| Literature DB >> 35434870 |
Yaping Zhong1, Huan Zhao2, Xiaolei Wang3, Ji Ji4.
Abstract
AIM: To explore junior nurses' and final-year student nurses' intention to care for COVID-19 patients amidst the Delta COVID-19 variant outbreak in China using the theory of planned behaviour (TPB) as a framework.Entities:
Keywords: COVID-19; China; intention; nurses; patient care
Year: 2022 PMID: 35434870 PMCID: PMC9115239 DOI: 10.1111/jonm.13639
Source DB: PubMed Journal: J Nurs Manag ISSN: 0966-0429 Impact factor: 4.680
The theory of planned behaviour scales and reliability measures
| TPB constructs | Number of items | Score range | Cronbach's alpha | Sample item (1 = |
|---|---|---|---|---|
| Behavioural intention | 3 | 3–15 | .87 | I am willing to volunteer to care for COVID‐19 patients if required next year. |
| Attitude | 10 | 10–50 | .77 | I believe caring for COVID‐19 patients would allow me to receive financial rewards and this is important to me. |
| Subjective norms | 12 | 6–150 | .87 | My family would support my decision to care for COVID‐19 patients. |
| Perceived behavioural control | 9 | 9–45 | .92 | I am confident in my capability to work with COVID‐19 patients even when there is PPE shortage. |
Abbreviation: PPE, personal protective equipment.
Bivariate analyses of demographic variables and the theory of planned behaviour variables (N = 547)
| Demographic variables | Sample, | Behavioural intention | Attitude | Subjective norms | Perceived behavioural control | ||||
|---|---|---|---|---|---|---|---|---|---|
| M (SD) |
| M (SD) |
| M (SD) |
| M (SD) |
| ||
| Gender | |||||||||
| Male | 91 (16.6) | 11.8 (2.6) | 1.982 | 31.3 (4.4) | −0.113 | 79.8 (34.4) | 2.467 | 30.0 (8.3) | 3.013 |
| Female | 456 (83.4) | 11.3 (2.3) | 31.3 (4.4) | 70.3 (27.9) | 27.3 (7.9) | ||||
| Identity | |||||||||
| Final‐year student nurses | 391 (71.5) | 11.3 (2.3) | −0.840 | 31.4 (4.4) | 0.504 | 71.1 (28.9) | −1.003 | 27.9 (8.1) | 0.557 |
| Junior nurses | 156 (28.5) | 11.5 (2.5) | 31.2 (4.4) | 73.9 (30.1) | 27.4 (7.7) | ||||
| Level of education | |||||||||
| Associate degree | 48 (8.8) | 11.8 (2.1) | 1.341 | 33.8 (5.5) | 8.847 | 70.6 (26.5) | 1.029 | 29.3 (6.3) | 1.151 |
| Bachelor's degree | 441 (80.6) | 11.3 (2.4) | 31.1 (4.1) | 71.3 (29.7) | 27.5 (8.1) | ||||
| Master's degree or higher | 58 (10.6) | 11.6 (2.3) | 31.4 (4.3) | 77.1 (27.6) | 28.1 (8.3) | ||||
| Marital status | |||||||||
| Unmarried | 521 (95.2) | 11.3 (2.4) | −0.747 | 31.4 (4.3) | 1.080 | 71.9 (29.2) | −0.346 | 27.8 (8.0) | 0.376 |
| Married | 26 (4.8) | 11.7 (2.2) | 30.4 (5.6) | 73.9 (28.4) | 27.2 (7.9) | ||||
| Work/clinical placement setting | |||||||||
| ED/ICU | 107 (19.6) | 11.1 (2.6) | 0.686 | 30.5 (4.1) | 3.331 | 70.4 (30.2) | 0.258 | 26.9 (8.6) | 1.082 |
