Table 4.
Characteristics | Outcome | COR (95%CI) | AOR (95%CI) | |
---|---|---|---|---|
Satisfied (≥48) Freq (%) | Dissatisfied (≤47) Freq (%) | |||
Age | ||||
18–25 | 57 (48.7) | 60 (52.3) | 1 | |
26–35 | 37 (52.9) | 33 (47.1) | 1.26 (1.02–1.55)* | 1.30 (0.95–1.78) |
36–45 | 15 (44.1) | 19 (55.9) | ||
46–55 | 9 (69.2) | 4 (30.8) | ||
>55 | 15 (78.9) | 4 (21.1) | ||
Sex | ||||
Female | 48 (42.9) | 64 (57.1) | 1 | 1 |
Male | 84 (60) | 56 (40) | 2.0 (1.20–3.31)* | 1.35 (0.64–2.86) |
Ethnicity | ||||
Awi | 114 (67.5) | 55 (32.5) | 1 | 1 |
Amhara | 18 (21.7) | 65 (78.3) | 0.13 (0.07–0.24)* | 0.24 (0.11–0.55)* |
Work area | ||||
Urban | 4 (12.5) | 28 (87.5) | 1 | 1 |
Rural | 129 (58.6) | 91 (41.4) | 9.92 (3.36–29.26)* | 4.89 (1.07–22.28)* |
Educational level | ||||
Illiterate | 54 (50) | 54 (50) | 1 | 1 |
Primary education | 35 (46.1) | 41 (53.9) | 0.85 (0.47–1.54) | 0.71 (0.24–2.14) |
Secondary education | 19 (48.7) | 20 (51.3) | 0.95 (0.45–1.97) | 0.63 (0.18–2.18) |
College/university | 25 (83.3) | 5 (16.7) | 5.0 (1.78–14.03)* | 2.99 (0.36–24.88) |
Employment | ||||
Farmer | 68 (51.5) | 64 (48.5) | 1 | 1 |
Merchant | 8 (36.4) | 14 (63.6) | 0.53 (0.21–1.36) | 1.62 (0.39–6.72) |
Government employee | 25 (80.6) | 6 (19.4) | 3.92 (1.51–10.18)* | 4.01 (0.616–26.11) |
Non-government employee | 1 (50) | 1 (50) | 0.94 (0.05–15.36) | 0.99 (0.01–489.99) |
Other | 31 (47) | 35 (53) | 0.83 (0.46–1.50) | 0.96 (0.28–3.30) |
Knowing malaria diagnosis | ||||
By your selves | 7 (19.4) | 29 (80.6) | 1 | 1 |
After consulting clinician | 100 (61.3) | 63 (38.7) | 6.576 (2.718–15.910)* | 3.32 (1.11–9.88)* |
After consulting lab personnel | 6 (40) | 9 (60) | 2.76 (0.74–10.36) | 1.2 (0.23–6.65) |
Waiting time to receive malaria lab result | ||||
Within 30 min | 119 (72.6) | 45 (27.4) | 1 | 1 |
30 min–1 h | 14 (19.7) | 57 (80.3) | 0.09 (0.05–0.18) | 0.12 (0.05–0.28)* |
After 1 h | 0 | 10 (100) | 0.001 (0.001) | 0.001 (0.001) |
* p < 0.05