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. 2023 Jan 18;14(1):37–44. doi: 10.1055/a-1975-4136

Table 1. Characteristics of participants in phase 1 ( N  = 70) .

Characteristic Value
Demographics
 Age, mean (SD) (years) 60 (7.4)
 Gender, female (%) 59
Race (%)
 Black or African American 67
 White 31
 Other 1.4
Highest education level (%)
 Less than high school 5.7
 High school 50
 College 40
 Graduate school 4.3
Medicaid (%) 16
Clinical features
 Body mass index, mean (SD) (kg/m 2 ) 36.2 (8.3)
 Estimated glomerular filtration rate, mean (SD) (mL/min) 89 (32)
Medical conditions according to the medical record (%)
 Alcohol 4.3
 Autonomic failure 24
 Cancer 21
 Coronary artery disease 7.1
 Heart failure 13
 Diabetic neuropathy 16
 Hypoglycemia in preceding 12 mo 23
 Infection in preceding 30 d 43
Hospital admission in preceding 30–365 d (%) 69
Medications for diabetes mellitus (%)
Insulin
 Long acting 60
 Other insulin 21
Sulfonylurea 36
Last A1c (%)
 ≤6.5 27
 > 6.5, <7 7.1
 ≥7, <8 24
 ≥8, <9 14
 ≥9 27
Survey questions
 Do you ever check your blood glucose (yes, %) 77
 Have you ever had a low blood glucose level (yes, %) 67
 Do you have a daily routine for meals (yes, %) 49
 Have you ever used the Internet (yes, %) 81
 Do you have Internet service at home (yes, %) 79
 Used a mobile phone more than once in the past week (%) 97
Worry or fear about low blood glucose (%)
Baseline: “In the past month, has this been a problem?”
 Not at all 47
 Very little 16
 Some 30
 A lot 7.1
After the monitoring period: “How has it changed in the past 2 weeks?”
 Worse 1.4
 Same 79
 Better 20