TABLE 3.
Feasibility of mobile health technology by education level (N = 83).
| Covariates | No Education (N = 1) | Primary (N = 15) | Secondary (N = 50) | Tertiary (N = 17) | P |
|---|---|---|---|---|---|
| Phone Ownership | |||||
| Yes | 0 | 11 | 49 | 15 | 0.0016* |
| No | 1 | 4 | 1 | 2 | |
| SMS Message Frequency | |||||
| Every day | 0 | 5 | 19 | 4 | 0.7902* |
| Every 2-6 days | 0 | 1 | 6 | 1 | |
| Once a week | 0 | 0 | 2 | 2 | |
| Once every 2 weeks | 0 | 0 | 4 | 1 | |
| Never | 1 | 8 | 17 | 8 | |
| Text Language | |||||
| Zulu | 1 | 11 | 27 | 11 | 0.6543* |
| English | 0 | 4 | 19 | 4 | |
| Have you ever sent a SMS message to medical provider? | |||||
| Yes | 1 | 1 | 3 | 1 | 0.2200* |
| No | 0 | 13 | 42 | 14 | |
| Do not know | 0 | 1 | 2 | 0 | |
| Have you ever received a SMS message from medical provider? | |||||
| Yes | 0 | 2 | 4 | 5 | 0.2252* |
| No | 1 | 9 | 39 | 11 | |
| Do not know | 0 | 2 | 4 | 0 | |
| Would you be willing to receive an SMS message from a medical provider in the future? | |||||
| Yes | 0 | 11 | 33 | 9 | 0.4181* |
| No | 1 | 1 | 7 | 4 | |
| Maybe | 0 | 2 | 7 | 3 | |
*
, 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.