Table 3 Characteristics of studies on burnout among combined populations of healthcare workers in the Middle East (N = 22)
1st author, Year | Country | Study population | Burnout assessment | EE (%) or mean ± SD | DP (%) or mean ± SD | PA (%) or mean ± SD | Overall Burnout or mean ± SD |
|---|---|---|---|---|---|---|---|
Abarghouei, 2016 [147] | Iran | Hospital personnel: (N = 340): health sector (N = 170) and administrative sector (N = 170) | MBI | 21.7 ± 7.3 | 9.6 ± 3.7 | 26.8 ± 6.2 | – |
Abdo, 2016 [148] | Egypt | Physicians (N = 266) and nurses (N = 284) at an emergency hospital | MBI | Nurses: 52.8% Physicians: 29.7% | Nurses: 44.4% Physicians: 45.6% | Nurses: 96.5% Physicians: 99.2% | – |
Alacacioglu, 2009 [149] | Turkey | Physicians (N = 77) and nurses (N = 56) at an oncology clinic | MBI | Nurses: 5.4% Physicians: 7.8% | Nurses: 5.4% Physicians: 15.6% | Nurses: 100% Physicians: 100% | – |
Alameddine, 2011 [150] | Lebanon | Employees working at an emergency department (N = 256): | MBI | 54.9% | 43.5% | 44.5% | – |
Alameddine, 2012 [151] | Lebanon | Health providers (N = 755) | MBI | 23.3% | 12.8% | 18.7% | – |
Alameddine, 2017 [152] | Lebanon | Health providers (N = 1000) | MBI-HSS | 22.1% | 10.8% | 42.1% | – |
Ashtari, 2009 [153] | Iran | Mental health service providers (N = 100) | MBI | 29.4 ± 6.9 | 9.3 ± 2.1 | 35.5 ± 7.0 | – |
Bijari, 2016 [154] | Iran | Rural health workers (N = 423) | MBI | 17.7% | 6.4% | 53% | 5.7%^ |
Calgan, 2011 [155] | Turkey | Community pharmacists (N = 251) | MBI | 16.8 | 4.0 | 22.0 | – |
Demirci, 2010 [156] | Turkey | Oncology employees (N = 90) | MBI | 23.80 ± 10.98 42% | 5.21 ± 4.99 20% | 36.23 ± 8.05 35.6% | – |
Devebakan, 2018 [157] | Turkey | Healthcare workers (N = 80) | MBI | – | – | – | – |
Gokcen, 2013 [158] | Turkey | Emergency department workers (N = 270): doctors(N = 630), nurses(N = 85), paramedics (N = 122) | MBI | 14.3 ± 8.2 | 6.5 ± 4.3 | 18.9 ± 6.5. |  |
Gulalp, 2008 [159] | Israel | Emergency physicians (N = 8) nurses (N = 40), and nurse’s aide (N = 12) | MBI | 19.1 ± 9.1 | 7.8 ± 4.7 | 22.3 ± 5.9 | – |
Guveli, 2015 [160] | Turkey | Oncology health workers (N = 159) | MBI | 14.2 ± 7.2 | 4.9 ± 3.4 | 6.2 ± 5.3 | – |
Hamdan, 2017 [161] | Palestine | Emergency workers: physicians (N = 142), nurses (N = 161), and administrative personnel (N = 141). | MBI-HSS | 64.8% | 38.1% | 34.6% | – |
Hosseiniarzfuni, 2015 [162] | Iran | Nurses (N = 35) and technicians (N = 32) | MBI | – | – | – | Technicians: 19%^ Nurses: 24%^ |
Kabir, 2016 [163] | Iran | Healthcare workers (N = 1141) | MBI | – | – | – | 9.1%^ |
Kömür 2017 [164] | Turkey | Mortuary staff (N = 142): forensic medicine specialists (N = 40), forensic medicine residents (N = 54), autopsy technicians (N = 45) and other staff members (N = 24) | MBI | 11.1 ± 6.6 14% | 8.2 ± 3.6 32.4% | 17.4 ± 5.5 76.1% | – |
Malakouti, 2011 [165] | Iran | Rural mental health workers (Behvarzes) (N = 212) | MBI | 14.5 ± 9.9 | 2.2 ± 3.4 | 33.8 ± 10.4 | – |
Tarcan, 2017 [166] | Turkey | Health professionals (N = 250): doctors (N = 38), nurses (N = 55), technicians (N = 118), and medical secretaries (N = 39). | MBI-HSS | 3.6 ± 1.3 | 2.8 ± 1.2 | 3.8 ± 1.1 | – |
Tekin, 2017 [167] | Turkey | Health care professionals (N = 120): nurses (N = 73) and doctors (N = 47) | MBI | Type D personality (negative): 20.7 ± 7.6 (positive): 16.3 ± 8.7 | Type D personality (negative): 6.8 ± 4.2 (positive): 4.5 ± 4.2 | Type D personality (negative): 11.7 ± 5.2 (positive): 9.7 ± 5.9 | – |
Tunc, 2009 [168] | Turkey | Health care professionals (250): physicians (N = 170) and nurses (N = 81) | MBI-HSS | Physicians: 1.6 ± 0.9 Nurses: 2.2 ± 0.9 | Physicians: 0.9 ± 0.7 Nurses: 1.3 ± 0.8 | Physicians: 1.0 ± 0.7 Nurses: 1.4 ± 0.8 | – |