Experiences on the Utility and Barriers of Telemedicine in Healthcare Delivery in Kenya

Table 1

Demographic characteristics of the study population.

Variables	Telemedicine		Total	Pearson’s chi-square	value
	Without telemedicine	With telemedicine
Age				0.4006	0.818
Below 30 years	8 (57.1%)	6 (42.9%)	14 (100%)
Between 30 and 50 years	65 (49.2%)	67 (51.8%)	132 (100%)
More than 50 years	5 (45.5%)	6 (55.5%)	11 (100%)
Total	78 (49.7%)	79 (50.3%)	157 (100%)
Gender				1.0755	0.300
Female	36 (45.6%)	43 (54.4%)	79 (100%)
Male	42 (53.9%)	36 (46.1%)	78 (100%)
Total	78 (49.7%)	79 (50.3%)	157 (100%)
Education level				2.7232	0.605
Degree	20 (52.6%)	18 (47.4%)	38 (100%)
Diploma	0 (0.00%)	2 (100%)	2 (100%)
Fellowship	7 (43.8%)	9 (56.2%)	16 (100%)
Masters	50 (51.0%)	48 (49.0%)	98 (100%)
PhD	1 (33.3%)	2 (66.7%)	3 (100%)
Total	78 (49.7%)	79 (50.3%)	157 (100%)
Specialities				10.9602	0.532
Anaesthesiology	3 (100%)	0 (0%)	3 (100%)
Emergency medicine	1 (100%)	0 (0%)	1 (100%)
Family medicine	0 (0%)	1 (10%)	1 (100%)
General practitioner	3 (50%)	3 (50%)	6 (100%)
General surgery	2 (67.7%)	1 (32.3%)	3 (100%)
Haematology	0 (0%)	1 (100%)	1 (100%)
Internal medicine	4 (57.1%)	3 (42.9%)	7 (100%)
Obstetrics and Gynaecology	7 (63.6%)	4 (36.4%)	11 (100%)
Paediatrics	3 (75%)	1 (25%)	4 (100%)
Pathology	12 (52%)	13 (48%)	25 (100%)
Psychiatry	1 (50%)	1 (50%)	2 (100%)
Radiology	1 (20%)	4 (80%)	5 (100%)
Others	12 (41.4%)	17 (58.6%)	29 (100%)
Total	50	48	98 (100%)
Institution				6.7468	0.080
Individual or group	4 (44.4%)	5 (5.6%)	9 (100%)
Private sector	19 (35.9%)	34 (64.1%)	53 (100%)
Public healthcare	39 (57.4%)	29 (42.6%)	68 (100%)
University/college	16 (59.3%)	11 (40.7%)	27 (100%)
Total	78 (49.7%)	79 (50.3%)	157 (100%)