Table 2.
Characteristics of studies conducted using Copenhagen Burnout Inventories and its types for burnout measurement (n=13).
| Research/study year/country | Title | Study design/ sample size/ RR |
Specialty tested | Overall mean, %/Burnout type: 1. Personal burnout 2. Work-related burnout 3. Patient-related burnout |
Important finding and outcome |
|---|---|---|---|---|---|
| Stein and Sibanda/2016/South Africa [26] | Burnout among paramedic students at a university in Johannesburg, South Africa | CSS/ N=93/ RR=85% |
Paramedic Students | 31% | SD ↔ Burnout types NSD ↔ Level of study |
| Chin et al/2016/Malaysia [27] | Prevalence of Burnout among Universiti Sains Malaysia medical students | CSS/ N=452/ RR=56% |
Medical Students | 67.9% Personal (81.6%), Work-related (73.7%) Patient-related (68.6%) |
SD ↔ Burnout types NSD ↔ Gender, year of study |
| Dewitt et al/2016/Australia [28] | Medical student satisfaction, coping and burnout in direct-entry versus graduate-entry programmes | CSS/ N=688/ RR=NM |
Medical Students | 51% | NM |
| Kulkarniet al/2016/India [29] | Stress and professional burnout among newly graduated dentists | CSS/ N=121/ RR=NM |
Graduated Dentists | 39.3% | SD ↔ Gender ↑ Females NSD ↔ Burnout types |
| Aboalshamat et al/2017/Saudi Arabia [30] | The relationship between burnout and perfectionism in medical and dental students in Saudi Arabia | CSS N=645/ R=NM |
Medical and Dental Students | 56.7% Minimal 32.1%/Significant 67.9% Personal (42.3%), Work-related (67.9%) Patient-related (NM) |
SD ↔ Family income, Clinical year ↑ → ↑ burnout NSD ↔ Gender, college type |
| Atlam/2018/Egypt [31] | Burnout syndrome: Determinants and Predictors among medical students of Tanta University, Egypt | CSS/ N=672/ RR=NM |
Medical Students | 79.9% Personal (56.8%), Work-related (60%) Patient-related (28.9%) |
SD ↔ Study level (↑ clinical year) → ↑ burnout NSD ↔ Gender |
| Fernando & Samara-nayake/2019/Sri Lanka [32] | Burnout among postgraduate doctors in Colombo: Prevalence, associated factors and association with self-reported patient care | CSS/ N=245/ RR=88% |
Postgraduate Doctors | 46% Personal (41.6%), Work-related (30.6%) Patient-related (8.9%) |
SD ↔ Gender ↑ Females NSD ↔ Specialty |
| Aljuhayman et al/2020/Saudi Arabia [33] | Assessment of burnout among urology residents in KSA: A cross-sectional study | CSS/ N=247/ RR=87% |
Urology Residents | 48% Personal (57.9%) Work-related (55.3%) Patient-related (37.7%) |
SD ↔ Gender ↑ Females (work-related), ↑ Males (personal and patient-related burnouts) NSD ↔ Burnout types |
| Mahfouz et al/2020/Saudi Arabia [34] | Burnout and its associated factors among medical students of Jazan University, Jazan, Saudi Arabia | CSS/ N=440/ RR=99% |
Medical Students | 60.2% | SD ↔ Gender, year of study ↑ Females |
| Alsulimani et al/2021/Saudi Arabia [35] | Health care worker burnout during the COVID-19 pandemic | CSS/ N=646/ RR=NM |
Healthcare Workers | ------ Personal 75% Work-related (75.1%) Patient-related (NM) |
SD ↔ Experience years, exposure to COVID-19, times to deal with patients with COVID-19 |
| Chalikkandy et al/2022/Saudi Arabia [36] | Burnout and Its relation to emotion dysregulation and social cognition among female interns and undergraduate dental students at King Khalid University | CSS/ N=148/ RR=NM |
Female Interns and Undergraduate Dental Students | ------ Interns Personal (56.7%) Work-related (56.1%) Patient-related (44.8%) |
SD ↔ Personal distress ↑ distress = ↑ burnout NSD ↔ Burnout types |
| ----- Undergraduates: Personal (57.9%) Work-related (57.4%) Patient-related (42.3%) | |||||
| Antoniadou M/2022/Greece [37] | Estimation of factors affecting burnout in Greek dentists before and during the COVID-19 pandemic | CSS/ N=804/ RR=13% |
Dentists | NM | SD ↔ Gender |
| Fiabane et al/2022/Italy [38] | Prevalence and determinants of Italian physicians’ burnout in the “post-COVID-19” era | CSS/ N=958/ RR=25% |
Healthcare Workers | 71.6% | SD ↔ Gender NSD ↔ Different specialty |