Table 1.

The effect of demographic and socioeconomic patient characteristics on the NLP algorithm’s surgical candidacy scores.

	Individual Effect on NLP Score (95% CI)	P-Value	Adjusted Effect on NLP Score (95% CI)	P-Value*
Race
White (N = 3,064)	Reference	Reference	Reference	Reference
African American (N = 558)	−0.10 (−0.16, −0.04)	0.001	0.03 (−0.03, 0.09)	0.36
Other (N = 154)	−0.03 (−0.13, 0.08)	0.62	−0.01 (−0.11, 0.10)	0.92
Distance from CCHMC
0-25 miles (N = 1,920)	Reference	Reference	Reference	Reference
26-50 miles (N = 608)	0.16 (0.10, 0.22)	<0.001	0.18 (0.12, 0.25)	<0.001
51-100 miles (N = 641)	0.20 (0.14, 0.26)	<0.001	0.25 (0.19, 0.31)	<0.001
Over 100 miles (N = 607)	0.30 (0.25, 0.36)	<0.001	0.37 (0.31, 0.44)	<0.001
Age
0-4 years old (N = 614)	Reference	Reference	Reference	Reference
5-9 years old (N = 924)	0.02 (−0.05, 0.09)	0.56	0.02 (−0.04, 0.09)	0.52
10-14 years old (N = 928)	0.00 (−0.06, 0.07)	0.90	0.01 (−0.05, 0.08)	0.71
15-17 years old (N = 558)	0.03 (−0.04, 0.11)	0.43	0.06 (−0.02, 0.13)	0.12
>18 years old (N = 752)	0.22 (0.15, 0.29)	<0.001	0.24 (0.17, 0.31)	<0.001
Gender
Male (N = 2,029)	Reference	Reference	Reference	Reference
Female (N = 1,747)	0.02 (−0.02, 0.06)	0.42	0.01 (−0.03, 0.05)	0.53
Language
English (N = 3,703)	Reference	Reference	Reference	Reference
Non-English (N = 73)	−0.01 (−0.16, 0.14)	0.89	0.03 (−0.13, 0.19)	0.72
Insurance
Private (N = 1,875)	Reference	Reference	Reference	Reference
Public (N = 1,697)	0.03 (−0.01, 0.07)	0.20	0.06 (0.02, 0.11)	0.01
Self-Pay (N= 150)	−0.05 (−0.16, 0.06)	0.39	−0.04 (−0.15, 0.07)	0.43
Other (N = 51)	0.01 (−0.17, 0.19)	0.91	0.01 (−0.16, 0.19)	0.87
Median Household Income (N = 3,776)	0.004 per $10,000 (−0.007, 0.02)	0.43	0.03 per $10,000 (0.02, 0.06)	<0.001

^*Adjusted p-values from the multiple linear regression.

NLP: natural language processing; CI: confidence interval; and CCHMC: Cincinnati Hospital Children’s Medical Center.