Table 4.
Characteristics of studies on burnout among medical students in the Middle East (N = 7)
First Author, Year | Country | Study population | Burnout assessment | EE (%) or mean ± SD | DP (%) or mean ± SD | PA (%) or mean ± SD | Overall Burnout or mean ± SD |
---|---|---|---|---|---|---|---|
Al-Alawi, 2017 [169] | Oman | Medical students (N = 662) | MBI | 30.1% | 33.9% | 31.1% | 7.4%^ |
Almalki, 2017 [170] | Saudi Arabia | Medical students (N = 249) | MBI-HSS | 62.2% | 58.6% | 60.2% | 67.1%* |
Altannir, 2019 [171] | Saudi Arabia | Medical students (N = 276) | MBI |
18.5 ± 10.3 17.4% |
14.2 ± 9.2 56.9% |
28.7 ± 9.5 14.9% |
13.4^ |
Ebrahimi, 2018 [172] | Iran | Medical students (N = 230) | MBI | 20.2 ± 10.2 | 6.7 ± 5.3 | 34.9 ± 8.6 | – |
Fares, 2016 [173] | Lebanon | Medical students (N = 165) | MBI-HSS | – | – | – | 75%+ |
Sevencan, 2010 [175] | Turkey | Medical students (N = 302) | MBI | 25.5 ± 7.5 | 11.3 ± 3.9 | 24.7 ± 3.4 | – |
Talih, 2018 [174] | Lebanon | Medical students (N = 176) | Burnout Measure | – | – | – | 43% |
Abbreviations: MBI = Maslach Burnout Inventory; MBI-HSS = Maslach Burnout Inventory - Human Services Survey
*Overall burnout prevalence based on high burnout score in at least one of the burnout categories
^Overall burnout prevalence based on high burnout scores in all three of the burnout categories
+Unclear how overall burnout prevalence was defined