Multivariate odds of a California ED visit having an asthma diagnosis (regression using 10× imputed dataset, i.e. n = 961,801,760)
Variable | AOR | 95% CI | p-value |
---|---|---|---|
Context | |||
Year of visit | |||
2005 (ref.) | |||
2006 | 0.85 | (0.85, 0.86) | < 0.0001 |
2007 | 0.86 | (0.86, 0.86) | < 0.0001 |
2008 | 0.89 | (0.89, 0.89) | < 0.0001 |
2009 | 0.97 | (0.96, 0.97) | < 0.0001 |
2010 | 1.06 | (1.06, 1.06) | < 0.0001 |
2011 | 1.12 | (1.12, 1.12) | < 0.0001 |
2012 | 1.16 | (1.15,1.16) | < 0.0001 |
2013 | 1.19 | (1.19, 1.19) | < 0.0001 |
2014 | 1.22 | (1.21, 1.22) | < 0.0001 |
Patient three-digit zip code | |||
Los Angeles (ref.) | |||
Richmond | 1.22 | (1.20, 1.24) | < 0.0001 |
Bakersfield | 1.21 | (1.19, 1.24) | < 0.0001 |
San Bernardino | 1.20 | (1.19, 1.22) | < 0.0001 |
Oakland | 1.17 | (1.16, 1.19) | < 0.0001 |
Palo Alto | 1.14 | (1.11, 1.17) | < 0.0001 |
Oakland vicinity | 1.11 | (1.09, 1.12) | < 0.0001 |
Ventura | 1.08 | (1.06, 1.11) | < 0.0001 |
Mojave | 1.08 | (1.06, 1.10) | < 0.0001 |
Sacramento | 1.07 | (1.05, 1.08) | < 0.0001 |
Fresno | 1.07 | (1.05, 1.09) | < 0.0001 |
Bakersfield vicinity | 1.06 | (1.04, 1.07) | < 0.0001 |
Berkeley | 1.05 | (1.03, 1.07) | < 0.0001 |
San Francisco | 1.05 | (1.03, 1.06) | < 0.0001 |
San Jose | 1.04 | (1.03, 1.06) | < 0.0001 |
San Bernardino vicinity | 1.04 | (1.03, 1.05) | < 0.0001 |
Stockton North | 1.04 | (1.02, 1.06) | < 0.0001 |
San Diego | 1.04 | (1.03, 1.05) | < 0.0001 |
San Francisco South | 1.03 | (1.02, 1.05) | < 0.0001 |
Long Beach | 1.03 | (1.01, 1.04) | < 0.0001 |
Inglewood | 1.02 | (1.01, 1.04) | 0.0041 |
Eureka | 1.02 | (0.99, 1.06) | 0.195 |
Van Nuys | 1.02 | (1.00, 1.03) | 0.0526 |
San Diego South | 1.02 | (1.00, 1.03) | 0.0529 |
Santa Barbara | 1.01 | (0.98, 1.05) | 0.4907 |
San Mateo | 1.01 | (0.98, 1.03) | 0.5338 |
San Rafael | 1.01 | (0.99, 1.03) | 0.4707 |
Sacramento vicinity 1 | 1.01 | (1.00, 1.02) | 0.2251 |
Van Nuys vicinity | 1.00 | (0.99, 1.01) | 0.7977 |
Sacramento east/vicinity 2 | 1.00 | (0.98, 1.02) | 0.9604 |
Riverside | 1.00 | (0.99, 1.01) | 0.7456 |
Santa Monica | 1.00 | (0.97, 1.02) | 0.8119 |
Pasadena | 0.99 | (0.97, 1.01) | 0.521 |
Alhambra vicinity | 0.99 | (0.98, 1.00) | 0.0147 |
Stockton South | 0.99 | (0.97, 1.00) | 0.0955 |
Hollywood | 0.98 | (0.96, 1.00) | 0.0292 |
San Jose vicinity | 0.98 | (0.97, 1.00) | 0.014 |
Pasadena vicinity | 0.98 | (0.96, 1.00) | 0.0219 |
Indio | 0.97 | (0.96, 0.99) | 0.0014 |
Whittier | 0.97 | (0.96, 0.98) | < 0.0001 |
Burbank | 0.97 | (0.94, 0.99) | 0.0078 |
Long Beach vicinity | 0.96 | (0.95, 0.98) | < 0.0001 |
Redding | 0.96 | (0.94, 0.99) | 0.0118 |
San Diego North | 0.96 | (0.95, 0.98) | < 0.0001 |
Alhambra | 0.96 | (0.93, 0.99) | 0.0062 |
Santa Rosa | 0.95 | (0.93, 0.97) | < 0.0001 |
