Open Access

Occupational stress, work-home interference and burnout among Belgian veterinary practitioners

Irish Veterinary JournalThe official journal of Veterinary Ireland, the representative body for the veterinary profession in Ireland200861:233

https://doi.org/10.1186/2046-0481-61-4-233

Published: 1 April 2008

Abstract

There have been few formal studies on stress in veterinary surgeons and, in the rare studies available, stress is not examined jointly through the levels of job strain and job engagement, the sources of stress in the issue of work environment and the work-home interference. The authors' goal in this study was to analyse job engagement, job strain, burnout, work-home interference and job stress factors among 216 Belgian veterinary surgeons. Rural practice was compared to small animal and mixed activity. The mean job strain and job engagement level in veterinary surgeons was not higher than what we found in other working populations. However, 15.6% of the group were found to be suffering from high burnout. Rural practitioners had a lower level of job engagement than small animal veterinary surgeons. These small animal practitioners had a lower level of job strain than the mixed practitioners. The level of burnout did not differ significantly across the three types of activity. In comparison to other Belgian and Dutch workers, veterinary surgeons perceived more negative work-home interference. Bovine and mixed practitioners were the most concerned with this problem. The two most important sources of stress reported by bovine practitioners were relations to farmers and working time management (including emergencies and availability).

Keywords

burnout job engagement job stress veterinary surgeons work-home interference

Introduction

Stress in veterinary surgeons

Numerous studies have been conducted about stress and burnout in the healthcare professionals including doctors [43], nurses [10, 35, 13] and dentists [29]. However, there are few formal studies about stress in veterinary surgeons. Is it linked to a lack of interest in the subject or to the fact that veterinary surgeons are not concerned with problems associated with stress? According to the Belgian Veterinary Surgeon Association, and taking experiences gathered from veterinary surgeons into account, the first proposition seems to best fit the situation.

Before looking at the literature about occupational stress and work-home interference in veterinary surgeons, some basic conceptual clarifications are needed. When measuring occupational stress, one must be careful not to confound the effects of stress or outcome variables and the sources of stress or the antecedent variables. To date, the literature suggests that there is no clear evidence of a common pattern of physiological effects of stress for all the sources of stress [19]. For that reason, the authors' approach to stress refers to a more transactional model [24, 22] based on cognitive theories and coping that emphasise the interaction between environmental demands and individual responses [30]. We will define stress as "a process by which job demands are appraised by the worker as exceeding their own resources which results in undesirable health consequences" [8]. According to the literature, the effects of stress can be mitigated by having high control [18], high satisfaction [31] and high work commitment [27] in a job. The study of stress at work should thus examine the effects of stress (outcome variables, e.g., job strain, burnout, job engagement) together with the sources of stress and situational factors which may decrease stress levels by improving an individual's ability to cope with a stressful situation [30]. 'Work-home interference' (WHI) is defined in "a process in which a worker's functioning (behaviour) in one domain (e.g., home) is influenced by (negative or positive) load reactions that have built up in the other domain (e.g., work)" [14].

Results from previous empirical research give support to some sources of stress inherent to the situation of veterinary surgeons. Long working hours, for example, are often cited in the literature. Excessive workload can represent a real threat to practitioners' health and safety, even more so than a feeling of too much job involvement or a lack of job satisfaction [16, 40, 41, 32, 34]. Ethical problems [37, 39] and euthanasia are also job stress factors. Veterinary surgeons facing the act of euthanasia involving pets they have grown fond of may suffer from emotional conflict and ambivalent feelings [2]. Relationships with clients also represent an important source of stress. A small percentage of clients complain, and new practitioners must be highly skilled in communicating with people to maintain proper relationships with clients [4, 36, 20]. Moreover, occupational risks [41] are high in this profession, especially in relation to injuries inflicted by animals. Some risks are also due to car accidents during work. However, it is hard to get reliable data about this, since veterinary surgeons can sometimes deal with injuries by themselves [21, 33, 11]. Another professional risk concerns diseases related to animal care (allergies, zoonoses, illnesses due to radiation, drugs and pesticides, etc.) or musculoskeletal disorders due to uncomfortable working positions, above all in rural practice [17, 34]. A survey published in the Australian Veterinary Journal [1] shows that the main stress factors are: relationships with angry or sad clients, the recovery of amounts of money not paid by clients, euthanasia and working conditions, especially working time problems. According to Gardner and Hini [12], the main stressors are gender related. Women are more likely to report job stressors in relation with job demands, interpersonal interactions with employers, peers and clients or the need to keep up technical skills and knowledge. Job stressors for men are more particularly related to income, finances and career prospects. Together, all these factors can lead to impaired health and performance.

