==== Front Ann Saudi MedAnn Saudi MedAnnals of Saudi Medicine0256-49470975-4466King Faisal Specialist Hospital and Research Centre 2418893810.5144/0256-4947.2013.451asm-5-451Original ArticlePhysician well-being: prevalence of burnout and associated risk factors in a tertiary hospital, Riyadh, Saudi Arabia Aldrees Turki Mohammed aAleissa Sami bZamakhshary Mohammed cBadri Motasim aSadat-Ali Mir d a King Saud Bin Abdulaziz University for Health Sciences, Medical College, Riyadh, Saudi Arabia b National Guard Hospital, Surgery, Riyadh, Saudi Arabia c Ministry of Health, Riyadh, Saudi Arabia d King Faisal University, Orthopaedic Surgery, Al-Khobar, Saudi ArabiaCorrespondence: Dr. Turki Mohammed Aldrees, King Saud Bin Abdulaziz for Health Sciences, Medical College, Riyadh, Saudi Arabia, T: +966-11-801-1111, Ext: 15425, F: +966-11-801-5700, pt.turki@hotmail.comSep-Oct 2013 33 5 451 456 Copyright © 2013, Annals of Saudi Medicine2013This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.BACKGROUND AND OBJECTIVES This study is to determine level and factors associated with burnout among physicians in a tertiary hospital in Saudi Arabia. DESIGN AND SETTINGS This is a cross-sectional study, conducted at the King Fahad National Guard Hospital at in King Abdulaziz Medical City between October 2010 and November 2010. METHODS The Maslach Burnout Inventory questionnaire was used to measure burnout. Socio-demographic-, specialty-, and work-related characteristics were added to explore factors associated with burnout. RESULTS The study included 348 participants; 252 (72%) were males, 189 (54%) were consultants, and 159 (46%) were residents. The mean (SD) age was 35 (9.8) years. The burnout prevalence was 243/348 (70%); 136 (56%) of the 243 were residents and 107 (44%) were consultants. Age, female gender, marital status, number of years in practice, sleep deprivation, presence of back pain, and a negative effect of practice on family life were associated with burnout in the univariate logistic regression analysis. The factors independently associated with burnout in the final multivariate model were as follows: suffering from back pain (odds ratio [OR]=2.1, 95%CI 1.2–3.8, P=.01), sleep deprivation (OR=2.2, 95%CI 1.2–3.8, P=.009), being a resident physician/surgeon (OR=4.9, 95%CI 1.7–14.2, P=.004), and negative effect of practice on family life (OR=2.1, 95%CI 1.1–3.9, P=.02). CONCLUSION In this study, the prevalence of burnout was found to be higher than estimates documented in most other studies. Reported risk factors should be addressed to decrease the prevalence and consequences of burnout. ==== Body The term “burnout” was invented by Herbert Freudenberger in 1970 to describe the consequences of occupational severe emotional stress experienced by certain professionals, such as medical doctors, nurses, and police personnel, dedicating themselves for the well-being of others with a consequence of succumbing to a state of burnout.1 Although there is no precise and clear definition for the term burnout up to date; however, the most adopted approach to understand and quantify this phenomenon is the Maslach Burnout Inventory (MBI), which was developed by Maslach in 1976.2–4 The MBI is a self-assessment survey instrument that consists of 22 questionnaire items. This instrument defines and quantifies burnout as a 3-dimensional syndrome of emotional exhaustion (feeling of emotionally drained and tired or fatigued by contact with other people), depersonalization (negative feelings and cynical attitudes toward the recipients of one’s service or care), and reduced accomplishment (tendency to evaluate one’s work negatively). Many factors associated with burnout, such as age, sex, working hours, job dissatisfaction, marital status, and work–home interference, have been identified in previous studies.5–7 Burnout has potential serious consequences for employees, employers, clients, and institutions. These include mental and physical health illness, occupational conflicts, absenteeism, decreased job performance, reduced job commitment, and sub-optimal patient care practices that may eventually compel a physician to leave the field of medicine.5,7,8 This syndrome has been investigated in a wide variety of different medical specialties in different countries. 9–21 Despite the deleterious consequences of this syndrome, there are limited published data among Saudi Arabian physicians and surgeons. This study was conducted to determine the prevalence of burnout and associated risk factors among consultants and residents in different specialties working in the same tertiary hospital work environment in Riyadh, Saudi Arabia. METHODS All consultants and residents who were undergoing training in surgery, OB/GYN, anesthesia, emergency medicine, internal medicine, family medicine, pediatrics, cardiology, psychiatry, and intensive care in King Abdulaziz Medical City, Riyadh, Saudi Arabia, were approached to participate in the study. We excluded physicians/surgeons who were not practicing clinical work and residents who were rotating