Table 1.
Univariable Linear Regression Models Among Care Providers in Jimma, 2018 (n = 326)
| Variable | Frequency (%) | Mean (±) | Score B (95% CI) |
Mean Score (95%CI) |
|---|---|---|---|---|
| Sex | ||||
| Male | 227(69.6%) | – | 0.875(0.204,1.547) | 9.54(9.17,9.91) |
| Female | 99(30.4%) | – | r | 8.66(8.11,9.22) |
| Age | – | 29.68(±4.877) | ||
| Service year | – | 4.28(±4.561) | ||
| Area of specialization | ||||
| General Practitioner | 96(29.4%) | – | 0.595(− 0.257,1.447) | 8.82(8.262,9.363) |
| Residents Doctors | 93(28.5%) | – | 1.84(0.979,2.694)* | 10.1(9.49,10.65) |
| Specialist Doctors | 68(20.9%) | – | 1.72(0.802,2.646)* | 9.94(9.3,10.59) |
| Other Health Sciencesa | 69(21.2%) | – | r | 8.22(7.56,8.86) |
| Overall weighted Knowledge | 9.0971(8.77,9.42) | |||
| Overall weighted Attitude | 2.53(2.4,2.65) | |||
| Overall weighted Practice | 10.14(9.94,10.33) | |||
Key: B Unstandardized Coefficients, CI Confidence Interval, r Reference Group
* = Significant association (p < 0.05)
aOther Health Sciences = Nurse, Anesthesia, Clinical Pharmacist and laboratory technologist