There have been, however, few formal studies on job strain and burnout in veterinary surgeons and the rare studies available present contradictory results. Most of the literature reports moderate stress levels among respondents [1, 12]. In one study, Rejula et al. [34] reported that 73% of the veterinary surgeons perceived feeling 'rather' or 'very stressed'. Results are more consistent for burnout. Rejula et al. [34] reported that only 1.7% of veterinary surgeons demonstrated severe symptoms of burnout. Elkins and Elkins [9] presented similar results. In the literature, stress is also often examined through mental and physical outcomes. Suicide among veterinary surgeons [17, 3], for example, has been used as an indicator of the high stress level in this occupation. Substance abuse is also frequently observed in veterinary surgeons [17, 34]. The studies reported in the literature present the limitation of using non standardised measures of wellbeing outcomes. It is then difficult to compare veterinary surgeons to other occupations.

Concerning gender differences, Gardner and Hini [12] reported that stress affects mostly young women in small animal practice (mainly because of the relationships with clients in clinical practice). Rejula et al. [34] demonstrated that 71% of woman and 77% of men reported being 'rather stressed' or 'very stressed', mainly (65%) because of: being on call, administrative duties, insecurity of work, haste in work, heavy workload and unclear job description. Emotional exhaustion was most common among small animals and equine practitioners.

Stress in Belgian veterinary surgeons

In Belgium, more and more veterinary surgeons are talking about high levels of stress and suicide in their profession. However, the authors have found no scientific research about wellbeing in Belgian veterinary surgeons. Over the last two decades, Belgian bovine practitioners have encountered numerous changes. The profession is an aging one and Belgium will soon face a lack of young bovine veterinary surgeons. Furthermore, a decreasing number of farms has left a large part of the rural economic system under threat. There are also obvious changes within bovine practice itself. These include the increasing responsibility of veterinary surgeons and an increased workload. Aside from the administrative workload associated with bovine practice, the clinical work is also very physical, mainly due to the high number of Caesarian sections performed in the Belgian Blue (BB) breed. Each year, approximately 400,000 BB cattle calve in Belgium, of which almost 99% are by Caesarian section (F. Rollin, personal communication). This figure does not take into account dystocia in other bovine breeds. In addition, these Caesarian sections are not equally distributed over the course of the year but are concentrated mostly between January and May. In Belgium, around 1,400 veterinary surgeons are involved in rural practice. It is thought that some complete more than 1,000 Caesarian sections a year, on average; the highest number reported is 27 Caesarian sections in 24 hours (F. Rollin, personal communication). The authors believe that this situation is specific to Belgium, as they have not found a similar situation in other European countries.

In the current study, the authors intend firstly to measure levels of job strain, job engagement, burnout and work-home interference in veterinary surgeons using self-reports and questionnaires, and secondly to further identify stressors and work characteristics to propose strategies for alleviating stress. According to the Belgian context described above, bovine practice is compared to small animal and mixed activity as far as outcome variables are concerned. Gender and age categories will also be taken into consideration. A comparative perspective will be used in this study through normative scores for job strain, job engagement and burnout and comparison with other samples of workers for work-home interference. The analysis of the job stress factors will focus on bovine practice.

Materials and methods

Job strain, job engagement, burnout and work-home interference measures are considered in this study. Firstly, job engagement and job strain are measured using the 'Positive and Negative Occupational Stress Inventory' (PNOSI, 19 items; [15]). Eight items assessed job engagement (e.g., "I feel stimulated by my work", "My work gives me a lot of satisfaction") and 11 items assessed job strain (e.g., "I feel overload by what I have to do", "I feel nervous when at work") on a four-level scale from one ("never" or "rarely") to four ("almost always" or "always"). The reliability coefficients for our sample are 0.83 and 0.84, respectively. Normative scores are available. A moderate level of job strain/job engagement can vary from 40 to 60, with a mean equal to 50. Values higher than 60 characterise severe job strain. Values lower than 40 characterise very low job engagement.

