| Literature DB >> 33536767 |
Biruk Bayleyegn1, Addisu Mehari2, Debasu Damtie3, Markos Negash3.
Abstract
BACKGROUND: Hospital-acquired infections can be acquired by a patient or develop among hospital staff, as a more serious problem in low- and middle-income hospital settings. Assessing the level of knowledge, attitude and practice towards hospital-acquired infection prevention among healthcare workers and identifying the associated factors has an unquestionable importance of handling and management of these infections. Thus, in this study, we evaluated the knowledge, attitude and practice towards HAIs prevention and associated factors in healthcare workers at the University of Gondar Comprehensive Specialized Hospital, North West Ethiopia.Entities:
Keywords: attitude and practice; healthcare workers; hospital-acquired infection; knowledge
Year: 2021 PMID: 33536767 PMCID: PMC7850400 DOI: 10.2147/IDR.S290992
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Socio-Demographic Characteristics of Healthcare Workers at UoGCSH, Northwest Ethiopia, 2019
| Variables | Category | Frequency | Percentage |
|---|---|---|---|
| Age/years | 20–25 | 65 | 27.5 |
| 26–30 | 102 | 43.2 | |
| 31–35 | 41 | 17.4 | |
| ≥36 | 28 | 11.9 | |
| Sex | Male | 143 | 60.6 |
| Female | 93 | 39.4 | |
| Educational status | Diploma | 78 | 33 |
| First Degree | 131 | 55.5 | |
| Master’s degree | 27 | 11.5 | |
| Work experience in years | ≤5 | 164 | 69.5 |
| >5 | 72 | 30.5 | |
| Profession | Medical Doctors | 4 | 1.7 |
| Dentists | 2 | 0.8 | |
| Health Officers | 4 | 1.7 | |
| Anesthetics | 3 | 1.3 | |
| Physiotherapist | 3 | 1.3 | |
| Radiographers | 5 | 2.1 | |
| Pharmacists | 14 | 5.9 | |
| Laboratory | 26 | 11 | |
| Midwives | 22 | 9.3 | |
| Nurses | 148 | 62.7 | |
| Psychiatry | 3 | 1.3 | |
| Optometrist | 2 | 0.8 |
Knowledge of Healthcare Workers About HAI Prevention at UoGCSH, 2019
| Variables | True (%) | False (%) |
|---|---|---|
| Nosocomial infection is an infection whose development is favored by a hospital environment. | 225 (95.3) | 11 (4.7) |
| Nosocomial infections includes Ventilator associated pneumonia (VAP), Tuberculosis, Urinary tract infection, Gastroenteritis. | 160 (67.8) | 75 (31.8) |
| HBV, HCV, | 207 (87.7) | 29 (12.3) |
| Gloves should always be worn in contact precautions. | 218 (92.4) | 18 (7.6) |
| Standard precautions should include the use of protective equipment and frequent hand washing. | 228 (96.6) | 8 (3.4) |
| Diagnosis influences my decision in choosing PPE. | 196 (83.1) | 40 (16.9) |
| Patient history will influence my decision in choosing PPE. | 168 (71.2) | 67 (28.4) |
| Washing hands before and after handling patients helps to prevent infection. | 219 (92.8) | 16 (6.8) |
| Wearing N95 mask is important when dealing with air born infection. | 219 (92.8) | 17 (7.2) |
| Wearing surgical masks when doing surgical procedures are vital to prevent infection. | 221 (93.6) | 15 (6.4) |
Attitude of Healthcare Workers About HAI Prevention at UoGCSH, 2019
| Variables | Agree N (%) | Disagree N (%) | Not sure N (%) |
|---|---|---|---|
