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Evaluation of Burnout Levels of the Academic Staff and Research Assistants Working at Medical Faculties
Tıp Fakültelerinde Çalışan Öğretim Üyeleri ve Araştırma Görevlilerinde Tükenmişlik Düzeylerinin Değerlendirilmesi
Mustafa Armutlukuyu, Kamile Marakoğlu, Nisa Çetin Kargın

Euras J Fam Med 2019;8(1):10-18. https://doi.org/10.33880/ejfm.2019080102

 

Original Research / Orijinal Araştırma


ABSTRACT

Aim: It was aimed to evaluate the burnout levels of the academicians and research assistants employed at Medical Faculty of Selcuk University and Necmettin Erbakan University, and to investigate the factors affecting the level of burnout.

Methods: This study included total 894 subjects; 564 faculty members and research assistants working at Necmettin Erbakan University and 330 faculty members and research staff employed at Faculty of Medicine, Selçuk University. A questionnaire consisting of 50 questions containing sociodemographic characteristics of the participants, and the Maslach Burnout Inventory (MBI) were filled with face-to-face interviews.

Results: Of the participants, 63.1% were working at the University of Necmettin Erbakan, and 36.9% at Selçuk University. While the mean emotional exhaustion (EE) (p<0.001) and depersonalization (DP) (p<0.001) scores of the physicians who work in basic medical sciences, the staff titled Prof. Dr. and Assoc. Prof. Dr., the physicians with administrative duties, the staff at/over 40 years old and the married physicians were statistically significantly lower than those of the staff employed in the other medical and surgical sciences, the staff with other titles, the physicians without administrative duties, the staff under 40 years old and the single staff respectively; personal success (PS) mean scores were statistically significantly higher (p<0.001). 

Conclusion: In particular, the supports reducing burnout and motivating should be provided and maintained to the physicians who are employed at such places especially as Faculties of Medicine which aims both to provide the highest level of health care in the region and to raise the physicians of the future.

Keywords: burnout, professional, medical faculty, medical residency

ÖZ

Amaç: Selçuk Üniversitesi Tıp Fakültesi ve Necmettin Erbakan Üniversitesi Meram Tıp Fakültesinde görev yapan öğretim üyeleri ve araştırma görevlilerinde tükenmişlik düzeylerinin değerlendirilmesi ve tükenmişlik düzeylerini etkileyen faktörlerin araştırılması amaçlanmaktadır.

Yöntem: Bu çalışmaya Necmettin Erbakan Üniversitesi Meram Tıp Fakültesi’nde görev yapmakta olan 564 öğretim üyesi ve araştırma görevlisi ile Selçuk Üniversitesi Tıp Fakültesi’nde görev yapmakta olan 330 öğretim üyesi ve araştırma görevlisi olmak üzere 894 kişi alındı. Katılanların sosyodemografik özelliklerini içeren 50 sorudan oluşan anket formu ve Maslach Tükenmişlik Ölçeği (MTÖ) yüz yüze görüşme yöntemi ile dolduruldu. 

Bulgular: Çalışmaya katılanların %63,1' i Necmettin Erbakan Üniversitesi’nde %36,9' u Selçuk Üniversitesi’nde görev yapmakta idi. Temel tıp bilimlerinde görev yapan hekimlerin dahili ve cerrahi bilimlerde görev yapanlara göre, Prof. Dr. ve Doç. Dr. ünvanıyla görev yapanların diğer akademik ünvanlara göre, idari görevi olanların olmayanlara göre, 40 yaş ve üzerinde olanların 40 yaşın altında olanlara göre, evli olanların bekar olanlara göre DT (Duygusal Tükenme) ve D (Duyarsızlaşma) puan ortalamaları istatistiksel olarak anlamlı derecede düşük bulunmuş iken; KB (Kişisel Başarı) puan ortalamaları istatistiksel olarak anlamlı derecede yüksek idi (p<0,001).

