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. Author manuscript; available in PMC: 2020 Mar 12.
Published in final edited form as: Health Aff (Millwood). 2019 Apr;38(4):633–642. doi: 10.1377/hlthaff.2018.05049

Exhibit 1.

Demographics and County Characteristics of Individuals Enrolled in the West Virginia Medicaid Expansion Overall and Individuals with OUD, 2014 to 2016

Full Sample Diagnosed
with Opioid
Use Disorder
Not
Diagnosed
with Opioid
Use
Disorder
P-Value
N 349,927 19,318 330,609
Mean Age in Years 38.8743 34.35573 39.13833 ***
Male 47.22% 57.97% 46.59% ***
Female 52.78% 42.03% 53.41% ***
Race/Ethnicity
Non-Hispanic White 89.86% 90.70% 89.81% ***
Non-Hispanic Black 4.10% 1.65% 4.24% ***
Hispanic 0.61% 2.69% 0.49% ***
Other Race 5.43% 4.97% 5.46% **
Rural-suburban-urban status
In an MSA 56.99% 64.45% 56.56% ***
Suburban, adjacent to an MSA 28.63% 24.56% 28.87% ***
Rural, non-adjacent to MSA 14.38% 10.99% 14.58% ***
Chronic Condition
Any Chronic Condition 38.07% 52.38% 37.23% ***
Hypertension 12.99% 10.00% 13.16% ***
Hyperlipidemia 5.80% 2.52% 6.00% ***
Atherosclerosis 0.43% 0.28% 0.44% **
Asthma 2.57% 2.45% 2.57%
COPD 3.22% 3.41% 3.21%
Arthritis 5.72% 4.34% 5.80% ***
Diabetes 7.32% 3.57% 7.54% ***
Depression 7.62% 21.13% 6.83% ***
Anxiety Disorder 6.59% 14.92% 6.10% ***
Bipolar Disorder 2.97% 10.06% 2.56% ***
Hepatitis C 1.14% 7.31% 0.78% ***
HIV 0.12% 0.22% 0.12% ***
Alcohol Use Disorder 1.14% 4.62% 0.93% ***
Chronic Pain 1.33% 3.00% 1.23% ***

Source: Authors’ analysis of West Virginia Medicaid expansion claims data 2014–2016.

Notes: Rural-urban status is determined using the urban-rural continuum code scores. Each observation in this table represents a unique individual with at least 10 months of data during one of the three years from 2014 to 2016. P-value for pairwise t-test between people diagnosed with opioid use disorder and those without opioid use disorder diagnosis.

*

P<.05,

**

P<.01,

***

P<.001