Table 6. Association between the level of awareness and practice regarding the socio-demographic characteristics of participants (n=95). P-value has been calculated using Fischer Exact test. ** Significant at p<0.05 level.
| Factor | Level of awareness | Level of practice | ||
|---|---|---|---|---|
| Poor N (%)(n=65) | Good N (%)(n=30) | Negative N (%)(n=53) | Positive N (%)(n=42) | |
| Gender | ||||
| Male | 30 (46.2%) | 13 (43.3%) | 27 (50.9%) | 16 (38.1%) |
| Female | 35 (53.8%) | 17 (56.7%) | 26 (49.1%) | 26 (61.9%) |
| P-value | 0.828 | 0.222 | ||
| Hospital department | ||||
| ED | 37 (56.9%) | 17 (56.7%) | 32 (60.4%) | 22 (52.4%) |
| ICU | 28 (43.1%) | 13 (43.3%) | 21 (39.6%) | 20 (47.6%) |
| P-value | 1.000 | 0.532 | ||
| Nationality | ||||
| Saudi | 41 (63.1%) | 07 (23.3%) | 32 (60.4%) | 16 (38.1%) |
| Non-Saudi | 24 (36.9%) | 23 (76.7%) | 21 (39.6%) | 26 (61.9%) |
| P-value | <0.001 ** | 0.040 ** | ||
| Job title | ||||
| Nurse | 24 (36.9%) | 25 (83.3%) | 20 (37.7%) | 29 (69.0%) |
| Resident | 21 (32.3%) | 01 (03.3%) | 14 (26.4%) | 08 (19.0%) |
| Specialist | 10 (15.4%) | 03 (10.0%) | 09 (17.0%) | 04 (09.5%) |
| Consultant | 10 (15.4%) | 01 (03.3%) | 10 (18.9%) | 01 (02.4%) |
| P-value | <0.001 ** | 0.008 ** | ||
| Professional level of nurse (n=49) | ||||
| Nursing technician | 08 (33.3%) | 14 (56.0%) | 09 (45.0%) | 13 (44.8%) |
| Nursing/Senior specialist | 16 (66.7%) | 11 (44.0%) | 11 (55.0%) | 16 (55.2%) |
| P-value | 0.154 | 1.000 | ||
| Years of experience | ||||
| ≤5 years | 39 (60.0%) | 15 (50.0%) | 29 (54.7%) | 25 (59.5%) |
| 6 – 10 years | 17 (26.2%) | 12 (40.0%) | 17 (32.1%) | 12 (28.6%) |
| >10 years | 09 (13.8%) | 03 (10.0%) | 07 (13.2%) | 05 (11.9%) |
| P-value | 0.418 | 0.956 | ||
| Is blood collection one of your job duties? | ||||
| No | 40 (61.5%) | 05 (16.7%) | 33 (62.3%) | 12 (28.6%) |
| Yes | 25 (38.5%) | 25 (83.3%) | 20 (37.7%) | 30 (71.4%) |
| P-value | <0.001 ** | 0.002 ** | ||
| Current average working hours per week? | ||||
| 24 – 32 hours | 20 (30.8%) | 01 (03.3%) | 15 (28.3%) | 06 (14.3%) |
| 40 – 48 hours | 43 (66.2%) | 29 (96.7%) | 36 (67.9%) | 36 (85.7%) |
| ≥56 hours | 02 (03.1%) | 0 | 02 (03.8%) | 0 |
| P-value | 0.002 ** | 0.104 | ||
| Which shift has the greatest workload? | ||||
| Morning | 22 (33.8%) | 09 (30.0%) | 15 (28.3%) | 16 (38.1%) |
| Evening | 39 (60.0%) | 09 (30.0%) | 36 (67.9%) | 21 (50.0%) |
| Night | 04 (06.2%) | 03 (10.0%) | 02 (03.8%) | 05 (11.9%) |
| P-value | 0.829 | 0.132 | ||