About the Author(s)

Tejil Morar Email symbol
Department of Psychiatry, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Gauteng Department of Health, Sterkfontein Hospital, Johannesburg, South Africa

Belinda Marais symbol
Department of Psychiatry, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Gauteng Department of Health, Tara Hospital, Johannesburg, South Africa


Morar T, Marais B. Exploring burnout among psychiatric trainees at a South African university. S Afr J Psychiat. 2022;28(0), a1634. https://doi.org/10.4102/sajpsychiatry.v28i0.1634

Original Research

Exploring burnout among psychiatric trainees at a South African university

Tejil Morar, Belinda Marais

Received: 17 Sept. 2020; Accepted: 06 Sept. 2021; Published: 25 Feb. 2022

Copyright: © 2022. The Author(s). Licensee: AOSIS.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background: The mental health of doctors is increasingly topical, internationally and locally. Of importance is the phenomenon of burnout, a far-reaching repercussion of chronic work-related stress. Psychiatrists are more vulnerable to stress, burnout and suicide in comparison with other medical specialities. There is a void in published research relating to South African psychiatric trainees.

Aim: The study aimed to investigate burnout and associated factors among psychiatric registrars at a South African university.

Setting: Department of Psychiatry at the University of the Witwatersrand.

Methods: This was a cross-sectional study via an anonymous self-administered questionnaire. The questionnaire comprised three sections: demographics; the Maslach Burnout Inventory Human Services Survey (MBI-HSS) and questions relating to contributing factors, protective factors and consequences of burnout. The MBI-HSS is recognised as the leading measure of burnout, consisting of three subscales: emotional exhaustion (EE), depersonalisation (DP) and personal accomplishment (PA).

Results: The questionnaire was completed by 33 out of 55 psychiatric registrars (60.0% response rate). Data from 31 registrars were used in the analyses, as two registrars did not provide informed consent. Among participants, EE was the most commonly affected, followed by DP and lastly PA. The majority (67.8% or n = 21) had scores in the high category for any one of the three subscales (EE/DP/PA). Significant factors associated with burnout included poor work and non-professional life balance (p = 0.017), utilising annual leave days for work-related tasks (p < 0.001), irregular holidays (p = 0.003) and financial debt (p = 0.026). A possible protective factor was an amicable relationship with fellow psychiatric registrars.

Conclusion: There is evidence of some degree of burnout in more than two-thirds of participants. Associated factors lie largely at an organisational level, and while optimising individual resilience is important, systemic support plays a key role.

Keywords: burnout; doctors’ mental health; psychiatry; trainees; stress; South African doctors; Maslach Burnout Inventory; residents.


The mental health of doctors is increasingly topical, both internationally and locally. Of importance is the phenomenon of burnout, a far-reaching repercussion of chronic work-related stress.1 Psychiatrists are more vulnerable to stress, burnout and suicide in comparison with other medical specialities.1,2 There is a void in published research relating to South African psychiatric trainees.

American psychoanalyst Herbert Freudenberger coined the term burnout in 1974.3 The Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) does not acknowledge burnout as a diagnosis or an adequately valid clinical entity.4 However, the phenomenon is increasingly recognised in research as it is regarded as impairing and consequential. The 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD) recognises burnout (Z73.0) under problems related to life-management difficulty.5 In May 2019, the World Health Organization (WHO) revealed that burnout would be defined in the ICD-11 as follows:

[A] syndrome conceptualized as resulting from chronic workplace stress that has not been successfully managed. It is characterized by three dimensions: feelings of energy depletion or exhaustion; increased mental distance from one’s job, or feelings of negativism or cynicism related to one’s job; and reduced professional efficacy. Burn-out refers specifically to phenomena in the occupational context and should not be applied to describe experiences in other areas of life.6

Various instruments have been developed to measure burnout, including the Maslach Burnout Inventory (MBI), the Oldenburg Burnout Inventory, the Physician Work-Life Study’s single item and the Copenhagen Burnout Inventory.7 The MBI is recognised as the leading measure of burnout with the strongest set of psychometric properties. The MBI Human Services Survey for Medical Personnel [MBI-HSS (MP)] has been developed for professionals working with patients. It comprises three subscales: emotional exhaustion (EE) – the central quality of burnout, depersonalisation (DP) and professional accomplishment (PA).8

