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. 2003 Aug;18(8):624–633. doi: 10.1046/j.1525-1497.2003.31968.x

Table 3.

Regression Models Predicting General Communication and Diabetes-specific Communication

General Communication Diabetes-specific Communication
African-American* 10.4 8.5
95% CI 4.7 to 16.1 3.5 to 13.6
Hispanic* 0.8 −0.7
95% CI −7.6 to 9.2 −9.0 to 7.6
Other non-white race* 2.1 9.5
95% CI −3.9 to 8.1 4.1 to 14.8
Primarily Spanish-speaking 15.4 7.0
95% CI 6.2 to 24.6 −2.1 to 16.2
Female −2.7 0.9
95% CI −7.5 to 2.0 −4.8 to 6.5
Age 0.01 −0.2#
95% CI −0.2 to 0.2 −.4 to −0.07
Education −6.0 −3.8**
95% CI −9.3 to −2.8 −7.1 to −0.5
PCP is primary diabetes provider 7.4# 2.9
95% CI 2.2 to 12.6 −1.9 to 7.7
Female PCP 2.4 3.4
95% CI −1.6 to 6.5 −0.8 to 7.6
Length of PCP relationship§ 4.1 3.4
95% CI 2.4 to 5.8 1.6 to 5.3
VA clinics −0.9 15.4
95% CI −6.4 to 4.5 9.0 to 21.8
County clinics 3.1 10.6
95% CI −1.8 to 8.1 5.1 to 16.1
Adjusted R2 .13 .11

Note: Cell entries are β's from each multivariate ordinary least squares regression model and their 95% confidence intervals (95% CIs). Communication scores range from 0–100; higher scores indicate better communication. Each model controlled for the clustering of patients by primary care provider and the following clinical characteristics: insulin use, A1c, hypertension, history of myocardial infarction, and the number of diabetes complications.

*

Referent, white.

Referent, English or other primary language.

1 = less than high school degree, 2 = high school degree to some college, 3 = college degree or more.

§

1 = less than one year, 2 = one to less than two years, 3 = two to less than five years, 4 = five or more years.

Referent, university clinics.

P <.001.

#

.001 < P <.01.

**

.01 < P <.05.

PCP, primary care provider.