. Author manuscript; available in PMC: 2014 Nov 24.

Published in final edited form as: J Prim Care Community Health. 2011 Nov 30;3(2):120–124. doi: 10.1177/2150131911420724

Table 2.

Random-Intercept Logistic Regression Models Evaluating Odds of Depression Screening Among Alaska Native and American Indian Male and Female Primary Care Patient by Patient and Provider Factors

	Men (n = 6718^a)			Women (n = 11 242^a)
	OR^b	CI^c	P	OR^b	CI^c	P
Patient factors
Age (reference, 18-34), y			<.001			<.001
35-54	1.3	1.2-1.5		1.1	1.0-1.2
55-97	1.1	1.0-1.3		0.9	0.8-1.0
At least one of 6 chronic conditions^d	1.4	1.2-1.6	<.001	1.2	1.1-1.4	<.001
No. of visits in year prior	1.6	1.4-1.7	<.001	1.8	1.7-1.9	<.001
Depression diagnosis in year prior	1.0	0.7-1.6	.933	1.5	1.2-1.9	.002
Substance abuse or dependence diagnosis in year prior	0.9	0.7-1.1	.238	1.0	0.8-1.2	.893
Antidepressant dispensed in year prior	1.3	0.8-1.9	.243	0.9	0.7-1.2	.513
Provider factors
Male provider	1.4	1.0-2.0	.040	1.3	0.9-1.7	.106
Provider tenure (reference less than 2), y			.014			.004
2-5	1.4	1.1-1.8		1.2	1.0-1.5
5-10	1.1	0.8-1.5		0.8	0.6-1.1
10-16	0.9	0.5-1.6		0.9	0.5-1.5

	Variation	CI^c	P	Variation	CI^c	P

Provider-level variation	0.20	0.11-0.37	<.001	0.17	0.10-0.29	<.001

There were 327 men and 338 women missing as no qualifying provider was seen over the study period.

Odds ratio (OR) comparing odds of being screened versus not being screened for depression.

The 95% confidence interval (CI).

Includes hypertension, heart disease, diabetes, liver disease, renal disease, and pulmonary disease.