| It is necessary to categorize hospital waste before disposal. | 144 (61.0) | 61 (25.9) | 31 (13.1) |
| Hand hygiene after removing gloves is a healthcare associated infection control measure. | 207 (87.7) | 20 (8.5) | 9 (3.8) |
| Use of antiseptic is necessary to prevent nosocomial infection | 217 (91.9) | 10 (4.2) | 9 (3.8) |
| Invasive procedures are risk factor for multi-drug resistant organisms. | 117 (49.6) | 60 (25.4) | 59 (25) |
| Health worker hands are vehicle for transmission of nosocomial pathogen. | 177 (75.0) | 43 (18.2) | 15 (6.4) |
| Changing mask before going to another patient is a nosocomial infection control measure. | 125 (53.8) | 63 (26.7) | 46 (19.5) |
Healthcare Workers Practice Towards HAI Prevention at UoGCSH, 2019
| Variables | Practice | |||
|---|---|---|---|---|
| Always N (%) | Often N (%) | Sometimes N (%) | Not at All N (%) | |
| Hand washing before starting work | 80 (33.9) | 63 (26.7) | 74 (31.4) | 18 (7.6) |
| Hand washing before handling new patients | 68 (28.8) | 61 (25.8) | 86 (36.4) | 20 (8.5) |
| Changing gloves before starting handling new patient | 119 (50.4) | 63 (26.7) | 48 (20.3) | 6 (2.6) |
| Wearing mask during handling TB suspected patients | 93 (39.4) | 62 (26.3) | 58 (24.6) | 22 (9.3) |
| Using safety cabinets in the laboratory. | 67 (28.4) | 36 (15.3) | 33 (14.0) | 93 (39.4) |
| Discarding infectious materials and left-over samples according to the guide line | 43 (18.2) | 28 (8.5) | 135 (57.2) | 33 (14.0) |
Association of Socio-Demographic Variables with Attitude and Practice of Healthcare Workers Towards HAI Prevention at UoGCSH, 2019
| Attitude | |||||
|---|---|---|---|---|---|
| Variable | Category | Favorable N (%) | Unfavorable N (%) | X2 | P-value |
| Age/years | 20–25 | 36 (55.4) | 29 (44.6) | 0.431 | 0.210 |
| 26–30 | 53 (52) | 49 (48.0) | |||
| 31–35 | 30 (73.1) | 11 (26.9) | |||
| ≥36 | 16 (57.1) | 12 (42.9) | |||
| Total | 135 (57.2) | 101 (42.8) | |||
| Sex | Male | 99 (69.2) | 44 (30.8) | 0.342 | 0.559 |
| Female | 61 (65.6) | 32 (34.4) | |||
| Total | 160 (67.8) | 76 (32.2) | |||
| Educational status | Diploma | 25 (32.0) | 53 (68.0) | ||
| First-Degree | 56 (42.8) | 75 (57.2) | |||
| Masters | 20 (74.0) | 7 (26.0) | |||
| Total | 101 (42.8) | 135 (57.2) | |||
| Level of experience | ≤ 5 | 86 (52.4) | 78 (47.6) | ||
| >5 | 48 (66.7) | 24 (33.3) | |||
| Total | 134 (56.7) | 102 (43.3) | |||
| Age | 20–25 | 27 (41.5) | 38 (58.5) | 0.926 | 0.428 |
| 26–30 | 33 (32.3) | 69 (67.7) | |||
| 31–35 | 13 (31.7) | 28 (68.3) | |||
| ≥36 | 12 (42.9) | 16 (57.1) | |||
| Total | 85 (36.0) | 151 (64.0) | |||
| Sex | Male | 53 (37.1) | 90 (62.9) | 0.342 | 0.559 |
| Female | 31 (33.3) | 62 (66.7) | |||
| Total | 84 (35.6) | 152 (64.4) | |||
| Educational status | Diploma | 24 (30.8) | 54 (69.2) | ||
| First-Degree | 47 (35.9) | 84 (64.1) | |||
| Masters | 10 (37.1) | 17 (62.9) | |||
| Total | 81 (34.3) | 155 (65.7) | |||
| Level of Experience | ≤5 | 58 (35.4) | 106 (64.6) | ||
| >5 | 27 (37.5) | 45 (62.5) | |||
| Total | 85 (36.0) | 151 (64.0) | |||
Note: NB: Bold numeral in the table indicates significant association.