Secondly, the subscale of emotional exhaustion provides a measure of burnout [26]. Burnout is a concept that consists of three dimensions: emotional exhaustion, depersonalisation and lack of personal accomplishment [25]. Practically, the use of the subscale of emotional exhaustion alone (nine items) appears to be a valid measure of professional burnout [7, 23]. The subject is asked to answer each item on a scale from one ("never") to seven ("every day"). The level of burnout can vary between nine and 63 with a low level when the score varies from nine to 17, a moderate level from 18 to 29 and values higher than 29 characterising severe burnout. The reliability coefficient in this sample is 0.89.

Finally, the 'Survey Work-home Interaction Nijmegen' (SWING, 27 items) is used to measure four types of work-home interaction: (1) negative WHI, referring to a situation in which negative load effects built up at work hampering functioning at home (nine items); (2) negative HWI, referring to negative load effects developed in the home domain that impede functioning at work (six items); (3) positive WHI, defined as positive load effects built up at work that facilitate functioning at home (six items); and, (4) positive HWI, occurring when positive load effects developed at home facilitate functioning at work (six items). The reliability coefficients in our sample are 0.88, 0.79, 0.80 and 0.84, respectively. There are four response categories: "never" (0), "sometimes" (1), "often" (2) and "always" (3). A scale mean for each of the four WHI-scales is calculated. As far as job stress factors are concerned, the Veterinary Stress Inventory (VSI, 45 items) (Biron, O. [2006]. Stress in veterinary surgeons. Unpublished dissertation, University of Liège, Belgium) has been developed for the purpose of this study. Items were created on the basis of results from preliminary interviews with veterinary surgeons and a review of the literature, especially the questionnaire developed by Cooper et al. [6], to measure stressful job situations among general practitioners. Examples include: "phone calls during the night and early in the morning", "administrative formalities because of the new policy about medicines" or "euthanasia requests for non-suffering patients". The full list of items is available from the first author. The response format is a four-point Likert scale from "never a cause of stress" to "always a cause of stress". This quantitative methodology was completed by an open question in which participants were asked to freely describe a maximum of three problematic events that they encounter in their daily work activities.

In collaboration with the Belgian professional union of veterinary surgeons, these questionnaires were sent to the 2,700 French-speaking veterinary surgeons through the Belgian journal 'Veterinaria'. This procedure did not give the opportunity for a reminder.

Statistical analysis

In the first instance, analyses of variance were performed to test for differences in weekly working hours according to the type of activity and age categories. A t-test was used to compare the difference in weekly working hours for men and women.

Descriptive statistics including means and standard deviations are presented for job strain, job engagement, burnout and work-home interference. According to standardised scores, the three first outcome variables are categorised in small, medium or high level of score. Comparisons of these three variables, according to the type of activity, gender and age categories, were performed using multivariate analyses of variance (MANOVA). All paired comparisons were evaluated using the Tukey post-hoc test.

As regards work-home interference, paired sample t-tests were used to compare the differences between subscales of work-home interference (WHI). In order to account for multiple comparisons, the authors used the Bonferroni correction [28], which sets the alpha value for the entire set of n comparisons equal to α by taking the alpha value for each comparison equal to α/n i.e., in this case P < .05/6 = 0.008. A t-test was also used to compare Belgian veterinary surgeons to either a Belgian/Luxembourg or a Dutch worker sample (n = 254 including a large variety of occupations from psychologists, shopkeepers to hotel and bank employees and n = 1,857 including employees in the electronic industry, employees from the Dutch Postal Office, employees from a financial consultancy firm, employees from a Dutch taxing company and teachers, respectively). Comparisons of the four subscales of work-home interference according to the type of activity, gender and age categories were also performed using MANOVA. In MANOVA, the underlying mathematical foundations depend upon certain assumptions: homogeneity of variances, equality of covariance matrices and normality. These assumptions have been checked with, respectively, Levene's test, Box's test and Shapiro-Wilk's test. All Levene's tests are non significant except for the negative home-work interference subscale when comparing the type of activity. As all Box's tests were non significant, the observed covariance matrices of the dependent variables are equal across groups. Concerning Shapiro-Wilk's tests, the results are significant except for the negative work-home interference subscale. However, some authors suggest that departures from normality have only a slight effect on the Type I error rate [42].

