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Emotional exhaustion and burnout among medical professors; a nationwide survey
© Tijdink et al.; licensee BioMed Central Ltd. 2014
Received: 29 October 2013
Accepted: 29 August 2014
Published: 4 September 2014
Although job-related burnout and its core feature emotional exhaustion are common among medical professionals and compromise job satisfaction and professional performance, they have never been systematically studied in medical professors, who have central positions in academic medicine.
We performed an online nationwide survey inviting all 1206 medical professors in The Netherlands to participate. They were asked to fill out the Maslach Burnout Inventory, a ‘professional engagement’ inventory, and to provide demographic and job-specific data.
A total of 437 Professors completed the questionnaire. Nearly one quarter (23.8%) scored above the cut-off used for the definition of emotional exhaustion. Factors related to being in an early career stage (i.e. lower age, fewer years since appointment, having homeliving children, having a relatively low Hirsch index) were significantly associated with higher emotional exhaustion scores. There was a significant inverse correlation between emotional exhaustion and the level of professional engagement.
Early career medical professors have higher scores on emotional exhaustion and may be prone for developing burnout. Based upon this finding, preventive strategies to prevent burnout could be targeted to young professors.
Burnout is described as ‘a prolonged response to chronic emotional and interpersonal stressors at work’, and is three dimensionally defined by ‘emotional exhaustion’, ‘depersonalisation’, and ‘reduced personal accomplishment . Previous studies suggest that burnout, particularly emotional exhaustion, is common among physicians [2–7], affects morale and productivity, but also reduces quality of care and predisposes to medical errors [8–11].
Reported risk factors for burnout in the general population include being young, single, and childless. As for job-related factors, home-work interface stress and being at the early stage of a professional career appear to increase risk for burnout. In physicians, risk may be aggravated by job-specific circumstances such as demanding patients, reduced resources, and the threat of liability [12–16].
Opposite of burnout stands engagement, defined as ‘a positive, fulfilling, work-related state of mind, characterised by vigour, dedication and absorption’ , and it has been suggested that strong professional engagement may protect against burnout .
Medical professors are in many ways at the heart of the medical community as they act as, educators, managers and, - perhaps most importantly - role models for students, residents and colleagues. However, these same activities and responsibilities may render them vulnerable to job-related stress and burnout.
To our knowledge, there are some studies evaluating burnout symptoms by academic rank [19, 20] although these symptoms have never been systematically studied in the unique subgroup of medical professors. This study addresses the prevalence, severity and potential determinants of burnout symptoms among medical professors in The Netherlands. Since emotional exhaustion is the core feature of burnout [1, 21–24], the association of emotional exhaustion with personal and job characteristics, with the Hirsch index as a measure of scientific success, and with the level of professional engagement was examined in detail.
Procedure and participants
Professors working at one of the 8 academic medical centres in The Netherlands were sent an invitational e-mail in September 2011 to participate in a survey addressing burnout symptoms, but also aspects of publication culture. We included professors working in either clinical or preclinical disciplines, all being employed by one of the 8 University Medical Centres in The Netherlands.
The e-mail explained the objectives of the study, using neutral terms as ‘work experiences and engagement’, and provided them with a link to an anonymous online questionnaire on a protected website. Those who did not respond were sent a reminder after 3 weeks, and responses were registered until 6 weeks after the first invitation.
The questionnaire contained, apart from demographic questions, validated burnout and engagement questionnaires. Burnout was measured using the Dutch version  of the Maslach Burnout Inventory (MBI) Human Services Survey , which is designed specifically for use in people working in human services and health care. The Dutch version (the Utrechtse Burn Out Schaal (UBOS), see online appendix for English translation) consists of 20 items covering the three domains of burnout: 1] the depletion of emotional reserves (emotional exhaustion, 8 items), 2] an increasingly cynical and negative approach towards others (depersonalization, 5 items), and 3] a growing feeling of work-related dissatisfaction (personal accomplishment, 7 items).