in other hospitals during the study. We used the English version of the MBI to measure the prevalence of burnout. The MBI has been validated widely used as a reliable instrument to measure burnout in different medical specialties.9–13 It consists of 22 items, which are used to measure 3 domains of burnout. These domains are as follows: emotional exhaustion, 9 items (feeling emotionally drained, tired, or fatigued by one’s contact with other people); depersonalization, 5 items (tendency to view the others as objects rather than as feeling persons); and personal accomplishment, 8 items (the degree to which a person perceives doing well on worthwhile tasks).2 The participant answers these items using a 7-point scale ranging from 0 (never) to 6 (every day). However, a study suggested that the most 2 important items from these 22 items that can be indicative of burnout are (1) “I feel burned out from my work” and (2) “I have become more callous toward people since I took this job”.22 The second part of the questionnaire was added to assess the associated risk factors of burnout at our institute. These included demographic data (age, gender, marital status, number of children, current positions, and nationality), specialty-related questions (specialty name, board name, number of fellowships, and years of experience), and work-related questions (number of on call days/month, number of clinics/week, number of patients/clinic, number of vacations days/year, number of operations/week, impact of specialty on family life, job income satisfaction, working in the private sector, and presence of back pain). This questionnaire was distributed by the secretary in each department and by the principal investigator to improve the response rate. Residents were targeted during their education activities. For the purpose of this study, burnout was defined as the presence of one or more of the following: (1) high score (27 or over) in emotional exhaustion; (2) high score in depersonalization (13 or over); and (3) low score in personal accomplishment (0–31). All participants with a high score in 1 or more of these 3 domains were included in the burnout group. The rest were included as a comparison group. This survey was conducted between October and November 2010 after approval by the Ethics Committee of the King Abdullah International Medical Research Center. All respondents were given information regarding the purpose of the study. The sample size was estimated at the 95% confidence level with an expected proportion of 0.5 and an acceptable margin of error of 0.05. The minimum required sample size was 341. Burnout was modeled as a binary variable (burnout or no burnout) using the conventional and predetermined cutoffs defined earlier. As such, each participant was allocated in 1 of the 2 mutually exclusive and exhaustive categories of burnout status. Categorical variables were compared using the chi-square test. Student t test was used for numerical factors (age, number of children, number of fellowships, clinics/week, hours on call/month, operating days/week, and vacation days/year). Logistic regression models were fitted to estimate the effect size of the risk factors by calculating odd ratios (ORs) with 95% confidence intervals. All variables significant in the univariate analysis were included in a final multivariate model fitted to obtain adjusted estimates of the ORs and to identify risk factors that were independently associated with burnout. All tests were 2 sided, and a P value<.05 was considered significant. The statistical analysis was performed using SPSS software version 16 (SPSS Inc. Chicago, USA). RESULTS A total of 348 questionnaires were collected. The overall response rate was 74%. The mean age (SD) of respondents was 35 (9.8) years; 72% were male, 87% of Saudi nationality, 74% married, 54% consultants, and 46% were residents. More than 50% of participants were in practice for ≤5 years, 10% worked concurrently in the private sector, and 58% were satisfied with their income. Approximately, 73% indicated that their family life were negatively affected by their current job; 86% suffered from sleep deprivation (≤6 hours/day), and 65% had back pain (Table 1). The overall burnout prevalence was 243/348 (70%). The participants in the burnout group were significantly younger (P<.001), had a significantly increased proportion of individuals with female sex (P=.02), had an unmarried status (P=.003), were in resident employment category (P<.001), had a lower total number of years in practice (P<.001), were individuals whose current job negatively affected their family life (P<.001), and were suffering from sleep deprivation (P<.001) or back pain (P<.001) compared with those in the comparison group (Table 1). The response rate did not statistically differ by consultants or residents across specialties (ranging from 65% to 100%). The burnout prevalence across specialties was not statistically different (P=.09) (Table 2). However, the prevalence was highest (≥70%) among OB/GYN, surgery, family medicine, anesthesia, intensive