Table 2. Baseline Characteristics of the Provider and Patient Participants
Characteristics*InterventionControl
Providersn = 10n = 11
    Age, years49.2 (7.6)47.4 (8.6)
    Female sex (n)68
    Ethnicity (n)
        White810
        Hispanic12
    Specialty (n)
        Internal medicine32
        Family medicine46
        Nurse practitioner22
        Physician's assistant11
    Years in practice16.8 (8.6)17.5 (8.8)
    Previous MI training (hours)1.1 (3.3)0.5 (0.8)
Patients§n = 85n = 86
    Clusters (n)1011
    Age, years51.5 (7.9)45.3 (7.3)
    Female sex, %62.0 (31.1)67.8 (24.5)
    Race/ethnicity, %
        Non-Hispanic white17.6 (13.7)26.0 (14.6)
        Non-Hispanic black32.6 (34.8)43.2 (23.9)
        Hispanic38.2 (31.4)25.2 (26.4)
        Other11.7 (9.8)5.6 (7.7)
    Insurance, %
        Uninsured34.5 (20.3)46.4 (24.6)
        Private2.9 (7.1)2.7 (4.3)
        Public62.5 (21.9)49.8 (22.1)
    Household income <$10,000, %48.0 (20.7)51.7 (23.5)
    Employed39.9 (23.9)47.6 (14.1)
    Body mass index (kg/m2)31.5 (3.9)32.9 (3.3)
    Physical comorbidities2.3 (0.8)2.1 (1.0)
    PHQ-9 score15.6 (2.4)15.9 (1.8)
  • Data are mean (standard deviation) of participants unless stated otherwise.

  • * The number of participating primary care physicians (PCPs) was distributed as follows: 2 clinics with 1 PCP, 1 with 2 PCPs, 3 with 4 PCPs, and 1 with 5 PCPs.

  • Motivational interviewing with standard management of depression training.

  • Standard management of depression training alone.

  • § Patient characteristics were analyzed by cluster. Data provided are per cluster.

  • Comorbid categories were derived from abstracting the electronic medical record of up to 8 common chronic diseases in the patient problem list, including arthritis, asthma, chronic pain, congestive heart failure, chronic obstructive pulmonary disease, coronary heart disease, diabetes, and obesity (body mass index ≥30 kg/m2).

  • PHQ-9, 9-item Patient Health Questionnaire.