Effect of soft skills and emotional intelligence of health-care professionals on burnout: a Lebanese cross-sectional study / Effekte von Soft Skills und emotionaler Intelligenz auf Burnout von Fachkräften im Gesundheitswesen: eine Querschnittsstudie aus dem Libanon
, und | 19. Dez. 2021
Über diesen Artikel
Online veröffentlicht: 19. Dez. 2021
Seitenbereich: 112 - 124
Eingereicht: 12. Juli 2021
Akzeptiert: 04. Nov. 2021
DOI: https://doi.org/10.2478/ijhp-2021-0011
Schlüsselwörter
© 2021 Micheline Sleiman Semaan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Burnout's predicting model.
| Soft skills | −0.216 | −0.137 | −0.207 | −0.067 | <0.001 |
| Emotional intelligence | −0.087 | −0.068 | −0.152 | 0.017 | 0.116 |
| Job satisfaction | −0.329 | −8.064 | −10.493 | −5.635 | <0.001 |
| Pharmacist | −0.063 | −1.576 | −4.462 | 1.310 | 0.283 |
| Physician | −0.027 | −1.122 | −5.706 | 3.466 | 0.631 |
| Other professions | −0.143 | −4.595 | −8.040 | −1.151 | 0.009 |
| Work Mount Lebanon | −0.107 | −2.496 | 0.666 | 1.502 | 0.075 |
| Work other | −0.258 | −9.015 | −16.379 | −1.651 | 0.017 |
| Residence Mount Lebanon | −0.072 | −1.776 | −5.252 | 1.701 | 0.316 |
| Residence other | 3.539 | 5.927 | −1.037 | 12.890 | 0.095 |
| Gender | −0.049 | 1.434 | 0.773 | 1.293 | 0.379 |
Soft skills, emotional intelligence, and burnout: bivariate analysis/
| Male | 141.14 |
0.158 | 86.15 ± 17.45 | 0.653 | 56.515 ± 12.110 | 0.052 |
| Female | 137.97 |
87.21 ± 14.35 | 59.669 ± 11.430 | |||
| Nurse | 138.10 ± 18.13 | 0.008 | 87.17 ± 15.56 | 0.500 | 60.452 ± 11.082 | 0.010 |
| Pharmacist | 136.52 ± 18.44 | 86.63 ± 15.07 | 59.584 ± 11.704 | |||
| Physician | 135.22 ± 18.57 | 83.66 ± 15.92 | 58.481 ± 13.351 | |||
| Other |
146.04 ± 17.11 | 89.08 ± 12.49 | 54.160 ± 10.997 | |||
| Beirut | 138.72 ± 19.12 | 0.623 | 86.89 ± 15.85 | 0.940 | 61.078 ± 11.482 | 0.034 |
| Mount Lebanon | 138.65 ± 18.59 | 86.89 ± 15.22 | 57.503 ± 11.174 | |||
| Other |
137.97 ± 14.87 | 87.78 ± 11.12 | 58.536 ± 12.950 | |||
| Beirut | 138.37 ± 16.56 | 0.402 | 87.00 ± 13.62 | 0.781 | 61.603 ± 11.581 | 0.094 |
| Mount Lebanon | 138.93 ± 19.76 | 86.69 ± 16.00 | 58.088 ± 11.366 | |||
| Other2 | 137.46 ± 13.75 | 88.32 ± 12.01 | 60.134 ± 12.360 | |||
| Yes | 138.50 ± 19.61 | 0.594 | 86.54 ± 16.34 | 0.394 | 56.317 ± 11.133 | <0.001 |
| No | 138.79 ± 15.6 | 87.90 ± 11.96 | 64.354 ± 10.706 | |||
| R = 0.238 | 0.000 | R = 0.060 | 0.281 | R = −0.19 | 0.727 | |
| R = 0.222 | 0.000 | R = 0.030 | 0.596 | R = 0.040 | 0.468 | |
| R = 0.021 | 0.700 | R = 0.046 | 0.405 | R = −0.007 | 0.893 | |
| R = 0.382 | 0.000 | - | - | R = −0.169 | 0.002 | |
| R = −0.278 | 0.000 | R = −0.169 | 0.002 | - | - | |
| - | - | R = 0.382 | 0.000 | R = −0.278 | 0.000 | |
Sociodemographic characteristics of the sample population.
| Gender | |
| Male | 64 (19.8%) |
| Female | 260 (80.2%) |
| Profession | |
| Nurse | 146 (45.1%) |
| Pharmacist | 101 (32.1%) |
| Physician | 27 (8.3%) |
| Other |
50 (15.4%) |
| Region of residence | |
| Beirut | 58 (17.4%) |
| Mount Lebanon | 214 (66.0%) |
| North | 21 (6.5%) |
| South | 13 (4.0%) |
| Nabatieh | 7 (2.2%) |
| Bekaa | 9 (2.8%) |
| Akkar | 1 (0.3%) |
| Baalbek/Hermel | 1 (0.3%) |
| Region of work practice | |
| Beirut | 128 (39.5%) |
| Mount Lebanon | 155 (47.8%) |
| North | 12 (3.7%) |
| South | 14 (4.3%) |
| Nabatieh | 6 (1.9%) |
| Bekaa | 7 (2.2%) |
| Akkar | 1 (0.3%) |
| Baalbek/Hermel | 1 (0.3%) |
| Mean ± SD | |
| Age | 30.95 ± 8.69 |
| Working experience in years | 8.08 ± 7.96 |
| Working hours per week | 41.59 ± 14.29 |