| Literature DB >> 33959681 |
Abstract
AIMS ANDEntities:
Keywords: COVID-19; Saudi Arabia; coping strategies; frontline nurses; psychological impact
Year: 2021 PMID: 33959681 PMCID: PMC8060754 DOI: 10.1177/23779608211011322
Source DB: PubMed Journal: SAGE Open Nurs ISSN: 2377-9608
Participants’ Characteristics.
| Factor | Frequency | Percent |
|---|---|---|
| Gender | ||
| Male | 53 | 24.7 |
| Female | 162 | 75.3 |
| Nationality | ||
| Saudi | 178 | 82.8 |
| Non-Saudi | 37 | 17.2 |
| Marital status | ||
| Single | 74 | 34.4 |
| Married | 141 | 65.6 |
| Age | ||
| 20–25 | 24 | 11.2 |
| 26–30 | 78 | 36.3 |
| 31–35 | 65 | 30.2 |
| 36–40 | 34 | 15.8 |
| 41–45 | 14 | 6.5 |
| Education level | ||
| Diploma | 103 | 47.9 |
| Bachelor | 90 | 41.9 |
| Master | 22 | 10.2 |
| Department/unit | ||
| Isolation wards | 128 | 59.5 |
| Intensive care unit | 39 | 18.1 |
| Emergency room | 37 | 17.2 |
| Visual triage | 11 | 5.1 |
| Do you live with an elderly family member | ||
| No | 67 | 31.2 |
| Yes | 148 | 68.8 |
| Do you live with children | ||
| No | 59 | 27.4 |
| Yes | 156 | 72.6 |
Descriptive Analysis of Frontline Nurses’ Feelings During COVID-19.
| Item | Very much | Moderate | Slight | Not at all | Mean | SD |
|
|---|---|---|---|---|---|---|---|
| 1. You think that your current frontline job comes from your social and moral responsibility. | N = 181 | N = 29 | N = 2 | N = 3 | 2.80 | 0.51 | 0.12** |
| 84.2% | 13.5% | 0.9% | 1.4% | ||||
| 2. You have felt nervous or afraid in the ward. | N = 49 | N = 85 | N = 41 | N = 40 | 1.67 | 1.03 | 0.46** |
| 22.8% | 39.5% | 19.1% | 18.6% | ||||
| 3. You were unhappy about working overtime during the outbreak. | N = 26 | N = 51 | N = 51 | N = 87 | 1.07 | 1.06 | 0.67** |
| 12.1% | 23.7% | 23.7% | 40.5% | ||||
| 4. You expect recognition of your work from the hospital authorities. | N = 55 | N = 50 | N = 31 | N = 79 | 1.38 | 1.22 | 0.23** |
| 25.6% | 23.3% | 14.4% | 36.7% | ||||
| 5. You expect to receive bonus compensation during or after the outbreak. | N = 47 | N = 41 | N = 48 | N = 79 | 1.26 | 1.17 | 0.30** |
| 21.9% | 19.1% | 22.3% | 36.7% | ||||
| 6. You try to reduce exposure to patients diagnosed with COVID-19. | N = 114 | N = 34 | N = 18 | N = 49 | 1.99 | 1.24 | 0.56** |
| 53% | 15.8% | 8.4% | 22.8% | ||||
| 7. You want to stop your present job. | N = 6 | N = 14 | N = 17 | N = 178 | 0.29 | 0.71 | 0.55** |
| 2.8% | 6.5% | 7.9% | 82.8% | ||||
| 8. You think HCWs who have not been exposed to COVID-19 should reduce their contact with you. | N = 96 | N = 50 | N = 32 | N = 37 | 1.95 | 1.13 | 0.32** |
| 44.7% | 23.3% | 14.9% | 17.2% | ||||
| 9. You want to be able to work in a unit where you do not have to deal with patients with COVID-19. | N = 43 | N = 43 | 26 | 103 | 1.12 | 1.21 | 0.58** |
| 20% | 20% | 12.1% | 47.9% | ||||
| 10. You notice that other HCWs outside your department are avoiding contact with infected patients. | N = 105 | N = 58 | 23 | 29 | 2.11 | 1.06 | 0.44** |
