- Research article
- Open Access
Assessment of burnout in veterinary medical students using the Maslach Burnout Inventory-Educational Survey: a survey during two semesters
BMC Medical Education volume 14, Article number: 255 (2014)
- The Correction to this article has been published in BMC Medical Education 2020 20:21
Burnout among veterinary students can result from known stressors in the absence of a support system. The objectives of this study were to evaluate use of the Maslach Burnout Inventory-Educator Survey (MBI-ES) to assess burnout in veterinary students and evaluate the factors that predict the MBI-ES scores.
The MBI-ES was administered to first (Class of 2016) and second year (Class of 2015) veterinary medical students during the 2012-2013 academic year in the fall and spring semesters. Factor analysis and test reliability for the survey were determined. Mean scores for the subscales determining burnout namely emotional exhaustion (EE), depersonalization (DP) and lack of personal accomplishment (PA) were calculated for both classes in the 2 semesters. Multiple regression analysis was performed to evaluate other factors that predict the MBI-ES scores.
A non-probability sampling method was implemented consisting of a voluntary sample of 170 and 123 students in the fall and spring semesters, respectively. Scores for EE, DP and PA were not different between the 2 classes within the same semester. Mean ± SD scores for EE, DP and PA for the fall semester were 22.9 ± 9.6, 5.0 ± 4.8 and 32.3 ± 6.7, respectively. Mean ± SD scores for EE, DP and PA the spring semester were 27.8 ± 10.7, 6.5 ± 6.1and 31.7 ± 6.8, respectively. The EE score was higher in spring compared to fall while DP and PA scores were not different between the 2 semesters. Living arrangements specifically as to whether or not a student lived with another veterinary medical students was the only variable significantly associated with the MBI-ES scores. Students in this study had moderate levels of burnout based on the MBI-ES scores.
The MBI-ES was an acceptable instrument for assessing burnout in veterinary medical students. The EE scores were higher in the spring semester as compared to the fall semester. Thus students in the first and second years of veterinary school under the current curriculum experience the greatest levels of emotional exhaustion during the spring semester. This has administrative implications for the school, when considering the allocation and use of resources for student support systems during each semester.
The level of stress among veterinary medical students is significant, and is related to the high intense level of training in veterinary medical schools . Reported stressors among veterinary medical students include unsatisfactory family and personal relationships, debt and financial self-insufficiency, excessive workload, lack of time for social and recreational activities , chronic sleep deprivation, time demands, experience of constant academic evaluation , homesickness, academic concerns, difficulty fitting in with peers and perceived poor physical health . In addition to the stress experienced by veterinary medical students, one study indicated that 32% of first year students experienced clinical levels of depressive symptoms and elevated anxiety levels  compared to medical students (14.3%)  and the US general population (6.7%) . In addition, preliminary studies indicated that veterinarians have higher rates of death by suicide compared to the general population in several countries including the US, the UK, Scotland, Wales and Australia .
Burnout is considered the result of being stressed and not having a sufficient support system . Burnout is also defined as a syndrome characterized by emotional exhaustion, depersonalization (negative, cynical attitudes and impersonal feelings towards others) and reduced personal accomplishment (the tendency to evaluate oneself negatively particularly with regard’s to one’s work) . The Maslach Burnout Inventory (MBI)  is considered a reference instrument for measuring burnout in professional occupations including health care -, social services ,, mental health , criminal justice  and education . Studies assessing burnout in practicing veterinarians have been reported -. The MBI has been used to assess burnout in medical students - but the instrument has not been utilized in veterinary medical students. To authors’ knowledge only a single study  reported assessment of burnout in veterinary medical students in the US using burnout scores developed by Pines and Aronson .
The University of California, Davis School of Veterinary Medicine implemented a revised curriculum in 2011 that focused on enhancing students’ ability to integrate learning material across disciplines with the intention of reducing the amount of stress, as measured by burnout, experienced by students during each semester of the new curriculum in order to determine appropriate resource allocation . The first graduating class under the revised curriculum will be the Class of 2015. Prior to the implementation of the revised curriculum, students had a perception of increased workload as a result of the curriculum design, among other factors . Due to excessive workload being identified as a risk for stress  and consequently burnout, the objectives of the current study were 2-fold:
Evaluate the use of Maslach Burnout Inventory Educator Survey (MBI-ES) for assessing burnout in veterinary medical students and evaluate the factors that best predict MBI-ES scores.
Compare the MBI-ES scores between veterinary medical students during the fall and spring semesters to evaluate the level of stress experienced by students during each semester.
