Australian doctors’ satisfaction with their work: results from the MABEL longitudinal survey of doctors

Catherine M Joyce, Stefanie Schurer, Anthony Scott, John Humphreys and Guyonne Kalb
Med J Aust 2011; 194 (1): 30-33.
Published online: 3 January 2011


Objective: To compare the level and determinants of job satisfaction between four groups of Australian doctors: general practitioners, specialists, specialists-in-training, and hospital non-specialists.

Design, participants and setting: National cross-sectional questionnaire survey as part of the baseline cohort of a longitudinal survey of Australian doctors in clinical practice (Medicine in Australia — Balancing Employment and Life [MABEL]), undertaken between June and November 2008, including 5193 Australian doctors (2223 GPs, 2011 specialists, 351 hospital non-specialists, and 608 specialists-in-training).

Main outcome measures: Job satisfaction scores for each group of doctors; the association between job satisfaction and doctor, job and geographical characteristics.

Results: 85.7% of doctors were moderately or very satisfied with their jobs. There were no differences in job satisfaction between GPs, specialists and specialists-in-training. Hospital non-specialists were the least satisfied compared with GPs (odds ratio [OR], 0.56 [95% CI, 0.39–0.81]). For all doctors, factors associated with high job satisfaction were a good support network (OR, 1.72 [95% CI, 1.41–2.10]), patients not having unrealistic expectations (OR, 1.48 [95% CI, 1.25–1.75]), and having no difficulty in taking time off work (OR,1.48 [95% CI, 1.20–1.84]). These associations did not vary across doctor types. Compared with GPs, on-call work was associated with lower job satisfaction for specialists (OR, 0.48 [95% CI, 0.23–0.98]) and hospital non-specialists (OR, 0.25 [95% CI, 0.08–0.83]).

Conclusion: This is the first national survey of job satisfaction for doctors in Australia. It provides an important baseline to examine the impact of future health care reforms and other policy changes on the job satisfaction of doctors.

Doctors’ job satisfaction levels play an important role in their decisions to reduce working hours or leave the medical workforce, influencing doctor shortages and patient access to care.1-3 Doctors’ job satisfaction is also associated with patient satisfaction and quality of care, through factors such as continuity of care and prescribing patterns.4

Most studies of job satisfaction among Australian doctors focus on general practitioners and show high levels of job satisfaction among small samples.5-8 Female GPs and GPs working in rural areas often report higher levels of satisfaction than other GPs, with similar findings being reported internationally.9 Australian anaesthetists are reported to have high levels of job satisfaction,10 as are ophthalmologists,11 hospital consultants12 and most intensivists, although the latter also report very high levels of burnout.13 For GPs and Australian emergency physicians, dissatisfaction is associated with their workload, administrative demands, working hours (ie, shift work, night shifts and on-call work) and lack of recognition.5-9,14

Although specialists are thought to be more satisfied than GPs, this has not been tested. International research indicates that job satisfaction varies by practice type and specialty.15 Whether such differences reflect the characteristics of the specialties or the characteristics of the doctors who self-select into these specialties is important when designing policies to increase job satisfaction.

The aim of our study was to investigate whether levels of job satisfaction and determinants of satisfaction differ between four groups of doctors in the Australian medical workforce: GPs, specialists, specialists-in-training and hospital non-specialists.


Data from the baseline cohort of the Medicine in Australia — Balancing Employment and Life (MABEL) longitudinal survey of doctors were collected between June and November 2008.16 All 54 750 doctors undertaking some clinical work listed in the Medical Directory of Australia17 were invited by mail to participate. Doctors could choose to complete a paper copy of the questionnaire or an online version through the secure study website. Doctors in remote areas were given an honorarium to maximise their response rates. Four categories of doctors were used:18 GPs and GP registrars, specialists, specialists-in-training and hospital non-specialists (interns, postgraduate non-specialists in years 1 to 3 of their training and hospital medical officers).

The study was approved by the University of Melbourne Faculty of Economics and Commerce Human Ethics Advisory Group and the Monash University Standing Committee on Ethics in Research Involving Humans.

Variables used

Job satisfaction was measured with the widely used 10-item version of the Warr–Cook–Wall job content questionnaire, which includes nine questions about aspects of a job and one global satisfaction question.9,19,20 Participants responded on a five-point Likert scale from “very dissatisfied” (0) to “very satisfied” (4).