Sonuç: Özellikle tıp fakülteleri gibi hem bulunduğu bölgede en üst seviye sağlık hizmeti vermeyi planlayan, hem de geleceğin hekimlerini yetiştirmeyi hedefleyen kurumlarda çalışan hekimlere, tükenmişliği azaltıcı sosyal ve çalışmayı motive edici destekler verilmeli ve sürdürülmelidir.

Anahtar kelimeler: tükenmişlik, mesleki, tıp fakültesi, tıp asistanlığı


 

Introduction

Christina Maslach who also developed the Maslach Burnout Inventory (MBI) introduced the most common and acknowledged current definition of burnout. Burnout, according to Maslach, is a syndrome seen in people who are exposed to intensive emotional requests and have to work constantly face to face with other people at work and thus it refers to their negative reflection of physical exhaustion, prolonged fatigue, and feelings of desperation and hopelessness on their jobs, lives, and other people (1-3). Although it has been stated that burnout, which is known as a syndrome, was seen in almost all professional fields, it is seen more frequently in professions that necessitate face to face relationships with other people, especially in the medical field. Reasons such as dealing with possibly mortal diseases, making important decisions about human life, facing significant consequences of these decisions, constantly trying to avoid making mistakes, and offering emotional support to patients and their relatives when necessary, cause burnout in physicians. Further, irregular and long work-hours, patient overcrowding, intensive work tempo, racing against time, working with substandard associates regarding number and competence, uncertainty of roles, the necessity to constantly follow developments in the medical field, high expectations of both the physicians and their families and social circle, economic anxieties, and not being able to allocate enough time to themselves and to their private lives while trying to cope with such problems are among the other reasons that lead to burnout as well (1-4). 

This study aims at evaluating the levels of burnout and exploring the factors affecting the level of burnout in academicians (lecturers; assistant, associate professors, and professors) and research assistants working at Selçuk University Medical Faculty and Necmettin Erbakan University Meram  Medical Faculty. Moreover, it is also suggested that the study will contribute both to the quality of medical training and patients’ services at universities by offering preventive solutions to the burnout syndrome in academicians working at medical faculties in the light of the data collected.

Methods

It was planned that the study would cover a total of 1051 medical professionals based on the lists obtained from Selçuk University Medical Faculty and Necmettin Erbakan University Meram Medical Faculty including 141 professors and 214 research assistants working at Selçuk University Medical Faculty and 284 professors and 412 research assistant working at Necmettin Erbakan University Meram Medical Faculty. Generally, when the percentage of those who had left the university, who had retired, who had resigned, who had completed their residencies, who had been abroad, and who had been on maternal leave during the course of the study at Selçuk University Medical Faculty and Necmettin Erbakan University Meram Medical Faculty were excluded from the study, we have no extra limitations , the rate of participation to the study was found to be 91% (894/978). Written informed consent was received from subjects who participated in this study.

This study, approved by Selçuk University Medical Faculty’s board of ethics, was conducted between April 1, 2013 and January 1, 2014 with physicians working at Selçuk University Medical Faculty and Necmettin Erbakan University Meram Medical Faculty.

The socio-demographic data questionnaire developed by the researcher covered a total of 50 questions related to age, gender, marital status, department (internal, surgical, basic medical sciences), terms of employment, voluntary choice of department, and the average number of on call duties per month. The questionnaires have been distributed and were filled under a researcher’s supervision (EA), who collected the forms after they had been completed by visiting medical staff at their departments through face to face interviews. 

Maslach and Jackson developed the Maslach Burnout Inventory (MBI) in 1981. The inventory evaluates burnout in three sub-dimensions: emotional exhaustion (EE), depersonalization (D), and personal achievement (PA) and it is made up of a total of 22 items. The articles in the inventory are scored as never (0) and everyday (4). According to the scoring, the scores that can be obtained from the sub-dimensions of the inventory vary between (0-36) for EE; (0-20) for (D); and (0-32) for PA.