Marysville | 0.95 | (0.93, 0.97) | < 0.0001 |
Inglewood vicinity | 0.95 | (0.94, 0.96) | < 0.0001 |
Reno (NV) | 0.95 | (0.91, 0.98) | 0.0041 |
Fresno vicinity | 0.95 | (0.93, 0.96) | < 0.0001 |
Salinas | 0.92 | (0.89, 0.95) | < 0.0001 |
San Luis Obispo | 0.92 | (0.89, 0.95) | < 0.0001 |
Outside of California | 0.92 | (0.91, 0.93) | < 0.0001 |
Torrance | 0.90 | (0.88, 0.92) | < 0.0001 |
Anaheim | 0.89 | (0.88, 0.90) | < 0.0001 |
Santa Ana vicinity | 0.86 | (0.85, 0.87) | < 0.0001 |
Glendale | 0.85 | (0.84, 0.87) | < 0.0001 |
Santa Ana | 0.83 | (0.82, 0.84) | < 0.0001 |
Homeless/unknown | 0.79 | (0.78, 0.79) | < 0.0001 |
Hospital control | |||
Government | 1.08 | (1.07, 1.10) | < 0.0001 |
For-Profit | 0.94 | (0.93, 0.94) | < 0.0001 |
Non-Profit (ref.) | |||
Hospital teaching/location | |||
Urban, non-teaching (ref.) | |||
Rural, non-teaching | 0.88 | (0.87, 0.89) | < 0.0001 |
Urban, teaching | 1.21 | (1.20, 1.22) | < 0.0001 |
Hospital licensed bed size | |||
1 to 49 beds | 0.65 | (0.63, 0.66) | < 0.0001 |
50 to 99 beds | 0.98 | (0.97, 0.99) | < 0.0001 |
100 to 149 beds | 1.14 | (1.13, 1.15) | < 0.0001 |
150 to 199 beds | 1.27 | (1.26, 1.28) | < 0.0001 |
200 to 299 beds | 1.11 | (1.10, 1.12) | < 0.0001 |
300 to 499 beds | 0.95 | (0.94, 0.96) | < 0.0001 |
500+ beds (ref.) | |||
Hospital system status | |||
In system of 3+ hospitals | 1.15 | (1.15, 1.16) | < 0.0001 |
Not in a system (ref.) | |||
DSH status | |||
DSH hospital | 1.01 | (1.00, 1.01) | 0.0001 |
Non-DSH hospital (ref.) | |||
Hospital Kaiser Permanente status | |||
Non-Kaiser (ref.) | |||
Kaiser | 1.14 | (1.11, 1.17) | < 0.0001 |
Pre-disposing | |||
Sex | |||
Male | 0.98 | (0.98, 0.99) | < 0.0001 |
Female (ref.) | |||
Age group | |||
0 to 17 years | 0.80 | (0.80, 0.81) | < 0.0001 |
18 to 64 years (ref.) | |||
65 years and greater | 1.00 | (1.00, 1.00) | 0.7542 |
Race | |||
White (ref.) | |||
Non-White | 1.04 | (1.04, 1.05) | < 0.0001 |
Ethnicity | |||
Hispanic | 0.95 | (0.95, 0.95) | < 0.0001 |
Non-Hispanic (ref.) | |||
Predisposing-vulnerable domain (any versus no diagnosis) | |||
Anxiety disorders | 1.14 | (1.14, 1.15) | < 0.0001 |
Attention-deficit, conduct, and disruptive behavior disorders | 1.41 | (1.40, 1.42) | < 0.0001 |
Mood disorders | 1.37 | (1.36, 1.37) | < 0.0001 |
Schizophrenia and other psychotic disorders | 0.96 | (0.96, 0.97) | < 0.0001 |
Suicide and intentional self-inflicted injury | 0.72 | (0.71, 0.72) | < 0.0001 |
Enabling | |||
Payer source | |||
Self-pay | 0.87 | (0.86, 0.87) | < 0.0001 |
Medicare | 0.98 | (0.98, 0.99) | < 0.0001 |
Medicaid | 1.31 | (1.31, 1.31) | < 0.0001 |
Private insurance (ref.) | |||
Other government | 0.76 | (0.75, 0.76) | < 0.0001 |
Other | 1.15 | (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