Table 4.
Logistic regression model analysis of factors associated with NSSI, TASH, Addis Ababa, Ethiopia, June 2018 (N = 268).
| Variables | Category | NSSI | AOR (95% CI) | p value | |
|---|---|---|---|---|---|
| Yes | No | ||||
| Sex | Male | 39 | 38 | 1 | |
| Female | 58 | 133 | 0.461 (0.252, 0.845) | 0.012∗ | |
|
| |||||
| Working departments | Emergency | 9 | 16 | 0.670 (0.226, 1.984) | 0.469 |
| ICU | 6 | 7 | 0.8464 (0.214, 3.487) | 0.838 | |
| Medical | 28 | 44 | 0.666 (0.288, 1.542) | 0.343 | |
| OPD | 26 | 47 | 0.711 (0.299, 1.692) | 0.441 | |
| Pediatric | 8 | 32 | 0.323 (0.112, 0.930) | 0.036∗ | |
| Surgical | 20 | 25 | 1 | ||
|
| |||||
| Educational status | BSC | 73 | 129 | 0.460 (0.172, 1.234) | 0.123 |
| Diploma | 6 | 25 | 0.256 (0.063, 1.048) | 0.058 | |
| MSC | 18 | 17 | 1 | ||
|
| |||||
| Dirty sharps in working places | Yes | 75 | 109 | 2.052 (1.110, 3.791) | 0.022∗ |
| No | 22 | 62 | 1 | ||
|
| |||||
| Work experiences | <5 | 71 | 127 | 1.413 (0.520, 3.839) | 0.498 |
| 5-10 | 12 | 29 | 0.602 (0.202, 1.795) | 0.363 | |
| >10 | 14 | 15 | 1 | ||
|
| |||||
| IP committee | Yes | 76 | 121 | 1.702 (0.878, 3.299) | 0.116 |
| No | 21 | 50 | 1 | ||
|
| |||||
| Needle recapping | Yes | 53 | 65 | 1.780 (1.025, 3.091) | 0.041∗ |
| No | 44 | 106 | 1 | ||
|
| |||||
| Training | Yes | 60 | 86 | 0.753 (0.429, 1.323) | 0.324 |
| No | 37 | 85 | 1 | ||
∗Significant at p ≤ 0.05. AOR = adjusted odds ratio; OPD = outpatient department; ICU = intensive care units; NSSI = needlestick and/or sharp injuries; TASH = Tikur Anbessa Specialized Hospital.