Find out how you can create your own tailored report using the Medical Training Survey (MTS) datasets including how to; compare datasets across years, specialist medical colleges and states/territories, switch on the national average, change how the data is displayed (graph or table format), output your tailored report as a PDF or powerpoint file and see the statistical significance. Click play on the instructional video above and discover the many possibilities of the MTS interactive data dashboard.
The Medical Training Survey is designed as a quality improvement tool, to strengthen post-graduate medical training in Australia. The survey covers various aspects, which are reflected in the survey domains within the reports:
Demographic and other profiling information is also collected to enable filtering and comparison of survey results.
Further information about the methodology is contained within the national report, accessible via the Reports and results section of this website.
The Medical Training Survey invited doctors in training across various stages of their training to participate in the survey. This included interns, prevocational and unaccredited trainees, specialists (GP and non-GP) trainees and international medical graduates (IMGs) with provisional or limited registration.
In 2019, n=9,917 responses were received via an online survey, with n=9,378 responses eligible for analysis (i.e. currently training in Australia) between 25 July and 7 October 2019. Of these, 7,693 doctors in training completed more than 75% of the survey questions.
In 2020, n=21,851 doctors in training responded, with n=20,915 responses eligible for analysis between 21 July and 8 October 2020. Of these, n=17,038 doctors in training passed the 75% point of their respective survey version.
In 2021, n=21,604 doctors in training responded, with n=20,671 responses eligible for analysis between 22 July and 8 October 2021. Of these, n=17,730 doctors in training passed the 75% point of their respective survey version.
In 2022, n=23,083 doctors in training responded, with n=22,135 responses eligible for analysis between 28 July and 8 October 2022. Of these, n=18,703 doctors in training passed the 75% point of their respective survey version.
A sample size of n=18,703 gives a maximum margin of error ±0.7 at a 95% confidence level for questions which were asked of all doctors in training. For some questions, the margin of error may be higher or lower, depending on the number of respondents to that question. A maximum margin of error ±0.7 at a 95% confidence level means, for example, that if a survey result is 50%, we can be sure that if we repeat the survey multiple times, 95% of these times the survey result will be between 50.7% and 49.3%.
Survey data are unweighted.
Please note that results are suppressed where the base size (the number of eligible respondents answering a question) is less than 10 – this is to preserve anonymity. Care should be taken in interpreting the data across groups where samples sizes are less than 30.
The sample size (n=) will update based on filters selected.
The survey is designed to enable participants to select responses from pre-defined list of options. Some survey questions allowed input of more than one response, meaning that some results will sum to more than 100%. No survey question required input of a text response.
The number of responses to each survey question varies. Questions which did not apply to all doctors in training, are either filtered based on responses to earlier questions, or include a ‘not applicable’ option.
Questions which were not critical for determining the logic for later survey questions could be skipped by participants. Questions which participants skipped or a ‘not applicable’ option was selected are not included in the base for the calculations of results (i.e. not include in n= for that particular question).
For demographic and profiling questions, response options such as ‘do not wish to specify’ or ‘prefer not to say’ were provided to participants. These response options are included in the base to calculate the results.
You are able to access all survey questions from the Resources tab of this website.
Care should be taken when interpreting the data across subgroups where sample sizes are small:
To access Medical Training Survey data, please go to https://MedicalTrainingSurvey.gov.au/Results