care, internal medicine, and pediatric specialists and lowest (39%) among cardiology specialists. In addition, the prevalence of burnout syndrome was significantly higher in residents (136/159 [86%]) compared with consultants (107/189 [57])S, <.001. Of all respondents, 188 (54%) were found to be in high emotional status, 121 (35%) in high depersonalized status, and 119 (33%) in low personal accomplishment status (Table 3). In the univariate logistic regression analysis, burnout was significantly associated with female gender, younger age, unmarried, resident physician/surgeon, and a negative effect of practice on family life. However, in the final multiple logistic regression analysis, the factors independently associated with burnout were as follows: suffering from back pain (odds ratio [OR]=2.1, 95% CI 1.2–3.8, P=.01), having sleep deprivation (OR=2.2, 95%CI 1.2–3.8, P=.009), being a resident physician/surgeon (OR=4.9, 95% CI 1.7–14.2, P=.004), and having a negative effect of practice on the family life (OR=2.1, 95%CI 1.1–3.9, P=.02) (Table 4). DISCUSSION The findings of this study indicate that the burnout syndrome is highly prevalent among physicians across all specialty categories working in this large tertiary health care institution in Riyadh, Saudi Arabia. In addition the study reveals that physicians are in an unacceptable state of measurable parameters of burnout. The prevailing working conditions might lead to negative mental and physical health conditions with far-reaching consequences to the quality and efficacy of patient care. These findings have obvious public health implications that needed to be addressed. In this cohort, this syndrome was disproportionately affecting participants of young age, female sex, unmarried marital status, participants at initial stage of medical practice, participants of resident physician/surgeon employment category and individuals whose current job negatively affected their family life, and individuals who were suffering from sleep deprivation or back pain. The latter four factors were independently associated with increased likelihood of burnout. However, it is difficult to ascertain temporality of the latter two factors due to the fact that they may be consequences rather than predisposing factors for burnout. Across all burnout subscales, the highest scores were observed in the emotional exhaustion subscale (54%) followed by depersonalization (35%) and low sense of personal accomplishment (33%). The 54% rate of emotional exhaustion calculated in this study is higher than rates reported in most studies conducted in Western countries, but it was similar to the 50.7% rate reported by another study conducted in the western region of Saudi Arabia.16 However, that study was based on a limited sample of orthopedic consultants. In the other two studies conducted in Saudi Arabia among Saudi nurses23 and primary care physicians,24 high emotional exhaustion rates were 46% and 53%, respectively. In Western countries, Campbell and colleagues found that 32% of the individuals they studied had a high level of emotional exhaustion.15 Bertges et al reported a prevalence of 38% among transplant surgeons.13 Elit et al reported a prevalence of 34% in a study including gynecologic oncologists.17 Another study found that 38% of OB/GYN residents reported high levels of emotional exhaustion.20 Alarmingly, the most affected physicians with the burnout syndrome in this study were resident physician/surgeon and those at the early stage of their medical career. The prevalence of burnout was higher among residents than consultants (86% and 57%, respectively). Ozyurt et al reported that the mean scores of emotional exhaustion and depersonalization were significantly higher among physicians <29 years of age than among those who were older.5 In addition, internal medicine residents reported significantly higher (35%) depersonalization than specialists (9%).10 In surgery specialty, Campbell et al reported that younger surgeons are more susceptible to burnout than older surgeons (P<.01).15 Our study did not correlate the quality of care with the burnout syndrome, but studies conducted elsewhere demonstrated increased patient dissatisfaction and lower compliance with care when patients were treated by physicians exhibiting burnout syndrome symptoms. In a study that linked burnout to a measure of the quality of care, Shanafelt et al showed that the burnout syndrome among resident physicians is associated with increased self-reported suboptimal patient care practices. 