| 48.8% | 27% | 10.7% | 13.5% | ||||
| 11. If the epidemic suddenly gets worse, you will have to stop your job. | N = 4 | N = 12 | N = 9 | N = 190 | 0.21 | 0.62 | 0.56** |
| 1.9% | 5.6% | 4.2% | 88.4% | ||||
| 12. You feel angry because your workload is greater and more angry than other nurses who have not been exposed to COVID-19. | 26 | N = 42 | N = 49 | N = 98 | 0.98 | 1.07 | 0.55** |
| 12.1% | 19.5% | 22.8% | 45.6% | ||||
| 13. You want to call in sick. | N = 4 | N = 16 | N = 15 | N = 180 | 0.27 | 0.68 | 0.51** |
| 1.9% | 7.4% | 7% | 83.7% | ||||
| 14. You have been off work at least once. | N = 11 | N = 26 | N = 28 | N = 150 | 0.53 | 0.90 | 0.34** |
| 5.1% | 12.1% | 13% | 69.8% | ||||
| Overall mean (SD) | 1.25 | 0.47 | |||||
| Cronbach’s alpha (α) | 0.68 | ||||||
**Statistical significance at the 0.05 level.
Descriptive Analysis of Stressful Factors Among Frontline Nurses During COVID-19.
| Item | Very much | Moderate | Slight | Not at all | Mean | SD |
|
|---|---|---|---|---|---|---|---|
| Seeing colleagues who were infected | 82 | 55 | 42 | 36 | 1.85 | 1.11 | 0.75** |
| 38.1% | 25.6% | 19.5% | 16.7% | ||||
| You are worried about infecting your family | 187 | 18 | 1 | 9 | 2.78 | 0.66 | 0.32** |
| 87% | 8.4% | 0.5% | 4.2% | ||||
| Small mistakes or inattentions can make you or others infected | 157 | 42 | 14 | 2 | 2.65 | 0.65 | 0.42** |
| 73% | 19.5% | 6.5% | 0.9% | ||||
| Take care of your infected colleagues | 72 | 71 | 22 | 50 | 1.77 | 1.15 | 0.52** |
| 33.5% | 33% | 10.2% | 23.3% | ||||
| Seeing your infected patient die in front of you | 135 | 45 | 10 | 25 | 2.35 | 1.01 | 0.44** |
| 62.8% | 20.9% | 4.7% | 11.6% | ||||
| You do not know when the outbreak will be contained | 137 | 45 | 14 | 19 | 2.40 | 0.95 | 0.55** |
| 63.7% | 20.9% | 6.5% | 8.8% | ||||
| When suspected cases ask for your help frequently | 56 | 51 | 38 | 70 | 1.43 | 1.19 | 0.60** |
| 26% | 23.7% | 17.7% | 32.6% | ||||
| Lack of specific treatment for COVID-19 | 131 | 39 | 19 | 26 | 2.28 | 1.05 | 0.69** |
| 60.9% | 18.1% | 8.8% | 12.1% | ||||
| News and social media report the number of new cases every day | 97 | 55 | 39 | 24 | 2.05 | 1.04 | 0.65** |
| 45.1% | 25.6% | 18.1% | 11.2% | ||||
| You feel exhausted | 95 | 55 | 34 | 31 | 2.00 | 1.09 | 0.63** |
| 44.2% | 25.6% | 15.8% | 14.4% | ||||
| When you see your colleagues showing symptoms of infection | 109 | 47 | 30 | 29 | 2.10 | 1.09 | 0.61** |
| 50.7% | 21.9% | 14% | 13.5% | ||||
| When you have some respiratory symptoms, you worry whether you will be infected | 129 | 48 | 22 | 16 | 2.35 | 0.94 | 0.66** |
| 60% | 22.3% | 10.2% | 7.4% | ||||
| You were infected by an infected patient while working at the hospital | 107 | 46 | 21 | 41 | 2.02 | 1.17 | 0.73** |
| 49.8% | 21.4% | 9.8% | 19.1% | ||||
| You often feel weak and torn between your own responsibility and your life’s safety | 59 | 58 | 40 | 58 | 1.55 | 1.16 | 0.66** |
| 27.4% | 27% | 18.6% | 27% | ||||
