Table 3.
Univariate and multivariable analyses of asthma outcomes among pediatric asthma patients from Hospital System A, Ohio, 2011–2015.
| No | % | Yes | % | Unadjusted odds | 95% CI | Adjusted odds | 95% CI | |
|---|---|---|---|---|---|---|---|---|
| PFT (N = 11583)a | ||||||||
| English-only | 9242 | (92) | 797 | (8) | 1.0 | [Reference] | 1.0 | [Reference] |
| Bilingual | 546 | (89) | 70 | (11) | 1.5 | (1.1,1.9)b | 1.3 | (1.0,1.6) |
| LEP | 835 | (90) | 93 | (10) | 1.3 | (1.0,1.6)b | 0.9 | (0.7,1.1) |
| 30-day follow-up (N = 5348)a | ||||||||
| English-only | 2064 | (48) | 2271 | (52) | 1.0 | [Reference] | 1.0 | [Reference] |
| Bilingual | 152 | (35) | 288 | (65) | 1.8 | (1.4,2.2)b | 1.6 | (1.3,2.1)b |
| LEP | 167 | (29) | 406 | (71) | 2.2 | (1.9,2.7)b | 1.8 | (1.4,2.3)b |
| Exacerbation (N = 18 243)c | ||||||||
| English-only | 11 017 | (72) | 4335 | (28) | 1.0 | [Reference] | 1.0 | [Reference] |
| Bilingual | 707 | (62) | 440 | (38) | 1.6 | (1.4,1.8)b | 1.4 | (1.2,1.6)b |
| LEP | 1171 | (67) | 573 | (33) | 1.2 | (1.1,1.4)b | 1.1 | (1.0,1.3) |
| Multiple visits (N = 5348)c | ||||||||
| English-only | 3299 | (77) | 995 | (23) | 1.0 | [Reference] | 1.0 | [Reference] |
| Bilingual | 344 | (79) | 91 | (21) | 0.9 | (0.7,1.1) | 0.9 | (0.7,1.2) |
| LEP | 447 | (79) | 121 | (21) | 0.9 | (0.7,1.1) | 1.0 | (0.7,1.2) |
| PICU admission (N = 5348)d | ||||||||
| English-only | 4098 | (95) | 237 | (5) | 1.0 | [Reference] | 1.0 | [Reference] |
| Bilingual | 432 | (98) | 8 | (2) | 0.3 | (0.2,0.7)b | 0.3 | (0.2,0.7)b |
| LEP | 546 | (95) | 27 | (5) | 0.9 | (0.6,1.3) | 0.8 | (0.5,1.4) |
CI = confidence interval; LEP = limited English proficiency; PFT = pulmonary function test; PICU = pediatric intensive care unit
a
adjusted for age, race/ethnicity, insurer, income (ZIP-code level), education (ZIP-code level), and unemployment (ZIP-code level)
b
significant at 0.05 level
c
adjusted for age, race/ethnicity, insurer, income (ZIP-code level), education (ZIP-code level), unemployment (ZIP-code level), and tobacco exposure
d
adjusted for age, race/ethnicity, insurer, and tobacco exposure