A study on the relationship between sociodemographic characteristics and job stress and satisfaction among healthcare workers in Turkey during the COVID-19 pandemic
, 
et | 04 avr. 2023
et | 04 avr. 2023
À propos de cet article
Article Category: Original article
Publié en ligne: 04 avr. 2023
Pages: 42 - 47
Reçu: 01 juil. 2022
Accepté: 01 févr. 2023
DOI: https://doi.org/10.2478/aiht-2023-74-3672
© 2023 Hasan Tuna et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Predictors of job stress and satisfaction by sociodemographic characteristics of healthcare workers
| Model | Job stress | Job satisfaction | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| B | SE | β | t | p | B | SE | β | t | p | |
| Constant | 26.96 | 1.40 | - | 19.25 | 64.97 | 4.26 | - | 15.24 | ||
| Gender | -0.39 | 0.45 | -0.04 | -0.86 | 0.388 | 0.50 | 1.38 | 0.02 | 0.36 | 0.718 |
| Marital status | -0.13 | 0.56 | -0.01 | -0.24 | 0.812 | -4.78 | 1.70 | -0.15 | -2.81 | |
| Department | -0.03 | 0.19 | -0.01 | -0.14 | 0.885 | 0.14 | 0.59 | 0.01 | 0.24 | 0.807 |
| Ever working in a COVID-19 ICU | 1.55 | 0.45 | 0.16 | 3.41 | -6.19 | 1.38 | -0.20 | -4.47 | ||
| Education | 0.19 | 0.32 | 0.03 | 0.60 | 0.548 | -4.56 | 0.97 | -0.24 | -4.71 | |
| Age | 0.10 | 0.04 | 0.14 | 2.33 | 0.22 | 0.12 | 0.10 | 1.76 | 0.079 | |
| R=0.23, R2=0.05, |
R=0.36, R2=0.12, |
|||||||||
Self-reported job stress and satisfaction by sociodemographic characteristics among healthcare workers
| Variables | Category | N | Job stress | Job satisfaction | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mean | SD | t/F | p | Mean | SD | t/F | p | |||
| Gender | Female | 280 | 27.27 | 4.65 | t=0.98 | 0.330 | 62.44 | 4.70 | t=-0.97 | 0.335 |
| Male | 174 | 26.82 | 4.96 | 63.86 | 5.19 | |||||
| Marital status | Single | 289 | 26.77 | 4.98 | t=-2.01 | 65.13 | 14.75 | t=4.06 | ||
| Married | 165 | 27.67 | 4.35 | 59.22 | 15.19 | |||||
| Department | 1. Emergency | 78 | 27.36 | 4.56 | F=1.10 | 0.350 | 60.19 | 14.24 | F=9.22 | |
| 2. Outpatient clinic | 105 | 26.44 | 4.77 | 68.02 | 14.65 | |||||
| 3. COVID-19 ICU# | 64 | 27.70 | 4.41 | 56.48 | 12.34 | |||||
| 4. Other (surgery, radiology, lab, etc.) | 207 | 27.15 | 4.96 | 63.49 | 15.66 | |||||
| Ever working in a COVID-19 ICU | Yes | 270 | 27.78 | 4.34 | t=3.60 | 59.98 | 14.95 | t=-5.26 | ||
| No | 184 | 26.10 | 5.20 | 67.39 | 14.40 | |||||
| Education | 1. Secondary | 48 | 25.81 | 5.02 | F=2.40 | 0.067 | 69.27 | 14.27 | F=15.47 | |
| 2. Vocational | 181 | 26.78 | 5.29 | 67.05 | 15.42 | |||||
| 3. Bachelor’s degree | 183 | 27.57 | 4.33 | 58.15 | 13.73 | |||||
| 4. Master’s degree and higher | 42 | 27.86 | 3.59 | 59.31 | 13.67 | |||||
Healthcare worker distribution by sociodemographic characteristics (N=454)
| Variables | Total |
Female |
Male |
χ2 | p* | |
|---|---|---|---|---|---|---|
| Marital status | Single | 289 | 177 (63.2) | 112 (64.4) | 0.06 | 0.804 |
| Married | 165 | 103 (36.8) | 62 (35.6) | |||
| Department | Emergency | 78 | 51 (18.2) | 27 (15.5) | 13.36 | |
| Outpatient clinic | 105 | 50 (17.9) | 55 (31.6) | |||
| COVID-19 ICU# | 64 | 47 (16.8) | 17 (9.8) | |||
| Other (surgery, radiology, laboratory, etc.) | 207 | 132 (47.1) | 75 (43.1) | |||
| Ever working in a COVID-19 ICU | Yes | 270 | 168 (60.0) | 102 (58.6) | 0.08 | 0.771 |
| No | 184 | 112 (40.0) | 72 (41.4) | |||
| Education | Secondary | 48 | 30 (10.7) | 18 (10.3) | 13.02 | |
| Vocational | 181 | 94 (33.6) | 87 (50.0) | |||
| Bachelor’s degree | 183 | 128 (45.7) | 55 (31.6) | |||
| Master’s degree and higher | 42 | 28 (10.0) | 14 (8.0) | |||
| Age | 27.89±7.23 | 27.92±7.23 | 27.85±7.24 | 0.10 | 0.923 |