| Literature DB >> 33724585 |
Yunting Luo1,2,3, Xianqiong Feng3, Mingyue Zheng4,5, Dan Zhang6, Hong Xiao7, Ning Li8.
Abstract
AIM: To explore the current status of Chinese nurses' willingness to work during the COVID-19 pandemic and the factors that influence them.Entities:
Keywords: COVID-19; disaster nursing; management; workforce issues
Mesh:
Year: 2021 PMID: 33724585 PMCID: PMC8250264 DOI: 10.1111/jonm.13309
Source DB: PubMed Journal: J Nurs Manag ISSN: 0966-0429 Impact factor: 4.680
Participants’ socio‐demographic and professional characteristics
| Variables | Total |
|
|
| |
|---|---|---|---|---|---|
| Not willing | Willing | ||||
| Age | 30.79 (6.64) | 32.11 (7.97) | 30.66 (6.47) | 1.9768 | .050 |
| Gender | |||||
| Female | 1,285 (98.1%) | 122 (9.3%) | 1,163 (88.8%) | 0.006b | .937 |
| Male | 25 (1.9%) | 3 (0.2%) | 22 (1.7%) | ||
| Educational level | |||||
| Junior college or below | 543 (41.4%) | 60 (4.6%) | 483 (36.9%) | 2.442b | .118 |
| Undergraduate or above | 767 (58.5%) | 65 (5.0%) | 702 (53.6%) | ||
| Professional qualification | |||||
| Primary (registered nurses) | 987 (75.3%) | 91 (6.9%) | 896 (68.4%) | 0.682b | .711 |
| Middle (nurse in charge) | 267 (20.4%) | 29 (2.2%) | 238 (18.2%) | ||
| Senior (chief nurses) | 56 (4.3%) | 5 (0.4%) | 51 (3.9%) | ||
| Length of employment | |||||
| ≤5 | 395 (30.2%) | 35 (2.7%) | 360 (27.5%) | 10.977b | .012c |
| 6–10 | 578 (44.1%) | 46 (3.5%) | 532 (40.6%) | ||
| 11–20 | 217 (16.5%) | 23 (1.8%) | 194 (14.8%) | ||
| ≥21 | 120 (9.2%) | 21 (1.6%) | 99 (7.6%) | ||
| Department | |||||
| Respiratory infectious intensive care emergency | 233 (17.8%) | 15 (1.1%) | 218 (16.6%) | 3.180b | .204 |
| Surgical | 201 (15.3%) | 21 (1.6%) | 180 (13.7%) | ||
| Other | 876 (66.9%) | 89 (6.8%) | 787 (60.1%) | ||
| Marriage | |||||
| Unmarried | 349 (26.6%) | 30 (2.3%) | 319 (24.4%) | 1.853b | .603 |
| Married | 928 (70.9%) | 92 (7.0%) | 836 (63.8%) | ||
| Divorce | 29 (2.2%) | 2 (0.2%) | 27 (2.1%) | ||
| Widowed | 4 (0.3%) | 1 (0.1%) | 3 (0.2%) | ||
| Only child of your parents | |||||
| Yes | 405 (30.9%) | 46 (3.5%) | 359 (27.4%) | 2.240b | .134 |
| No | 905 (69.1%) | 79 (6.0%) | 826 (63.1%) | ||
| Children | |||||
| Yes | 795 (60.7%) | 80 (6.1%) | 715 (54.6%) | 0.636b | .425 |
| No | 515 (39.3%) | 45 (3.4%) | 470 (35.9%) | ||
| Number of children | |||||
| 0 | 515 (39.3%) | 45 (3.4%) | 470 (35.9%) | 0.640b | .726 |
| 1 | 564 (43.1%) | 57 (4.4%) | 507 (38.7%) | ||
| ≥2 | 231 (17.6%) | 23 (1.8%) | 208 (15.9%) | ||
| Whether family lives together | |||||
| Yes | 1,083 (82.7%) | 107 (8.2%) | 976 (74.5%) | 0.827b | .363 |
| No | 227 (17.3%) | 18 (1.4%) | 209 (16.0%) | ||
| Family member or friend diagnosed with COVID‐19 | |||||
| Yes | 9 (0.7%) | 1 (0.1%) | 8 (0.6%) | <0.001b | 1.000 |
| No | 1,301 (99.3%) | 124 (9.5%) | 1,177 (89.8%) | ||
| Infection prevention training | |||||
| Yes | 1,134 (86.6%) | 92 (7.0%) | 1,042 (79.5%) | 19.972b | <.001c |
| No | 176 (13.4%) | 33 (2.5%) | 143 (10.9%) | ||
| Public health emergencies training | |||||
| Yes | 842 (64.3%) | 72 (5.5%) | 770 (58.8%) | 2.681b | .102 |
| No | 468 (35.7%) | 53 (4.0%) | 415 (31.7%) | ||
| Participation in large non‐communicative public health events | |||||
| Yes | 88 (6.7%) | 7 (0.5%) | 81 (6.2%) | 0.275b | .600 |