As regards the Veterinary Stress Inventory, factor analyses are not relevant due to the small sample size. Then, descriptive statistics for the 10 items with the highest means within each type of activity will be presented. Item analyses using multivariate technique were performed for the comparisons of the 10 items according to the type of activity. For all statistical analyses in this paper, significance was assumed for a P value less than 0.05.

The problematic situations were classified in a taxonomy created in collaboration with the research pool Preventagri [5] and a first intuitive scrolling through the data. Using this method, situations were sorted out and given absolute and relative statistical frequencies.

Results

Two hundred and forty-three questionnaires were returned and included in the analyses. The total percentage return rate was 9%. As regards main activity, 25.9% of the sample were rural practitioners. Almost half of the sample consisted of small animal veterinary surgeons and 17.3% had a mixed activity. The remaining participants were involved in specific activities such as teaching, scientific research or the civil services, thus the final sample consisted of 216 practitioners involved either in rural, small animal or mixed activity practice (Table 1). Most of them were male, whilst 24.5% were female. Most women were involved in small animal practice while most men were bovine or mixed practitioners (χ2[2 df] = 52.00; P < 0.001). Sixty-seven percent were aged between 36 and 55, while 18.5% were aged between 25 and 35. The veterinary surgeons older than 56 years represented 13.9% of the sample. One half of the respondents worked alone as freelance practitioners, whereas the other half worked in association with a practice. The majority were married or had at least one child (85.2%, n = 184).
Table 1

The spectrum of activity, gender, age, work and maritial status and number of children of the sample population (n = 216)

  

n

%

Main activity

Rural practitioners

63

25.9

 

Small animal practitioners

111

45.7

 

Mixed practitioners

42

17.3

Gender

Male

163

75.5

 

Female

53

24.5

Age

25-35

40

18.5

 

36-45

77

35.6

 

46-55

69

31.9

 

More than 56 years old

30

13.9

Work status

Freelance

116

53.7

 

In association with practice

100

46.3

Marital status

Single

21

9.7

 

Married

174

80.6

 

Divorced

17

7.9

 

Widowed

3

1.4

 

Unknown

1

0.5

Number of children

0

28

13

 

1

27

12.5

 

2

83

38.4

 

3 or more

74

34.3

 

Unknown

4

1.9

An important variable was long working hours. The mean working hours for respondents were 54.27 ± 18.75 hours, which is a similar figure to that reported by Phillips et al. [32]. One veterinary surgeon out of four worked more than 60 hours a week. One veterinary surgeon out of two worked between 40 and 60 hours a week. Bovine and mixed practitioners (63.13 ± 18.39 and 59.70 ± 17.85 respectively) worked more hours a week than small animal practitioners (48.03 ± 16.96), F(2, 192) = 15.16, P < 0.001. In the same way, men (58.21 ± 17.53) worked more hours a week than women (42.53 ± 17.45), t(193) = -5.42, P < 0.001. The age variable was not significant with respect to working hours, F(3, 191) = 0.88, P = 0.45.

The mean job engagement level in veterinary surgeons was 54.06 ± 8.89. This result corresponds to 95.4% of the current sample that reported a normal or high amount of job engagement. Only 3.7% of veterinary surgeons did not feel stimulated at work. The mean job strain level in veterinary surgeons was 52.19 ± 8.15, which is similar to other working populations. These results correspond to 14.8% of the current sample that reported a high level of job strain. Moreover, 14.4% of the group was classed as suffering from high burnout (Table 2).
Table 2

Mean (standard deviation) job strain, job engagement and burnout levels in veterinary surgeons (n = 216) according to the type of activity, gender and age

    

Level of

Type of activity

Gender

Age categories

 

Min

Max

Mean(SD)

Low%(n)

Med.%(n)

High%(n

Bovine

Small animals

Mixed

Female

Male

25-35

36-45

46-55

56+

Job engagement

31.35

74.70

54.06

(8.89)

3.7

(8)

71.3

(154)

24.1

(52)

52.09*

(8.49)

55.66*

(8.95)

53.35

(8.91)

56.55*(8.06)

53.41*

(9.06)

53.63

(7.51)

55.59

(9.26)

53.97

(8.79)

51.74

(9.75)

Job strain

28.04

75.12

52.19

(8.15)

5.6

(12)

79.2

(171)

14.8

(32)

53.14

(8.20)

50.64*

(8.17)

54.24*(6.97)

49.69*(8.36)

52.84*

(7.84)

52.76

(6.62)

52.50

(8.23)

52.03

(7.26)

50.18

(10.83)

Burnout

9.00

63.00

22.22

(9.47)

31

(67)

51.9

(112)

14.4

(31)

24.14

(10.00)

20.93

(9.20)

22.79*(9.09)

19.91*(8.49)

22.96*

(9.68)

22.49

(7.38)

22.08

(9.52)

22.16

(9.55)

22.37

(11.83)

NB * represents significant results (p < .05) for post-hoc tests.