The MABEL baseline questionnaire collected detailed data on working arrangements previously shown to be associated with job satisfaction for doctors. These included hours worked, professional relationships and support, on-call work, time pressures, patient characteristics, age, sex, family circumstances and geographical location.


As most doctors were moderately or very satisfied (Box 1), overall job satisfaction was coded as a binary dependent variable equal to 1 if the doctor was “very satisfied” and 0 otherwise. This approach yielded the best goodness-of-fit when compared with coding “moderately satisfied” and “very satisfied” equal to 1. Using a continuous or ordinal dependent variable made little difference to the results. Using Stata, version 10.1 (StataCorp, College Station, Tex, USA), a logistic regression model was estimated, including doctor type as a categorical explanatory variable to test the hypothesis that job satisfaction was different between doctor types. Correlations between independent variables were checked for multicollinearity, and the functional form of continuous variables was decided on the basis of the Pregibon link test. Goodness-of-fit tests were conducted using the Hosmer–Lemeshow test and the Akaike and Bayesian information criteria. Wald tests of joint significance for each block of coefficients relating to a categorical or continuous variable were used to assess whether the variable was associated with job satisfaction.

Survey weights were used to adjust for survey response bias with respect to age, sex, doctor type, geographical location, state and whether they received an honorarium.21 The precision of the estimated strength of relationship between the independent and dependent variables was robust when either the survey weights or observations with high leverage (ie, influential observations, such as outliers) were excluded from the analysis. A model including interaction terms between doctor type and each independent variable was estimated to test hypotheses about whether the factors associated with job satisfaction were different for each type of doctor.22


A total of 10 498 doctors (19.4% of those contacted and eligible) responded. The highest response rate was from specialists (4310; 22.3%), followed by specialists-in-training (864; 20.6%), GPs (3873; 17.7%) and hospital non-specialists (1451; 16.5%). Online responses were received from 30.4% of all respondents (25.4% of GPs, 27.6% of specialists, 47.6% of hospital non-specialists and 38% of specialists-in-training). Respondents showed small but statistically significant differences from the population of doctors listed in the Medical Directory of Australia list with respect to age, sex, doctor type and geographical location.16 Results presented are based on the 5193 respondents who provided complete data for all variables in the regression model (2223 GPs, 2011 specialists, 351 hospital non-specialists and 608 specialists-in-training).

Most doctors were either moderately satisfied or very satisfied with their jobs (Box 1). Specialists were most likely to be very satisfied (37.5%), followed by GPs (32.7%), specialists-in-training (21.4%) and hospital non-specialists (16.9%). Fewer than 2% of doctors in each group were very dissatisfied, but 12% of hospital non-specialists were moderately dissatisfied, compared with 7%– 8% for other doctors.

Descriptive statistics for independent variables in the regression model are available from the authors on request. After controlling for doctor, job and geographical characteristics, specialists and specialists-in-training were just as likely to report high job satisfaction as GPs, but the odds of hospital non-specialists being very satisfied were 0.56 times that of GPs (Box 2).

There was no significant difference (at the 5% level) between the proportions of male and female doctors who reported being very satisfied with their job (Box 2). The age and age-squared variables show that the odds of reporting high job satisfaction follow a U-shape, such that satisfaction falls with age at first, but slowly flattens out and then rises again as doctors approach retirement. The odds of being very satisfied were lower for doctors with lower levels of self-assessed health. Doctors with higher household incomes were more likely to be satisfied.

Other factors associated with being very satisfied were having a good professional support network (odds ratio [OR], 1.72 [95% CI, 1.41–2.10] compared with neutrality) and ease of taking time off work (OR, 1.48 [95% CI, 1.20–1.84] compared with neutrality) (Box 2).

Doctors who agreed with the statement “My patients have unrealistic expectations about how I can help them” were less likely to be very satisfied than those who were neutral on this statement (OR, 0.52 [95% CI, 0.43–0.62]), while doctors who disagreed were more likely to be very satisfied (OR, 1.48 [95% CI, 1.25–1.75]) (Box 2).

Doctors with friends and family in their current work location were more likely to be very satisfied with their job than those who were neutral on this statement (OR, 1.57 [95% CI, 1.24–2.00]). Compared with doctors in New South Wales, doctors practising in the Australian Capital Territory, Queensland and Western Australia were between 1.2 and 1.7 times more likely to be very satisfied.

