TABLE 2.
Covariates | Rural (N = 50) |
Urban (N = 50) |
P | ||
---|---|---|---|---|---|
N | % | N | % | ||
Phone Ownership | |||||
Yes | 46 | 92 | 42 | 84 | 0.2184 |
No | 4 | 8 | 8 | 16 | |
SMS Message Frequency | |||||
Every day | 20 | 40 | 13 | 16 | 0.0802* |
Every 2-6 days | 3 | 6 | 5 | 10 | |
Once a week | 5 | 10 | 1 | 2 | |
Once every 2 weeks | 4 | 8 | 1 | 2 | |
Never | 15 | 30 | 24 | 48 | |
Text Language | |||||
Zulu | 37 | 74 | 25 | 50 | 0.1057 |
English | 13 | 26 | 18 | 36 | |
Have you ever sent a SMS to medical provider? | |||||
Yes | 5 | 10 | 5 | 10 | 0.7992* |
No | 44 | 88 | 36 | 72 | |
Do not know | 1 | 2 | 2 | 4 | |
Have you ever received a SMS from medical provider? | |||||
Yes | 9 | 18 | 5 | 10 | 0.5111* |
No | 37 | 74 | 33 | 66 | |
Do not know | 3 | 6 | 5 | 10 | |
Would you be willing to receive an SMS from a medical provider in the future? | |||||
Yes | 31 | 62 | 33 | 66 | 0.1226 |
No | 11 | 22 | 3 | 6 | |
Maybe | 8 | 16 | 7 | 14 |
, p-value reflects results of Fisher’s Exact Test. More than 25% of cells had expected counts less than 5 making Chi-Square Test inappropriate.