Table 1.
Characteristics of included studies
| Study | Number of respondents (response rate, %) | Department/specialty | Participants | Location | Scale/s used to asses burnout |
|---|---|---|---|---|---|
| Khanna et al., 2013[25] | 576 (36%) | All medical specialties | Doctors, nurses, physiotherapists | Rajasthan | MBI |
| Swami et al., 2013[23] | 56 (64%) | Medical and surgical specialties | Resident doctors | Rajasthan | SMBM |
| Reddy et al., 2014 | 416 (unclear) | Dentistry | Faculties and students | Andhra Pradesh | MBI |
| Shetty et al., 2015[26] | 72 (57%) | Dentistry | Post graduate dental students | Karnataka | MBI |
| Jugale et al., 2016[1] | 68 (59%) | Dentistry | Dentists | Karnataka | 6 item MBI |
| Kulkarni et al., 2016[24] | 97 (80%) | Dentistry | Newly graduate dentists | Udaipur | CBI |
| Langade et al., 2016[20] | 482 (5%) | All medical specialties | Registered medical practitioners | Across India | Abbreviated MBI and BCQS-12 |
| Ratnakaran et al., 2016[22] | 558 (77%) | All medical specialties | Interns and residents | Kerala | CBI |
| Shetty et al., 2017[27] | 299 (14%) | Orthopedic surgery | Physicians | Across India | MBI |
| Wilson et al., 2017[16] | 105 (unclear) | Emergency department | Nurses, residents and doctors | South India | MBI |
| Gandhi et al., 2018[19] | 200 (100%) | Anesthesia, and surgical branches | Residents | Chandigarh | BCSQ-12 |
| Grover et al., 2018[13] | 445 (26%) | All specialities (except psychiatry) | Residents and faculty | Chandigarh | MBI |
| Sreelatha et al., 2018[28] | 100 (55%) | All specialities | Residents | Andhra Pradesh | MBI |
| Chichra et al., 2019[29] | 303 (58%) | All specialities | Faculty | Tamil Nadu | MBI |
| Baruah et al., 2019[30] | 68 (unclear) | Emergency department | Doctors, nurses, paramedics | Assam | MBI |
MBI - Maslach Burnout Inventory; CBI - Copenhagen Burnout Inventory; BCSQ - Burnout Clinical Subtype Questionnaire; SMBM - Shirom-Melamed Burnout Measure