Characteristics of US Counties With High Opioid Overdose Mortality and Low Capacity to Deliver Medications for Opioid Use Disorder

Key Points

Question

What are the characteristics of US counties with high rates of opioid overdose mortality and low capacity to deliver medications for opioid use disorder?

Findings

In this cross-sectional study of data from 3142 US counties, counties in the South Atlantic, Mountain, and East North Central divisions had more than twice the odds of being at high risk for opioid overdose mortality and lacking in capacity to deliver medications for opioid use disorder. Higher density of primary care clinicians, a younger population, micropolitan status, and lower rates of unemployment were associated with lower risk of opioid overdose and lower risk of lacking in capacity to deliver medications for opioid use disorder.

Meaning

Strategies to address mortality from opioid overdose by increasing treatment for addiction should target urban counties in Appalachia, the Midwest, and the Mountain division and include efforts to increase primary care clinicians and employment opportunities.

Abstract

Importance

Opioid overdose deaths in the United States continue to increase, reflecting a growing need to treat those with opioid use disorder (OUD). Little is known about counties with high rates of opioid overdose mortality but low availability of OUD treatment.

Objective

To identify characteristics of US counties with persistently high rates of opioid overdose mortality and low capacity to deliver OUD medications.

Design, Setting, and Participants

In this cross-sectional study of data from 3142 US counties from January 1, 2015, to December 31, 2017, rates of opioid overdose mortality were compared with availability in 2017 of OUD medication providers (24 851 buprenorphine-waivered clinicians [physicians, nurse practitioners, and physician assistants], 1517 opioid treatment programs [providing methadone], and 5222 health care professionals who could prescribe extended-release naltrexone). Statistical analysis was performed from April 20, 2018, to May 8, 2019.

Exposures

Demographic, workforce, lack of insurance, road density, urbanicity, opioid prescribing, and regional division county-level characteristics.

Main Outcome and Measures

The outcome variable, “opioid high-risk county,” was a binary indicator of a high (above national) rate of opioid overdose mortality with a low (below national) rate of provider availability to deliver OUD medication. Spatial logistic regression models were used to determine associations with being an opioid high-risk county.

Results

Of 3142 counties, 751 (23.9%) had high rates of opioid overdose mortality. A total of 1457 counties (46.4%), and 946 of 1328 rural counties (71.2%), lacked a publicly available OUD medication provider in 2017. In adjusted models, compared with the West North Central division, counties in the East North Central, Mountain, and South Atlantic divisions had increased odds of being opioid high-risk counties (East North Central: odds ratio [OR], 2.21; 95% CI, 1.19-4.12; Mountain: OR, 4.15; 95% CI, 1.34-12.89; and South Atlantic: OR, 2.99; 95% CI, 1.26-7.11). A 1% increase in unemployment was associated with increased odds (OR, 1.09; 95% CI, 1.03-1.15) of a county being an opioid high-risk county. Counties with an additional 10 primary care clinicians per 100 000 population had a reduced risk of being opioid high-risk counties (OR, 0.89; 95% CI, 0.85-0.93), as did counties that were micropolitan (vs metropolitan) (OR, 0.67; 95% CI, 0.50-0.90) and those that had an additional 1% of the population younger than 25 years (OR, 0.95; 95% CI, 0.92-0.98).

Conclusions and Relevance

Counties with low availability of OUD medication providers and high rates of opioid overdose mortality were less likely to be micropolitan and have lower primary care clinician density, but were more likely to be in the East North Central, South Atlantic, or Mountain division and have higher rates of unemployment. Strategies to increase medication treatment must account for these factors.

Abstract

This cross-sectional study examines characteristics of US counties with persistently high rates of opioid overdose mortality and low capacity to deliver medications for opioid use disorder.