From: How 2 txt: an exploration of crafting public health messages in SMS
Sample part 1 | Sample part 2 | |
---|---|---|
Total | 98/168 (58.3%) | 88/143 (61.5%) |
ARNP | 29/48 (60.4%) | 26/42 (61.9%) |
MD | 35/54 (64.8%) | 31/45 (68.9%) |
PA | 10/15 (66.7%) | 9/14 (64.3%) |
PHRM | 17/31 (54.8%) | 15/25 (60.0%) |
VET | 7/19 (36.8%) | 7/16 (36.8%) |
Male | 34/55 (61.8%) | 31/48 (64.6%) |
Female | 64/111 (57.7%) | 57/94 (60.6%) |
26-35 years | 15/24 (62.5%) | 14/21 (66.7%) |
36-45 years | 27/43 (62.8%) | 25/40 (62.5%) |
46-55 years | 27/40 (67.5%) | 21/30 (70.0%) |
56-65 years | 27/55 (49.1%) | 26/47 (55.3%) |
66+ years | 2/6 (33.3%) | 2/5 (40.0%) |