The burnout rate among doctors varies from 17.6% – 82.0%, subject to speciality, setting, methods and subscales measured.9 Among psychiatrists, Umene-Nakano et al. found that 21.0% of respondents had high levels of EE, 12.0% had high levels of DP and 72.0% had low levels of PA.10 In the largest study on burnout among psychiatric trainees, to date, Jovanović et al. obtained information from 22 countries (including South Africa), and severe burnout was found in 36.7% of the participants.11

The current literature describes internal and external contributing factors to burnout. Internal factors refer to individual and personality-related factors, while external factors include the environment and situational influences.12

Regarding individual factors, age is the demographic variable most consistently related to burnout. Maslach et al. found that younger employees (< 40 years) and single individuals are more prone.13 Race and the burden of black tax may play a role. It has been shown that even when minorities achieve faculty rank, they report lower career satisfaction and higher social isolation.14 The concept of black tax is recognised in African ethnic populations and refers to the financial obligation experienced by black professionals to support their extended families.15 Furthermore, Semmer described the inherent personality profile of a stress-prone individual: poor levels of resilience, low self-esteem, an external locus of control and an avoidant coping style.16

External contributing factors were identified by Fothergill et al. in a systematic review: patient and family negative characteristics, administrative and organisational inadequacies, lack of resources, staff conflicts, lack of encouraging feedback, disproportionate supervisory duties, long working hours, excessive workload, violence and suicide perpetrated by patients, low pay and role conflict (between work and personal life).17 Gouveia et al. identified that fear of making mistakes, duality of roles, competitiveness and lack of autonomy play a role.18

In low- and middle-income countries, psychiatrists are scarce and disproportionately distributed.19 In South Africa, poor working conditions in the state sector predispose doctors to burnout, as doctors work strenuous overtime hours and frequently face crisis situations and large patient volumes.20,21 Policymakers are often at a provincial or national level, leaving doctors alienated from decisions having a major impact on themselves.22

Moderators of burnout, described by Fothergill et al., include supportive personal relationships (community support, relationships with family and friends and private therapy), attention to non-professional life, regular holidays and designated time for medical training.17 Furthermore, Fischer et al. noted factors protective against burnout: supportive professional relationships, variety in the workplace, time at work allocated for non-clinical duties and a positive attitude with high job satisfaction.23

The consequences of burnout extend from personal to healthcare system outcomes. Personal outcomes of burnout include depression, adverse effects on relationships, substance abuse, physical illness and increased suicide risk.17 One in 10 doctors in Cape Town reportedly prescribe antidepressants for their personal use.24 Among physicians, 8.0% – 12.0% are predicted to develop a substance use disorder at some point in their career.25 Physician suicide rates are approximately six times higher than in the general population, and the greatest suicidal tendencies among male physicians occur among psychiatrists.17,25 The WHO highlighted that work stress contributes to cardiovascular, gastrointestinal and musculoskeletal disorders.26 Burnout alters neural circuits, specifically the amygdala, and has been shown to result in cortical thinning, decreased fine motor function and the inability to shift attention. Doctors develop maladaptive coping mechanisms in response to burnout, such as emotional detachment, which may be especially detrimental in psychiatry.27

The outcomes of burnout in healthcare systems are recruitment and retention issues, lowered productivity and efficiency (including absenteeism), suboptimum patient care, medical errors, higher medical aid expenditure and decreased patient satisfaction.25,26 Burnout has been identified as a cause of medical migration in South Africa, and failure to address it may result in the loss of skills to the global labour market.21 The Gauteng Department of Health and Social Development faced malpractice claims worth R573 million in 2009–2010.28 The Health Professions Council of South Africa (HPCSA) found 90 doctors guilty of unprofessional conduct in one year.28 While many factors play a role in malpractice and unprofessional conduct, staff well-being may contribute.25

The former president of the South African Society of Psychiatrists, Professor Janse van Rensburg, highlighted the responsibility, at an organisational level, to recognise burnout as a problem.29

Aim and objectives

This research study aimed to investigate burnout among psychiatric registrars (trainees) at the University of the Witwatersrand.

The study objectives were as follows:

  • to determine the scores of the three subscales of burnout, EE, DP and PA, using the MBI-HSS (MP)
  • to ascertain the demographic and work-related profiles of participants and their associations with MBI-HSS (MP) scores
  • to ascertain potential contributing and protective factors, as well as potential consequences of burnout.