Currently, evidence exists supporting that emotional stress is prevalent in veterinary medical students. Thus investigation of the optimal tool to assess the level of burnout will assist in the determination and allocation of student support resources.
MBI-ES questionnaire administration
The study research was approved by the University of California, Davis Institutional Review Board. The survey was delivered using the web-based application, SurveyMonkey. The link to the survey was placed on VIPER (Veterinary Information Portal and Educational Resources) which is a locally developed and administered authenticated collection of web applications that students at University of California, Davis, School of Veterinary Medicine access and use throughout their veterinary medical education. Students were sent an electronic invitation via email informing them of the survey, its purpose and the dates that the survey were available, should they wish to participate. While student responses to the survey were not anonymous as they were tracked through VIPER, all identifiable student information was stripped upon analysis by the researchers and kept confidential.
The MBI-ES is a 22-item instrument . The instrument consists of three subscales to evaluate each domain of burnout, namely emotional exhaustion (EE), depersonalization (DP) and low personal accomplishment (PA). In this study, emotional exhaustion assessed feelings of being emotionally overextended and exhausted by schoolwork. The depersonalization subscale measured an impersonal response towards other students. The personal accomplishment subscale assessed feelings of competence and successful achievement in a student’s schoolwork. Sampling consisted of a non-probability sampling method via the use of a voluntary sample, which was administered to 2 classes (Classes of 2015 and 2016) during 2 consecutive semesters. To account for potential differences in experience of feelings of burnout due to different workloads during different semesters, the survey was administered to both classes during their first semester (fall of 2011 for Class of 2015 and fall of 2012 for Class of 2016). The survey was re-administered to the Class of 2015 during their 4th semester (spring 2013) and to the Class of 2016 during their 2nd semester (spring 2013). The survey was open for a period of 2 weeks during each administration. This survey administration schedule allowed for the veterinary school to assess the level of burnout for 1st, 2nd and 4th semesters of the new curriculum. The survey was not administered to the Class of 2015 during their 3rd semester (fall 2012) as the students were invited to complete other surveys requirements in the revised curriculum and it was likely that the additional survey would not have a high response rate to the voluntary sample of the methodology.
All analyses were performed using commercial statistical software, SAS Version 9.3. Descriptive summary statistics were determined, including the number of students who completed the survey.
MBI-ES score calculation
Initially, the MBI-ES mean scores for EE, DP and PA were compared between the 2 classes for each semester to check if they differed using a t-test for independent groups following confirmation that the scores were normally distributed using the Shapiro-Wilk test. There were no differences in the scores (P >0.05) between the 2 classes hence data results from both classes were combined for each semester for subsequent analysis. The MBI-ES scores were calculated as means ± standard deviation (SD) as previously performed in other studies . Comparison between the scores for EE, DP and PA for the fall and spring semester were compared using a t-test or Mann-Whitney test.
Test reliability of the MBI-ES using Cronbach’s alpha
Cronbach’s alpha was determined to assess the reliability of the MBI-ES in the group of students. Reliability scores of ≥0.5 were considered acceptable .
Factor analysis of the MBI-ES
Factor analysis was performed for two reasons. First, it was performed as a data reduction method for subsequent analysis, justify the use of summated scores in the 3 subscales (EE, DP and PA) and evaluate the correlation (loading) between the 22-items in the MBI-ES and EE, DP or PA subscales. Data reduction resulted in the 3 subscales namely EE, DP and PA. Secondly factor analysis was performed to provide validity evidence for the structure of the MBI-ES used in this study. Items with loading of greater than 0.40 were considered significant . In order to account for potential cross-loadings between the EE, DP or PA subscales, oblique rotation of the matrix in the factor analysis was performed . Rotation of the matrix in factor analysis assumed that the 3 subscales were not independent.
Multiple regression analysis
In order to evaluate the factors that predict the MBI-ES scores, a multiple regression analysis was performed. The dependent variable was the MBI-ES scores. Independent variables considered in the survey included the student’s gender, age of the student at completing the survey, marital status and the living arrangements (whether the student lived with a spouse/partner, another veterinary student, non-veterinary student or lived alone). A stepwise multiple regression was performed with variables with the lowest value of P to enter the model added until no variable had a value to enter of P <0.1. At each step all variables were evaluated to determine whether they remained significant after addition of any new variables. Initial inclusion of the variable into model was set at P <0.1 but a P value <0.05 was considered for final comparison.