All the data collected were evaluated by SPSS 16.0 statistics package program. Numbers, percentages, means, and standard deviation were used in the evaluation of the data. Chi-square test and Student-t test were conducted between the groups by handing out the frequency distribution of categorical data. Pearson correlation analyses were used to determine the relation between the numerical variables. Correlation coefficient (r); from 0.000 to 0.249 was considered weak; from 0.250 to 0.499 moderate; from 0.500 to 0.749 strong; and between 0.750 to 1.000 was considered a very strong relationship. ANOVA variance analysis was used in the comparison of more than two mean figure. Comparison test was applied as Post Hoc test.

Results

36.9% of the physicians who participated in the study worked at Selçuk University, while 63.1% worked at Necmettin Erbakan University. 13.3% of these physicians were professors, 7.8% were associate professors, 13.5% were assistant professors, 5.9% were specialists+lecturers, and 59.5% were research assistants. Other characteristics of the physicians’ socio-demographic data have been offered in Table 1.

 

Table 1. The socio-demographic data of the physicians

 

n

%

Work place

 

 

Selçuk University

330

36.9

Necmettin Erbakan University

564

63.1

Department

 

 

Basic medical sciences

98

11.0

Internal 

499

55.8

Surgical

297

33.2

Academic title

 

 

      Professors

119

13.3

Associate  professors

70

  7.8

Assistant professor

121

13.5

Lecturers+ assistant

53

  5.9

Research  assistants

531

59.5

Administrative tasks

 

 

No 

811

90.7

Yes 

83

  9.3

Gender 

 

 

Female

342

38.3

Male 

552

61.7

Age

 

 

      29  and ↓

377

42.2

30-39 

292

32.6

40-49 

136

15.2

50 and ↑

89

10.0

Marial Status 

 

 

Married 

Not married                                                                                                                                              

637

71.3

BMI

257

28.7

Weak 

16

 1.8

Normal

430

48.1

      Overweight

371

41.5

Obese

77

  8.6

Husband or wife profession

 

 

Worked

552

61.7

Non-worked

85

  9.6

No husband or wife

257

28.7

Number of children

 

 

No

428

47.9

1-2

374

41.8

3 and ↑

  92

10.3

House 

 

 

Rent

443

49.5

My own

359

40.2

Dad home 

  92

10.3

Have a car

 

 

No 

158

17.7

Yes 

736

82.3

Have a disesase

 

 

No

764

85.5

Physical

100

11.2

Mental 

  30

  3.3

Impaired assets someone in the family

 

 

No

847

94.7

Yes

  47

 5.3

Who do you live with at home

 

 

Alone 

119

13.3

Mom+dad

103

11.5

Wife+children

581

65.0

Mom+dad+wife+children

  53

  5.9

Friend

  38

  4.3

Total

894

100.0

 

It was seen that 34.5% of the physicians covered by the study had never worked at the primary health care services while 53.4% were still in the most active first decade of their professions. Other characteristics of the physicians’ professional lives have been offered in Table 2.

Table 2. Physician’s professional characteristics

 

n

%

Term of employment as general practitioner

 

 

       No 

309

34.5

1 year and ↓

207

23.2

1-2 year

208

23.3

2  year and ↑

170

19.0

How long have you been working as a physician?

 

 

First year

94

10.5

1-10 year

477

53.4

11-20 year

185

20.7

Mean hours of work per day

 

 

8 hour and ↓

339

37.9

8-12 hour

397

44.4

12 hour and ↑

158

17.7

Mean number of on call shifts per month

 

 

No 

391

43.7

1-5 days 

102

11.4

6-10 days

303

33.9

11 days and ↑

98

11.0

For how many years have you been working on call?

