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. 2018 May 30;30:86. doi: 10.11604/pamj.2018.30.86.15151

Table 1.

The influence of socio-demographic characteristics on the utilization of public health facilities

Total Utilization of public health facilities
Variables n (%) Yes = n (%) No = n (%) p value
Location 0.248
Makina 251(63.4) 106(42.2) 145(57.8)
LainiSaba 85(21.5) 44(51.8) 41(48.2)
Gatwikira 60(15.2) 24(40.0) 36(60.0)
Age 0.267
< 20 years 26(6.6) 12(46.2) 14(53.8)
20 - 34 years 325(82.1) 148(45.5) 177(54.5)
≥ 35 years 43(10.9) 14(32.6) 29(67.4)
Religion 0.242
Christian 301(77.2) 138(45.8) 163(54.2)
Islam 87(22.0) 34(39.1) 53(60.9)
None 2(0.5) 0(0.0) 2(100.0)
Marital Status 0.045
Single 86(21.7) 42(48.8) 44(51.2)
Married 291(73.5) 118(40.5) 173(59.5)
Living together 1(0.3) 1(100.0) 0(0.0)
Divorced 16(4.0) 12(75.0) 4(25.0)
Widowed 2(0.5) 1(50.0) 1(50.0)
Number of children 0.444
0 3(0.8) 1(33.3) 2(66.7)
1 121(30.7) 60(49.6) 61(50.4)
2 138(35.0) 56(40.6) 82(59.4)
3 80(20.3) 30(37.5) 50(62.5)
4 30(7.6) 14(46.7) 16(53.3)
≥ 5 22(5.6) 12(54.5) 10(45.5)
Education level 0.162
Primary 191(48.2) 77(40.3) 114(59.7)
Secondary 174(43.9) 85(48.9) 89(51.1)
College 27(6.8) 9(33.3) 18(66.7)
University 2(0.5) 1(50.0) 1(50.0)
None 2(0.5) 2(100.0) 0(0.0)
Occupation 0.227
No work 249(62.9) 105(42.2) 144(57.8)
Farming 2(0.5) 2(100.0) 0(0.0)
Trading/Selling 46(11.6) 18(39.1) 28(60.9)
Office work 12(3.0) 7(58.3) 5(41.7)
Student 2(0.5) 0(0.0) 2(100.0)
Labourer/Casual worker 85(21.5) 42(49.4) 43(50.6)
Income 0.795
0 - 5,000 74((18.7) 36(48.6) 38(51.4)
5,001 - 10,000 59(14.9) 27(45.8) 32(54.2)
10,001 - 20,000 6(1.5) 3(50.0) 3(50.0)
20,001 - 30,000 3(3) 2(66.7) 1(33.3)
> 30,000 1(1) 0(0.0) 1(100.0)
Refusetoanswer 0(0.0) 1(100.0)

P < 0.05 = significant > 0.05 = not significant; p values derived from chi square tests