One hundred and seventy and 123 students completed the survey in the fall and spring semesters, respectively from both classes. Response rate for the survey was 52.7%. Test reliability coefficients (Cronbach alpha) were 0.60 for EE, 0.52 for DP and 0.77 for PA. Minimum acceptable value for reliability coefficient is 0.5 , thus the coefficients indicated acceptable reliability.
Factor analysis results of the 22-items of the MBI-ES are summarized in Table 1. There were similarities and significant differences in the item loading compared to previous studies . Item 1, “I feel emotionally drained from my school”, considered an EE subscale item loaded positively with both EE and DP subscales. Item 6, (“Working with people all day is really a strain for me”) and item 16, (“Working with people directly puts too much stress on me”) considered as EE subscale items loaded positively with DP subscale and negatively with PA. Items 8 (“I feel burned out from school”), 13 (“I feel frustrated by school”) and 20 (“I feel like I’m at the end of my rope”) that are considered EE subscale items loaded positively with both EE and DP subscales. Item 10 (“I’ve become more callous toward people since I started school”) and 11 (“I worry that school is hardening me emotionally”), which are considered DP items loaded positively with both DP and EE subscales. Item 12 (“I feel energetic”), an item considered to be a PA subscale item loaded positively with the PA subscale and negatively with EE subscale. Item 19 (“I have accomplished many worthwhile things in school”), a PA subscale item loaded positively with PA subscale and negatively with DP. Finally, item 21 (“In school, I deal with emotional problems very calmly”), an item considered to be a PA item did not load significantly with PA, DP or EE subscales. Correlations among the 3 subscales are summarized in Table 2. Personal accomplishment subscale was negatively correlated with both EE and DP subscales while the EE and DP subscales were positively correlated.
The MBI-ES scores for the students are summarized in Table 3. Scores for EE were higher (P = 0.0002) in the spring semester compared to the fall semester. Scores for DP (P = 0.0526) and PA (P = 0.0898) were not different between the fall and spring semesters. Burnout is reported from low to moderate to high degree of experienced feelings . While higher mean scores for EE and DP scale correspond to higher degrees of burnout, low PA scores correspond to higher degrees of burnout . A high degree of burnout is indicated by high scores on EE and DP and low scores on PA . A moderate degree of burnout is reflected by moderate scores on EE, DP and PA while a low degree of burnout is indicated by low scores on EE and DP and high scores on PA . The students in this study had a moderate EE score, moderate DP score and low PA scores. Thus, the group of students in this study was considered to have a moderate degree of experienced feelings of burnout.
Living arrangements, specifically whether a student lived with another veterinary medical students or not was the only independent variable significantly associated with the MBI-ES scores in this group of students based on the results of the multiple regression analysis (Table 4). Veterinary students living with another student were more likely to have scores indicating low degree of burnout.
The main findings in this study was that the MBI-ES was an acceptable instrument to assess burnout in veterinary medical students based on the reliability coefficients for the EE, DP and PA scores and loading of the MBS-ES’s 22 items. The students evaluated in this study had a moderate experience of feelings of burnout. Scores for EE were higher in the spring semester compared to the fall semester. This observation was most likely due to the increased workload in spring due increase in the volume of the learning material because classes commence in fall of each year. Thus, students in the first and second years of veterinary school under the current curriculum experienced the greatest levels of emotional exhaustion during the spring semester. This has administrative implications for the school, when considering the allocation and use of resources for student support systems during each semester. Living with another veterinary student significantly predicted MBI-ES scores suggesting that veterinary students are more likely to be part of the support system to their peers to reduce stress and consequently reducing feelings of burnout. Previous studies indicated that in a 4 year-curriculum, first and fourth year students under 24 years of age, single females in their second year and married females in the fourth years had significantly higher scores for feelings of burnout . It is important to note that previous studies demonstrated test-retest reliability coefficients correlations for the subscales and the test-retest duration ranged from 2 weeks to 1 year ,-. Thus based on the results of this study and previous studies, we recommended having all students (first to fourth year students) complete the MBS-ES twice a year (fall and spring).