| No | 1,222 (93.3%) | 118 (9.0%) | 1,104 (84.3%) | ||
| Participation in large communicative public health events | |||||
| Yes | 49 (3.7%) | 3 (0.2%) | 46 (3.5%) | 0.690b | .406 |
| No | 1,261 (96.3%) | 122 (9.3%) | 1,139 (86.9%) | ||
| Have voluntary participation in front‐line work | |||||
| Not yet | 1,002 (76.5%) | 119 (9.1%) | 883 (67.4%) | ||
| Yes | 308 (23.5%) | 6 (0.5%) | 302 (23.1%) | ||
| Isolation ward | 293 (22.4%) | 6 (0.5%) | 287 (21.9%) | ||
| Hubei | 65 (5.0%) | 0 (0.0%) | 65 (5.0%) | ||
Student's t test, bchi‐square test, c p < .05
Participants’ willingness to participate in front‐line work
| Items | Total | |
|---|---|---|
| Yes | No | |
| Would like to participate in the following front‐line work voluntarily when it is necessary. | 1,185 (90.5%) | 125 (9.5%) |
| Isolation ward in local hospital | 1,147 (87.5%) | 163 (12.5%) |
| Hubei support | 1,017 (77.6%) | 293 (22.4%) |
| Already participated in the following front‐line work voluntarily. | 308 (23.5%) | 1,002 (76.5%) |
| Isolation ward in local hospital | 293 (22.4%) | 1,017 (77.6%) |
| Hubei support | 65 (5.0%) | 1,245 (95.0%) |
Comparison of the factors that influence the willingness of front‐line workers
| Variables |
|
|
| |
|---|---|---|---|---|
| Not willing | Willing | |||
| Attitude and belief | 15.90 ± 3.44 | 17.54 ± 3.04 | −5.657a | <.001b |
| I am confident the medical protective equipment will protect me the COVID‐19 | 3.98 ± 0.96 | 4.41 ± 0.81 | −5.521a | <.001b |
| I am confident I will be able to prevent myself from getting infected with the COVID‐19 by following standard nursing protocols | 4.01 ± 0.94 | 4.45 ± 0.79 | −5.766a | <.001b |
| I believe that current nursing measures can improve the situation of patients with COVID‐19 | 4.02 ± 0.89 | 4.38 ± 0.82 | −4.754a | <.001b |
| I believe that the current treatment plan can treat COVID‐19 | 3.90 ± 0.92 | 4.31 ± 0.82 | −5.196a | <.001b |
| Self‐efficacy | 13.99 ± 3.20 | 16.27 ± 3.06 | −7.873a | <.001b |
| I have sufficient professional knowledge to participate in the treatment of patients with COVID‐19 pneumonia | 3.40 ± 0.88 | 3.99 ± 0.84 | −7.227a | <.001b |
| I have sufficient clinical nursing skills to participate in the treatment of patients with COVID‐19 pneumonia | 3.41 ± 0.87 | 4.05 ± 0.83 | −7.716a | <.001b |
| I have sufficient protective skills to ensure safety during work | 3.63 ± 0.86 | 4.12 ± 0.81 | −6.139a | <.001b |
| I can regulate the negative emotions such as fear and anxiety that may occur while treating patients | 3.54 ± 0.93 | 4.11 ± 0.87 | −6.492a | <.001b |
| Perceived risk | 6.61 ± 1.59 | 5.55 ± 1.75 | 6.975a | <.001b |
| If I participate in front‐line work, I am more likely to be infected | 3.30 ± 0.86 | 2.80 ± 0.96 | 6.105a | <.001b |
| If I am infected with the COVID‐19, I am more likely to die. | 3.31 ± 0.87 | 2.76 ± 0.94 | 6.287a | <.001b |
| Responding behaviours | 12.54 ± 5.51 | 10.71 ± 4.24 | 3.594a | <.001b |
| Since the outbreak, I have a slight cough and some discomfort in my throat, I suspect I have been infected. | 1.89 ± 1.08 | 1.62 ± 0.87 | 2.649a | .009b |
| Since the outbreak, I feel distraught and easily lose my temper. I cannot refrain from checking on information related COVID‐19, repeatedly. | 2.02 ± 1.19 | 1.62 ± 0.92 | 3.752a | <.001b |