| Seeing stress or fear from your colleagues | 79 | 61 | 43 | 32 | 1.87 | 1.07 | 0.71** |
| 36.7% | 28.4% | 20% | 14.9% | ||||
| You constantly screen yourself for infection | 62 | 58 | 38 | 57 | 1.58 | 1.16 | 0.68** |
| 28.8% | 27% | 17.7% | 26.5% | ||||
| Wearing protective clothing for many hours every day | 60 | 62 | 42 | 51 | 1.61 | 1.13 | 0.59** |
| 27.9% | 28.8% | 19.5% | 23.7% | ||||
| You think the current protection measures are still lacking | 80 | 62 | 48 | 25 | 1.92 | 1.03 | 0.40** |
| 37.2% | 28.8% | 22.3% | 11.6% | ||||
| Often faced with a lack of medical staff, medical equipment, medical resources, etc. | 95 | 54 | 37 | 29 | 2.00 | 1.08 | 0.43** |
| 44.2% | 25.1% | 17.2% | 13.5% | ||||
| Overall mean (SD) | 2.03 | 0.62 | |||||
| Cronbach’s alpha (α) | 0.90 | ||||||
**Statistical significance at the 0.05 level.
Descriptive Analysis of Stress Relievers Among Frontline Nurses During COVID-19.
| Item | Very much | Moderate | Slight | Not at all | Mean | SD |
|
|---|---|---|---|---|---|---|---|
| Positive attitude from your colleagues | 130 | 58 | 19 | 8 | 2.44 | 0.81 | 0.54** |
| 60.5% | 27% | 8.8% | 3.7% | ||||
| After effective protection measures have been taken, none of your colleagues have been infected with the virus | 94 | 59 | 31 | 31 | 2.00 | 1.08 | 0.52** |
| 43.7% | 27.4% | 14.4% | 14.4% | ||||
| Your patient is getting better | 158 | 41 | 12 | 4 | 2.64 | 0.67 | 0.46** |
| 73.5% | 19.1% | 5.6% | 1.9% | ||||
| Your infected colleague is getting better | 167 | 25 | 15 | 8 | 2.63 | 0.77 | 0.45** |
| 77.7% | 11.6% | 7% | 3.7% | ||||
| Your hospital provides you with effective safeguards | 156 | 36 | 16 | 7 | 2.59 | 0.77 | 0.46** |
| 72.6% | 16.7% | 7.4% | 3.3% | ||||
| Hospital’s correct guidance for infection prevention | 139 | 44 | 18 | 14 | 2.43 | 0.90 | 0.39** |
| 64.7% | 20.5% | 8.4% | 6.5% | ||||
| None of your family members are infected and they are in a relatively safe state | 170 | 31 | 7 | 7 | 2.69 | 0.69 | 0.36** |
| 79.1% | 14.4% | 3.3% | 3.3% | ||||
| Decrease in reported cases | 123 | 55 | 20 | 17 | 2.32 | 0.94 | 0.61** |
| 57.2% | 25.6% | 9.3% | 7.9% | ||||
| You receive financial compensation when you work in the field | 81 | 18 | 39 | 77 | 1.48 | 1.31 | 0.54** |
| 37.7% | 8.4% | 18.1% | 35.8% | ||||
| Your familiar friends, colleagues, and leaders work with you in the field | 154 | 31 | 13 | 17 | 2.50 | 0.92 | 0.62** |
| 71.6% | 14.4% | 6% | 7.9% | ||||
| Once you get infected, your trust in the hospital will give you peace of mind | 115 | 50 | 22 | 28 | 2.17 | 1.06 | 0.46** |
| 53.5% | 23.3% | 10.2% | 13% | ||||
| Joking and chatting with your colleagues | 147 | 47 | 13 | 8 | 2.55 | 0.77 | 0.53** |
| 68.4% | 21.9% | 6% | 3.7% | ||||
| No overtime (no need to work extra hours) | 118 | 53 | 24 | 20 | 2.25 | 0.99 | 0.46** |
| 54.9% | 24.7% | 11.2% | 9.3% | ||||
| Receiving free food and drinks prepared by the hospital for frontline staff | 84 | 36 | 22 | 73 | 1.61 | 1.31 | 0.48** |