The odds ratios were statistically significant for only two interaction terms. For specialists who had a child and a partner, the odds of being very satisfied were greater than those of a GP with a child and a partner (OR, 2.05 [95% CI, 1.28–3.29]) (data not shown). Specialists who did on-call work were less likely to report being very satisfied than GPs doing on-call work (OR, 0.48 [95% CI, 0.23–0.98]). There were similar findings for hospital non-specialists who did on-call work compared with GPs (OR, 0.25 [95% CI, 0.08– 0.83]) (data not shown).


Most doctors in Australia are moderately or very satisfied with their jobs, with no significant differences in job satisfaction between GPs, specialists and specialists-in-training. Hospital non-specialists appeared to be less satisfied than GPs. Interns and hospital medical officers comprise 85% of hospital non-specialists, and are likely to experience the least autonomy over their work and also to work the longest hours, factors previously found to be associated with lower job satisfaction.5-9,14

The key drivers of overall job satisfaction demonstrated by our study are summarised in Box 3. While we can identify associations, the direction of causality in these relationships is unknown.

Agreeing that their patients had realistic expectations was associated with high job satisfaction, consistent with previous studies examining job satisfaction and “difficult encounters”.23,24 Previous research has shown that reporting of “heartsink” patients (difficult or problem patients, about whom doctors tend to feel helpless) was associated with a higher perceived workload, a lack of training in counselling and communication skills, and a lack of appropriate postgraduate qualifications, rather than with patient characteristics.24 It may be that a high number of difficult encounters leads to lower job satisfaction, or that dissatisfied doctors perceive a higher number of encounters as difficult.

Having professional support was strongly associated with job satisfaction, consistent with research showing that it is a key factor in retention for rural areas, and that graduates’ perceptions of professional support influence their career choices.25-29 The associations between location of work and job satisfaction may reflect factors such as the availability of health resources, population factors, variation in working conditions, or the cost of living.

Whether a doctor had qualified overseas was not associated with job satisfaction, suggesting that overseas-trained doctors have the same level of satisfaction as Australian-trained doctors.

There was no association between job satisfaction and remoteness, although this may be an artefact of the Australian Standard Geographical Classification remoteness areas classification, which groups heterogeneous locations within each category. We tested for interactions between remoteness and whether an individual obtained a degree outside Australia, as one might expect having an overseas qualification to have more of an effect in a rural area, but these were jointly insignificant (P = 0.71).

Being on-call and the number of hours worked per week were not statistically significant in the overall model and did not differ across doctor types, although specialists doing on-call work were less likely to be satisfied than GPs doing on-call work. With regard to hours worked, this is surprising, given that results from previous research show some association, especially for those who are working very long hours and experience burnout.9 However, the culture of clinical practice is that working long hours is the norm and is necessary to complete training programs. Hence, a high reported job satisfaction for doctors working long hours may reflect the fact that actual hours worked are in line with expectations.

The data used in our analysis were self-reported and from a self-selected group of doctors. The generalisability of the findings is improved by the use of survey weights in the analysis. The representativeness of the data has been discussed in detail elsewhere.16

As large numbers of medical graduates begin to enter the health care system, the finding that hospital non-specialists experience the lowest job satisfaction is a cause for concern. This may be part of the medical training culture, and therefore may be accepted by many as not being a problem. However, an increase in the number of junior doctors combined with a fixed pool of doctors to supervise their training is unlikely to improve the situation. It will be important to monitor job satisfaction and conduct further research into burnout and exits from the profession by junior doctors.

The associations reported here provide an important baseline for examining changes in job satisfaction over time in response to health policy reform and changes in job characteristics. Questions about whether job satisfaction influences doctors’ decisions about working hours, retention and mobility are central to examining patterns of access to health care, and require further research.

1 Job satisfaction by doctor type*

General practitioners


Hospital non-specialists


All doctors

Mean job satisfaction (range, 0–4) (95% CI)

3.06 (3.02–3.11)

3.15 (3.10–3.19)

2.85 (2.76–2.94)

2.96 (2.89–3.03)

3.06 (3.04–3.10)

Distribution (%) (95% CI)

Very dissatisfied

1.56 (0.97–2.14)

1.10 (0.61–1.58)

0.70 (0.10–1.49)

1.59 (0.49–2.70)

1.34 (0.99–1.70)

Moderately dissatisfied

8.54 (7.30–9.78)

7.98 (6.72–9.24)

11.93 (8.34–15.53)

7.27 (5.06–9.49)

8.45 (7.64–9.26)

Not sure

4.54 (3.60–5.48)

3.65 (2.78–4.51)

6.03 (3.40–8.66)

6.15 (4.11–8.20)

4.55 (3.94–5.16)

Moderately satisfied

52.71 (50.49–54.93)

49.78 (47.50–52.06)

64.41 (59.13–69.70)

63.59 (59.42–67.75)

53.92 (52.48–55.37)

Very satisfied

32.65 (30.57–34.73)

37.49 (35.28–39.71)

16.93 (13.00–20.96)

21.39 (17.81–24.97)

31.74 (30.41–33.07)

Unweighted sample size






* Includes sample used in regression models, adjusted with survey weights. Actual number of doctors in the analysis.