| Non‐acute inpatient | 432 (78.9) | 11.4 (2.4) | 31.5 (4.4) | 72.3 (29.2) | 27.9 (7.9) | ||||
| Outpatient | 8 (1.5) | 10.9 (2.2) | 33.8 (4.6) | 67.9 (19.8) | 30.5 (5.7) | ||||
| Received at least one dose of COVID‐19 vaccine | |||||||||
| Yes | 533 (97.4) | 11.4 (2.4) | 2.354 | 31.3 (4.4) | −0.217 | 72.0 (29.0) | 0.668 | 27.8 (8.1) | 1.499 |
| No | 14 (2.6) | 9.9 (3.0) | 31.6 (2.2) | 66.7 (37.1) | 24.6 (5.0) | ||||
| Professional experience with COVID‐19 patients | |||||||||
| Yes | 25 (4.6) | 11.5 (3.1) | 0.303 | 31.6 (5.6) | 0.373 | 72.0 (34.1) | 0.029 | 27.6 (6.6) | −0.084 |
| No | 522 (95.4) | 11.3 (2.4) | 31.3 (4.3) | 71.9 (29.0) | 27.7 (8.1) | ||||
| Personal experience with COVID‐19 patients | |||||||||
| Yes | 6 (1.1) | 9.8 (4.0) | −1.550 | 32.2 (4.0) | 0.477 | 57.7 (28.6) | −1.197 | 25.2 (8.4) | −0.789 |
| No | 541 (98.9) | 11.4 (2.4) | 31.3 (4.4) | 72.0 (29.2) | 27.8 (8.0) | ||||
| Nursing ethics education | |||||||||
| Yes | 514 (94.0) | 11.4 (2.4) | 1.740 | 31.4 (4.4) | 0.932 | 72.2 (29.3) | 1.080 | 27.9 (8.1) | 1.531 |
| No | 33 (6.0) | 10.7 (2.9) | 30.7 (3.5) | 66.6 (27.8) | 25.7 (6.7) | ||||
| Nurses have a right to refuse care provision to certain patients | |||||||||
| Yes | 169 (30.9) | 10.9 (2.8) | 9.360 | 30.2 (3.8) | 9.182 | 69.6 (29.4) | 4.213 | 26.7 (8.6) | 4.980 |
| No | 217 (39.7) | 11.9 (2.1) | 32.1 (4.9) | 76.3 (31.3) | 29.0 (8.0) | ||||
| Unsure | 161 (29.4) | 11.2 (2.2) | 31.4 (3.9) | 68.3 (25.4) | 27.1 (7.1) | ||||
| Caring for COVID‐19 patients presents an ethical dilemma for me | |||||||||
| Yes | 92 (16.8) | 10.4 (2.9) | 17.793 | 29.6 (3.9) | 24.568 | 64.5 (25.1) | 10.81 | 24.5 (8.6) | 15.605 |
| No | 291 (53.2) | 11.9 (2.3) | 32.5 (4.7) | 77.2 (33.0) | 29.4 (8.1) | ||||
| Unsure | 164 (30.0) | 10.9 (2.0) | 30.2 (3.3) | 66.6 (21.7) | 26.6 (6.8) | ||||
t applies to two‐group comparisons, and F applies to three‐group comparisons.
p ≤ .001.
p < 0.05.
Descriptive statistics and correlation matrix of the theory of planned behaviour variables (N = 547)
| Variable | Mean (SD) | Behavioural intention | Attitude | Subjective norms | Perceived behavioural control |
|---|---|---|---|---|---|
| Behavioural intention | 11.3 (2.4) | 1 | |||
| Attitude | 31.3 (4.4) | .380 | 1 | ||
| Subjective norms | 71.9 (29.2) | .592 | .225 | 1 | |
| Perceived behavioural control | 27.7 (8.0) | .528 | .306 | .543 | 1 |
p ≤ .001.
Stepwise regression analyses of the theory of planned behaviour variables (N = 547)
| Independent variable/predictor | Standardized coefficient |
|
| Model adjusted |
|
|---|---|---|---|---|---|
| Behavioural intention (constant) | 5.789 | ||||
| Subjective norms | .415 | 10.955 | .35 | ||
| Attitude | .213 | 6.382 | .06 | ||
| Perceived behavioural control | .238 | 6.137 | .04 | .45 | 149.685 |
p ≤ .001.