Research methods and design

Study setting

The study participants were registrars in the Department of Psychiatry at the University of the Witwatersrand (WITS), South Africa.

Study design

This study was a cross-sectional investigation of burnout and its associated factors.

Study population and sampling strategy

There were 55 registrars in the WITS Department of Psychiatry at the time of the study.30 All registrars who provided informed consent to participate in the study were included. In order to ensure anonymity, unidentifiable questionnaires were distributed and returned, via the WITS Department of Psychiatry’s internal mail, to the department secretary in October 2018.

Data collection and instrument

The questionnaires (based on a literature review) were self-administered by the participants and comprised of three sections:

  • demographics and work-related variables
  • the MBI-HSS (MP)
  • contributing factors, protective factors and possible consequences of burnout.

Permission to use the MBI instrument was obtained, and copies thereof purchased from www.mindgarden.com. Human services are divided into social service, medical, mental health and other.8 This tool has been administered over a variety of countries, languages and cultural backgrounds.8 The reliability of the MBI-HSS (MP) has been estimated using Cronbach’s coefficient alpha to be 0.90 for EE, 0.79 for DP and 0.71 for PA. Validity for the MBI-HSS has been confirmed by various studies and meta-analyses.8

Data analysis

Data were analysed using MicrosoftTM Excel and STATISTICA 7.1 statistical software (www.statsoft.com). The dataset did not meet the assumptions of normality; therefore, non-parametric analyses were used. All statistical tests were two-tailed, and alpha was set at 0.05.

Objective 1: Descriptive statistics for EE, DP and PA were generated. Scores were categorised as high based on a threshold as per the cut-off score published in the third edition of the MBI manual8 (Table 1). These cut-off scores correlate with the scores predominantly used in burnout research.31 The higher the EE and DP score and the lower the PA score, the more likely the individual is to experience burnout.8

TABLE 1: Classification of burnout.

Objective 2: Demographics and work-related profiles of participants were tabulated. The Mann-Whitney U and Kruskal–Wallis tests were used to analyse significant associations between participants’ demographic and work-related profiles and their MBI results.

Objective 3: Contributing, protective factors and possible consequences of burnout were analysed using the Mann–Whitney U and Kruskal–Wallis tests.

Ethical considerations

Permission to conduct the study was obtained from the Deputy Registrar of WITS, WITS Head of Department of Psychiatry and the WITS Human Research Ethics Committee (Medical) – clearance number M180556. A distress protocol was included in the questionnaire.


Out of 55 psychiatric registrars, 33 completed and returned the questionnaire (a 60.0% response rate). Data from 31 registrars were used in the analyses, as two registrars did not provide informed consent.

Objective 1

Among the participants, EE was the most commonly affected, followed by DP and PA (Table 2). The majority (67.7% or n = 21) had scores in the high category for any one of the three subscales (EE/DP/PA).

TABLE 2: Descriptive statistics and scores of the Maslach Burnout Inventory subscales among psychiatric registrars at University of the Witwatersrand.
Objective 2

None of the demographic factors (Table 3) or work-related profiles (Table 4) were significant predictors for the EE, DP and PA subscales.

TABLE 3: Demographics and Maslach Burnout Inventory subscale scores.
TABLE 4: Work-related profiles and Maslach Burnout Inventory subscale scores.
Objective 3

Factors associated with higher EE scores were as follows (Table 5):

  • poor work and non-professional life balance
  • utilising leave days for work-related tasks
  • not taking regular holidays
  • debt
  • attending therapy.
TABLE 5: The relationship between contributing and protective factors and Maslach Burnout Inventory subscale scores.
TABLE 5 (Continues...): The relationship between contributing and protective factors and Maslach Burnout Inventory subscale scores.
TABLE 5 (Continues...): The relationship between contributing and protective factors and Maslach Burnout Inventory subscale scores.

Utilising leave days for work-related tasks was the only factor associated with higher DP scores, while a good relationship with fellow psychiatric registrars was associated with higher PA scores (Table 5).


Key findings

A 60.0% response rate is in keeping with average response rates of 52.7% in surveys collected from individuals and used for organisational research.32 The possible reasons behind this response rate include registrars being too burnt out to participate in another activity or suspicious regarding confidentiality. The lowest response rate was obtained from registrars > 36 months into registrarship, perhaps indicating that this group did not resonate with the topic or were too overwhelmed with demands to participate.