 

 

No 

391

43.7

2  year and ↓

202

22.6

3 year and ↑

301

33.7

Total 

894

100.0

 

The mean scores of emotional exhaustion (EE), depersonalization (D), and personal achievement (PA) of the participants covered by the study were 16.45±7.80 (min=0.00-max=36.00), 6.28±3.93 (min=0.00-max=19.00), and 20.36±4.63 (min=0.00-max=32), respectively. The physicians’ socio-demographic characteristics and the mean score for the sub-dimensions of the Maslach Burnout Inventory are shown in Table 3.

 

Table 3.The relationship between the socio-demographic characteristics and the mean score for the sub-dimensions of the Maslach Burnout Inventory

 

Emotional Exhaustion

Depersonalization

 Personal Success

 

MBI mean±SD(min-max)

 

University

16.45±7.80 (0-36)

6.28±3.93 (0-19) 

20.36±4.63(0-32)

Selçuk University

16.01±7.57

6.07±3.92

20.81±4.35

Necmettin Erbakan University 

16.72±7.92

t=-1.313 p=0.190

6.40±3.94

t=-1.235 p=0.217

20.09±4.77

t=2.233 p=0.026

Department

 

 

 

Basic medical sciences

9.82±5.67

3.15±2.58

21.45±4.97

Internal

16.94±7.47

6.53±3.76

19.85±4.38

Surgical

17.83±7.89

F=45.049 p<0.001

6.89±4.11

F=38.586 p<0.001

20.86±4.82

F=7.609 p=0.001

Academic title

 

 

 

Professors

10.94±7.08

3.51±2.84

23.87±4.22

Associate  professor

12.71±6.76

4.50±2.97

23.71±3.55

Assistant professor

13.61±6.35

4.95±2.84

22.17±3.69

Lecturers+ assistant

14.60±7.03

5.22±3.27

20.50±4.29

Research  assistants

19.02±7.34

F=45.487 p<0.001

7.54±4.00

F=43.371 p<0.001

18.70±4.23

F=60.502 p<0.001

Administrative tasks

 

 

 

 

No

17.03±7.70

6.55±3.92

20.04±4.61

 

Yes 

10.83±6.41

t=7.088 p<0.001

3.63±2.96

t=8.254 p<0.001

23.44±3.65

t=-7.863 p<0.001

 

Gender 

 

 

 

 

Female 

16.47±7.18

6.01±3.72

19.72±4.58

 

Male

16.44±8.16

t=0.061 p=0.951

6.45±4.05

t=-1.637 p=0.102

20.75±4.62

t=-3.244  p=0.001

 

Age

 

 

 

 

29  and ↓

18.91±7.23

7.64±3.93

18.51±4.14

 

30-39 

16.55±7.56

6.27±3.68

20.43±4.45

 

40-49 

13.50±7.01

4.59±3.27

23.02±3.66

 

50 and ↑

10.25±7.13

F=43.087 p<0.001

3.15±2.74

F=48.827 p<0.001

23.89±4.49

F=63.078 p<0.001

 

Marial Status 

 

 

 

 

Married 

15.90±7.92

6.00±3.92

20.85±4.69

 

Not married

17.82±7.32

t=-3.342 p=0.001

6.99±3.88

t=-3.431 p=0.001

19.15±4.25

t=5.032 p<0.001

 

BMI

 

 

 

Weak                                                 

16.87±6.70

6.62±3.98

17.87±5.00

 

Normal 

16.84±7.58

6.36±3.78

19.73±4.50

 

Overweight

16.23±8.10

6.28±4.12

21.02±4.66

 

Obese

15.29±7.70

F=1.046 p=0.372

5.79±3.86

F=0.497 p=0.684

21.22±4.50

F=7.799 p<0.001

 

Husband or wife profession

 

 

 

 

Worked

16.38±7.80

6.23±3.93

20.76±4.65

 

Non-worked

12.80±8.06

t=3.929 p<0.001

4.50±3.54

t=3.810 p<0.001

21.44±4.92

t=-1.255 p=0.210

 

Number of children

 

 

 

 

No 

17.86±7.31

7.18±3.98

19.01±4.35

 

