| Literature DB >> 35646806 |
Yiyin Cao1, Lei Gao1, Lihua Fan1, Mingli Jiao1, Ye Li1, Yuanshuo Ma1.
Abstract
Objective: Globally, reducing job burnout among healthcare workers is considered a basic healthcare policy goal. Emotional intelligence, as an essential protective factor against psychosocial risks and a measurable positive psychological resource, still receives less attention in the process of reducing job burnout among healthcare workers. This study aims to explore the level of job burnout among healthcare workers who are victims of workplace violence in China, to examine the influence of emotional intelligence on job burnout among healthcare workers, and to verify the mediating role of workplace violence; furthermore, providing a new perspective for health organizations and hospital administrators in order to relieve the level of job burnout and workplace violence among healthcare workers.Entities:
Keywords: emotional intelligence; healthcare workers; job burnout; measure; workplace violence
Mesh:
Year: 2022 PMID: 35646806 PMCID: PMC9130825 DOI: 10.3389/fpubh.2022.892421
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Demographic characteristics of the whole sample (N = 825).
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| Gender | Men | 206 | 25.0 |
| Women | 619 | 75.0 | |
| Age group (years) | ≤ 30 | 393 | 47.6 |
| 31–50 | 379 | 45.9 | |
| ≥51 | 53 | 6.8 | |
| Education level | Junior college or below | 257 | 31.2 |
| College | 382 | 46.3 | |
| Master or above | 186 | 22.5 | |
| Marital status | Married | 562 | 68.1 |
| Single | 256 | 31.0 | |
| Other | 7 | 0.8 | |
| Profession | Physician | 318 | 38.5 |
| Nurse | 435 | 52.7 | |
| Medical technician | 72 | 8.7 | |
| Department | Emergency | 82 | 9.9 |
| Surgery | 123 | 14.9 | |
| Ward | 620 | 75.2 | |
| Years of experience | ≤ 4 | 306 | 37.1 |
| 5–10 | 272 | 33.0 | |
| ≥11 | 247 | 29.9 | |
| Daily contact with patients | ≤ 4 | 62 | 7.5 |
| 5–7 | 380 | 46.1 | |
| ≥8 | 383 | 46.4 |
Univariate analysis and description of each scale.
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| Gender | |||
| Male | 5.35 ± 4.74 | 73.56 ± 19.51 | 37.24 ± 12.94 |
| Female | 3.93 ± 3.43 | 76.65 ± 16.87 | 34.91 ± 13.85 |
| F/t | 4.64 | −2.05 | 2.38* |
| Age group (years) | |||
| ≤ 30 | 4.14 ± 3.95 | 76.59 ± 16.24 | 35.70 ± 13.26 |
| 31–50 | 4.29 ± 3.49 | 75.38 ± 18.40 | 35.74 ± 13.81 |
| ≥51 | 5.32 ± 5.21 | 75.00 ± 21.28 | 33.51 ± 15.51 |
| F/t | 2.21 | 0.53 | 0.64 |
| Education level | |||
| Junior college or below | 4.20 ± 3.95 | 76.18 ± 17.15 | 34.01 ± 13.31 |
| College | 4.38 ± 3.90 | 75.95 ± 17.84 | 35.20 ± 14.05 |
| Master or above | 4.29 ± 3.85 | 75.53 ± 17.80 | 38.46 ± 12.96 |
| F/t b | 0.22 | 0.07 | 6.03 |
| Marital status | |||
| Married | 4.37 ± 3.77 | 75.66 ± 18.50 | 36.13 ± 13.76 |
| Single | 4.10 ± 4.03 | 76.62 ± 15.28 | 34.13 ± 13.13 |
| Other | 4.71 ± 3.73 | 75.93 ± 17.60 | 43.29 ± 20.70 |
| F/t b | 0.47 | 1.26 | 3.03 |
| Profession | |||
| Physician | 4.50 ± 3.97 | 75.35 ± 18.59 | 37.03 ± 14.12 |
| Nurse | 4.20 ± 3.75 | 75.99 ± 16.87 | 34.84 ± 13.09 |
| Medical Technician | 3.86 ± 3.85 | 78.07 ± 17.48 | 33.49 ± 14.55 |
| F/t b | 1.02 | 0.71 | 3.27 |
| Department | |||
| Emergency | 5.59 ± 3.90 | 72.06 ± 19.09 | 34.45 ± 12.59 |
| Outpatient | 4.63 ± 4.43 | 75.62 ± 20.08 | 34.80 ± 14.57 |
| Ward | 4.04 ± 3.68 | 76.50 ± 16.82 | 35.87 ± 13.62 |
| F/t b | 6.48 | 2.33 | 0.61 |
| Years of experience | |||
| ≤ 4 | 3.74 ± 3.30 | 76.82 ± 16.43 | 34.82 ± 13.26 |
| 5–10 | 4.87 ± 4.28 | 74.45 ± 17.56 | 37.74 ± 13.08 |
| ≥11 | 4.33 ± 3.89 | 76.45 ± 18.96 | 34.10 ± 14.53 |
| F/t b | 6.34 | 1.47 | 5.40 |
| Daily contact with patients | |||
| ≤ 4 | 3.55 ± 3.04 | 77.50 ± 15.26 | 33.10 ± 12.89 |
| 5–7 | 4.44 ± 4.00 | 74.71 ± 17.78 | 36.12 ± 13.30 |
| ≥8 | 4.25 ± 3.80 | 76.88 ± 17.74 | 35.28 ± 14.11 |
| F/t b | 1.46 | 1.73 | 1.59 |
p <0.05;
p <0.01.
Statistics were estimated by t-test.
Statistics were estimated by ANOVA.
The Pearson correlation analysis among research variables.
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| Emotional intelligence | 75.93 ± 17.60 | 1 | ||||
| Workplace violence | 4.29 ± 3.85 | −0.22 | 1 | |||
| Emotional exhaustion | 13.04 ± 6.34 | −0.18 | 0.31 | 1 | ||
| Depersonalization | 8.00 ± 5.09 | −0.24 | 0.33 | 0.69 | 1 | |
| Reduced personal achievement | 14.53 ± 8.71 | −0.24 | 0.03 | −0.09 | 0.11 | 1 |
p <0.05;
p <0.01.
Direct and indirect effects and 95% confidence intervals for the final model.
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| Total effect | −0.20 | −0.25 | −0.10 |
| Direct effect | −0.11 | −0.17 | −0.02 |
| Indirect effect | −0.09 | −0.12 | −0.05 |
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| Total effect | −0.29 | −0.32 | −0.18 |
| Direct effect | −0.19 | −0.23 | −0.10 |
| Indirect effect | −0.10 | −0.13 | −0.05 |
p <0.05;
p <0.01.
Figure 1Workplace violence play a mediating role between Emotional intelligence and Emotional exhaustion, Depersonalization.