The multivariate analysis of variance of these three wellbeing variables performed to compare the type of activity was significant; Wilks' lambda = 0.93, F(6, 410) = 2.41, P = 0.03. More specifically, job engagement and job strain showed significant results; F(2, 207) = 3.38, P = 0.04 and F(2, 207) = 3.84, P = 0.02, respectively. The burnout level did not change across the three types of activity; F(2, 207) = 2.34, P = 0.10. Tukey HSD post-hoc tests showed that bovine practitioners had a lower level of job engagement than small animal veterinary surgeons (P = 0.04), who, in turn, had a lower level of job strain than mixed practitioners (P = 0.04) (Table 2). The multivariate analysis of variance of these three wellbeing variables, that compared men and women, was significant (Wilks' lambda = 0.96, F(3, 206) = 2.78, P = 0.04). Job engagement was higher among women (F(1, 208) = 4.85, P = 0.03), while men perceived a higher level of job strain and burnout (F(1, 208) = 6.03, P = 0.01 and F(1, 208) = 4.03, P = 0.05, respectively). Finally, the multivariate analysis of variance of the three wellbeing variables performed to compare the age categories was not significant (Wilks' lambda = 0.95, F(9, 496.63) = 1.18, P = 0.30). Results for work-home interference are presented in Table 3. Paired sample t-tests showed that each difference between subscales of work-home interference (WHI) were significant (P < 0.001), except between positive work-home interference and positive home-work interference (t(194) = -0.97, P = 0.33). If one considers that WHI subscales can vary between zero and three, the veterinary surgeons sample did not perceive high work-home interference. However, in comparison to other Belgian and Dutch workers samples, they did perceive significantly more negative work-home interference; t(213) = 16.07, P < 0.001 and t(213) = 15.54, P = 0.00, respectively. In comparison to the Belgian sample, veterinary surgeons reported more negative home-work interference (t(213) = 3.77, P < 0.001) and more positive home-work interference (t(196) = 3.33, P < 0.001). The result for positive work-home interference was not significantly different (t(207) = 0.51, P = 0.61). In comparison to the Dutch sample, veterinary surgeons reported less positive work-home interference (t(207) = 8.3, P < 0.001). Results for negative home-work interference and positive home-work interference were not significantly different; t(213) = -0.76, P = 0.45 and t(196) = 1.17, P = 0.24, respectively.
Table 3

Mean (standard deviation) work-home interference in veterinary surgeons (n = 216) according to the type of activity, gender and age

      

Type of activity

Gender

Age categories

 

Belgian veterinary

surgeons

Belg/Lux

sample

Dutch

sample

Bovine

Small

animal

Mixed

Female

Male

25-35

36-45

46-55

56+

 

Min

Max

Mean

(SD)

           

NegWHI

0.11

3.00

1.45*

(0.55)

0.84*

(0.47)

0.86*

(0.48)

1.62

(0.48)

1.27*

(0.54)

1.66

(0.50)

1.23*

(0.55)

1.52*

(0.53)

1.38

(0.51)

1.51

(0.58)

1.45

(0.54)

1.35

(0.51)

NegHWI

0.00

2.00

0.45*

(0.42)

0.34*

(0.36)

0.47

(0.41)

0.45

(0.42)

0.42

(0.37)

0.54

(0.52)

0.43

(0.41)

0.45

(0.42)

0.44

(0.44)

0.56

(0.48)

0.38

(0.33)

0.35

(0.36)

PosWHI

0.00

3.00

1.17*

(0.59)

1.15

(0.60)

0.83*

(0.57)

1.16

(0.66)

1.18

(0.59)

1.15

(0.50)

1.17

(0.56)

1.17

(0.61)

1.16

(0.46)

1.17

(0.63)

1.03*

(0.54)

1.47*

(0.67)

PosHWI

0.00

3.00

1.21*

(0.72)

1.04*

(0.88)

1.15

(0.74)

1.19

(0.74)

1.23

(0.71)

1.19

(0.73)

1.38*

(0.75)

1.15*

(0.71)

1.41*

(0.77)

1.31*

(0.71)

0.85*

(0.52)

1.50*

(0.78)

NB: NegWHI = Negative work-home interference; NegHWI = Negative home-work interference; PosWHI = Positive work-home interference; PosHWI = Positive home-work interference. * represents significant results (p < .05) for post-hoc tests.

