| Literature DB >> 35872086 |
Abstract
BACKGROUND: When an infectious disease breaks out, emergency nurses are the front-line specialists. Infection control by emergency nurses is important to minimize the risk of infectious disease and to improve the infection control practices of emergency nurses. Therefore, it is crucial to identify the factors influencing infection control practice related to COVID-19.Entities:
Keywords: COVID-19; Emergency nursing; Health belief model; Knowledge; Personal protective equipment
Year: 2022 PMID: 35872086 PMCID: PMC9271496 DOI: 10.1016/j.auec.2022.07.004
Source DB: PubMed Journal: Australas Emerg Care ISSN: 2588-994X
Participant characteristics (N = 161).
| Variables | Characteristics | n | % |
|---|---|---|---|
| Gender | Female | 127 | 78.9 |
| Male | 34 | 21.1 | |
| Age (years) | 21 – 30 | 112 | 69.6 |
| 31 – 40 | 41 | 25.5 | |
| ≥ 14 | 8 | 4.9 | |
| Education level | ADN and BSN | 147 | 91.3 |
| ≥ MSN | 14 | 8.7 | |
| Clinical careers (years) | > 1 | 17 | 10.6 |
| 1–5 | 91 | 56.5 | |
| 6–10 | 34 | 21.1 | |
| > 10 | 19 | 11.8 | |
| Clinical careers in ED | > 1 | 25 | 15.5 |
| 1–5 | 90 | 55.9 | |
| 6–10 | 34 | 21.1 | |
| > 10 | 12 | 7.5 | |
| Experience in caring for | Yes | 152 | 94.4 |
| No | 9 | 5.6 | |
| Received COVID-19 education | Yes | 144 | 89.5 |
| No | 17 | 10.5 | |
| Received emerging infectious | Yes | 101 | 62.7 |
| No | 60 | 37.3 | |
| PPE monitoring experience | Yes | 138 | 85.7 |
| No | 23 | 14.3 | |
| Most effective COVID-19 | Theory lecture | 3 | 1.9 |
| Theory and practice | 143 | 88.8 | |
| Online learning | 15 | 9.3 |
ADN = Associate Degree in Nursing, BSN = Bachelor of Science in Nursing; COVID-19 = Coronavirus Disease 2019; ED = Emergency Department, M=mean; MSN = Master of Science in Nursing; SD: Standard Deviation; PPE = Personal Protective Equipment.
Level of infection control practices, knowledge, health beliefs, and infection prevention environment related to COVID-19 (N = 161).
| Variables | Mean (SD) | Observed Range |
|---|---|---|
| Knowledge about COVID-19 | 19.53 (2.21) | 0–25 |
| Health beliefs related to COVID-19 | 3.96 (0.71) | 1–5 |
| Perceived susceptibility | 4.37 (0.65) | 1–5 |
| Perceived Severity | 4.16 (0.69) | 1–5 |
| Perceived Benefit | 4.48 (0.56) | 1–5 |
| Perceived barriers | 3.36 (0.94) | 1–5 |
| Cues to Action | 3.44 (0.76) | 1–5 |
| Infection prevention environment | 4.23 (0.50) | 1–5 |
| Infection control practices | 4.60 (0.42) | 1–5 |
COVID-19 = Coronavirus Disease 2019; SD = Standard Deviation.
Differences in infection control practice related to COVID-19 (N = 161).