Objective 1

Participants scored highest in the EE category, followed by DP and lastly PA. Higher EE and DP scores, and lower PA scores, correlate to greater experienced burnout.8 A third of participants had PA scores in the high burnout category. Symptoms of burnout in the EE and DP categories have been hypothesised to serve a purpose, namely, to shield the human psyche against further damage when confronted with having no way out.1 Emotional exhaustion was the subscale most affected. Maslach et al. linked the EE subscale to competition, a time-pressured way of life, hostility, a disproportionate need for control and a lack of work–life balance.8 Regarding the DP category, Shanafelt et al. showed that DP reflects detachment and an impersonal response to patients;33 this may be particularly detrimental in psychiatry where emotional connection and rapport are imperative.

Jovanović et al. found a 60.0% prevalence rate of high burnout among South African psychiatric registrars in 2010 using the DP and EE subscales (second highest in the world after Hong Kong), and this study found a rate of 67.7% using all the three subscales. South Africa was also the country with the second longest working hours after Hong Kong.11 In a more recent study among registrars at the WITS School of Clinical Medicine, Zeijlemaker et al. found a prevalence rate of high burnout of 84.0% using the DP and EE subscales, much higher than the rate in the sample.34 This may indicate that other specialities have higher rates of burnout than psychiatric registrars. However, the study did not provide specific rates for specialities, and hence, it is a difficult comparison to make.

Objective 2

None of the demographic or work-related factors were significant predictors of burnout, and this may have been because of the small study sample. Another explanation is that burnout is an organisational complication rather than an individual circumstance.

Objective 3

Significant factors associated with burnout included poor work and non-professional life balance, using leave days for work-related tasks, not taking regular holidays and financial debt, and are similar to those identified by Fothergill et al.17 A significant association was found between participants who experienced EE and who attended psychotherapy. This may speak to the help-seeking behaviour and emotional insight among registrars suffering from EE. In keeping with findings by Fischer et al., a protective factor against burnout was an amicable relationship with fellow registrars in psychiatry.23 This emphasises the importance of support rather than competition within the workplace.

Strengths and limitations

Burnout among doctors is increasingly topical, and studies of this nature form the foundation for planned interventions and, hence, are imperative. However, these results should be interpreted critically, especially with regards to generalisability as the sample size was small. It was a cross-sectional study, which infers that causation cannot be established. The ethics of dual agency should be considered as one of the researchers was a psychiatric registrar at the time of the study;35 however, professional integrity and confidentiality were maintained.

Implications and recommendations

The results of this study may create a platform for further research studies. It is also recommended that this study’s findings influence the university’s policy in terms of sufficient protected academic time (recommended 8h/week according to the HPCSA guidelines) and support.36 Future HPCSA guidelines should take into account the phenomenon of burnout and possible interventions, such as counselling. Interventions for burnout should take place at both an individual and institutional level, as a combination of these strategies has been found to be most effective.37 Further studies using qualitative methods may provide insights into the unique lived experiences of psychiatrists.


Evidence of burnout was found in more than two-thirds of WITS psychiatric trainees. Associated factors were found at an organisational level. While optimising individual resilience is important, systemic support plays a key role.


The following contributions are gratefully acknowledged: the participants, those involved in ethics and other research clearance processes, the University of the Witwatersrand, Mind Garden for permission to use the Maslach Burnout Inventory, Professor Smith for her involvement in the distress protocol, Mrs Lambert for distribution of the questionnaires, Dr Stancheva for assistance in the development of the protocol and Professor Pillay for his contributions to statistics and data analysis.

Competing interests

The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.

Authors’ contributions

All authors contributed to the research design. T.M. and B.M. conceptualised and developed the initial draft, collected and analysed the data, and interpreted the results. All authors critically reviewed, revised and approved the final draft.

Funding information

The research work was funded by the research investigator. This work received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Data availability

The data that support the findings of this study are available from the corresponding author, T.M., upon reasonable request.


The views expressed in the article are those of the authors and not an official position of the University of the Witwatersrand.


