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Table 1 Baseline sociodemographic and medical characteristics of health plan members receiving a language-concordant automated telephone self-management / health coaching diabetes intervention (N = 210)

From: Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims

Characteristic

Age in years, mean (SD)

56.0 (6.8)

Women, n (%)

157 (74.8)

Race/ethnicity, n (%)

 Latino

44 (20.1)

 Black / African-American

12 (5.7)

 Asian / Pacific Islander

135 (64.3)

 White / Caucasian

14 (6.7)

 Multi-Ethnic / Other

5 (2.4)

Born outside the U.S., n (%)

23 (11.0)

Language, n (%)

 Cantonese-speaking

120 (57.1)

 Spanish-speaking

39 (18.6)

Language-concordant primary care provider

55 (34.6)

Educational attainment, n (%)

 8th grade education or less

90 (42.9)

 Some high school

21 (10.0)

 High school graduate or GED

49 (23.3)

 College graduate or above

50 (23.8)

Limited health literacy, n (%)

97 (46.4)

Employment status, n (%)

 Employed full-time

51 (24.3)

 Part-time

98 (46.7)

 Unemployed

24 (11.4)

 Disabled

14 (6.7)

 Homemaker / Retired / Other

23 (11.0)

Annual household income, n (%)

  ≤ $20,000

124 (62.6)

 $20,001–30,000

38 (19.2)

  > $30,000

36 (18.2)

Insurance type, n (%)

 Medicaid

44 (21.0)

 Uninsured/Commercial

2 (1.0)

 Healthy Worker/Healthy San Francisco

164 (78.1)

Years diagnosed with diabetes, mean (SD)

7.1 (5.5)

Insulin treatment, n (%)

43 (20.5)

Hemoglobin A1c > 8.0%, n (%)

51 (25.5)

Hemoglobin A1c, mean (SD)

7.7 (1.5)

Systolic blood pressure, mean mm Hg (SD)

126.2 (16.3)

Low-density lipoprotein, mean mg/dL (SD)

87.3 (26.8)