The multivariate analysis of variance of the four WHI subscales performed to compare the type of activity was significant (Wilks' lambda = 0.88, F(8, 374) = 3.19, P = 0.002). More particularly, negative work-home interference showed a significant result (F(2, 190) = 11.89, P < 0.001) while the ther subscales were not significant; F(2, 190) = 1.20, P = 0.30, F(2, 190) = 0.06, P = 0.95, F(2, 190) = 0.04, P = 0.96, respectively (Table 3). Tukey HSD post-hoc tests show that, compared to small animal practitioners, bovine and mixed practitioners are the most concerned with this negative work-home interference (P < 0.001 and P = 0.001, respectively). The multivariate analysis of variance of the four WHI subscales performed to compare men and women was significant; Wilks' lambda = 0.92, F(4, 188) = 4.02, P = 0.004. Men perceived more negative work-home interference (F(1,191) = 10.41, P = 0.001), while women perceived more positive home-work interference (F(1,191) = 3.74, P = 0.05). Finally, the multivariate analysis of variance of the four WHI subscales performed to compare age categories was also significant (Wilks' lambda = 0.82, F(12, 492.4) = 3.11, P < 0.001). The negative home-work interference subscale was significant (F(3, 189) = 2.82, P = 0.04). The two positive subscales were also significant (F(3, 189) = 3.61, P = 0.01 for positive work-home interference and F(3, 189) = 8.68, P < 0.001 for positive home-work interference). Tukey HSD post-hoc tests showed that Belgian veterinary surgeons aged between 46 and 55 felt less positive interference from work to home and home to work.

The open question allowed 575 problem-situations to be collected: 175 amongst bovine practitioners, 289 amongst small animal practitioners and 111 amongst mixed practitioners. For bovine practitioners, the three main sources of stress reported were: (1) client relations (farmers in this case) (30%, n = 52) mainly through late or unpaid invoices and lack of respect; (2) working time management (26%, n = 45), more specifically, simultaneous emergencies and on duty situations; and, (3) risks associated with this occupation (13%, n = 23), such as heavy working conditions and difficulties in diagnosis (Table 4). These three main categories of potential sources of stress were also relevant, in the same order, for small animal and mixed practitioners (1) 34.6%, n = 100; (2) 28%, n = 82; (3) 14.5%, n = 42 and (1) 35%; n = 39; (2) 32%, n = 35; (3) 8%; n = 9, respectively. There was no significant statistical difference in the three main sources of stress by activity status (χ2(4) = 3.15, P > 0.05). The problematic situations encountered by small animal practitioners were somewhat different when subcategories were considered. In the "client relations" category, the main problem was concerned with non payment (43%, n = 43). In the "time management" category, phone harassment during practice (22%, n = 18) was the most important source of stress.
Table 4

Problematic situations (total n = 175) encountered by bovine practitioners

Category

% (n)

Sub-category

% (n)

Client relations

30 (52)

Unpaid or late invoices

48 (25)

  

Lack of respect, careless, ungratefulness

21 (11)

  

Unspecified

13 (7)

  

Short deadline requirement

10 (5)

  

Constraint about optimal result

8 (4)

Time management

25.7 (45)

Simultaneous emergencies, during consulting hours

51 (23)

  

Continuous availability, night work, on duty situations

25 (11)

  

Unspecified

11 (5)

  

Irregular work throughout year

5 (2)

  

Fake emergencies

2 (1)

  

Phone harassment

2 (1)

  

Night calls

2 (1)

  

Shiftwork

2 (1)

Occupational risks

13 (23)

Heavy working conditions

39 (9)

  

Difficult diagnosis/treatment

35 (8)

  

Therapeutic failure

17 (4)

  

Disappointing financial incomes

9 (2)

Relations to co-workers

10.3 (18)

Unfair competition

45 (8)

  

Misunderstanding from administration/lawmakers

23 (4)

  

Unspecified

11 (2)

  

Conflicts between associates

11 (2)

  

Misunderstanding/management between co-workers

5 (1)

  

Food agency

5 (1)

Administrative workload

8 (14)

  

Quantitative workload

4 (7)

Lack of time for professional improvement

44 (3)

  

Unspecified

28 (2)

  

Replacement/work assistance

28 (2)

Responsibilities

3 (6)

Unsatisfied clients bringing the vet into action

50 (3)

  

Dual-responsibility: service and control

33 (2)

  

Unspecified

17 (1)

NB: 10 non relevant situations were not included in the analysis.