  1. Kumar S. Burnout in psychiatrists. World Psychiatry. 2007;6(3):186–189.
  2. Thomsen S, Soares J, Nolan P, Dallender J, Arnetz B. Feelings of professional fulfilment and exhaustion in mental health personnel: The importance of organisational and individual factors. Psychother Psychosom. 1999;68(3):157–164. https://doi.org/10.1159/000012325
  3. American Psychiatric Association. Freudenberger HJ. Staff burn-out. J Soc Issues. 1974;30(1):159–165. https://doi.org/10.1111/j.1540-4560.1974.tb00706.x
  4. Diagnostic and statistical manual of mental disorders (DSM-5), 5th ed. Arlington, VA: American Psychiatric Association; 2013.
  5. World Health Organization. The ICD-10 classification of mental and behavioural disorders. Geneva: World Health Organization; 1992.
  6. World Health Organization. Burnout an “occupational phenomenon”: International Classification of Diseases [homepage on the Internet]. c2019 [updated 2019 May 28; cited 2020 Mar 01]. Available from: https://www.who.int/mental_health/evidence/burn-out/en/
  7. National Academy of Medicine. Valid and reliable survey instruments to measure burnout, well-being, and other work-related dimensions [homepage on the Internet]. n.d. [cited 2019 Dec 30]. Available from: https://nam.edu/valid-reliable-survey-instruments-measure-burnout-well-workrelated-dimensions/
  8. Maslach C, Jackson SE, Leiter MP. Maslach burnout inventory manual. 4th ed. Menlo Park, CA: Mind Garden, Inc; 2016.
  9. Prins JT, Gazendam-Donofrio SM, Tubben BJ, Van Der Heijden FMMA, Van De Wiel HBM, Hoekstra-Weebers JEHM. Burnout in medical residents: A review. Med Educ. 2007;41(8):788–800. https://doi.org/10.1111/j.1365-2923.2007.02797.x
  10. Umene-Nakano W, Kato TA, Kikuchi S, et al. Nationwide survey of work environment, work-life balance and burnout among psychiatrists in Japan. PLoS One. 2013;8(2):e55189. https://doi.org/10.1371/journal.pone.0055189
  11. Jovanović N, Podlesek A, Volpe U, et al. Burnout syndrome among psychiatric trainees in 22 countries: Risk increased by long working hours, lack of supervision, and psychiatry not being first career choice. Eur Psychiatry. 2016;32(2016):34–41. https://doi.org/10.1016/j.eurpsy.2015.10.007
  12. Kaschka WP, Korczak D, Broich K. Burnout: A fashionable diagnosis. Dtsch Arztebl Int. 2011;108(46):781–787. https://doi.org/10.3238/arztebl.2011.0781
  13. Maslach C, Schaufeli WB, Leiter MP. Job burnout. Annu Rev Psychol. 2001;52:397–422. https://doi.org/10.1146/annurev.psych.52.1.397
  14. Cyrus KD. Medical education and the minority tax. JAMA. 2017;317(18):1833–1834. https://doi.org/10.1001/jama.2017.0196
  15. Magubane NN. Black tax: The emerging middle class reality [dissertation]. Gordon Institute of Business Science: University of Pretoria; 2017.
  16. Semmer NK. Individual differences, work stress and health. In: Schabracq MJ, Winnubst JAM, Cooper CL, editors. The handbook of work and health psychology. West Sussex: John Wiley & Sons Ltd.; 1996, p. 83–120.
  17. Fothergill A, Edwards D, Burnard P. Stress, burnout, coping and stress management in psychiatrists: Findings from a systematic review. Int J Soc Psychiatry. 2004;50(1):54–65. https://doi.org/10.1177/0020764004040953
  18. Gouveia PAC, Neta MHCR, Aschoff CAM, Gomes DP, Da Silva NAF, Cavalcanti HAF. Factors associated with burnout syndrome in medical residents of a university hospital. Rev Assoc Med Bras. 2017;63(6):504–511. https://doi.org/10.1590/1806-9282.63.06.504
  19. Parker JS, Allen RR, Lund C. Are we training our psychiatrists adequately as public mental health practitioners? S Afr J Psychiatr. 2013;19(1):2–3. https://doi.org/10.4102/sajpsychiatry.v19i1.431
  20. Manyisa ZM, Van Aswegen EJ. Factors affecting working conditions in public hospitals: A literature review. Int J Afr Nurs Sci. 2017;6:28–38. https://doi.org/10.1016/j.ijans.2017.02.002
