| Literature DB >> 30901363 |
Othman A Alfuqaha1,2, Mahmoud Y Alkawareek3, Hussein S Alsharah1.
Abstract
The aim of this study is to evaluate the contribution of self-evaluation, professional status and several demographic factors in predicting burnout among nurses in Jordan. This study was performed on a stratified convenience sample of 350 nurses from 6 hospitals. Modified versions of burnout inventory, self-evaluation scale, and professional status scale were developed, validated and used in this study. Burnout, self-evaluation, and professional status are all found to be at moderate levels. Furthermore, self-evaluation and professional status are found to be important predictors of burnout. On the other hand, although type of hospital and educational level are found to be associated with the level of burnout, overall none of the studied demographic factors was found to be a significant predictor of burnout among nurses in Jordan.Entities:
Mesh:
Year: 2019 PMID: 30901363 PMCID: PMC6430417 DOI: 10.1371/journal.pone.0213935
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Properties of study sample (N = 350).
| Male | 147 | 42 | |
| Female | 227 | 64.9 | |
| Single | 149 | 42.6 | |
| Married | 201 | 57.4 | |
| Public | 203 | 58 | |
| Private | 147 | 42 | |
| 1-5Y | 163 | 46.6 | |
| 6-10Y | 102 | 29.1 | |
| ≥11Y | 85 | 24.3 | |
| Surgical Ward | 101 | 28.9 | |
| Medical Ward | 82 | 23.4 | |
| Intensive Care Unit | 79 | 22.6 | |
| Emergency Room | 88 | 25.1 | |
| Diploma | 68 | 19.4 | |
| Bachelor | 228 | 65.1 | |
| Post Graduate | 54 | 15.4 |
Correlation coefficients, Cronbach's alpha, and test- retest values for the modified-MBI used in this study.
| - | 0.88 | 0.65 | 0.82 | 0.80 | |
| - | - | 0.51 | 0.75 | 0.84 | |
| - | - | - | 0.73 | 0.81 | |
| 0.79 | 0.74 | 0.72 | 0.76 | 0.82 |
Mean, standard deviation, and overall level for all variables.
| 3.29 | 0.62 | Moderate | |
| 2.53 | 0.73 | Moderate | |
| 2.86 | 0.60 | Moderate | |
| 2.92 | 0.49 | Moderate | |
| 2.77 | 0.36 | Moderate | |
| 2.38 | 0.56 | Moderate |
Results of multiple linear regression analysis (stepwise regression) for burnout predictors.
| 0.696 | 0.484 | 0.484 | B | Std. Error | 53.382 | <0.001 | |
| 4.354 | 0.082 | ||||||
| -0.603 | 0.033 | -18.077 | <0.001 | ||||
| 0.732 | 0.536 | 0.052 | 5.067 | 0.149 | 36.51 | <0.001 | |
| -0.493 | 0.039 | -13.55 | <0.001 | ||||
| -0.352 | 0.061 | -6.169 | <0.001 | ||||
aPredictors: (Constant), Professional Status (PS).
bPredictors: (Constant), Professional Status, Self-Evaluation(SE).
**Significant at α≤0.05 level.
Results of the excluded variables according to the multiple linear regression analysis for burnout predictors.
| Gender | .003 | .081 | .935 | .004 | |
| Marital Status | -.035 | -.919 | .359 | -.049 | |
| Type of hospital | .061 | 1.566 | .118 | .084 | |
| Experience | -.002 | -.052 | .959 | -.003 | |
| Work position | -.035 | -.899 | .369 | -.048 | |
| Educational level | .085 | 2.176 | .030 | .116 | |
| Self-Evaluation | -.260 | -6.196 | .000 | -.316 | |
| Gender | .010 | .259 | .796 | .014 | |
| Marital Status | -.058 | -1.592 | .112 | -.085 | |
| Type of hospital | .054 | 1.472 | .142 | .079 | |
| Experience | -.038 | -1.021 | .308 | -.055 | |
| Work position | -.028 | -.753 | .452 | -.040 | |
| Educational level | .068 | 1.803 | .072 | .096 |
b. Predictors in the Model: (Constant), PS.
c. Predictors in the Model: (Constant), PS, SE.
Predictors of burnout and their contribution to variance according to the type of hospital.
| Overall | Public Hospitals | Private Hospitals | |
|---|---|---|---|
| 48.4% | 55.3% | 35.6% | |
| 5.1% | 5.8% | 4.0% | |
| - | 0.8% | - | |