
|
Keywords:
|
Disease mapping;
Downscaling;
Hierarchical;
Opioid epidemic;
Small area estimation;
Surveillance
|
|
Abstract:
|
Opioid misuse is a national epidemic and a significant drug related threat to the United States. While the scale of the problem is undeniable, estimates of the local prevalence of opioid misuse are lacking, despite their importance to policy-making and resource allocation. This is due, in part, to the challenge of directly measuring opioid misuse at a local level. In this paper, we develop a Bayesian hierarchical spatio-temporal abundance model that integrates indirect county-level data on opioid-related outcomes with state-level survey estimates on prevalence of opioid misuse to estimate the latent county-level prevalence and counts of people who misuse opioids. A simulation study shows that our integrated model accurately recovers the latent counts and prevalence. We apply our model to county-level surveillance data on opioid overdose deaths and treatment admissions from the state of Ohio.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2022 program
|