As examples, emotional exhaustion is assessed through questions such as ‘I feel like I am at the end of my rope’ and ‘I feel burned out by my work’, and depersonalization with questions such as ‘I feel I treat some of my faculty and residents as if they were impersonal objects’. Personal accomplishment is assessed with questions such as ‘I have accomplished many worthwhile things in this job’. Items were rated on a 7-point frequency scale (0-6), such that more points on the emotional exhaustion and depersonalisation domain indicated a higher propensity for having burnout). Personal accomplishment is inversely related to burnout: lower scores indicate a higher propensity for having burnout.
The nominal cut-off scores for burnout were used. These cut-off levels are sometimes based on the Emotional Exhaustion domain scores only. The Dutch Central Bureau of Statistics , for example, has set the cut-off level for the nominal definition of having burnout on an Emotional Exhaustion subscore threshold of >17.68 points (http://www.cbs.nl, http://www.tno.nl/downloads/Rapport NEA 2010.pdf).
Engagement was measured using the 17-item Utrecht Work Engagement Scale (UWES) . This questionnaire has good psychometric properties , and consists of three engagement subscales: vigour (6 items), dedication (5 items) and absorption (6 items). High levels of mental energy and willingness to invest in work define vigour, whereas dedication is defined as ‘feelings of enthusiasm, pride and inspiration’, and absorption implies ‘a sense of time passing quickly and low distraction’. Items were rated on a 7-point Likert scale (0-6). The sum of all items is used as a total engagement score.
The demographic and general background information included gender, age (divided into 5 categories), marital status, having homeliving children, type of specialty; years since appointment (per 5 years), main professional activity (research, education, patient care, or management) and self-reported Hirsch Index, a citation-based individual indicator of scientific impact .
In this research no patients were involved; therefore no ethics approval was necessary as the research complies with national regulations (https://www.vcmo.nl/wmo/niet-wmo-plichtig-onderzoek/).
Analysis of Variance was used to compare groups. Pearson’s correlation coefficients were calculated to examine relationships between continuous variables. Multiple linear regression analysis was used to identify independent determinants of burnout scores on a continuous scale. We were cautious to avoid statistical overadjustment with multiple age-related variables. Therefore, we introduced in the first multivariate analysis only demographic and job-specific variables. Variables that conceivably were mediators of effects of demographic and job-specific items were subsequently introduced in a second multiple regression model. In a secondary analysis, logistic regression was performed to analyse the dichotomized burnout scores using cut-off scores. The Statistical Package for the Social Sciences (SPSS) statistics (Chicago USA 2011, version 20) was used for the statistical analyses.
Demographic and job-specific characteristics of 437 respondents
N = 437
65 and older
Married or cohabiting
Home living children
3 or more
Years since appointment
16 or more
Nr. 1 Work priority
Raw scores of burn out dimensions
11,9 (SD 8,9)
Total Score (0-48)
4,4 (SD 4.4)
Total score (0-30)
30,9 (SD 5,9)
Total score (0-42)
Raw scores of engagement dimensions
Vitality Total Score (0-36)
28.1 (SD 5.0)
Dedication Total Score (0-36)
24.9 (SD 4.2)
Absorption Total Score (0-36)
26.4 (SD 5,4)
Early-career professors show higher emotional exhaustion scores
Univariate regression analysis comparing independent variables with burnout and engagement component scores (Vigour, Dedication and Absorption)
Burnout domain scores
Engagement domain scores
Age (per 10 years
Marital status (single)
Homeliving children (yes)
Fixed position (yes)
Years since appointment (per 5 years)
Multivariate regression analysis comparing independent variables with emotional exhaustion
Beta (95% CI)
Emotional Exhaustion (0-45)
Age (per 10 years)
-0.3 (-1.9 to 1.3)
Homeliving children (yes)
1,6 (-0.4 to 3.5)
Years since appointment (per 5 years)
-1.0 (-1.9 to -0.1)
According to the aforementioned cut-off level on the Emotional Exhaustion scale, 23.8% of medical professors (n = 104) suffered from burnout.
