Data Sources
The data published on the Medi-Nav website is collated from a number of external and internal sources. The following table outlines the data sources and definitions:
| Name of publication | Source of publication | Link to source data | Medi-Nav data points | Data definition | |
|---|---|---|---|---|---|
| Specialists | |||||
| National Health Workforce Dataset 2020 | Australian Department of Health | Data Source | Number of specialists - QLD | Total number of registered specialists in QLD 2020 | |
| Number of specialists - Australia | Total number of registered specialists in Australia 2020 | ||||
| % male/female | Proportions of female and male specialists in QLD 2020 | ||||
| Average age | Average age of QLD specialists 2020 | ||||
| Average weekly hours | Average number of hours worked by QLD specialists in one week 2020 | ||||
| % over 60 years of age | Proportion of QLD specialists aged 60 or over 2020 | ||||
| % intend to retire in 10 years | Proportion of 2020 QLD specialists who indicated an intention to retire by 2030 | ||||
| Location | Proportions of QLD specialists practicing in major cities or regionally 2020 | ||||
| % private and public | Proportion of QLD specialists practising in private and public 2020 | ||||
| Medical Education and Training (MET) Report 2020 | Australian Department of Health | Data Source | Number of new fellows - QLD | Total number of Fellows admitted in 2020 - QLD | |
| Number of new fellows - Australia | Total number of Fellows admitted in 2020 - Australia | ||||
| Trainees | |||||
| Medical Education and Training (MET) Report 2020 and specialist medical colleges | Australian Department of Health, medical specialist colleges | Data Source | Number of trainees - Australia | Number of accredited trainees within specialty/sub-specialty across Australia as at 2020 | |
| Number of trainees - QLD | Number of accredited trainees within specialty/sub-specialty in QLD as at 2020 | ||||
| Proportion male/female | Proportions of QLD female and male advanced trainees within specialty/sub-specialty in 2020 | ||||
| Number of new trainees - Australia | Number of medical practitioners accepted onto an accredited training program in Australia in 2020 | ||||
| Number of new trainees - QLD | Number of medical practitioners accepted onto an accredited training program in QLD in 2020 | ||||
| Trainee Trends | Number of accredited trainees in Queensland 2015-2020 | ||||
| Medical specialist colleges, Queensland Advanced Training Pathways | QLD Training Program Selections (First Year) | Number of first year eligible applications received and number of first year applicants selected for QLD Training Programs in 2022 | |||
Data caveats:
The data published on the Medi-Nav website is collated from various data sources from 2020 to 2022 and is correct at the time of publication.
The National Health Workforce Dataset (2021 and 2022) is a combination of annual registration data and voluntary workforce survey conducted by the Australian Health Practitioner Regulation Agency (Ahpra).
The response rate for the voluntary workforce survey by the specialist workforce is >90%
Specialist data is sourced from the workforce survey where practitioners self-nominate the specialty in which they primarily practice (as such the data does not reflect practitioners with dual qualification).
Specialist data for General Practice is a combination of practitioners with ACRRM and RACGP Fellowship qualifications.
Trainee data for sub-specialties which was not available in the Medical Education and Training (MET) report has been sourced from the respective medical specialist colleges.
Trainee data predominately represents advanced trainees, however basic trainees are included in the total where data is available (specialties including basic trainees: anaesthetics, pain medicine, dermatology, emergency medicine, paediatric medicine, obstetrics and gynaecology, ophthalmology)
Trainee gender proportions represent advanced trainees only.
The source of data for gender proportions reflects a binary gender framework and we acknowledge that these options are not necessarily reflective of the gender diversity of the medical workforce.
Training Program Selections data:
The data on this page compares the number of applicants that were selected to commence their first year of training in Queensland in 2023 to the total number of eligible applications*
The data was sourced from the relevant medical specialist college, or from selection committees coordinated by a Queensland Health pathway/network, or an individual facility.
IMPORTANT NOTE:
This data reflects a point in time figure for the selection of applicants commencing the first year of an accredited training program in the 2023 clinical year.
* eligible applications are determined by selection committees according to the eligibility criteria and required documentation prescribed by the relevant medical specialist college.