Table 6.
Analysis of the respondents for the solutions proposed for each barrier category
| Suggested solution against each barrier category | Yes (%) | No (%) | Difference in the simple proportions (%) | 95% CI of difference | P-value |
|---|---|---|---|---|---|
| mHealth expertise and human shortage barriers | |||||
| 1. Provide better educational training in digital and mHealth areas | 93.9 | 6.1 | 87.8 | 22.6–95.2 | <0.001 |
| 2. Better public awareness programs on the benefits of mHealth in diabetes | 93.9 | 6.1 | 87.8 | 22.6–95.2 | <0.001 |
| Funding and investment barriers | |||||
| 1. Allocation of more funding and strategic plans for digital diabetes | 81.8 | 18.2 | 63.6 | 19.5–81.0 | <0.001 |
| Legal, privacy standardization and regulatory barriers | |||||
| 1. Interoperability strategy for digital diabetes in the Kingdom | 96.9 | 3.1 | 93.8 | 15.3–97.8 | <0.001 |
| 2. National mHealth plan | 93.9 | 6.1 | 87.8 | 22.6–95.2 | <0.001 |
| 3. Better resource allocation | 90.9 | 9.1 | 81.8 | 25.2–92.3 | <0.001 |
| 4. Development of ethical standards for mHealth | 100 | 0 | – | – | – |
| Health care organizational and bureaucracy barriers | |||||
| 1. Training and professional courses | 93.9 | 6.1 | 87.8 | 22.6–95.2 | <0.001 |
| 2. Better allocation of time and resources | 90.9 | 9.1 | 81.8 | 25.2–92.3 | <0.001 |
| 3. Creation of mHealth leaders | 90.9 | 9.1 | 81.8 | 25.2–92.3 | <0.001 |
Abbreviation: mHealth, mobile health.