Results to the VSI confirmed this panel of results as emergency/working time management (six items out of 10 related to this topic) and client relations (three items out of 10 related to this topic) appear as the two most important sources of stress for rural veterinary surgeons but also for mixed practitioners. Table 5 also shows that small animal practitioners have to deal with different problems like ethical problems and difficulties in practice.
Table 5

Top 10 stressors (highest means) for each type of activity

 

Rank (Mean)

F (2, 188)

P

Post-hoc

 

Bovine Practice(1)

Small animal Practice (2)

Mixed Practice (3)

   

Administrative formalities because of new medicines policy

1 (3.22)

5 (2.66)

1 (3.15)

6.66

0.00

2 < 1 and 3

Impact of job constraints on family life

2 (2.94)

4 (2.72)

2 (2.97)

2.11

0.12

NA

Recovery of amounts of money due from customers

3 (2.88)

2 (2.81)

4 (2.82)

0.08

0.92

NA

Interruption of family life by phone calls

4 (2.76)

3 (2.75)

3 (2.90)

0.43

0.65

NA

Impact of job constraints on social life

5 (2.72)

- (2.47)

5 (2.67)

3.33

0.04

NA

Lack of gratefulness by customers

6 (2.75)

- (2.46)

7 (2.69)

1.23

0.29

NA

Long working hours

7 (2.62)

- (2.39)

- (2.49)

1.05

0.35

NA

Time sharing between spouse and patients

8 (2.70)

9 (2.57)

9 (2.72)

0.53

0.59

NA

Phone calls during the night and early in the morning

9 (2.60)

1 (3.15)

6 (2.72)

6.44

0.00

2 > 1 and 3

Unrealistic expectations from customers

10 (2.56)

- (2.27)

- (2.36)

2.05

0.13

NA

Administrative constraints due to tax liability

- (2.40)

6 (2.58)

- (2.56)

0.44

0.65

NA

Euthanasia requests for non-suffering patients

- (1.88)

7 (2.63)

- (1.74)

13.50

0.00

2 > 1 and 3

Emergency calls during consulting hours

- (2.32)

8 (2.62)

8 (2.67)

1.84

0.16

NA

Follow up of difficult cases

- (2.44)

10 (2.48)

- (2.41)

0.11

0.90

NA

Loss of clients profitable to another veterinary surgeon (competition)

- (2.36)

- (2.46)

10 (2.49)

0.24

0.79

NA

NB: The multivariate analysis of the 15 items performed to compare the type of activity was significant, Wilks' lambda = .61, F(30, 348) = 3.27, P = .000.

Discussion

The aim of this study was to: (1) measure levels of job strain, job engagement, burnout and work-home interference in Belgian veterinary surgeons using self-reports and questionnaires; and, (2) to further identify stressors and work characteristics. Bovine practice was compared to small animal and mixed practice.

The current study revealed a moderate level of job strain in Belgian veterinary surgeons, no higher than in other professional groups. This is surprising when the inherent stressful working conditions described in the introduction, i.e., increasing responsibility of veterinary surgeons and the increasing workload, are taken into consideration. Different authors [31, 18] have found that stress levels can be mitigated by having high authority and high satisfaction in the job. The current study concurs with this statement. Most of the veterinary surgeons sample showed high job engagement which, in turn, may have moderated the job strain levels.

Another important result concerns burnout: more than 15% of the veterinary surgeons sample reported a high level of emotional exhaustion. This result is alarming, according to other studies about burnout in veterinary surgeons [9, 34]. The results are similar to those observed in anaesthetists by Nyssen et al. [30]. These professionals, like veterinary surgeons, seem to enjoy and feel stimulated by their job, but find certain working conditions difficult to cope with. For veterinary surgeons, in the context described above, administrative requirements, difficult relationships with clients and working time constraints can explain this feeling of emotional exhaustion.