The loading of the MBI-ES, 22 items were similar to previous studies in some aspects  but differed significantly in the loading of several items (Table 1). Items 1, 8, 13 and 20 loaded significantly with EE and DP. Emotional exhaustion and DP have been reported to be highly and positively correlated in previous studies  and this is consistent in this current study (Table 2). Therefore the loading of the items with both EE and DP could be as a result of the correlation. Furthermore, previous studies indicated that EE and DP were also highly correlated with psychological and physiological strain . There is evidence that veterinary medical students experience psychological and physiological changes during training ,. Items 6 and 16 which are considered EE items  only loaded significantly with DP while other studies reported cross loading by item 16 with both EE and DP . One potential reason for Item 6 (‘Working with people all day is really a strain for me”) and 16 (‘Working with people directly puts too much stress on me”) lacking correlation with EE as expected, could be that the students in this study were in the first or second year of the curriculum and had minimum contact with the school’s employees but interacted mostly with their classmates. However both items 6 and 16 items unexpectedly loaded significantly and negatively with PA and this could be related to how the components of burnout develop. Studies by van Dierendonck and others  indicated that PA and DP determine EE, in contrast to studies by Maslach , which focused on EE. Thus the studies by van Dierendonck and others  suggested that focusing on early signs of EE was not recommended because when the signs of EE appeared, the burnout process was already underway. The mentioned reason may potentially explain why item 6 and 16 loaded significantly with DP and PA and not with EE. Positive correlation between EE and DP (Table 2) most likely explains the cross-loadings of item 10 and 11 with both EE and DP. The results of this study were consistent with previous studies  that indicated cross loading of item 12 with EE and PA. In contrast, to previous studies , item 19 loaded negatively with DP and positively with PA while no loading with any of the subscales was observed with item 21. Reasons for this difference are unclear.
Although burnout may be inevitable, prevention of burnout requires awareness about the signs of feelings of burnout by the students. Thus, classes for students that cover awareness about burnout and how to manage stress should be emphasized . Previous longitudinal studies involving employees in different fields recommended prevention of burnout by increasing employees’ competence in their job related skills rather than teaching them how to cope with emotional exhaustion . The low PA scores for this group of students indicated diminished personal accomplishment and low PA scores have been identified as a key factor in the development of burnout . In order to increase the sense of personal accomplishment and counteract burnout, specific training programs were recommended for employees in various fields . These training programs included role-playing to provide success experiences (enactive mastery), models of performances (vicarious experiences), coaching and encouragement (verbal persuasion) . Of these recommendations, coaching and encouragement are two aspects that can be incorporated into the stress management classes in the veterinary curriculum. During the implementation of the new curriculum at UC Davis in 2011, such classes were incorporated and integrated into the curriculum. Further studies are required to provide evidence if these classes improve the ability by the students to deal with stress thereby preventing burnout.
It is important to note the limitations of this study. Only 2 classes of the 4-year curriculum were considered in this study due to the technical administration of the survey. Thus the validity of this study maybe limited to these 2 classes and the results of the study may have weak external validity, when other veterinary schools are considered. The survey was voluntary and not random, thus introducing selection bias. Thus students who have experienced feelings of burnout were less motivated to complete the survey or more likely to complete the survey because the topic was relevant to them.
The MBI-ES can be used as a tool to assess burnout in veterinary medical students. It is practical to use the survey longitudinally (twice a year) in students in various classes of the 4-year curriculum to assess trends and correlations between EE, DP and PA subscales over time. The veterinary medical students in this study had a moderate range of experience feelings of burnout. In order to reduce burnout, school administrators should consider incorporation of classes that make students aware of signs of burnout and help them deal with various stressors during their training. Large numbers of students need to be considered in future studies including involvement of several veterinary schools, if possible, to assess similarities in results particularly loading of the 22-items with the EE, DP and PA subscales and other independent factors predicting the MBI-ES scores.
Munashe Chigerwe BVSc, MPH, PhD, DACVIM, is Associate Professor in the Medicine and Epidemiology Department, University of California-Davis, One Shields Avenue, Davis CA 95618 USA. E-mail: firstname.lastname@example.org. He is a faculty clinician in the Livestock Medicine and Surgery service of the Teaching Hospital and his research interests include neonatal immunity in dairy calves. Karen A. Boudreaux PhD, is Educational Specialist in the Academic Programs Department in the Dean’s Office, University of California-Davis, One Shields Avenue, Davis CA 95618 USA. Jan E. Ilkiw BVSc, PhD, DECVA, is Professor in the Surgical and Radiological Sciences and Associate Dean for Academic Programs, University of California-Davis, One Shields Avenue, Davis CA 95618 USA. She is a companion-animal anesthesiologist and her research interests include pharmacology of injectable anesthetics.
Maslach Burnout Inventory-Educator Survey
Strand EB, Zaparanick TL, Brace JJ: Quality of life and stress factors for veterinary students. J Vet Med Educ. 2005, 32: 182-192. 10.3138/jvme.32.2.182.
