Multivariate odds of a California ED visit having an asthma diagnosis (regression using 10× imputed dataset, i.e. n = 961,801,760)

VariableAOR95% CIp-value
Context
Year of visit
        2005 (ref.)
        20060.85(0.85, 0.86)< 0.0001
        20070.86(0.86, 0.86)< 0.0001
        20080.89(0.89, 0.89)< 0.0001
        20090.97(0.96, 0.97)< 0.0001
        20101.06(1.06, 1.06)< 0.0001
        20111.12(1.12, 1.12)< 0.0001
        20121.16(1.15,1.16)< 0.0001
        20131.19(1.19, 1.19)< 0.0001
        20141.22(1.21, 1.22)< 0.0001
Patient three-digit zip code
        Los Angeles (ref.)
        Richmond1.22(1.20, 1.24)< 0.0001
        Bakersfield1.21(1.19, 1.24)< 0.0001
        San Bernardino1.20(1.19, 1.22)< 0.0001
        Oakland1.17(1.16, 1.19)< 0.0001
        Palo Alto1.14(1.11, 1.17)< 0.0001
        Oakland vicinity1.11(1.09, 1.12)< 0.0001
        Ventura1.08(1.06, 1.11)< 0.0001
        Mojave1.08(1.06, 1.10)< 0.0001
        Sacramento1.07(1.05, 1.08)< 0.0001
        Fresno1.07(1.05, 1.09)< 0.0001
        Bakersfield vicinity1.06(1.04, 1.07)< 0.0001
        Berkeley1.05(1.03, 1.07)< 0.0001
        San Francisco1.05(1.03, 1.06)< 0.0001
        San Jose1.04(1.03, 1.06)< 0.0001
        San Bernardino vicinity1.04(1.03, 1.05)< 0.0001
        Stockton North1.04(1.02, 1.06)< 0.0001
        San Diego1.04(1.03, 1.05)< 0.0001
        San Francisco South1.03(1.02, 1.05)< 0.0001
        Long Beach1.03(1.01, 1.04)< 0.0001
        Inglewood1.02(1.01, 1.04)0.0041
        Eureka1.02(0.99, 1.06)0.195
        Van Nuys1.02(1.00, 1.03)0.0526
        San Diego South1.02(1.00, 1.03)0.0529
        Santa Barbara1.01(0.98, 1.05)0.4907
        San Mateo1.01(0.98, 1.03)0.5338
        San Rafael1.01(0.99, 1.03)0.4707
        Sacramento vicinity 11.01(1.00, 1.02)0.2251
        Van Nuys vicinity1.00(0.99, 1.01)0.7977
        Sacramento east/vicinity 21.00(0.98, 1.02)0.9604
        Riverside1.00(0.99, 1.01)0.7456
        Santa Monica1.00(0.97, 1.02)0.8119
        Pasadena0.99(0.97, 1.01)0.521
        Alhambra vicinity0.99(0.98, 1.00)0.0147
        Stockton South0.99(0.97, 1.00)0.0955
        Hollywood0.98(0.96, 1.00)0.0292
        San Jose vicinity0.98(0.97, 1.00)0.014
        Pasadena vicinity0.98(0.96, 1.00)0.0219
        Indio0.97(0.96, 0.99)0.0014
        Whittier0.97(0.96, 0.98)< 0.0001
        Burbank0.97(0.94, 0.99)0.0078
        Long Beach vicinity0.96(0.95, 0.98)< 0.0001
        Redding0.96(0.94, 0.99)0.0118
        San Diego North0.96(0.95, 0.98)< 0.0001
        Alhambra0.96(0.93, 0.99)0.0062
        Santa Rosa0.95(0.93, 0.97)< 0.0001
        Marysville0.95(0.93, 0.97)< 0.0001
        Inglewood vicinity0.95(0.94, 0.96)< 0.0001
        Reno (NV)0.95(0.91, 0.98)0.0041
        Fresno vicinity0.95(0.93, 0.96)< 0.0001
        Salinas0.92(0.89, 0.95)< 0.0001
        San Luis Obispo0.92(0.89, 0.95)< 0.0001
        Outside of California0.92(0.91, 0.93)< 0.0001
        Torrance0.90(0.88, 0.92)< 0.0001
        Anaheim0.89(0.88, 0.90)< 0.0001
        Santa Ana vicinity0.86(0.85, 0.87)< 0.0001
        Glendale0.85(0.84, 0.87)< 0.0001
        Santa Ana0.83(0.82, 0.84)< 0.0001
        Homeless/unknown0.79(0.78, 0.79)< 0.0001
Hospital control
        Government1.08(1.07, 1.10)< 0.0001
        For-Profit0.94(0.93, 0.94)< 0.0001
        Non-Profit (ref.)
Hospital teaching/location
        Urban, non-teaching (ref.)
        Rural, non-teaching0.88(0.87, 0.89)< 0.0001
        Urban, teaching1.21(1.20, 1.22)< 0.0001
Hospital licensed bed size
        1 to 49 beds0.65(0.63, 0.66)< 0.0001
        50 to 99 beds0.98(0.97, 0.99)< 0.0001
        100 to 149 beds1.14(1.13, 1.15)< 0.0001
        150 to 199 beds1.27(1.26, 1.28)< 0.0001
        200 to 299 beds1.11(1.10, 1.12)< 0.0001
        300 to 499 beds0.95(0.94, 0.96)< 0.0001
        500+ beds (ref.)
Hospital system status
        In system of 3+ hospitals1.15(1.15, 1.16)< 0.0001
        Not in a system (ref.)
DSH status    
        DSH hospital1.01(1.00, 1.01)0.0001
        Non-DSH hospital (ref.)
Hospital Kaiser Permanente status    
        Non-Kaiser (ref.)
        Kaiser1.14(1.11, 1.17)< 0.0001
Pre-disposing
Sex    
        Male0.98(0.98, 0.99)< 0.0001
        Female (ref.)
Age group
        0 to 17 years0.80(0.80, 0.81)< 0.0001
        18 to 64 years (ref.)
        65 years and greater1.00(1.00, 1.00)0.7542
Race
        White (ref.)
        Non-White1.04(1.04, 1.05)< 0.0001
Ethnicity
        Hispanic0.95(0.95, 0.95)< 0.0001
        Non-Hispanic (ref.)
Predisposing-vulnerable domain (any versus no diagnosis)    
        Anxiety disorders1.14(1.14, 1.15)< 0.0001
        Attention-deficit, conduct, and disruptive behavior disorders1.41(1.40, 1.42)< 0.0001
        Mood disorders1.37(1.36, 1.37)< 0.0001
        Schizophrenia and other psychotic disorders0.96(0.96, 0.97)< 0.0001
        Suicide and intentional self-inflicted injury0.72(0.71, 0.72)< 0.0001
Enabling
Payer source
        Self-pay0.87(0.86, 0.87)< 0.0001
        Medicare0.98(0.98, 0.99)< 0.0001
        Medicaid1.31(1.31, 1.31)< 0.0001
        Private insurance (ref.)
        Other government0.76(0.75, 0.76)< 0.0001
        Other1.15(1.14, 1.15)< 0.0001

Regression using 10× imputed dataset, i.e. n = 961,801,760. The model also includes dummy variables to represent 349 unique hospitals. AOR: adjusted odds ratio; DSH: Disproportionate Share Hospital; CI: confidence interval