| Literature DB >> 34567827 |
Man Tang1, Yumie Sun2, Kaili Zhang1, Ruzhen Luo3, Yanhui Liu3, Hongyu Sun2, Fang Zhou1.
Abstract
OBJECTIVES: Professional identity plays an important role in the long-term development of nurses, and it will change when public health emergency occurs. The objective of this study is to investigate the factors associated with the professional identity of nursing undergraduates in the epidemic of COVID-19.Entities:
Keywords: COVID-19; Epidemics; Nursing specialties; Nursing students; Professional identity; Surveys and questionnaires
Year: 2021 PMID: 34567827 PMCID: PMC8452454 DOI: 10.1016/j.ijnss.2021.09.005
Source DB: PubMed Journal: Int J Nurs Sci ISSN: 2352-0132
Scores of nursing undergraduates’ professional identity in the early and late stages of COVID-19 (n = 3,875).
| Item | Early stage | Late stage | DLate-Early | ||
|---|---|---|---|---|---|
| Total score of professional identity | 56.96 ± 12.61 | 59.49 ± 12.41 | 2.53 ± 5.14 | 30.58 | <0.001 |
| Professional self-concept | 19.94 ± 5.48 | 21.05 ± 5.36 | 1.11 ± 2.52 | 27.50 | <0.001 |
| Retention benefits and turnover risks | 12.43 ± 3.67 | 12.92 ± 3.65 | 0.49 ± 1.45 | 21.08 | <0.001 |
| Social comparison and self-reflection | 10.75 ± 2.30 | 11.15 ± 2.24 | 0.40 ± 1.11 | 22.25 | <0.001 |
| Autonomy of career choice | 6.81 ± 1.45 | 6.92 ± 1.42 | 0.12 ± 0.82 | 8.99 | <0.001 |
| Social persuasion | 7.05 ± 2.01 | 7.45 ± 1.94 | 0.41 ± 1.01 | 25.00 | <0.001 |
Note: Data are Mean ± SD. D = difference value.
Nursing undergraduates’ characteristics and professional identity scores in the early and late stages of COVID-19 (n = 3,875).
| Characteristics | Early stage | Late stage | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gender | Male | 467 (12.1) | 55.80 ± 14.76 | 1.85 | 0.064 | 57.96 ± 14.69 | 2.45 | 0.015 | ||
| Female | 3,408 (87.9) | 57.12 ± 12.28 | 59.70 ± 12.05 | |||||||
| Age | <18 years | 25 (0.6) | 56.72 ± 12.61 | 0.10 | 0.924 | 61.16 ± 10.71 | 0.68 | 0.499 | ||
| ≥18 years | 3,850 (99.4) | 56.96 ± 12.62 | 59.47 ± 12.43 | |||||||
| Residential area | Central China | 170 (4.4) | 54.38 ± 11.89 | 4.06 | <0.001 | 57.90 ± 11.92 | 4.99 | <0.001 | ||
| North China | 981 (25.3) | 58.36 ± 13.29 | 60.80 ± 13.01 | |||||||
| East China | 1,588 (41.0) | 56.44 ± 12.01 | 58.68 ± 11.86 | |||||||
| Northeast China | 243 (6.3) | 56.93 ± 14.47 | 59.45 ± 14.42 | |||||||
| South China | 342 (8.8) | 56.55 ± 11.51 | 58.51 ± 11.59 | |||||||
| Southwest China | 308 (7.9) | 56.27 ± 11.88 | 59.64 ± 11.83 | |||||||
| Northwest China | 241 (6.2) | 58.14 ± 13.87 | 61.99 ± 13.13 | |||||||
| Ethnic groups | Han | 3,534 (91.2) | 56.94 ± 12.57 | 0.37 | 0.711 | 59.44 ± 12.40 | 0.83 | 0.408 | ||
| Others | 341 (8.8) | 57.21 ± 13.09 | 60.02 ± 12.44 | |||||||
| Per capita monthly income of family | <2,000 CNY | 1,062 (27.4) | 56.90 ± 12.44 | 0.30 | 0.827 | 60.15 ± 12.17 | 1.95 | 0.119 | ||
| 2,000–6,000 CNY | 2,103 (54.3) | 57.03 ± 12.28 | 59.33 ± 12.03 | |||||||
| 6,001–10,000 CNY | 548 (14.1) | 57.09 ± 13.73 | 59.26 ± 13.71 | |||||||
| >10,000 CNY | 162 (4.2) | 56.10 ± 14.07 | 58.01 ± 13.96 | |||||||
| University | University 1 | 833 (21.5) | 56.64 ± 12.46 | 10.03 | <0.001 | 58.69 ± 12.36 | 12.43 | <0.001 | ||
| University 2 | 469 (12.1) | 57.21 ± 10.91 | 59.67 ± 10.72 | |||||||