| Since the outbreak, I have felt depressed and unhappy, with insufficient energy and decreased appetite. | 1.68 ± 1.42 | 0.99 ± 0.78 | 2.864a | .005b |
| Since the outbreak, I have suffered from poor sleep, difficulty falling asleep, and have been waking up easily. | 1.85 ± 1.16 | 1.53 ± 0.91 | 2.929a | .004b |
| Since the outbreak, I have to wash my hands and repeatedly disinfect to be at ease. | 3.35 ± 1.34 | 3.11 ± 1.47 | 1.779a | .760 |
| Since the outbreak, I have had feelings of discomfort, such as a headache, dizziness, fatigue, and gastrointestinal discomfort. | 1.75 ± 1.11 | 1.42 ± 0.76 | 3.302a | .001b |
| Facilitators | 29.76 ± 6.53 | 31.17 ± 6.11 | −2.432a | .015b |
| Social recognition | 3.8 ± 0.93 | 4.27 ± 0.84 | −5.836a | <.001b |
| Social responsibility | 4.01 ± 0.85 | 4.51 ± 0.69 | −7.596a | <.001b |
| Self‐worth | 3.95 ± 0.86 | 4.49 ± 0.70 | −7.964a | <.001b |
| Promotion of professional qualification | 3.43 ± 1.09 | 3.55 ± 1.15 | −1.071a | .284 |
| Economic award | 3.41 ± 1.07 | 3.40 ± 1.17 | 0.029a | .977 |
| A policy which benefits children's education | 3.60 ± 1.09 | 3.50 ± 1.21 | 0.858a | .391 |
| Assistance with caring for the elderly | 3.54 ± 1.12 | 3.50 ± 1.21 | 0.414a | .679 |
| Sufficient protective equipment | 4.02 ± 1.01 | 3.95 ± 1.10 | 0.681a | .496 |
| Barriers | 29.69 ± 6.35 | 25.47 ± 7.59 | 6.925a | <.001b |
| Worried about family care | 3.99 ± 1.00 | 3.53 ± 1.21 | 6.625a | <.001b |
| Worried about spreading disease to family and friends | 3.93 ± 1.05 | 3.41 ± 1.50 | 5.181a | <.001b |
| Worried about lack of family support | 3.80 ± 0.99 | 3.11 ± 1.24 | 7.156a | <.001b |
| Worried about lack of clinical ability | 3.69 ± 1.03 | 3.28 ± 1.16 | 4.252a | <.001b |
| Worried about lack of professional knowledge | 3.71 ± 0.98 | 3.27 ± 1.13 | 4.688a | <.001b |
| Worried about protective safety during work | 3.70 ± 0.97 | 3.12 ± 1.13 | 6.252a | <.001b |
| Worried about insufficient protective equipment | 3.62 ± 1.02 | 3.14 ± 1.15 | 4.507a | <.001b |
| Worried about insufficient rest time | 3.25 ± 1.06 | 2.79 ± 1.10 | 4.413a | <.001b |
aStudent's t test, b p < .05
Multiple logistic regression analysis of factors associated with willingness to work
| Variables | B |
| Wald |
|
| OR | 95% CI |
|---|---|---|---|---|---|---|---|
| Constant | 2.624 | 0.943 | 7.743 | 1 | .005a | 13.793 | |
| Length of employment | |||||||
| ≤5 years | 0.192 | 0.252 | 0.578 | 1 | .447 | 1.212 | 0.739–1.987 |
| 6–10 years | −0.427 | 0.310 | 1.904 | 1 | .168 | 0.652 | 0.356–1.197 |
| 11–15 years | −1.163 | 0.341 | 11.656 | 1 | .001a | 0.313 | 0.160–0.609 |
| Previous infection prevention training | −0.751 | 0.247 | 9.225 | 1 | .002a | 0.472 | 0.290–0.766 |
| Self‐efficacy | 0.122 | 0.034 | 13.198 | 1 | <.001a | 1.130 | 1.058–1.207 |
| Perceived risk | −0.207 | 0.068 | 9.193 | 1 | .002a | 0.813 | 0.711–0.929 |
| Self‐worth | 0.643 | 0.129 | 24.761 | 1 | <.001a | 1.903 | 1.477–2.451 |
| Worries about family care | −0.397 | 0.131 | 9.114 | 1 | .003a | 0.672 | 0.520–0.870 |
| Worries about family support | −0.337 | 0.125 | 7.228 | 1 | .007a | 0.714 | 0.559–0.913 |
Model parameters: a p < .05, chi‐square = 158.140, p < .001, Cox and Snell R‐square = 11.4%, Nagelkerke R‐square = 24.3%.