Table 1 Characteristics of patients screened for CVD risk using AFYACHAT mHealth tool by CHWs in rural Kenya
Predicted 10-year CVD Risk
Overall (N = 2865)<10% GREEN (N = 2778)10% to <20% YELLOW (N = 65)20% to <30% ORANGE (N = 12)≥30% RED (N = 10)P-value
Location0.010
Isiolo District1591 (56)1531 (96)42 (2.6)11 (0.7)7 (0.4)
Elgeyo-Marakwet District1274 (44)1247 (98)23 (1.8)1 (0.1)3 (0.2)
Community Health Worker<0.001
11591 (56)1531 (96)42 (2.6)11 (0.7)7 (0.4)
2490 (17)482 (98)7 (1.4)01 (0.2)
3384 (13)377 (98)7 (1.8)00
4339 (12)337 (99)1 (0.3)01 (0.3)
561 (2.2)51 (84)8 (13)1 (1.6)1 (1.6)
Age, median (IQR)50 (43–60)50 (43–60)50 (56–69)61 (70–77)61 (52–68)<0.001
Sex, n (%)0.002
Male1284 (45)1231 (96)44 (3.4)3 (0.2)6 (0.5)
Female1581 (55)1547 (98)21 (1.3)9 (0.6)4 (0.3)
Tobacco, n (%)0.62
User628 (22)607 (97)17 (2.7)1 (0.2)3 (0.5)
Non-user2237 (78)2171 (97)48 (2.1)11 (0.5)7 (0.3)
Diabetes, n (%)<0.001
Known diabetic92 (3.2)73 (79)7 (7.6)4 (4.3)8 (8.7)
Not known to be diabetic2773 (97)2705 (98)58 (2.1)8 (0.3)2 (0.1)
Systolic blood pressure (mmHg), median (IQR)125 (112–139)124 (112–137)170 (162–181)189 (161–192)192 (182–203)<0.001