Table 3. The correlation of mHealth amongst human healthcare workers in Tanzania (n = 257).

VARIABLE	n (%)	mHealth		Crude OR		Adjusted OR (P-value <0.1)
		Yes (%)	No (%)	OR (95% CI)	P-Value	OR (95% CI)	P-Value
Occupation
Doctors	80(32.1)	54(38.8)	26(23.6)	0.6(0.3–1.2)	0.16	N/A	N/A
Nurse	98(39.4)	45(32.4)	53(48.2)	1.5(0.8–2.8)	0.18	N/A	N/A
Other	71(28.5)	40(28.8)	31(28.2)	N/A	N/A	N/A	N/A
Sex/Gender						N/A	N/A
Male	117(47)	66(47.5)	51(46.4)	1.0(0.6–1.6)	0.86	N/A	N/A
Female	132(53)	73(52.5)	59(53.6)	N/A	N/A	N/A	N/A
Level of Education
Masters/PhD	24(9.6)	17(12.2)	7(6.4)	0.3(0.1–1.1)	0.06	0.4(0.1–1.7)	0.22
Degree	90(36.1)	53(38.1)	37(33.6)	0.5(0.2–1.4)	0.19	1.0(0.3–3.1)	0.97
A/Diploma	114(45.8)	60(43.2)	54(49.1)	0.7(0.3–1.7)	0.41	1.2(0.4–3.4)	0.76
A/O-level	21(8.4)	9(6.5)	12(10.9)	N/A	N/A	N/A	N/A
Location
Urban	198(79.5)	106(76.3)	33(23.7)	1.6(0.8–3.0)	0.15	N/A	N/A
Rural	51(20.5)	92(83.6)	18(16.4)	N/A	N/A	N/A	N/A
Region
Arusha	24(9.6)	22(15.8)	2(1.8)	0.8(0.1–4.6)	0.78	0.9(0.1–5.4)	0.9
Dodoma	49(19.7)	18(12.9)	31(28.2)	14.6(4.5–48.0)	0.00	15.8(4.5–55.1)	0.00
Kilimanjaro	30(12.0)	18(12.9)	12(10.9)	5.7(1.6–20.1)	0.007	8.2(2.1–32.8)	0.003
Mwanza	48(19.3)	13(9.4)	35(31.8)	22.9(6.8–77.2)	0.00	26.4(7.2–96.4)	0.00
Tabora	60(24.1)	34(24.5)	26(23.6)	6.5(2.0–20.6)	0.001	7.9(2.3–27.4)	0.001
Iringa	38(15.3)	34(24.5)	4(3.6)	N/A	N/A	N/A	N/A
Age
<24	11(4.4)	5(3.6)	6(5.5)	1.7(0.5–6.2)	0.42	N/A	N/A
24–34	123(49.4)	70(50.4)	53(48.2)	1.1(0.6–2.0)	0.83	N/A	N/A
34–44	57(22.9)	30(21.6)	27(24.5)	1.3(0.6–2.7)	0.52	N/A	N/A
44–64	58(23.3)	34(24.5)	24(21.8)	N/A	N/A	N/A	N/A
Role at health facility
Supervisor/in charge	45(18.1)	36(25.9)	9(8.2)	0.3(0.1–0.9)	0.04	0.8(0.2–2.9)	0.72
Medical super user	31(12.4)	21(15.1)	10(9.1)	0.6(0.2–1.8)	0.37	0.4(0.1–1.3)	0.12
Staff	148(59.4)	68(48.9)	80(72.7)	1.5(0.6–3.5)	0.35	1.0(0.4–3.0)	0.95
Other/director	25(10.0)	14(10.1)	11(10.0)	N/A	N/A	N/A	N/A
Ownership/Access
Yes	242(97.2)	135(97.1)	4(2.9)	1.1(0.2–4.8)	0.94	N/A	N/A
No	7(2.8)	107(97.3)	3(2.7)	N/A	N/A	N/A	N/A