      Yes

15.16±8.02

t=5.264 p<0.001

5.46±3.70

t=6.667 p<0.001

21.60±4.54

t=-8.700 p<0.001

 

House 

 

 

 

 

Rent

18.74±7.50

7.27±3.95

19.03±4.40

 

My own

13.47±7.36

5.00±3.54

22.31±4.28

 

Dad home

17.09±7.05

F=50.721 p<0.001

6.51±3.91

F=36.051 p<0.001

19.11±4.38

F=60.415 p<0.001

 

Have a car

 

 

 

 

No

17.26±7.37

6.68±3.86

18.99±4.29

 

Yes

16.28±7.88

t=1.432 p=0.152

6.19±3.94

t=1.425 p=0.155

20.65±4.65

t=-4.131 p<0.001

 

Have a disesase

 

 

 

 

      No

16.32±7.65

6.29±3.89

20.30±4.61

 

Physical

15.28±7.92

5.29±3.91

21.34±4.50

 

Mental

23.93±7.32

F=15.515 p<0.001

9.23±3.71

F=11.897 p<0.001

18.56±4.98

F=4.568 p=0.011

 

Impaired assets someone in the family

 

 

 

 

No

16.45±7.82

6.27±3.94

20.27±4.63

 

Yes

16.53±7.45

t=-0.065 p=0.948

6.40±3.73

t=-0.213 p=0.832

22.00±4.27

t=-2.494 p=0.013

 

Who do you live with at home

 

 

 

 

Alone

18.96±7.85

7.15±3.82

19.30±4.46

 

Mom+dad

17.13±6.72

7.01±4.27

18.89±4.23

 

Wife+children+wife+children

15.76±7.82

5.96±3.87

20.78±4.77

 

Mom+dad+wife+children

16.62±8.82

6.00±4.06

21.83±3.61

 

Friend

17.15±7.06

F=4.566 p=0.001

6.89±3.56

F=3.644 p=0.006

19.13±3.52

F=7.585 p=0.001

 

 

It was seen that as the term of employment increases personal achievement statistically rises and emotional exhaustion and depersonalization decreases in a statistically significant rate. The results of the study also reveal that as daily work hours and on call hours increase emotional exhaustion and depersonalization rises in a statistically significant rate, while personal achievement significantly decreases. The relationship between the professional characteristics of the participants and the mean score for the sub-dimensions of the Maslach Burnout Inventory is shown in Table 4. 

 

Table 4.  The relationship between the professional characteristics of the participants and the mean score for the sub-dimensions of the Maslach Burnout Inventory

 

Emotional Exhaustion

Depersonalization

Personal Success

Term of employment as general practitioner

 

 

 

       No

14.65±7.56

5.56±3.85

20.86±4.32

       Yes

17.41±7.76

t=-5.090 p<0.001

6.66±3.93

t=-4.002 p<0.001

20.10±4.77

t=2.410 p=0.016

How long have you been as a physician?

 

 

 

       0-10 years

18.46±7.31

7.32±3.93

18.89±4.14

       11-20 years

14.09±7.21

5.04±3.25

22.28±4.20

 21 years and↑

11.34±7.33

F=65.276 p<0.001

3.65±2.94

F=68.592 p<0.001

23.87±4.26

F=103.784 p<0.001

Mean hours of work per day 

 

 

 

8 hours and ↓

13.29±7.06

4.78±3.29

21.10±4.79

8 hours and↑

18.39±7.60

t=-9.989 p<0.001

7.20±4.01

t=-9.776 p<0.001

19.91±4.47

t=3.757 p<0.001

Mean number of call shifts per month 

 

 

 

No

12.41±6.62

4.39±3.06

21.81±4.48

1-5 days 

15.37±6.55

5.71±3.46

19.75±4.61

6 days and↑

20.68±6.92

F=149.810 p<0.001

8.26±3.86

F=123.462 p<0.001

19.10±4.38

F=37.650 p<0.001

For how many years have you been working on call?

