Table 3.

Simple and multiple logistic regression of the time from abnormal screening result to diagnostic resolution among patients receiving and not receiving patient navigation

	30-day cutoff		60-day cutoff
Variable	Simplea (n=2338) OR (95% CI)	Multipleb (n=1842) OR (95% CI)	Simplea (n=2338) OR (95% CI)	Multipleb (n=1842) OR (95% CI)
Navigation Group	---	---	---	---
Navigated	REF	---	REF	REF
Non-navigated	1.78 (1.39, 2.29)	---	0.98 (0.76, 1.27)	0.96 (0.72, 1.30)
Race/Ethnicity	---	---	---	---
Non-Hispanic White	REF	REF	REF	REF
Non-Hispanic Black	2.52 (1.76, 3.60)	2.30 (1.59, 3.32)	1.59(1.06, 2.40)	1.47 (0.97, 2.24)
Hispanic	4.39 (2.73, 7.06)	3.41 (2.04, 5.69)	1.88 (1.19, 2.98)	1.73 (1.06, 2.83)
Type of Insurance	---	---	---	---
Private	REF	---	REF	REF
Government	1.48 (1.16, 1.88)	---	1.25 (0.98, 1.60)	1.17 (0.89, 1.52)
None	1.73 (1.23, 2.43)	---	1.65 (1.25, 2.18)	1.34 (0.95, 1.89)
Age Group	---	---	---	---
<40	REF	REF	REF	REF
40-49	1.96 (1.44, 2.66)	1.56(1.08, 2.26)	1.61 (1.19, 2.16)	1.45 (1.01, 2.06)
50-59	1.56 (1.13, 2.14)	1.42 (0.97, 2.08)	1.46 (1.07, 2.00)	1.43 (0.99, 2.07)
≥60	1.59 (1.15, 2.20)	1.37 (0.93, 2.01)	1.16(0.83, 1.61)	1.09 (0.74, 1.60)
Group*Insurance	---	---	---	---
Private
Non-navigated vs Navigated	NA	1.65 (1.17, 2.33)	NA	NA
Government
Non-navigated vs Navigated	NA	1.25 (0.81, 1.94)	NA	NA
None
Non-navigated vs Navigated	NA	5.41 (2.32, 12.61)	NA	NA

^aEach simple logistic regression model includes one variable listed and study site as fixed-effects.

^bThe multiple logistic regression model includes all variables listed and study site as fixed-effects.