Table 4.
Patient- and Provider-level predictors of screening completion in Asian patients by cancer screening type
| Cervical Cancer Screening (N=39,845) | Mammography Screening (N=11,268) | Colorectal Cancer Screening (N=20,793) | ||||
|---|---|---|---|---|---|---|
| N1 | OR (95% CI)2 | N1 | OR (95% CI)2 | N1 | OR (95% CI)2 | |
| Patient characteristics | ||||||
| Sex | ||||||
| Male | - | - | - | - | 9363 | 1.00 |
| Female | - | - | - | - | 11430 | 0.88 (0.83, 0.95) |
| Age (per year) | 1.03 (1.02, 1.03) | 0.99 (0.98, 0.99) | 1.04 (1.04, 1.05) | |||
| Race/Ethnicity | ||||||
| Chinese | 13553 | 1.00 | 5196 | 1.00 | 9492 | 1.00 |
| Asian Indian | 16826 | 0.66 (0.62, 0.71) | 2030 | 0.53 (0.47, 0.60) | 4693 | 0.37 (0.34, 0.40) |
| Filipino | 4780 | 0.96 (0.84, 1.10) | 2082 | 1.27 (1.07, 1.50) | 3309 | 0.96 (0.85, 1.08) |
| Japanese | 1680 | 0.91 (0.83, 0.99) | 1114 | 0.72 (0.64, 0.82) | 1833 | 0.60 (0.55, 0.66) |
| Korean | 1471 | 0.88 (0.77, 1.01) | 339 | 0.78 (0.60, 1.02) | 554 | 0.92 (0.76, 1.11) |
| Vietnamese | 1045 | 1.14 (0.96, 1.34) | 309 | 1.54 (1.12, 2.12) | 550 | 0.99 (0.82, 1.21) |
| Native Hawaiian, Pacific Islander | 490 | 0.57 (0.46, 0.70) | 198 | 0.53 (0.39, 0.74) | 362 | 0.48 (0.38, 0.60) |
| Enrolled in “My health online” | ||||||
| No | 25189 | 1.00 | 7530 | 1.00 | 13807 | 1.00 |
| Yes | 14656 | 1.31 (1.24, 1.37) | 3738 | 1.32 (1.20, 1.46) | 6986 | 1.04 (0.98, 1.11) |
| Primary language | ||||||
| English | 34211 | 1.00 | 9116 | 1.00 | 17201 | 1.00 |
| Not English, physician-patient concordant | 1075 | 0.94 (0.79, 1.12) | 339 | 0.86 (0.64, 1.15) | 711 | 0.94 (0.77, 1.15) |
| Not English, physician-patient discordant | 4559 | 1.02 (0.94, 1.10) | 1753 | 0.81 (0.71, 0.92) | 2881 | 0.79 (0.72, 0.87) |
| Patient requires an interpreter | ||||||
| No | 39288 | 1.00 | 10884 | 1.00 | 20147 | 1.00 |
| Yes | 557 | 0.81 (0.66, 1.01) | 384 | 0.97 (0.74, 1.27) | 646 | 0.79 (0.65, 0.95) |
| PCP visits in past 2 years (per visit) | 1.13 (1.12, 1.14) | 1.22 (1.20, 1.25) | 20793 | 1.14 (1.12, 1.15) | ||
| Provider characteristics | ||||||
| Sex | ||||||
| Male | 5817 | 1.00 | 2417 | 1.00 | 8732 | 1.00 |
| Female | 34028 | 1.66 (1.51, 1.82) | 8851 | 1.16 (1.00, 1.34) | 12061 | 1.05 (0.91, 1.21) |
| Degree | ||||||
| DO or NP/PA | 2970 | 1.00 | 523 | 1.00 | 872 | 1.00 |
| MD | 36875 | 0.97 (0.83, 1.13) | 10745 | 0.93 (0.69, 1.24) | 19921 | 1.02 (0.76, 1.36) |
| Specialty | ||||||
| Family med | 22149 | 1.00 | 5470 | 1.00 | 10087 | 1.00 |
| Internal med | 17696 | 1.09 (1.01, 1.18) | 5798 | 1.05 (0.92, 1.19) | 10706 | 1.23 (1.07, 1.40) |
| Any Asian language capability | ||||||
| No | 32430 | 1.00 | 9473 | 1.00 | 17410 | 1.00 |
| Yes | 7415 | 0.95 (0.85, 1.08) | 1795 | 0.96 (0.78, 1.17) | 3383 | 0.84 (0.67, 1.05) |
| Intra-class Correlation Coefficient | 0.014 | 0.033 | 0.061 | |||
1
Sample sizes (count of patients) provided for categorical variables only.
2
Odds ratios generated using hierarchical multivariable logistic models with random intercept by provider and fixed effects at the provider-level (sex, degree, specialty, Asian language capability) and patient-level (sex, age, detailed race/ethnicity, enrolled in myhealthonline, primary language concordance with provider, use of interpreter, PCP visits in the past 2 years).