Healthcare providers’ digital competency: a cross-sectional survey in a low-income country setting

Table 3 Multivariable logistic regression results

Variables	Coefficient estimate	AOR	95% CI		p-value
Variables	Coefficient estimate	AOR	Lower	Upper	p-value
Sex
Male	1.365	3.914	1.745	8.776	.001^a
Female
Age	.105	1.111	.924	1.336	.262
Educational status
Diploma and below	−1.004	.366	.149	.900	.029^a
Degree and above
Profession Type					.004^a
Health officer	−.694	.499	.198	1.263	.142
Medical laboratory	−3.046	.048	.005	.423	.006^a
Pharmacy	−2.437	.087	.013	.600	.013^a
Midwifery	.531	1.700	.476	6.076	.414
Nurse
Monthly Income					.005^a
1500–3500
3501–5500	−2.251	.105	.012	.923	.042^a
> 5500	−2.931	.053	.008	.372	.003^a
Year of Experience	−.372	.689	.518	.918	.011^a

Reference group: female, degree and above, nurse, 1500–3500, ^aindicates statistical significance, the currency of monthly income is in Ethiopian birr (ETB), AOR adjusted odds ratio

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