Logistic regression analysis with the nominal burnout outcome variable identified the same determinants as did linear regression analysis for the continuous subscores, albeit with lower levels of statistical significance (data not shown).
The role of the Hirsch index
Crude and multivariate analysis of emotional exhaustion including the Hirsh-index as additional independent variable
Beta (CI 95%)
Emotional Exhaustion (0-45)
Years since appointment (per 5 years)
-1.3 (-2.1 to -0.6)
Hirsch index (upper vs lower 2 tertiles)
-2.3 (-4.4 to -0.3)
Years since appointment (per 5 years)
-1.5 (-2.5 to -0.6)
Hirsch index (upper vs lower 2 tertiles)
-1.2 (-3.3 to 1.0)
Burn out and engagement
Vigour and dedication were negatively associated with emotional exhaustion (correlation coefficient -0,36 and -0,38, respectively, both p < 0,001), and to depersonalisation (-0,27 and -0,35, respectively, both p < 0,001). All three subscales of engagement (vigour, dedication and absorption) were positively and strongly related to personal accomplishment (0,61, 0,56 and 0,45, respectively, all p < 0,001).
Furthermore, all three engagement subscales showed significant relations with the Hirsch-index (in tertiles, beta’s (CI) 1.1 (0.5 to 1.7), 0.8 ( 0.3 to 1.2), and 0.9 (0.2 to 1.5), respectively, all p < 0.01).
This study suggests that emotional exhaustion is frequent among medical professors, and that the early career years represent a risk period for emotional exhaustion. Having reached a certain degree of scientific success, as indicated by a high Hirsch factor, may confer some degree of protection.
Interpretation of results
In comparable studies, high burnout frequencies were found in academic chairs in specific medical fields such as gynaecology and orthopaedic surgery [3, 6]. In these studies, 75% of orthopaedic surgeons had moderate to high levels of emotional exhaustion and 54% of gynaecologists reported high levels of burnout (these studies were using different cut-off values compared to this study). We found no previous study addressing an entire nationwide population of medical professors.
Higher emotional exhaustion subscores are found among younger professors, who usually are at the start of their career, and more often have children living at home (not after multivariate analysis). This is in line with previous studies, which found high emotional exhaustion in younger chairs and those with a spouse and children.
Burnout was also more common in new professors [12–15]. These three determinants have a high degree of co-linearity, and may be in each other’s causal pathway. Therefore, the multivariate analysis, which demonstrated that the number of years since appointment is the prime, independent determinant of burnout symptomatology, should be interpreted with some caution. Feeling of control over work and spouse support are two important protective factors against burnout. Effects of seniority may be explained via these effects, since professional experience may increase the (sense of) control over work and work hours . A possible survivor bias is conceivable but not very likely since professors leaving their position in their early years are very rare.
We analysed the potential correlation of the Hirsch index with burnout symptoms separate from demographic and job-specific characteristics. A higher Hirsch index was related to lower emotional exhaustion scores, but did not explain, at least not statistically, the impact of being early in a professor career on burnout. Whether a low Hirsch index causes extra stress, or a high Hirsch index is a protective factor is a semantic, or even philosophical issue. In terms of career chances in academia, the Hirsch index may be a stressor for youngsters, but could also be reassuring for seniors. Furthermore the Hirsch index is correlated to personal accomplishment and all three subscales of engagement. Apparently, medical professors with a high Hirsch index feel they are more capable, have more vigour and dedication, and are more absorbed in their work.
Finally, engagement correlates moderately with burnout subscale scores. The interpretation of these correlations is hampered by the likelihood that the causality is bidirectional: engagement may protect against burnout, and burnout can severely compromise engagement. There may exist independent effects, but only longitudinal research can address this.