| University 3 | 507 (13.1) | 57.17 ± 12.55 | 59.63 ± 12.08 | |||||||
| University 4 | 558 (14.4) | 55.89 ± 13.52 | 58.18 ± 13.39 | |||||||
| University 5 | 525 (13.5) | 59.69 ± 12.79 | 62.90 ± 12.06 | |||||||
| University 6 | 368 (9.5) | 59.04 ± 12.02 | 62.17 ± 11.59 | |||||||
| University 7 | 295 (7.6) | 55.65 ± 13.70 | 58.36 ± 13.33 | |||||||
| Missing | 320 (8.3) | 53.34 ± 11.86 | 55.72 ± 12.38 | |||||||
| Major | Nursing | 3,394 (87.6) | 57.34 ± 12.46 | 27.79 | <0.001 | 59.91 ± 12.19 | 37.12 | <0.001 | ||
| Midwifery | 307 (7.9) | 56.69 ± 11.06 | 59.25 ± 11.01 | |||||||
| Rehabilitation nursing | 174 (4.5) | 50.09 ± 15.75 | 51.68 ± 15.92 | |||||||
| Reasons for major in nursing | Character suitable | Yes | 996 (25.7) | 64.22 ± 11.57 | 22.39 | <0.001 | 66.56 ± 10.91 | 23.12 | <0.001 | |
| No | 2,879 (74.3) | 54.45 ± 11.97 | 57.04 ± 11.95 | |||||||
| Realize professional ideal | Yes | 763 (19.7) | 65.22 ± 11.55 | 21.32 | <0.001 | 67.71 ± 10.47 | 23.48 | <0.001 | ||
| No | 3,112 (80.3) | 54.94 ± 12.02 | 57.47 ± 12.01 | |||||||
| Easy employment | Yes | 2,246 (58.0) | 58.68 ± 11.57 | 9.83 | <0.001 | 61.22 ± 11.20 | 10.02 | <0.001 | ||
| No | 1,629 (42.0) | 54.59 ± 13.57 | 57.11 ± 13.54 | |||||||
| Convenient for yourself or your family to go to the hospital | Yes | 1,069 (25.6) | 60.09 ± 11.98 | 9.65 | <0.001 | 62.62 ± 11.53 | 9.83 | <0.001 | ||
| No | 2,806 (72.4) | 55.77 ± 12.64 | 58.29 ± 12.52 | |||||||
| Forced to transfer to nursing | Yes | 1,365 (35.2) | 52.44 ± 12.09 | 17.11 | <0.001 | 55.34 ± 12.28 | 15.84 | <0.001 | ||
| No | 2,510 (64.8) | 61.75 ± 11.89 | ||||||||
| Others | Yes | 164 (4.2) | 51.75 ± 12.97 | 5.43 | <0.001 | 53.95 ± 12.99 | 5.87 | <0.001 | ||
| No | 3,711 (95.8) | 57.19 ± 12.55 | 59.73 ± 12.33 | |||||||
| Grade | First year | 1,437 (37.1) | 57.27 ± 12.70 | 1.86 | 0.114 | 60.18 ± 12.34 | 3.41 | 0.009 | ||
| Second year | 1,014 (26.2) | 56.81 ± 12.21 | 59.36 ± 11.96 | |||||||
| Third year | 938 (24.2) | 56.44 ± 13.20 | 58.86 ± 13.09 | |||||||
| Fourth year | 484 (12.4) | 57.47 ± 11.92 | 59.03 ± 12.00 | |||||||
| Fifth year | 2 (0.1) | – | – | |||||||
| In internship or not during this epidemic | Yes | 40 (1.0) | 59.30 ± 16.29 | 0.92 | 0.398 | 61.20 ± 15.59 | 0.82 | 0.439 | ||
| Yes, the internship was interrupted due to the epidemic | 491 (12.7) | 57.30 ± 12.30 | 58.98 ± 12.36 | |||||||
| No | 3,344 (86.3) | 56.89 ± 12.61 | 59.54 ± 12.37 | |||||||
| The impact of the epidemic on your intention to work after graduation | Very positive | 699 (18.0) | 65.77 ± 12.70 | 164.18 | <0.001 | 68.88 ± 11.38 | 229.36 | <0.001 | ||
| Relatively positive | 1,796 (46.3) | 57.13 ± 10.55 | 60.26 ± 9.94 | |||||||
| No impact | 1,088 (28.1) | 53.07 ± 12.38 | 54.55 ± 12.28 | |||||||
| Relatively negative | 258 (6.7) | 50.24 ± 12.21 | 51.68 ± 12.83 | |||||||
| Very negative | 34 (0.9) | 42.59 ± 17.01 | 42.97 ± 15.83 | |||||||
| Family’s attitude to clinical care | Strong support | 787 (20.3) | 61.98 ± 13.97 | 100.20 | <0.001 | 64.44 ± 13.49 | 95.59 | <0.001 | ||
| Noninterference | 2,675 (69.0) | 56.65 ± 11.61 | 59.12 ± 11.46 | |||||||
| Try to change your career | 399 (10.3) | 49.63 ± 11.79 | 52.72 ± 12.09 | |||||||
| Strongly opposed | 14 (0.4) | 42.71 ± 13.96 | 44.29 ± 15.53 | |||||||
