Sample characteristics | Survey 1 Number (%) | Survey 2 Number (%) | Survey 3 Number (%) | p-value a | ||
---|---|---|---|---|---|---|
Survey 1 vs Survey 2 | Survey 1 vs Survey 3 | Survey 2 vs Survey 3 | ||||
Gender | (N = 256) | (N = 259) | (N = 267) | |||
Male | 125 (48.8) | 139 (53.7) | 134 (50.2) | 0.274 | 0.757 | 0.426 |
Female | 131 (51.2) | 120 (46.3) | 133 (49.1) | |||
Address | (N = 247) | (N = 237) | (N = 263) | |||
Urban | 169 (68.4) | 164 (69.2) | 173 (65.8) | 0.808 | 0.528 | 0.418 |
Rural | 78 (31.6) | 73 (30.8) | 90 (34.2) | |||
Educational level | (N = 253) | (N = 253) | (N = 266) | |||
Had no formal education | 151 (59.7) | 150 (59.3) | 171 (64.3) | 0.928 | 0.282 | 0.243 |
Had formal education | 102 (40.3) | 103 (40.7) | 95 (35.7) | |||
Occupation | (N = 253) | (N = 253) | (N = 266) | |||
Farmer | 151 (59.9) | 133 (51.8) | 148 (55.4) | 0.168 | 0.366 | 0.074 |
Government employee | 28 (11.1) | 44 (17.1) | 29 (10.9) | |||
Self-employed | 36 (14.3) | 41 (16.0) | 35 (13.1) | |||
Unemployed | 37 (14.7) | 39 (15.2) | 55 (20.6) | |||
Unit of admission | (N = 256) | (N = 259) | (N = 267) | |||
Surgical | 133 (52.0) | 104 (40.2) | 98 (36.7) | 0.008 | 0.001 | 0.831 |
Medical | 86 (33.6) | 89 (34.4) | 101 (37.8) | |||
Gynaecology | 20 (7.8) | 34 (13.1) | 34 (12.7) | |||
Maternity | 17 (6.6) | 32 (12.4) | 34 (12.7) |