Strengths and limitations
The strength of this study is that the survey was nationwide, addressing all medical professors in the country. Furthermore, burnout domain subscores were analysed on their natural, continuous scale, avoiding the loss of power associated with (arbitrary) dichotomisation of burnout symptomatology. In this respect, the topic of our study is more the propensity for developing burnout, rather than qualifying for any formal definition of the disorder.
A number of limitations also need to be addressed. First, we cannot rule out response bias. The survey completion rate was 36%, which is comparable to similar types of online questionnaires . Although response bias is difficult to investigate, it is interesting to speculate in which direction it would occur. We think that response bias in our study may in fact have been bidirectional. Those experiencing more burnout symptoms could either preferentially participate (identification with the topic) or be reluctant to do so, caused by a sense of lack of time and task overload. To assure the representativeness of the sample we investigated the distribution of age and gender among all professors in the Netherlands. This population was representative as +/- 17% of the medical professors in the Netherlands is female (our sample 21%, http://www.stichtingdebeauvoir.nl/wp-content/uploads/Monitor_Vrouwelijke_Hoogleraren_2012.pdf) and the average age of professors in the Netherlands in another study including 1256 professors, was comparable with our mean ages . This supports representativeness of our study population.
Since all medical professors in the Netherlands were invited for participation, the responders are not a sample from a sample but a sample of total study population. This further supports the representativeness of the study population. The population of medical professors is, obviously, heterogeneous. In the Netherlands, most have, at least formally, a part-time appointment as professor. All are more intensively involved in management, research and educational activities than regular physicians, but the degree to which this is the case may vary. Importantly, all professors in the Netherlands spend at least 1 to 2 days on patient care in view of registration legislation.
There may also be a taboo on burnout, causing respondents to downplay the severity and personal impact of burnout, despite the fact that anonymity was guaranteed. Another potential limitation could be the use of an online questionnaire for such a sensitive issue. However, the validity of online questionnaires is probably similar to ‘live’ questionnaires.  The timing of the study (September-October) could also have influenced the results and possibly attenuate burnout symptom scores, since national holidays are held in July and August, and academic work normally starts in the beginning of September.
A final important issue is the risk of framing: creating an atmosphere which stimulates ’positive answers’ depending on how the topic is introduced, how the questions are phrased, etc. To limit this risk, the invitation e-mail did not contain words such as ‘burnout’, but was phrased using more neutral words as ‘work engagement’ and ‘job satisfaction’ The Maslach Burnout Inventory is also constructed to reduce this risk of framing by including positive questions in the domain of personal accomplishment, which improves psychometric properties .
Maslach’s definition of burnout was originally a division of a sample into equal thirds and cut-off values were not mentioned. Burnout as a domain is most often defined as being above cut off on at least two dimensions (high emotional exhaustion and depersonalisation or high emotional exhaustion and low personal accomplishment). Since the Dutch bureau of statistics provides cutoff values for emotional exhaustion only, emotional exhaustion was, with possible limitation, chosen as a core feature of burnout. Furthermore since our study population consisted solely of ambitious and highly skilled medical professors the degree of burnout on the personal accomplishment domain was extremely low and was therefore considered not to be an appropriate feature of measuring burnout in this population.
We also used cutoff values of the Dutch national Central Bureau of Statistics to allow a comparison with other Dutch professionals. In national samples of the total working force in the Netherlands, 11-14% meet the criteria for burnout. In another sample among Dutch doctors in residency training programs, the percentage was 41%, using the same definition as we did. However, the CBS assesses burnout using 5 statements from the emotional exhaustion scale to define moderate or severe burnout. Hence, these comparisons suggests that being a resident is be more stressful than being a professor, and that both are more prone to burn-out than the general Dutch working population.
Finally, the fact that we did not include other potential burnout determinants such as weekly work hours or work-home conflicts precludes more detailed analyses of the wider spectrum of determinants of burnout among this group.