| Infection control practice related to COVID-19 | ||||
|---|---|---|---|---|
| Variables | Characteristics | n | M±SD | |
| Gender | Female | 127 | 73.50 (6.89) | 0.52 (0.061) |
| Male | 34 | 74.18 (6.26) | ||
| Age (years) | 21 – 30 | 112 | 73.10 (7.09) | 2.85 (0.062) |
| 31 – 40 | 41 | 74.12 (5.95) | ||
| ≥ 41 | 8 | 78.75 (2.19) | ||
| Education level | ADN and BSN | 147 | 73.65 (6.80) | 0.08 (0.942) |
| ≥ MSN | 14 | 73.50 (6.38) | ||
| Clinical careers (years) | > 1 | 17 | 70.35 (9.13) | 2.27 (0.081) |
| 1–5 | 91 | 73.44 (6.62) | ||
| 6–10 | 34 | 74.68 (6.31) | ||
| > 10 | 19 | 75.68 (4.64) | ||
| Clinical careers in ED | > 1 | 25 | 75.68 (4.64) | 1.07 (0.362) |
| 1–5 | 90 | 73.37 (6.59) | ||
| 6–10 | 34 | 74.71 (6.43) | ||
| > 10 | 12 | 75.67 (4.60) | ||
| Experience in caring for COVID-19-infected or suspected patients | Yes | 152 | 73.53 (6.82) | 0.83 (0.411) |
| No | 9 | 75.44 (5.43) | ||
| Received COVID-19 education | Yes | 144 | 73.67 (6.87) | 0.14 (0.883) |
| No | 17 | 73.41 (5.80) | ||
| Received emerging infectious diseases education | Yes | 101 | 74.70 (6.48) | -2.64 (0.009) |
| No | 60 | 71.85 (6.86) | ||
| PPE monitoring experience | Yes | 138 | 74.27 (6.66) | -2.96 (0.004) |
| No | 23 | 69.87 (6.15) | ||
| Most effective COVID-19 education methods | Theory lecture | 3 | 76.00 (3.46) | 0.19 (0.831) |
| Theory and practice | 143 | 73.60 (6.76) | ||
| Online learning | 15 | 73.53 (7.32) | ||
ADN = Associate Degree in Nursing, BSN = Bachelor of Science in Nursing; COVID-19 = Coronavirus disease 2019; ED = Emergency Departments; M=mean; MSN = Master of Science in Nursing; SD: standard deviation; PPE = Personal Protective Equipment.
P < .01
Correlations among the main variables (N = 161).
| Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|
| 1. Knowledge | 1.00 | |||||||
| 2. Perceived susceptibility | -0.07 | 1.00 | ||||||
| 3. Perceived severity | .00 | .19 | 1.00 | |||||
| 4. Perceived benefit | .12 | .28 | .25 | 1.00 | ||||
| 5. Perceived barriers | -0.10 | .32 | -0.01 | -0.02 | 1.00 | |||
| 6. Cues to Action | .13 | -0.01 | .17 | .11 | .04 | 1.00 | ||
| 7. Infection prevention environment | .21 | .01 | .13 | .30 | -.33 | .21 | 1.00 | |
| 8. Infection control practices | .29 | -.05 | .26 | .25 | -.27 | .14 | .41 | 1.0 |
P < .05,
P < .01,
P < .001
Linear Regression analysis for influencing infection control practices related to COVID-19 (N = 161).
| Variables | β | VIF | ||||
|---|---|---|---|---|---|---|
| Constant | 37.63 | 6.41 | 5.87 | < 0.001 | ||
| Education experience related to emerging infectious diseases | 1.16 | 0.96 | .08 | 1.20 | .229 | 1.08 |
| PPE monitoring | 3.58 | 1.28 | .19 | 2.79 | .006** | 1.01 |
| Knowledge about COVID-19 | 0.56 | 0.21 | .18 | 2.66 | .009** | 1.07 |
| Perceived severity | 0.48 | 0.18 | .18 | 2.61 | .010 * | 1.10 |
| Perceived benefit | 0.42 | 0.29 | .10 | 1.42 | .157 | 1.18 |
| Perceived barriers | -0.27 | 0.13 | -0.15 | 2.15 | .033 * | 1.12 |
| Infection prevention environment | 0.29 | 0.09 | .24 | 3.21 | .002** | 1.30 |
R2 = .327, Adjusted R2 = .296, F= 10.61, p < .001
COVID-19 = Coronavirus disease 2019; PPE = Personal Protective Equipment.
* P < .05, * * P < .01