You are viewing the site in preview mode

Skip to main content

Advertisement

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)