Collins H, Foote D: Managing stress in veterinary students. J Vet Med Educ. 2005, 32: 170-172. 10.3138/jvme.32.2.170.
Hafen M, Reisbig AMJ, White MB, Rush BR: The first-year veterinary student and mental health: the role of common stressors. J Vet Med Educ. 2008, 35: 102-109. 10.3138/jvme.35.1.102.
Hafen M, Reisbig AMJ, White MB, Rush BR: Predictors of depression and anxiety in the first-year veterinary students: a preliminary report. J Vet Med Educ. 2006, 33: 432-440. 10.3138/jvme.33.3.432.
Schwenk TL, Davis L, Wimsatt LA: Depression, stigma, and suicidal ideation in medical students. J Am Med Assoc. 2010, 304: 1181-1190. 10.1001/jama.2010.1300.
Kessler RC, Chiu WT, Demler O, Walters EE: Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005, 62: 617-627. 10.1001/archpsyc.62.6.617.
Platt B, Hawton K, Simkin S, Mellanby RJ: Systematic review of the prevalence of suicide in veterinary surgeons. Occup Med. 2010, 60: 436-446. 10.1093/occmed/kqq044.
Gold Y: Burnout: a major problem for the teaching profession. Education. 1984, 104: 271-274.
Maslach C, Jackson SE: Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Maslach Burnout Inventory Manual. Edited by: Maslach C, Jackson SE, Leiter P. 1996, Consulting Psychologists Press, Mountain View, CA, 1-48. 3
Shanafelt TD, Bradley KA, Wipf JE, Back AL: Burnout and self-reported patient in an internal medicine residency program. Ann Intern Med. 2002, 136: 358-367. 10.7326/0003-4819-136-5-200203050-00008.
Thomas NK: Resident burnout. J Am Med Assoc. 2004, 292: 2880-2889. 10.1001/jama.292.23.2880.
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. J Am Med Assoc. 2006, 296: 1071-1078. 10.1001/jama.296.9.1071.
Maslach C, Jackson SE: Patterns of burnout among a national sample of public contact workers. J Health Hum Resour Admin. 1984, 7: 133-153.
Maslach C: Burnout in social services. J Soc Serv Res. 1987, 10: 95-105. 10.1300/J079v10n01_09.
Pines A, Maslach C: Characteristics of staff burnout in mental health settings. Hosp Community Psychiatry. 1978, 29: 233-237.
Maslach C, Jackson SE: Burned-out cops and their families. Psychology Today. 1979, 12: 59-62.
Gold Y: The factorial validity of the Maslach Burnout Inventory in a sample of California elementary and junior high school classroom teachers. Educ Psychol Meas. 1984, 44: 1009-1016. 10.1177/0013164484444024.
Elkins AD, Elkins JR: Professional burnout among US veterinarians: how serious a problem?. Vet Med. 1987, 82: 1245-1250.
Elkins AD, Kearney M: Professional burnout among female veterinarians in the United States. J Am Vet Med Assoc. 1992, 200: 604-608.
Reijula K, Räsänen K, Hämäläinen M, Juntunen K, Lindbohm ML, Taskinen H, Berghom B, Rinta-Jouppi M: Work environment and occupational health of Finnish veterinarians. Am J Ind Med. 2003, 44: 46-57. 10.1002/ajim.10228.
Hansez I, Schins F, Rollin F: Occupational stress, work-home interference and burnout among Belgian veterinary practitioners. Ir Vet J. 2008, 61: 233-241. 10.1186/2046-0481-61-4-233.
Hatch PH, Winefield HR, Christie BA, Lievaart JJ: Workplace stress, mental health, and burnout of veterinarians in Australia. Aust Vet J. 2011, 89: 460-468. 10.1111/j.1751-0813.2011.00833.x.
Guthrie E, Black D, Bagalkote H, Shaw C, Campell M, Creed F: Pyschological stress and burnout in medical students: a five-year prospective longitudinal study. J R Soc Med. 1998, 91: 237-243.
Dyrbye LN, Thomas MR, Huntington JL, Lawson KL, Novotny PJ, Sloan JA, Shanafelt TD: Personal life events and medical student burnout: a multicenter study. Acad Med. 2006, 81: 374-384. 10.1097/00001888-200604000-00010.
Dyrbye LN, Thomas MR, Huschka MM, Novotny PJ, Sloan JA, Shanafelt TD: A multicenter study of burnout, depression, and quality of life in minority and nonminority US medical students. Mayo Clin Proc. 2006, 81: 1435-1442. 10.4065/81.11.1435.