11 Burnout residents more often reported suboptimal patient care practices than residents without burnout (53% vs 21%, respectively). These findings suggest that increased attention to improving the working conditions of residents is warranted and that further studies of possible interventions are critical. This study has limitations. This study was carried out in a single tertiary institution. As such it is not possible to generalize our findings to physicians working elsewhere in the Kingdom. These should encourage a multicenter study. However, the overall and subscale burnout rates calculated in this study concur with those reported in previous local studies. In addition, physicians in this institution work in a setting typical for tertiary health care facilities in Saudi Arabia. Despite the fact that we met our target sample, some physicians declined to participate in our study. We cannot exclude the possibility that those who did not participate experienced a different degree of burnout than responders. Finally, this study is limited by its cross-sectional design that typically limits confirmation of temporality and causality of the factors we explored as explanatory factors of the burnout syndrome. Our study has several strengths. First, we had an excellent survey response rate. Second, to our knowledge it is the only study that determined the prevalence of burnout among physicians/surgeons in different specialties, contrary to other studies focusing on a single specialty. Third, we explored many risk factors that have been reported elsewhere in the published reports. In conclusion, in this study, the prevalence of burnout among the resident and consultant physicians/surgeons in a major tertiary Saudi hospital was found to be higher than that reported by most other studies. Several factors associated with burnout have been identified. These risk factors should be studied further to better understand how best to address the prevalence of burnout and avoid its consequences. Acknowledgments The authors would like to thanks all the participants, Dr. Aamir Omair, Mayssa Saadeh and Manal Al-Humdan for their assistance. Table 1 Characteristics of participants stratified by burnout status. Characteristics Burnout (n=243) n (%) Non-burnout (n=105) n (%) P value Age, mean (SD) 33 (9) 39 (11) <.001 Sex  Female 76 (31) 20 (19) .02  Male 167 (69) 85 (81) Nationality .  Saudi 217 (89) 86 (82) .06  Non-Saudi 26 (11) 19 (18) Marital status  Not married 74 (30) 16 (15) .003  Married 169 (70) 89 (85) Employment  Consultant 107 (44) 82 (86) <.001  Resident 136 (56) 23 (14) Family life affecteda  Yes 193 (79) 60 (57) <.001 Income satisfaction  Yes 135 (56) 68 (65) .13 Working in private sector  Yes 23 (9) 13 (12) .41 Years in practice  ≤ 5 y 156 (65) 33 (31) <.001  6–10 y 30 (12) 16 (15)  11–15 y 20 (8) 21 (20)  ≥ 16 y 37 (15) 35 (34) Sleep deprivation (<6 h/d)  Yes 179 (74) 57 (54) <.001 Back pain  Yes 176 (72) 51 (48) <.001 a Perception of respondent whether his current job affected his family life. Table 2 Prevalence of burnout in different specialties. Specialty Total Burnout n (%) OB/GYN 36 28 (78) Surgery 76 58 (76) Family medicine 38 29 (76) Anesthesia 17 12 (70) Intensive care 10 7 (70) Internal medicine 66 46 (70) Pediatric 57 40 (70) Emergency medicine 25 13 (52) Psychiatry 10 5 (50) Cardiology 13 5 (39) Total 348 243 (70) Table 3 Prevalence of burnout based on burnout subscales. Burnout subscales Lowa n (%) Moderateb n (%) Highc n (%) Emotional exhaustion (EE) 56 (16%) 104 (30%) 188 (54%) Depersonalization (DP) 152 (44%) 75 (22%) 121 (35%) Personal accomplishment (PA) 119 (34%) 113 (33%) 116 (33%) a EE High: 27 or over, EE Moderate:17–26, EE low:0–16. b DP High:13 or over, DP Moderate:7–12, DP Low:0–6. c PA High:0–31, Moderate:32–38, Low:39 or over. (In the opposite direction from EE and DP) Table 4 Univariate and multivariate regression analyses of risk factors. Characteristic Univariate analysis Multivariate analysis OR (95%CI) P value OR (95%CI) P value Age 0.94 (0.92–0.97) <.001 1.0 (0.9–1.0) .2 Gender  Female 1.9 (1.1–3.4) .019 1.3 (0.6–2.5) .5  Male 1 1 Marital status  Married 0.4 (0.2–0.8) .006 1.2 (0.6–3.0) .6  Unmarried 1 1 Years in practice <.001 .5  Years in practice (≤5) 4.5 (2.5–8.1) <.001 2.2 (0.6–7.6) .2  Years in practice (6–10) 1.8 (0.8–3.8) .14 2.0 (0.7–5.6) .2  Years in practice (11–15) 0.5 (0.4–1.9) .8 1.6 (0.6–4.3) .4  Years in practice (≥16) 1 1 Employment  Residents 4.5 (2.6–7.6) <.001 4.9 (1.7–14.2) .004  Consultants 1 1 Sleep deprivation  Yes 2.3 (1.4–3.8) <.001 2.2 (1.2–3.8) .009  No 1 1 Family life affected 2.8 (1.8–4.8) <.001 2.1 (1.1–3.9) .02  Yes  No 1 1 Back pain  Yes 2.7 (1.7–4.4) <.001 2.1 (1.2–3.8) .01  No 1 1 ==== Refs REFERENCES 1 Freudenberger HJ Staff burnout J Social Issues 1974 30 159 65 2 Maslach C Burned-out Hum Behav 1976 5 16 22 3 Kuhn G Goldberg R Compton S Tolerance for uncertainty, burnout, and satisfaction with the career of emergency medicine Ann Emerg Med 2009 54 1 106 13 e6 19201058 4 Maslach C Jackson SE Maslach Burnout Inventory Palo Alto, CA Consulting psychologists Press 1991 5 Ozyurt A Hayran O Sur H Predictors of burnout and job satisfaction among Turkish physicians QJMed 2006 99 3 161 9 6 Shanafelt TD Sloan JA Habermann TM The well-being of physicians Am J Med 2003 15 114 6 513 9 12727590 7 Myers MF The well-being of physician relationships West J Med 2001 174 1 30 3 11154663 8 McNearney TA Hunnicutt SE Maganti R Rice J What factors relate to job satisfaction among rheumatologists? 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