| Ever contact with persons at high risk, suspected or diagnosed with COVID-19 | Yes | 20 (0.5) | 53.25 ± 16.58 | 1.01 | 0.327 | 55.60 ± 16.61 | −1.41 | 0.160 | ||
| No | 3,855 (99.5) | 56.98 ± 12.59 | 59.51 ± 12.38 | |||||||
| Ever care for persons at high risk, suspected or diagnosed with COVID-19 | Yes | 16 (0.4) | 50.31 ± 16.77 | 1.59 | 0.132 | 54.63 ± 18.55 | −1.05 | 0.309 | ||
| No | 3,859 (99.6) | 56.99 ± 12.59 | 59.51 ± 12.38 | |||||||
| Have any family members involved in the fight against COVID-19 | Yes | 195 (5.0) | 57.88 ± 13.43 | 1.04 | 0.299 | 60.22 ± 13.34 | 0.84 | 0.402 | ||
| No | 3,680 (95.0) | 56.91 ± 12.57 | 59.45 ± 12.36 | |||||||
| Have any friends or classmates involved in the fight against COVID-19 | Yes | 360 (9.3) | 59.67 ± 12.47 | 4.29 | <0.001 | 62.01 ± 12.21 | 4.05 | <0.001 | ||
| No | 3,515 (90.7) | 56.69 ± 12.60 | 59.23 ± 12.40 | |||||||
| Have any medical staff you are familiar with involved in the fight against COVID-19 | Yes | 1,192 (30.8) | 58.39 ± 12.13 | 4.71 | <0.001 | 60.89 ± 11.90 | 4.70 | <0.001 | ||
| No | 2,683 (69.2) | 56.33 ± 12.77 | 58.87 ± 12.58 | |||||||
Note: Data are n (%) or Mean ± SD.
Dummy variable coding and hierarchical variable assignment.
| Independent variables | Assignment or coding |
|---|---|
| Gender | Male = 0, Female = 1 |
| Residential area | Central China (0,0,0,0,0,0), North China (1,0,0,0,0,0), East China (0,1,0,0,0,0), Northeast China (0,0,1,0,0,0), South China (0,0,0,1,0,0), Southwest China (0,0,0,0,1,0), Northwest China (0,0,0,0,0,1) |
| Major | Nursing (0,0), Midwifery (1,0), Rehabilitation nursing (0,1) |
| The impact of the epidemic on your intention to work after graduation | Very negative = 1, Relatively negative = 2, No impact = 3, Relatively positive = 4, Very positive = 5 |
| Family’s attitude to clinical care | Strong support = 1, Noninterference = 2, Try to change your career = 3, Strongly opposed = 4 |
| Do you have any friends or classmates involved in the fight against COVID-19? | No = 0, Yes = 1 |
| Is there any medical staff close to you involved in the fight against COVID-19? | No = 0, Yes = 1 |
| Reasons for choosing your major | Character suitable (No = 0, Yes = 1), Realize professional ideal (No = 0, Yes = 1), Easy employment (No = 0, Yes = 1), Convenient for yourself or your family to go to the hospital (No = 0, Yes = 1), Forced to transfer to nursing (No = 0, Yes = 1) |
Stepwise Regression Analysis for factors that affected professional identity scores (n = 3,875).
| Variable | |||||
|---|---|---|---|---|---|
| Constant | 13.19 | 0.67 | – | 19.75 | <0.001 |
| Gender | |||||
| Female | 0.57 | 0.24 | 0.02 | 2.41 | 0.016 |
| Scores of professional identity in early stage | 0.85 | 0.01 | 0.86 | 119.53 | <0.001 |
| The impact of the epidemic on your intention to work after graduation | 1.48 | 0.10 | 0.10 | 15.20 | <0.001 |
| Major | |||||
| Rehabilitation nursing | −1.93 | 0.38 | −0.03 | −5.10 | <0.001 |
| Residential area | |||||
| Northwest China | 1.51 | 0.32 | 0.03 | 4.73 | <0.001 |
| Southwest China | 0.83 | 0.29 | 0.02 | 2.90 | 0.004 |
| Reasons for major in Nursing | |||||
| Realize professional ideal | 0.74 | 0.21 | 0.02 | 3.56 | <0.001 |
| Character suitable | 0.38 | 0.19 | 0.01 | 1.98 | 0.048 |
Note: R2 = 0.85, Adjusted R2 = 0.81, F = 2768.59, P <0.001.