 

 

 

No

12.41±6.62

4.39±3.06

21.81±4.48

2 year and ↓

19.22±7.00

7.82±3.94

18.93±4.15

3 year and ↑

19.86±7.28

F=118.677 p<0.001

7.70±3.90

F=97.008 p<0.001

19.44±4.61

F=37.574 p<0.001

 

The correlation between the quantitative parameters and the sub-dimensions of MBI is shown in Table 5.

 

Table 5.  The correlation between the quantitative parameters and the sub-dimensions of MBI

 

  Emotional Exhaustion

       Depersonalization

     Personal Success

 

r

p

r

p

r

p

Age (year)

-0.360**

<0.001

    -0.379**

<0.001

  0.423**

<0.001

BMI

  -0.036

  0.288

    -0.015

   0.644

  0.157**

<0.001

Occupation period (year)

-0.361**

<0.001

    -0.381**

<0.001

  0.421**

<0.001

Mean hours of work per day

0.300**

<0.001

     0.307**

<0.001

 -0.125**

<0.001

Mean hours of work month(day)

0.490**

<0.001

     0.452**

<0.001

 -0.244**

<0.001

Mean hours of work year

0.141**

<0.001

     0.108**

 0.001

    0.034

 0.305

**: Significance level 0.01.

 

Discussion

Our aim in this study was to evaluate the levels of burnout and explore the related factors affecting burnout in academics and research assistants working at Selçuk University Medical Faculty and Necmettin Erbakan University Meram Medical Faculty.

While the mean score for EE and D of academics and research assistant covered by the study working at basic medical sciences was significantly lower than those of physicians working at internal medical sciences and surgical medical sciences; their PA mean scores were higher than those of physicians working at internal medical sciences and surgical medical sciences although it was only significantly higher than those of internal medical sciences. The mean PA score of those working at the surgical medical sciences departments was found to be significantly higher than that of those working at internal medical sciences. Studies conducted on this subject also found similar results (1,5,6).It was stated that the reason for this might have been related to the fact that non-surgical branches were selected more by women and, as studies have shown, women experienced emotional exhaustion more than men. Another reason for this might have also been related to the fact that research assistants working at non-surgical branches were more reluctant in selecting their specialties than those at surgical branches, wanted to specialize in other departments, and the presence of negative ideas about the respectability of their branches within the physician population. Burnout is more frequently seen in professions that necessitate face-to-face contact with other people. The reason why the results of our study revealed lower mean EE and D scores for physicians working at basic medical sciences than those of physicians working at surgical and internal sciences suggests that the former group are less engaged in face to face contact with other people. Further, mean PA scores of physicians at basic medical sciences can be found to be higher than those of physicians working at surgical and internal sciences due to the fact that they are able to allocate more time to scientific studies as there are no clinical overcrowding problems and patient factors for them. 

On one hand, when the physicians covered by the study were evaluated according to their academic titles, it was found that research assistants had statistically significant higher mean EE and D scores than all other physicians with academic titles. On the other hand, when physicians with titles such as professor, associate professor, assistant professor, lecturer, and specialist were evaluated, it was seen that as the academic title went up, the mean EE and D scores significantly went down. These results were similar to the results of our own study (3,7-9) and we believe that this situation is related to the fact that physicians with resident MD and assistant professor titles worked on contracts while those with professor and associate professor titles had the security and status due to their permanent tenure. We also believe that the group composed of those with assistant professor and lecturer titles is driven to burnout because they experience challenges in fulfilling the requirements to become associate professors or because of promotion problems (lack of open positions etc.) even if they are competent. The results of our study suggest that the reason why as one’s academic title goes up his/her level of burnout goes down can be related to the fact that both professional and social status and respectability go up as knowledge and skills blended with experience increase.

