From: Gender differentials in readiness and use of mHealth services in a rural area of Bangladesh
 | HealthLine 789 | Government mHealth services at UHC | ||
---|---|---|---|---|
Variables | aOR (95% CI) | p-value | aOR (95% CI) | p-value |
Gender | ||||
 Male | 5.9 (4.1–8.5) | <0.001 | 2.6 (2.0–3.4) | <0.001 |
Age (years) | ||||
 18–29 | 1.0 |  | 1.0 |  |
 30–39 | 0.5 (0.3–0.7) | <0.001 | 0.7 (0.5–1.0) | 0.087 |
 40–49 | 0.2 (0.1–0.4) | <0.001 | 1.1 (0.8–1.6) | 0.629 |
 50+ | 0.1 (0.0–0.1) | <0.001 | 0.4 (0.2–0.6) | <0.001 |
Education (years of schooling) | ||||
 None | 1.0 |  | 1.0 |  |
 1–5 years | 0.7 (0.4–1.1) | 0.118 | 1.1 (0.7–1.6) | 0.605 |
 6–10 years | 1.9 (1.2–3.1) | 0.005 | 2.1 (1.4–3.1) | <0.001 |
 11+ years | 7.9 (4.5–13.9) | <0.001 | 3.0 (1.8–5.2) | <0.001 |
Socioeconomic status (asset index) | ||||
 Poorest | 1.0 |  | 1.0 |  |
 2nd | 13.1 (1.7–100.1) | 0.013 | 0.7 (0.4–1.3) | 0.275 |
 3rd | 13.8 (1.8–104.3) | 0.011 | 1.0 (0.6–1.8) | 0.890 |
 4th | 19.8 (2.7–147.5) | 0.004 | 1.2 (0.7–2.0) | 0.458 |
 Richest | 73.1 (10.0–534.6) | <0.001 | 3.3 (2.0–5.3) | <0.001 |