We conclude that emotional exhaustion is common among Dutch medical professors, and are determined by several factors, all related to being in an early stage of their professional career. Further research should focus on the impact of burnout on both the personal level, as well as on the level of professional performance in the clinical, educational and scientific domains. In future studies, potential preventive strategies should be addressed.
- Maslach C, Jackson SE, Leiter MP: Maslach Burnout Inventory Manual. 1996, Palo Alto, CA: Consulting Psychologists Press, 3Google Scholar
- Cruz OA, Pole CJ, Thomas SM: Burnout in chairs of academic departments of ophthalmology. Ophthalmology. 2007, 114 (12): 2350-2355.View ArticleGoogle Scholar
- Gabbe SG, Melville J, Mandel L, Walker E: Burnout in chairs of obstetrics and gynecology: diagnosis, treatment, and prevention. Am J Obstet Gynecol. 2002, 186 (4): 601-612.View ArticleGoogle Scholar
- Johns MM, Ossoff RH: Burnout in academic chairs of otolaryngology: head and neck surgery. Laryngoscope. 2005, 115 (11): 2056-2061.View ArticleGoogle Scholar
- Prins JT, Hoekstra-Weebers JE, Gazendam-Donofrio SM, Dillingh GS, Bakker AB, Huisman M, Jacobs B, van der Heijden FM: Burnout and engagement among resident doctors in the Netherlands: a national study. Med Educ. 2010, 44 (3): 236-247.View ArticleGoogle Scholar
- Saleh KJ, Quick JC, Conaway M, Sime WE, Martin W, Hurwitz S, Einhorn TA: The prevalence and severity of burnout among academic orthopaedic departmental leaders. J Bone Joint Surg Am. 2007, 89 (4): 896-903.View ArticleGoogle Scholar
- Shanafelt TD, Boone S, Tan L, Dyrbye LN, Sotile W, Satele D, West CP, Sloan J, Oreskovich MR: Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch Intern Med. 2012, 20: 1-9.Google Scholar
- Prins JT, van der Heijden FM, Hoekstra-Weebers JE, Bakker AB, van de Wiel HB, Jacobs B, Gazendam-Donofrio SM: Burnout, engagement and resident physicians’ self-reported errors. Psychol Health Med. 2009, 14 (6): 654-666.View ArticleGoogle Scholar
- Spickard A, Gabbe SG, Christensen JF: Mid-career burnout in generalist and specialist physicians. JAMA. 2002, 288 (12): 1447-1450.View ArticleGoogle Scholar
- West CP, Huschka MM, Novotny PJ, Sloan JA, Kolars JC, Habermann TM, Shanafelt TD: Association of perceived medical errors with resident distress and empathy: a prospective longitudinal study. JAMA. 2006, 296 (9): 1071-1078.View ArticleGoogle Scholar
- West CP, Tan AD, Habermann TM, Sloan JA, Shanafelt TD: Association of resident fatigue and distress with perceived medical errors. JAMA. 2009, 302 (12): 1294-1300.View ArticleGoogle Scholar
- Demerouti E, Bakker AB, de JJ, Janssen PP, Schaufeli WB: Burnout and engagement at work as a function of demands and control. Scand J Work Environ Health. 2001, 27 (4): 279-286.View ArticleGoogle Scholar
- Martini S, Arfken CL, Churchill A, Balon R: Burnout comparison among residents in different medical specialties. Acad Psychiatry. 2004, 28 (3): 240-242.View ArticleGoogle Scholar
- Maslach C, Jackson SE: The role of sex and family variables in burnout. Sex Roles. 1985, 12: 837-851.View ArticleGoogle Scholar
- Maslach C, Schaufeli WB, Leiter MP: Job burnout. Annu Rev Psychol. 2001, 52: 397-422.View ArticleGoogle Scholar
- Rovik JO, Tyssen R, Hem E, Gude T, Ekeberg O, Moum T, Vaglum P: Job stress in young physicians with an emphasis on the work-home interface: a nine-year, nationwide and longitudinal study of its course and predictors. Ind Health. 2007, 45 (5): 662-671.View ArticleGoogle Scholar
