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. 2023 Dec 1;6(12):e2340232. doi: 10.1001/jamanetworkopen.2023.40232

Table 1. Baseline Characteristics of Enrolled Participants.

Characteristic Total (N = 32) Standard of care (n = 16) VBAI (n = 16)
Age, mean (SD), y 55.1 (12.7) 56.2 (13.5) 54.1 (12.3)
Gender, No. (%)
Female 19 (59.4) 10 (62.5) 9 (56.3)
Male 13 (40.6) 6 (37.5) 7 (43.8)
Race and ethnicity, No. (%)a
White 16 (50.0) 8 (50.0) 8 (50.0)
Asian 8 (25.0) 5 (31.3) 3 (18.8)
American Indian or Alaska Native 1 (3.1) 0 1 (6.3)
Black or African American 2 (6.3) 1 (6.3) 1 (6.3)
>1 Race 3 (9.4) 1 (6.3) 2 (12.5)
Unknown or not reported 2 (6.3) 1 (6.3) 1 (6.3)
Hispanic ethnicity, No. (%)a 8 (25.0) 5 (31.3) 3 (18.8)
HbA1c, mean (SD), % 9.6 (1.5) 9.3 (1.4) 9.9 (1.6)
PAID-5 score, mean (SD)b 7.5 (4.3) 6.5 (4.9) 8.4 (3.4)
Attitudes toward medication adherence score, mean (SD)b 13.8 (4.1) 13.6 (3.8) 14.0 (4.4)
Attitudes toward health technology score, mean (SD)b 6.9 (1.7) 6.6 (1.9) 7.1 (1.5)

Abbreviations: HbA1c, hemoglobin A1c; PAID-5, Problem Areas in Diabetes Questionnaire–5 item; VBAI, voice-based conversational artificial intelligence.

SI conversion factor: To convert HbA1c to proportion of total hemoglobin, multiply by 0.01.

a

Race and ethnicity were self-reported by the participant.

b

Survey items were scored from 0 to 4, and composite scores were calculated as the sum across all items.