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. Author manuscript; available in PMC: 2020 Aug 25.
Published in final edited form as: Subst Use Misuse. 2019 Aug 25;54(14):2387–2399. doi: 10.1080/10826084.2019.1650775

Table 3.

Multilevel Logistic Regression on Opioid-related Hospital Stays: Observation Stay Records (N=12,621)

Observation Stay Related to
Opioid Use Disorder
OR (95% CI)
Zip-code Characteristics
Number of recreational marijuana dispensaries per square mile 2.50 (0.77, 8.06)
Number of medical marijuana dispensaries per square mile 0.43 (0.16, 1.16)
Number of DATA-2000 waivered providers per square mile 0.99 (0.91, 1.09)
Spatially Lagged Rates of Hospital Stays Related to Opioids 3.02* (1.02, 8.96)
Proportion of population under age 21 0.038* (0.0020-0.73)
Racial/ethnic composition
 Predominantly non-Hispanic white Ref
 Predominantly racial/ethnic minorities 0.92 (0.46, 1.83)
Median household income 1.01* (1.00, 1.02)
Number of tobacco and alcohol outlets per square mile 1.01* (1.00, 1.02)
Population density per square mile 1.00 (0.92, 1.08)
Individual Characteristics
Sex
 Male Ref
 Female 0.85 (0.67-1.10)
Age
 65+ Ref
 50-64 5.06*** (3.25, 7.89)
 35-49 5.84*** (3.56, 9.58)
 21-34 8.55*** (5.11, 14.31)
 12-20 0.42 (0.055, 3.13)
Race/ethnicity
 Non-Hispanic white Ref
 Hispanic 0.39* (0.19, 0.81)
 Non-Hispanic black 1.29 (0.67, 2.47)
 Other non-Hispanic minority 1.64* (1.08, 2.51)
 Unknown 0.33* (0.12, 0.91)
Primary payer for healthcare
 Private health insurance Ref
 Medicare 2.37*** (1.59, 3.55)
 Medicaid 2.93*** (2.13, 4.03)
 Other 0.80 (0.38, 1.70)

* p<.05; ** p<.01; *** p<.001; † Median household income was divided by 1000; ‡ Population density per square mile was divided by 1000. ORs and corresponding 95% CI were in bold if p<0.05. We used multilevel logistic regressions with random intercepts at zip code level.