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. 2015 Mar 24;17(3):e78. doi: 10.2196/jmir.3859

Table 1.

Cohort characteristics.

Cohort characteristics Total cohort (N=385) Abnormal result (n=138) Normal result (n=247)
Age (years), median (IQR) 32 (26-39) 30 (25-38) 34 (26-4)
Gender (female),n (%) 251 (65.2) 75 (54.3) 176 (71.3)
CD4 count, median (IQR) 409 (272-549) 224.5 (110-293) 504 (419-654)
Estimated household income (US $/month), n (%)


<40 77 (20.0) 20 (14.5) 57 (23.2)

40-80 81 (21.0) 26 (18.8) 55 (22.3)

80-180 58 (15.1) 30 (21.7) 28 (11.3)

>180 69 (17.9) 26 (18.9) 43 (17.4)

Unknown/unable to estimate 100 (26.9) 36 (26.1) 64 (25.9)
Educational attainment, n (%)



Less than primary 43 (11.2) 12 (8.7) 31 (12.6)

Primary 197 (51.2) 71 (51.4) 126 (51.2)

Secondary 104 (27.0) 37 (26.8) 67 (27.1)

Beyond secondary 41 (10.6) 18 (13.0) 23 (9.3)
Successfully read a complete sentence in Runyankole at enrollment visit, n (%) 260 (67.5) 97 (70.3) 163 (66.0)
Estimate duration of journey to clinic (minutes), median (IQR) 60 (30-120) 42.5 (20-90) 60 (30-120)
Shared mobile phone, n (%) 164 (42.6) 49 (35.5) 115 (46.6)
Available mobile phone at enrollment visit, n (%) 315 (81.8) 111 (80.4) 204 (82.6)

Successfully accessed test message 247 (78.4) 93 (83.8) 154 (75.5)
Messages sent, n (%)



1 249 (64.6) 2 (1.4) 247 (100)

2-6 36 (9.4) 36 (26.1) 0

7 100 (26.0) 100 (72.5) 0
Cellular network, n (%)



MTN 199 (51.6) 68 (49.3) 131 (54.1)

Airtel 111 (28.8) 43 (31.6) 68 (28.1)

Warid 61 (15.8) 23 (16.7) 38 (15.7)

Other 8 (2.1) 3 (2.2) 5 (2.1)
Message type, n (%)



Normal 247 (64.2)
247 (100)

Direct 46 (11.9) 46 (33.3) 0

PIN 48 (12.5) 49 (35.5) 0

Coded 43 (11.2) 43 (31.2) 0
Study outcomes, n/N (%)



Received at least 1 SMS text message 250/346 (72.3) 111/138 (80.4) 139/208 (66.8)

Accurately identified transmitted SMS text format 219/250 (87.6) 87/111 (78.4) 132/139 (95.0)

Returned to clinic based on SMS text instructions 234/385 (60.8) 78/138 (56.5) 156/247 (62.8)