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. 2023 May 19;2(5):e0000237. doi: 10.1371/journal.pdig.0000237

Table 6. Logistic Regression in Respondent Race/Ethnicity Subsets Predicting AI Provider Choice Versus Human Physician.

White Black Hispanic Asian Native
Illness Severity 0.97 (0.20) 1.05 (0.23) 1.01 (0.22) 0.78 (0.17) 0.97 (0.27)
Accuracy 1.76** (0.33) 1.42+ (0.28) 1.68* (0.36) 1.69* (0.37) 0.82 (0.22)
Incorporation 0.97 (0.18) 0.86 (0.17) 0.81 (0.17) 0.85 (0.18) 0.70 (0.18)
Established 1.16 (0.22) 0.91 (0.18) 1.57* (0.33) 1.63* (0.35) 1.15 (0.30)
Tailored 1.11 (0.21) 1.33 (0.27) 1.09 (0.23) 1.14 (0.25) 0.92 (0.24)
Listens 1.25 (0.24) 1.45+ (0.29) 1.22 (0.25) 1.10 (0.23) 1.48 (0.40)
Race Unbiased 1.10 (0.21) 1.17 (0.23) 1.49+ (0.32) 0.85 (0.18) 0.95 (0.25)
Financial Unbiased 0.90 (0.17) 1.11 (0.23) 1.15 (0.24) 1.13 (0.24) 1.86* (0.50)
Income 1.00 (0.03) 1.02 (0.04) 1.07+ (0.04) 1.03 (0.03) 0.96 (0.05)
Age 1.00 (0.01) 0.99 (0.01) 0.99 (0.01) 0.99 (0.01) 0.99 (0.01)
Conservative 0.58* (0.14) 0.82 (0.25) 0.69 (0.18) 0.55* (0.16) 0.60+ (0.18)
Religion Important 0.59** (0.12) 0.43*** (0.10) 0.79 (0.19) 0.66+ (0.15) 0.80 (0.24)
Sex 0.81 (0.16) 1.43+ (0.30) 1.44+ (0.32) 0.68+ (0.15) 0.75 (0.21)
Education 1.10 (0.08) 1.13+ (0.08) 1.15+ (0.09) 1.03 (0.09) 1.31* (0.15)
Married 1.00 (0.21) 0.74 (0.17) 1.14 (0.25) 0.75 (0.18) 1.48 (0.42)
Employed Fulltime 1.02 (0.22) 1.13 (0.26) 1.07 (0.25) 1.41 (0.34) 0.62 (0.21)
Good Health 1.27 (0.30) 1.07 (0.26) 0.55* (0.15) 1.04 (0.30) 1.13 (0.33)
Have Provider 1.01 (0.30) 1.65+ (0.46) 0.76 (0.21) 1.01 (0.30) 1.54 (0.64)
Trust Provider 0.94 (0.06) 0.94 (0.06) 0.94 (0.06) 1.02 (0.07) 0.97 (0.07)
Trust Hospital 0.92 (0.05) 0.99 (0.07) 0.98 (0.06) 0.83* (0.06) 0.99 (0.07)
Trust AI Companies 1.36*** (0.08) 1.20** (0.07) 1.36*** (0.08) 1.36*** (0.09) 1.34*** (0.09)
Order 1.05 (0.20) 1.17 (0.23) 1.01 (0.21) 1.50+ (0.32) 0.99 (0.27)
Illness Experience 1.12 (0.23) 1.41 (0.32) 0.74 (0.17) 1.29 (0.30) 1.28 (0.38)
N 542 479 442 437 298

Notes: Odds Ratios; Standard errors in parentheses

+ p < .10

* p < .05

** p < .01

*** p < .001. Income (16-point scale from less than $10,000 to more than $500,000), age (years), education (6-point scale from less than high school to graduate school), sex (1 = male, 0 = female). Likert-scales are coded as good health (1 = excellent/very good/good), religion viewed as important (1 = very/somewhat important), and conservative (very conservative/conservative).