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. 2025 Sep 5;13:e69216. doi: 10.2196/69216

Table 1. Demographic characteristics and their unadjusted associations with the identification of a transportation need by a natural language processing algorithm.

Characteristics Total, n (%) Transportation need identified, n (%) No transportation need identified, n (%) Odds ratio (95% CI) P value
Age (years) <.001
 18 to <60 59,219 (50.0) 204 (28.1) 59,015 (50.1) Reference
 60 to <70 28,434 (24.0) 179 (24.7) 28,255 (24.0) 1.83 (1.50-2.24)
 70 to <80 19,903 (16.8) 218 (30.0) 19,685 (16.7) 3.20 (2.65-3.88)
 >80 10,962 (9.2) 125 (17.2) 10,837 (9.2) 3.34 (2.66-4.17)
Sex .11
 Female 68,485 (57.8) 441 (60.7) 68,044 (57.8) 1.13 (0.97-1.31)
 Male 50,032 (42.2) 285 (39.3) 49,747 (42.2) Reference
Race <.001
 Asian 5041 (4.3) 1 (0.1) 5040 (4.3) 0.03 (0-0.13)
 Black 17,594 (14.8) 104 (14.3) 17,490 (14.8) 0.88 (0.71-1.07)
 Native American and Alaska Native 300 (0.3) 2 (0.3) 298 (0.3) 0.99 (0.16-3.08)
 Pacific Islander 147 (0.1) 1 (0.1) 146 (0.1) 1.01 (0.06-4.50)
 White 90,699 (76.5) 612 (84.3) 90,087 (76.5) Reference
 Declined or missing 4737 (4.0) 6 (0.8) 4731 (4.0) N/Aa
Ethnicity .01
 Non-Hispanic or Latino 108,402 (91.5) 4731 (4.0) 107,707 (91.4) 4.99 (1.61-30.05)
 Hispanic or Latino 1548 (1.3) 2 (0.3) 1546 (1.3) Reference
 Declined or missing 8568 (7.2) 29 (4.0) 8539 (7.2) N/A
a

N/A: not applicable.