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. 2019 Feb 19;34(6):899–907. doi: 10.1007/s11606-019-04859-1

Table 1.

Characteristics of the Study Participants

Characteristic
PATIENTS N = 25
  Age, years, mean (sd) 64.5 (8.9)
  Gender, female, N (%) 18 (72)
  Race, N (%)
   White 16 (64)
   Black 8 (32)
   Asian 0 (0)
   Missing 1 (4)
  Ethnicity, N (%)
   Hispanic 2 (8)
  Education
   8th grade or less 1 (4)
   Some high school 4 (16)
   High school graduate 6 (24)
   College graduate 5 (20)
   More than college education 8 (32)
   Missing 1 (4)
  Health insurance*
   Medicare 18 (72)
   Medicaid 8 (32)
   Private insurance 6 (24)
   Other insurance 1 (4)
   No insurance 0 (0)
  Chronic conditions†
   15 named conditions
    Hypertension 19 (76)
    Hyperlipidemia 14 (56)
    Diabetes 11 (44)
    Gastrointestinal reflux 9 (36)
    Osteoarthritis 9 (36)
    Coronary artery disease 6 (24)
    Depression 5 (20)
    Obesity 5 (20)
    Asthma 3 (12)
    Chronic kidney disease 3 (12)
    Osteoporosis 3 (12)
    Cerebrovascular disease 2 (8)
    Chronic obstructive pulmonary disease 2 (8)
    Atherosclerosis 1 (4)
    Migraine headaches 0 (0)
   Other‡
    Cancer 4 (16)
    Fibromyalgia 1 (4)
    Hemochromatosis 1 (4)
    Liver disease 1 (4)
    Multiple sclerosis 1 (4)
    Polycystic ovary syndrome 1 (4)
    Thyroid disease 1 (4)
    Valvular disease 1 (4)
  Self-reported health
   Excellent 3 (12)
   Very good 8 (32)
   Good 10 (40)
   Fair 3 (12)
   Poor 1 (4)
  Outpatient visits in past year, mean (sd) 12.0 (15.3)
  Outpatient providers in past year, mean (sd) 4.1 (2.5)
PROVIDERS N = 21
  Type of provider, N (%)
   Attending physician 17 (81)
   Nurse practitioner 4 (19)
  Years since graduation from medical or nursing school, mean (sd) 22.0 (12.3)
  Years at practice, mean (sd) 13.3 (11.9)
  Gender, female, N (%) 12 (57)
  Race, N (%)
   White 14 (66)
   Black 1 (5)
   Asian 6 (29)
  Ethnicity, N (%)
   Hispanic 2 (10)
  Half-days per week providing ambulatory care, mean (sd) 3.2 (2.2)
  Half-days per week supervising residents, mean (sd) 1.7 (1.2)

*Patients could have more than one type of health insurance

Patients could indicate as many chronic conditions as applied to them. Medical terms were accompanied by lay terms (such as “hyperlipidemia (high cholesterol)”)

“Other” conditions were written in as free text