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Table 2 Mobile network, access, ownership and use of phones, by study site

From: The feasibility, patterns of use and acceptability of using mobile phone text-messaging to improve treatment adherence and post-treatment review of children with uncomplicated malaria in western Kenya

  Bondo DH Got Agulu SDH Ndori HC Madiany DH All sites
Network coverage, phone access and ownership N = 100 N = 100 N = 100 N = 100 N = 400
Mobile network at home 100 (100%) 99 (99.0%) 100 (100%) 100 (100%) 399 (99.8%)
Has access to mobile phone 98 (98%) 90 (90%) 95 (95%) 89 (89%) 372 (93.0%)
Has personal mobile phone 78 (78%) 66 (66%) 73 (73%) 78 (78%) 295 (73.8%)
Use of mobile phones N = 98 N = 90 N = 95 N = 89 N = 372
Voice 98 (100%) 90 (100%) 95 (100%) 89 (100%) 372 (100%)
Receive SMS 97 (99.0%) 86 (95.6%) 89 (93.7%) 76 (85.4%) 348 (93.6%)
Send SMS 91 (92.9%) 81 (90.0%) 83 (87.4%) 74 (83.2%) 329 (88.4%)
Money transfer 92 (93.9%) 79 (87.8%) 74 (77.9%) 81 (91.0%) 326 (87.6%)
Browsing 9 (9.2%) 13 (14.4%) 4 (4.2%) 19 (21.4%) 45 (12.1%)
E-mail 5 (5.1%) 12 (13.3%) 2 (2.1%) 17 (19.1%) 36 (9.7%)
Brought phone to the facility 63 (64.3%) 44 (48.9%) 49 (51.6%) 56 (62.9%) 212 (57.0%)
Able to charge phone at home 29 (29.6%) 22 (24.4%) 17 (17.9%) 8 (9.0%) 76 (20.4%)
Patterns of SMS receiving N = 97 N = 86 N = 89 N = 76 N = 348
No of SMS/week (median[IQR])a 5 [3-10] 7 [5-10] 5 [3-10] 21 [14–35] 9 [4-20]
Able to open and read SMS 96 (99.0%) 86 (100%) 89 (100%) 76 (100%) 347 (99.7%)
Reading of SMS (day time)a      
Immediately 88 (90.7%) 75 (88.2%) 68 (76.4%) 72 (94.7%) 303 (87.3%)
Within 1 hour 9 (9.3%) 6 (7.1%) 20 (22.5%) 3 (4.0%) 38 (11.0%)
After 1 hour 0 4 (4.7%) 1 (1.1%) 1 (1.3%) 6 (1.7%)
Reading of SMS (night time)      
Immediately 23 (23.7%) 33 (38.8%) 75 (84.3%) 29 (38.2%) 160 (46.1%)
In the morning 74 (76.3%) 52 (61.2%) 14 (15.7%) 47 (61.8%) 187 (53.9%)
  1. aDenominators for these variables at Got Agulu SDH and at all sites do not include one observation with missing value.