Table 1 Individual characteristics of healthcare professionals at baseline in Southwest Ethiopia, 2022
Demographic variables | Control group | Intervention group | Â | Test statistics | |
|---|---|---|---|---|---|
Pre intervention n = 96(%) | Pre intervention n = 89(%) |  | |||
Sex | Male | 61(63.5) | 48(53.9) | χ2 = 0.632, p = 0.802 | |
Female | 35(36.5) | 41(46.1) | Â | ||
Age[M (SD)] | ≤ 30 | 33(8.3) | 28(6.7) | t = 1.652, p = 0.096 | |
Profession | Nurse | 37(38.5) | 49(55.1) | χ2 = 0.137, p = 0.890 | |
Physician | 23(24.0) | 12(13.5) | Â | ||
HO | 19(19.8) | 22(24.7) | Â | ||
Others | 17(17.7) | 6(6.7) | Â | ||
Educational level | Diploma | 26(27.1) | 17(19.1) | χ2 = 18.615, p = 0.03 | |
Degree | 59(61.5) | 66(74.2) | Â | ||
Master | 11(11.4) | 6(6.7) | Â | ||
Experience | ≤5 years | 38(39.6) | 22(24.7) | χ2 = 0.033, p = 0.891 | |
5–10 years | 51(53.1) | 56(62.9) |  | ||
> 10 years | 7(7.3) | 11(12.4) |  | ||
Monthly Salary | ≤ 5,000 ETB | 33(34.4) | 21(23.6) | χ2 = 1.629, p = 0.730 | |
> 5,000 ETB | 63(65.6) | 68(76.4) |  | ||
Workload | Yes | 59(61.5) | 57(64.0) | χ2 = 0.95, p = 0.26 | |
No | 37(38.5) | 32(36.0) | Â | ||
Technical support | Yes | 9(9.4) | 16(18.0) | χ2 = 3.93, p = 0.032 | |
No | 87(90.6) | 65(82.0) | Â | ||
Having internet access | Yes | 42(43.8) | 37(41.6) | χ2 = 0.317, p = 0.067 | |
No | 53(56.2) | 52(58.4) | Â | ||
Having a computer in their office | Yes | 45(46.9) | 28(31.5) | χ2 = 0.106, p = 0.078 | |
No | 51(53.1) | 61(68.5) | Â | ||