  21. Stodel JM, Stewart-Smith A. The influence of burnout on skills retention of junior doctors at Red Cross War Memorial Children’s Hospital: A case study. S Afr Med J. 2011;101(2):115–118. https://doi.org/10.7196/SAMJ.4431
  22. Thomas LS, Valli A. Levels of occupational stress in doctors working in a South African public-sector hospital. S Afr Med J. 2006;96(11):1162–1168.
  23. Fischer J, Kumar S, Hatcher S. What makes psychiatry such a stressful profession? A qualitative study. Australas Psychiatry. 2007;15(5):417–421. https://doi.org/10.1080/10398560701439699
  24. Van der Bijl H, Oosthuizen P. Anxiety, depression, health attitudes and coping strategies in doctors and teachers in a Cape Town setting. S Afr J Psychiatr. 2007;13(2):46–51. https://doi.org/10.4102/sajpsychiatry.v13i2.27
  25. Wallace JE, Lemaire JB, Ghali WA. Physician wellness: A missing quality indicator. Lancet. 2009;374(9702):1714–1721. https://doi.org/10.1016/S0140-6736(09)61424-0
  26. De Beer L, Pienaar J, Rothmann S, Jr. Linking employee burnout to medical aid provider expenditure. S Afr Med J. 2013;103(2):89–93. https://doi.org/10.7196/SAMJ.6060
  27. Eckleberry-Hunt J, Lick D, Boura J, et al. An exploratory study of resident burnout and wellness. Acad Med. 2009;84(2):269–277. https://doi.org/10.1097/ACM.0b013e3181938a45
  28. Pepper MS, Slabbert MN. Is South Africa on the verge of a medical malpractice litigation storm? S Afr J Bioeth Law. 2011;4(1):29–35.
  29. South African Society of Psychiatrists: Overloaded medical professionals in danger of burnout [homepage on the Internet]. n.d. [cited 2020 Mar 03]. Available from: https://www.sasop.co.za/overloaded-medical-professionals
  30. University of the Witwatersrand. Department of Psychiatry. Telephone list Jul-Dec 2018. Johannesburg: Faculty of Health Sciences.
  31. Doulougeri K, Georganta K, Montgomery A. “Diagnosing” burnout among healthcare professionals: Can we find consensus? Cogent Med. 2016;3(1):Article 1. https://doi.org/10.1080/2331205X.2016.1237605
  32. Baruch Y, Holtom BC. Survey response rate levels and trends in organizational research. Hum Relat. 2008;61(8):1139–1160. https://doi.org/10.1177/0018726708094863
  33. Shanafelt TD, Bradley KA, Wipf JE, Back AL. Burnout and self-reported patient care in an internal medicine residency program. Ann Intern Med. 2002;136(5):358–367. https://doi.org/10.7326/0003-4819-136-5-200203050-00008
  34. Zeijlemaker C, Moosa S. The prevalence of burnout among registrars in the School of Clinical Medicine at the University of the Witwatersrand, Johannesburg, South Africa. S Afr Med J. 2019;109(9):668–672. https://doi.org/10.7196/SAMJ.2019.v109i9.13667
  35. Ferguson LM, Yonge O, Myrick F. Students’ involvement in faculty research: Ethical and methodological issues. Int J Qual Methods. 2004;3(4):56–68. https://doi.org/10.1177/160940690400300405
  36. Health Professions Council of South Africa: Guideline on the minimum conditions of service, education and training of registrars and subspecialist trainees in South Africa [homepage on the Internet]. c2010 [updated 2010 Jan 20; cited 2020 Mar 03]. Available from: https://isystems.hpcsa.co.za/uploads/editor/UserFiles/PETM%20-%20Guideline%20-%20Conditions%20of%20Service%20Education%20and%20Training%2020%20Jan%202010.pdf
  37. Wiederhold BK, Cipresso P, Pizzioli D, Wiederhold M, Riva G. Intervention for physician burnout: A systematic review. Open Med. 2018;13(1):253–263. https://doi.org/10.1515/med-2018-0039


Crossref Citations

1. Prevalence and determinants of burnout among South African doctors during the COVID-19 pandemic
Saajida Khan, Itumeleng Ntatamala, Roslynn Baatjies, Shahieda Adams
South African Journal of Psychiatry  vol: 30  year: 2024  
doi: 10.4102/sajpsychiatry.v30i0.2225