Dyrbye LN, Thomas MR, Eacker A, Harper W, Massie FS, Power DV, Huschka MM, Novotny PJ, Sloan JA, Shanafelt TD: Race, ethnicity, and medical well-being in the United States. Arch Intern Med. 2007, 167: 2103-2109. 10.1001/archinte.167.19.2103.
Thomas MR, Dyrbye LN, Huntington JL, Lawson KL, Novotny PJ, Sloan JA, Shanafelt TD: How do distress and well being relate to medical student empathy. A multicenter study. J Gen Intern Med. 2007, 22: 177-183. 10.1007/s11606-006-0039-6.
Elkins AD: Veterinary student burnout: the results of a burnout questionnaire administered to two hundred-eight veterinary students at Texas A & M University. Southwestern Vet. 1984, 36: 19-24.
Pines A, Aronson E: Burnout: From Tedium to Personal Growth. 1981, The Free Press, New York
University of California, School of Veterinary Medicine. , [http://www.vetmed.ucdavis.edu]
Chigerwe M, Ilkiw JE, Boudreaux KA: Influence of a veterinary curriculum on the approaches and study skills of veterinary medical students. J Vet Med Educ. 2011, 38: 384-394. 10.3138/jvme.38.4.384.
Tait H, Entwistle N, McCune V: ASSIT: A reconceptualisation of the Approaches to Studying Inventory. Improving Student Learning: Improving Students as Learners. Edited by: Rust C. 1998, Oxford Center for Staff and Learning Development, Oxford, 262-271.
Cody RP, Smith JK: Factor Analysis. Applied Statistics and the SAS Programming Language. 1997, Prentice-Hall, Saddle River, NJ, 250-262. 4
Jackson SE, Schwab RL, Schuler RS: Toward an understanding of the burnout phenomenon. J Appl Psychol. 1986, 71: 630-640. 10.1037/0021-9010.71.4.630.
Leiter MP: The impact of family and organizational resources on the development of burnout: a longitudinal study. Human Rel. 1990, 43: 1067-1083. 10.1177/001872679004301102.
Leiter MP, Durup MJ: Work, home and in-between: a longitudinal study of spillover. J Appl Behavi Sci. 1996, 32: 29-47. 10.1177/0021886396321002.
Lee RT, Ashforth BE: A further examination of managerial burnout: toward an intergrated model. J Organiz Behav. 1993, 14: 3-20. 10.1002/job.4030140103.
Siqueira Drake AA, Hafen M, Rush BR, Reisbig AMJ: Predictors of anxiety and depression in veterinary medicine students: a four-year cohort examination. J Vet Med Educ. 2012, 39: 322-330. 10.3138/jvme.0112-006R.
Byrne BM: The Maslach Burnout Inventory: testing for factorial validity and invariance across elementary, intermediate and secondary teachers. J Occup Organ Pyschology. 1993, 66: 197-212. 10.1111/j.2044-8325.1993.tb00532.x.
van Dierendonck D, Schaufeli WB, Buunk BP: Toward a process model burnout: results from a secondary analysis. Eur J Work and Organ Psychol. 2001, 10: 41-52. 10.1080/13594320042000025.
Maslach C: Burnout: A Multidimensional Perspective. Professional Burnout: Recent Developments in Theory and Research. Edited by: Schaufeli WB, Maslach C, Marek T. 1993, Hemisphere, New York, 19-32.
Cherniss C: Role of Professional Self-Efficacy in the Etiology and Amelioration of Burnout. Professional Burnout: Recent Developments in Theory and Research. Edited by: Schaufeli WB, Maslach C, Marek T. 1993, Hemisphere, New York, 134-149.
Bandura A: Self Efficacy: The Exercise of Control. 1997, W.H Freeman, New York
The authors would like to thank all the students who took their time and completed the survey.
The authors declare that they have no competing interests.
MC, JI and KB framed the ideas. JI and KB collected data, organized the data and proof read the manuscript. MC performed the data analysis and wrote the manuscript. All authors read and approved the final manuscript.
About this article
Cite this article
Chigerwe, M., Boudreaux, K.A. & Ilkiw, J.E. Assessment of burnout in veterinary medical students using the Maslach Burnout Inventory-Educational Survey: a survey during two semesters. BMC Med Educ 14, 255 (2014). https://doi.org/10.1186/s12909-014-0255-4