Table 1.
Main characteristics of included studies. Studies are sorted according to profession (Healthcare workers first and non-Healthcare workers after), then Questionnaire used to investigate Ethics (most frequently used first, least frequently used after), and lastly by Questionnaire used to investigate Burnout (most frequently used first, least frequently used after)
| Author (year) | Country | Occupation | Study timeframe | Sample Size | Gender | Ethics Questionnaire | Burnout Questionnaire | Correlation between Ethics and Burnout | p Value |
|---|---|---|---|---|---|---|---|---|---|
| Rivaz et al. (2020) | Iran | Nurses | 2019 | 193 |
M: 67 (34.7%) F: 126 (65.3%) |
The Hospital Ethical Climate Survey | Maslach Burnout Inventory | Negative | <0.01 |
| Maffoni et al. (2021) | Italy | Healthcare professionals | NR | 315 |
M: 104 (33.0%) F: 211 (67.0%) |
The Hospital Ethical Climate Survey | Maslach Burnout Inventory - General Survey | Negative | <0.01 |
| Barr et al. (2020) | Australia | Nurses and midwives | 2019 | 136 |
M: 0 F: 136 (100.0%) |
The Hospital Ethical Climate Survey | Burnout Measure | Negative | <0.001 |
| Tehranineshat et al. (2020) | Iran | Nurses | 2018 - 2019 | 400 |
M: 160 (40.0%) F: 240 (60.0%) |
The Hospital Ethical Climate Survey | The Professional Quality of Life Scale | Positive | 0.02 |
| Franczukowska et al. (2021) | Austria | Healthcare professionals | 2016 - 2017 | 458 |
M: 156 (34.0%) F: 302 (66.9%) |
Ethical Leadership Scale | Maslach Burnout Inventory | Negative | <0.01 |
| Plouffe et al. (2021) | Canada | Healthcare workers | NR | 1362 |
M: 92 (6.8%) F: 974 (71.5%) |
Ethics Environment Questionnaire | Expanded Well-Being Index | Negative | <0.001 |
| Bao et al. (2013) | Spain | Nurses | 2009 | 234 |
M: 20 (8.5%) F: 214 (91.5%) |
Tri-axial model of values | Shirom-Melamed Burnout Measure | Negative | <0.05 |
| Akanni et al. (2019) | South Africa | Bank workers | NR | 226 |
M: 121 (53.5%) F: 105 (46.5%) |
Ethical Leadership Scale | Maslach Burnout Inventory for Human Service - Emotional Exhaustion Items | Negative | <0.05 |
| Vullinghs et al. (2020) | Netherlands | Retail employees | NR | 386 |
M: 174 (45.0%) F: 212 (55.0%) |
Ethical Leadership Scale | Maslach Burnout Inventory - General Survey | Negative | <0.001 |
| Mo and Shi (2017) | China | Pharmaceutical retail | NR | 292 |
M: 199 (68.2%) F: 93 (31.8%) |
Ethical Leadership Scale | Maslach Burnout Inventory | Negative | <0.05 |
| Huhtala et al. (2020) | Finland | Technical and commercial Leaders | 2009 - 2015 | 567 |
M: 386 (68.0%) F: 181 (32.0%) |
Corporate Ethical Virtues Scale | Bergen Burnout Inventory | Negative | <0.001 |
| Huhtala et al. (2014) | Finland | Public employees | 2011 | 2146 |
M: 322 (25.0%) F: 1824 (85.0%) |
Corporate Ethical Virtues Scale | Bergen Burnout inventory | Negative | NR |
| Dal Corso et al. (2019) | Italy | Safety representatives | NR | 439 |
M: 348 (79.3%) F: 91 (20.7%) |
Qu-Bo test | Qu-Bo test | Negative | <0.01 |