2 Association between doctors being “very satisfied” in their job and doctor, job and geographical characteristics: results from logistic regression*

OR (95% CI) (n = 5193)


Type of doctor (reference: GP)



0.99 (0.84–1.18)

Hospital non-specialist

0.56 (0.39–0.81)


0.82 (0.60–1.12)

Female (reference: male)

1.16 (0.98–1.37)



0.92 (0.87–0.98)


Age square

1.01 (1.01–1.02)

< 0.001

Family status (reference: single)


Has partner, no children

1.13 (0.86–1.49)

Has children, no partner

1.48 (0.97–2.24)

Has partner and children

1.24 (0.95–1.62)

Self-assessed health (reference: excellent)

< 0.001

Very good

0.67 (0.57–0.79)


0.47 (0.39–0.58)

Bad or poor

0.30 (0.21–0.42)

Annual household income§

1.36 (1.18–1.56)

< 0.001

Poor support network of similar doctors (reference: neutral)

< 0.001


0.93 (0.74–1.17)


1.72 (1.41–2.10)

Difficult to take time off work (reference: neutral)

< 0.001


0.83 (0.66–1.03)


1.48 (1.20–1.84)

Hours worked per week (reference: 35–54)


≤ 35

1.08 (0.90–1.30)


0.78 (0.59–1.05)

≥ 60

0.91 (0.72–1.14)

Doing own on-call work (yes = 1)

0.88 (0.75–1.04)


Degree obtained outside Australia (yes = 1)

0.89 (0.60–1.32)


Patients have unrealistic expectations (reference: neutral)

< 0.001


0.52 (0.43–0.62)


1.48 (1.25–1.75)

Few friends and family locally (reference: neutral)

< 0.001


1.16 (0.89–1.52)


1.57 (1.24–2.00)

ASGC remoteness area (reference: major city)


Inner regional

1.22 (0.99–1.51)

Outer regional, remote and very remote

1.22 (0.90–1.65)

State (reference: New South Wales)


Australian Capital Territory

1.71 (1.06–2.74)

Northern Territory

1.17 (0.59–2.32)


1.24 (1.00–1.53)

South Australia

1.28 (0.98–1.69)


0.89 (0.58–1.37)


1.18 (0.99–1.41)

Western Australia

1.53 (1.18–1.98)

OR = odds ratio. ASGC = Australian Standard Geographical Classification. * Data adjusted with survey weights. ORs indicate differences between each group within a categorical variable, compared with designated reference group. P indicates strength of association between each variable and job satisfaction. § Equivalised household income refers to annual household income divided by the square root of the number of household members; log transformation of household income was chosen due to better model fit. Pseudo-log likelihood = 2748.

3 Key factors associated with high job satisfaction

Job characteristics

  • Realistic patient expectations

  • Good professional support networks

  • Being able to take time off

Geographical factors

  • Friends and family in current work location

  • Working outside New South Wales

Doctor characteristics

  • Being younger or close to retirement

  • Good self-reported health

  • High household income

Received 20 December 2009, accepted 7 September 2010

  • Catherine M Joyce1
  • Stefanie Schurer2
  • Anthony Scott2
  • John Humphreys1
  • Guyonne Kalb2

  • 1 Monash University, Melbourne, VIC.
  • 2 Melbourne Institute of Applied Economic and Social Research, University of Melbourne, Melbourne, VIC.


This work was supported by a National Health and Medical Research Council Health Services research grant and the Australian Department of Health and Ageing. The views in this paper are those of the authors alone. We thank the doctors who gave their valuable time to participate in the Medicine in Australia — Balancing Employment and Life Study; Anne Leahy, Sung-Hee Jeon, Julia Witt, Terence Cheng, Daniel Kuehnle, Matthew McGrail, Michelle McIsaac, Durga Shrestha, Danny Hills and Peter Sivey for data cleaning and comments; and Rory Wolfe for biostatistical advice.

Competing interests:

None identified.

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