While there was no significant relationship between women and men gender variables pertaining to the mean emotional exhaustion and depersonalization scores in our study, men’s mean personal achievement scores were found to be significantly higher than those of women. Many studies (7,8,10-13) found no statistically significant differences between gender and the mean scores for sub-dimensions of burnout. Studies that have found higher levels of emotional exhaustion in women stated that this was related to women’s double roles burdening them both with professional responsibilities and household chores and child care responsibilities as directed by their social roles. The reason why men had higher mean personal achievement scores than women, as the results of our study also indicate, might be linked to the differences in men and women with regards to the significance they assign to different aspects of the job. We believe that women assign more significance to the interpersonal relationships of the job while men find the consequences of the job more important.

When the participants of the study were grouped according to marital status it was seen that married physicians had significantly lower mean EE and D scores than those of single physicians, while their mean PA scores were significantly higher. Many studies conducted on the subject found no statistically significant differences between marital status variables and the mean scores for the sub-dimensions of burnout (6,7,8,11-15). Some studies found that married ones had statistically significant lower mean EE and D scores than singles while their mean PA scores were found statistically higher, in line with the results of our study (9,16,17). This situation was explained by Maslach and Jackson as could be related to married people’s having a more developed skill for problem solving as a result of their being more experienced in interpersonal relationships in coping with crises (18).Moreover, we believe that this can be caused by the fact that families offer a social support environment to the individual to deal with professional stress.

When the term of employment was taken into consideration, it was found that those who had been working for 21 or more years had significantly lower mean emotional exhaustion and depersonalization scores than those who had been working for 11-20 years and 0-10 years, while their mean personal achievement scores were significantly higher than those who had been working for 11-20 years and 0-10 years. Some studies found no statistically significant differences between the term of employment and the mean scores for the sub-dimensions of burnout (11,13).We believe that the reason why the burnout level decreases as the term of employment increases is related to the fact that physicians who recently started working have to attend to a lot more patients than experienced physicians, they have to be engaged in routine tasks more often, they are controlled more frequently, and they lack some status features which would bring about satisfaction for them. Another reason for this, we believe, is the difference between the new and older physicians about the values and general life expectations regarding the job, hence the difference in the significance attached to the job. Indeed, many studies conducted on the subject, support the results of our study (9,12,15,17).

While the physicians participating in the study who were not satisfied with their income had significantly higher mean emotional exhaustion and depersonalization scores than those who were satisfied with their income, their mean personal achievement scores were significantly higher than the latter. Some studies, however, did not find statistically significant differences between the level of income and burnout (11,15). We believe that this result is caused by the fact that thinking the time, labor, and energy spent for the profession was not met by adequate income and it accordingly became a factor that increased the level of burnout.

When the participants were evaluated with regards to on call duties it was seen that as the number of on call duties per month increased, physicians’ mean emotional exhaustion and depersonalization scores also increased; but their mean personal achievement scores significantly decreased. We suggest that the reason for this is both related to the prolongation in daily work hours and to the decrease in resting periods one can have and also to the lack of sleep and the disruption seen in the physician’s biological clock as a result of irregular working hours. Indeed, many studies support this outcome (8,11,12,18).

Conclusion

The results of our study suggest that if working hours are adequately planned, if on call schedules are structured so as to prevent individuals’ exhaustion, if individuals’ work loads are alleviated, if activities that will enable individuals to have more communication with their colleagues are offered, if the physical conditions of the work spaces are organized so as to meet the needs of individuals, and if the salaries of the employees that they receive in return for the service they provide are increased in line with the economic conditions of the day in a satisfactory way, burnout levels will decrease. Future studies may be included 
working conditions and influencing diffrent factors in other countries. 

 

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How to cite / Atıf için: Armutlukuyu M, Marakoğlu K, Çetin Kargın N. The Evaluation of Burnout Levels of the Academic Staff and Research Assistants Working at Medical Faculties. Euras J Fam Med 2019;8(1):10-18. doi:10.33880/ejfm.2019080102


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