This result concerning burnout can be further explained by a much higher negative interference from work to home than what the authors found in other working populations. This holds especially true for bovine and mixed practitioners. The unpredictability of the veterinary working schedule leads all practitioners, but especially bovine and mixed practitioners, to be on stand-by regularly. This variable 'work pace' does not fit with family life. In addition, veterinary surgeons have to be easily reachable by phone and most of the time they do not feel free, especially if they are self-employed and isolated. Flexible schedules in agriculture force veterinary surgeons to deal with flexible planning. Their working time does not allow them to fulfil elementary family roles, which is perceived as difficult by practitioners, and probably even more so by their spouse and children.

There are few other differences in the current sample concerning the type of activity. Bovine practitioners report less job engagement than small animal practitioners. Small animal veterinary surgeons have a lower level of job strain than mixed practitioners. The level of burnout is the same across the three types of activity. This result does not concur with the results reported by Rejula et al. [34] that, among veterinary surgeons, small animal and equine practitioners are the most affected by emotional exhaustion.

The comparison of age also gives some unexpected results. Job engagement, job strain and burnout were not different according to the age of the veterinary surgeon. The authors had thought that even if a practitioner was engaged and committed in the early years of his or her career, their work might have become monotonous and not status-enhancing. However, this was not confirmed in the results.

The present study has its limitations. The response rate in our study was very small, mainly because it was not possible for the authors to send a reminder to potential respondents. The authors could also argue that only veterinary surgeons having more time to answer (and thus a lower workload) have participated in the survey. This could also explain why, despite an alarming context, the results do not confirm a high risk situation in veterinary surgeons as far as wellbeing is concerned. However, the size of the sample was acceptable for the statistical analyses performed on the data. Moreover, the study is focused on French speaking veterinary surgeons working in Belgium and there are few studies in the literature with which to compare the results. It would be interesting to replicate this study in other countries in a cross-cultural perspective.

Conclusion

In this present study, Belgian veterinary surgeons were involved in a survey about stressors and work characteristics, job strain, job engagement, burnout and work-home interference. The main results were a moderate level of job strain together with a high job engagement, a percentage of high burnout in the sample higher than 15% and a much higher negative interference from work to home than what was found by the authors in other working populations, especially for bovine and mixed practitioners. Some interesting new aspects emerged from the results. First, job engagement is a key variable in the way veterinary surgeons perceive their work situation. This is in line with the stress literature which has recently proposed a new theoretical model: the 'Job Demands-Resources Model' [38]. This model refers to two processes, one linked with the positive (motivational process, i.e., job engagement), and the other with the negative (health impairment process, i.e., burnout) aspects of wellbeing, making this phenomenon easier to understand. Second, results about work stressors in the veterinary profession are consistent all through research, including this study: long working hours, excessive workload, working time problems, ethical problems and euthanasia, relationships with clients, occupational risks, diseases related to animal care, uncomfortable working positions and recovery of amounts of money not paid by clients. Third, negative work-home interference was used for the first time in veterinary research. In this study, bovine and mixed practitioners are particularly at risk, mainly because of the unpredictability of the veterinary working schedule and the flexible planning according to phone calls and stand-by duty. For these three new aspects, a sensitisation about job resources, such as external support for the planning, some extra help for administrative purposes and good communications skills, may be effective for improving wellbeing at work in the veterinary profession.

Bartram and Baldwin [3] also reported that several countries such as the UK, US, Canada and Norway have already developed stress management interventions, including a 24-hour peer-support telephone helpline service, programmes of mental health seminars in veterinary schools or training modules on professional key skills. In Belgium, such a helpline service for farmers is organised by the Agricall Walloon Association and the idea was recently extended to veterinary practitioners. Bartram and Baldwin [3] also suggest incorporating training in the use of effective coping strategies for alleviating stress, burnout and negative work-home interference.

In conclusion, the cross-cultural perspective could be interesting in terms of sensitisation and publication of best practices within the world concerning for example administrative requirements, training programmes in terms of communication skills or counselling for a better work-life balance among veterinary surgeons.

Authors’ Affiliations

(1)
Faculty of Psychology, Work Psychology Department, University of Liège
(2)
Faculty of Veterinary Medicine, Clinic for Ruminants, University of Liège

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Copyright

© The Author(s) 2008