- Schaufeli WB, Bakker AB: UBES: Utrechtse Bevlogenheidschaal [UBES: Utrecht Work Engagement Scale]. 2003, Utrecht: University of UtrechtGoogle Scholar
- Schaufeli , Salanova M, Gonzalez-Roma V, Bakker AB: The measurement of engagement and burnout: a two-sample confirmatory factor analytic approach. J Happiness Stud. 2002, 3: 71-92. Ref Type: GenericView ArticleGoogle Scholar
- Dyrbye LN, Shanafelt TD, Balch CM, Satele D, Sloan J, Freischlag J: Relationship between work-home conflicts and burnout among American surgeons: a comparison by sex. Arch Surg. 2011, 146 (2): 211-217.View ArticleGoogle Scholar
- Shanafelt TD, Balch CM, Bechamps GJ, Russell T, Dyrbye L, Satele D, Collicott P, Novotny PJ, Sloan J, Freischlag JA: Burnout and career satisfaction among American surgeons. Ann Surg. 2009, 250 (3): 463-471.Google Scholar
- Bekker MMJ, Croon MA, Bressers B: Childcare involvement, job characteristics, gender and work attitudes as predictors of emotional exhaustion and sickness absence. Work & Stress. 2005, 19 (3): 221-237.View ArticleGoogle Scholar
- Brenninkmeijer V, VanYperen N: How to conduct research on burnout: advantages and disadvantages of a unidimensional approach in burnout research. Occup Environ Med. 2003, 60 (Suppl 1): i16-i20.View ArticleGoogle Scholar
- Schaufeli WB, Taris TW: The conceptualization and measurement of burnout: Common ground and worlds apart. Work Stress. 2005, 19 (3): 256-262.View ArticleGoogle Scholar
- Shirom A: Job related burnout. Handbook of Occupation Health Psychology. Edited by: J.C.Quick &LET. 2003, Washington DC: American Psychological Association, 245-265.View ArticleGoogle Scholar
- Schaufeli WB, van Dierendonk D: Utrechtse Burnout Schaal (UBOS), Handleiding [Utrecht Burnout Scale, Manual]. 2000, Utrecht: Swets & ZeitlingerGoogle Scholar
- Hirsch JE: An index to quantify an individual’s scientific research output. Proc Natl Acad Sci U S A. 2005, 102 (46): 16569-16572.View ArticleGoogle Scholar
- Keeton K, Fenner DE, Johnson TR, Hayward RA: Predictors of physician career satisfaction, work-life balance, and burnout. Obstet Gynecol. 2007, 109 (4): 949-955.View ArticleGoogle Scholar
- Cook C, Heath F, Thompson RL: A meta-analysis of response rates in web- or internet-based surveys. Educ Psychol Meas. 2000, 60: 821-836.View ArticleGoogle Scholar
- Gerritsen M, Sanden vJ, Verdonk T, Visser A: Monitor vrouwelijke hoogleraren. 2012, Ref Type: Motion PictureGoogle Scholar
- Joinson A: Social desirability, anonymity and Internet-based questionnaires. Behav Res Methods Instrum Comput. 1999, 31: 433-438.View ArticleGoogle Scholar
- Streiner DL, Norman GR: Health Measurement Scales : A Practical Guide to Their Development and use. 2008, Oxford: Oxford University PressView ArticleGoogle Scholar
- Orena EF, Caldiroli D, Cortellazzi P: Does the Maslach Burnout Inventory correlate with cognitive performance in anesthesia practitioners? A pilot study. Saudi J Anaesth. 2013, 7 (3): 277-282.View ArticleGoogle Scholar
- Prosser D, Johnson S, Kuipers E, Szmukler G, Bebbington P, Thornicroft G: Mental health, “burnout” and job satisfaction among hospital and community-based mental health staff. Br J Psychiatry. 1996, 169 (3): 334-337.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6920/14/183/prepub
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