Table 1.

Baseline demographics of the 81 individuals in the user experience analysis^a

					P comparing groups
	All participants	IBP Lower	IBP Similar	IBP Higher	Lower vs. similar	Similar vs. higher	Lower vs. higher
N	81	25	34	22
Age, y	57 (16.4)	54 (16.4)	57 (17.8)	62 (13.4)	0.45	0.26	0.06
BMI, kg/m2	27 (6.4)	26 (6.2)	28 (6.8)	28 (6.3)	0.50	0.72	0.33
Male sex, %	54	44	59	59	0.03	>0.99	0.03
Has a smartphone, %	84	80	91	77	0.03	0.01	0.61
Has an mHealth app, %	44	60	39	35	0.13	0.81	0.13
Hypertension, %	57	60	50	64	0.16	0.05	0.56
On an antihypertensive, %	91	87	88	100	0.89	0.18	0.16
Measures BP monthly or more outside of the doctors office, %	52	52	53	50	0.89	0.67	0.78
White race, %	63	60	71	55	0.10	0.02	0.47
Hispanic ethnicity, %	5	4	9	0	0.15	<0.01	0.04
College education, %	81	88	71	91	< 0.01	<0.001	0.49
Participant’s self-estimation of their own BP
Systolic, mm Hg	126 (15)	138 (12)	126 (11)	114 (14)	< 0.001	<0.01	<0.001
Diastolic, mm Hg	74 (10)	76 (11)	76 (9)	69 (9)	0.92	0.01	0.03
IBP BP measurement
Systolic, mm Hg	125 (12)	120 (11)	125 (10)	132 (13)	0.06	0.04	<0.01
Diastolic, mm Hg	77 (6)	76 (6)	78 (6)	78 (6)	0.25	0.77	0.19
Difference, IBP BP measurement minus self-estimation
Systolic, mm Hg	−1 (15)	−18 (6)	0 (6)	18 (7)	<0.001	<0.001	<0.001
Diastolic, mm Hg	3 (9)	0 (11)	2 (8)	9 (7)	0.542	0.001	0.002

^aPresented as mean (SD) for continuous variables and proportions for dichotomous variables. IBP Lower had IBP systolic BP > 10 mm Hg below the participant’s self-estimation of their own BP, IBP Similar had IBP systolic BP within 10 mm Hg of the participant’s self-estimation, and IBP Higher had IBP systolic BP > 10 mm Hg above the participant’s self-estimation. Proportions are compared with χ² and continuous variables are compared with two-tailed t tests.