| 39.1% | 16.7% | 10.2% | 34% | ||||
| Overall mean (SD) | 2.31 | 0.46 | |||||
| Cronbach’s alpha (α) | 0.76 | ||||||
**Statistical significance at the 0.05 level.
Descriptive Analysis of Coping Strategies Adopted by Frontline Nurses During COVID-19.
| Item | Very important | Important | Slightly important | Not at all important | Mean | SD |
|
|---|---|---|---|---|---|---|---|
| Following strict protective measures, such as handwashing, masks, face masks, protective clothing, etc. | 201 | 14 | 0 | 0 | 2.93 | 0.25 | 0.30** |
| 93.5% | 6.5% | 0 | 0 | ||||
| Every fever patient may be infected with COVID-19, even if the nucleic acid test (PCR) is negative | 69 | 72 | 66 | 8 | 1.94 | 0.88 | 0.52** |
| 32.1% | 33.5% | 30.7% | 3.7% | ||||
| Learning about COVID-19, its prevention, and mechanism of transmission | 177 | 34 | 4 | 0 | 2.80 | 0.44 | 0.34** |
| 82.3% | 15.8% | 1.9% | 0 | ||||
| Choosing a more single approach (loner) of travel, such as self-driving, and avoid transportation such as buses | 160 | 47 | 3 | 5 | 2.68 | 0.62 | 0.37** |
| 74.4% | 21.9% | 1.4% | 2.3% | ||||
| Enjoying leisure activities in your free time, such as watching movies, reading, etc. | 113 | 73 | 27 | 2 | 2.38 | 0.74 | 0.56** |
| 52.6% | 34% | 12.6% | 0.9% | ||||
| Chatting with family and friends to relieve stress and obtain support | 161 | 49 | 5 | 0 | 2.73 | 0.50 | 0.52** |
| 74.9% | 22.8% | 2.3% | 0 | ||||
| Talking to yourself and motivating to face the COVID-19 outbreak with positive attitude | 170 | 40 | 5 | 0 | 2.77 | 0.48 | 0.34** |
| 79.1% | 18.6% | 2.3% | 0 | ||||
| Seeking help from a psychologist | 45 | 57 | 51 | 62 | 1.40 | 1.11 | 0.73** |
| 20.9% | 26.5% | 23.7% | 28.8% | ||||
| Avoiding working overtime to reduce exposure to COVID-19 patients in hospital | 90 | 59 | 33 | 33 | 1.96 | 1.09 | 0.67** |
| 41.9% | 27.4% | 15.3% | 15.3% | ||||
| Avoid media news about COVID-19 and related fatalities | 49 | 72 | 63 | 31 | 1.65 | 0.99 | 0.58** |
| 22.8% | 33.5% | 29.3% | 14.4% | ||||
| Ventilated emotions by crying, screaming, etc. | 49 | 50 | 39 | 77 | 1.33 | 1.18 | 0.68** |
| 22.8% | 23.3% | 18.1% | 35.8% | ||||
| Overall mean (SD) | 2.23 | 0.42 | |||||
| Cronbach’s alpha (α) | 0.73 | ||||||
**Statistical significance at the 0.05 level.