| Literature DB >> 30670027 |
Belinda O'Sullivan1, Deborah J Russell2, Matthew R McGrail3, Anthony Scott4.
Abstract
BACKGROUND: The capacity for high-income countries to supply enough locally trained doctors to minimise their reliance on overseas-trained doctors (OTDs) is important for equitable global workforce distribution. However, the ability to achieve self-sufficiency of individual countries is poorly evaluated. This review draws on a decade of research evidence and applies additional stratified analyses from a unique longitudinal medical workforce research program (the Medicine in Australia: Balancing Employment and Life survey (MABEL)) to explore Australia's rural medical workforce self-sufficiency and inform rural workforce planning. Australia is a country with a strong medical education system and extensive rural workforce policies, including a requirement that newly arrived OTDs work up to 10 years in underserved, mostly rural, communities to access reimbursement for clinical services through Australia's universal health insurance scheme, called Medicare.Entities:
Mesh:
Year: 2019 PMID: 30670027 PMCID: PMC6341566 DOI: 10.1186/s12960-018-0339-z
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Population distribution and supply of doctors per 100 000 population, by remoteness, 2015 [11, 61, 62]
| Major cities | Inner regional | Outer regional | Remote/very remote | Whole country | |
|---|---|---|---|---|---|
| Area (1000 km squared) | 19 | 246 | 784 | 6 639 | 7688 |
| Number of people (,000) | 16 864 | 4303 | 2085 | 525 | 23 778 |
| % Indigenous populationa | 34.8 | 22.0 | 21.8 | 21.4 | 100 |
| % non-Indigenous population | 71.3 | 18.3 | 8.7 | 1.7 | 100 |
| General practitioner full | 111.6 | 113.8 | 116.3 | 135.5 | 113.9 |
| General practitioner full | 99.4 | 98.4 | 88.5 | 69.5/55.1 | 95.1 |
| Other medical specialist full | 162.1 | 82.7 | 61.5 | 34.2 | 134.3 |
Location is based on location of main place of work and categorised according to remoteness using the 5-level Australian Statistical Geography Standard Remoteness Area (ASGS-RA) classification [63]
aTotal indigenous population = 669 900; 3% of the total Australian population
bFull time equivalents (of general practitioners (GPs), other specialists) per 100 000 population: based on total hours worked in the past week as collected in the Australian Health Practitioner Regulation Agency annual medical workforce survey. This measure poorly accounts for high workforce turnover, use of locums, OTDs and poorer population health status
cFull service equivalents of GPs per 100 000 population: approximation of hours worked, based on Medicare Benefits Schedule billing (universal billing system) data of number of days worked, volume of services and schedule fees. This measure poorly accounts for factors listed above and additionally salaried activity (not remunerated by Medicare Benefits Schedule billing) which is more common practice by GPs based in small rural and remote areas
Fig. 1Types of locally trained graduate doctors and their 2008–2013 work location, by when they graduated and entered the medical workforce in Australia.
The methods used for this figure have been published elsewhere [27]. Based on locally trained respondents answering the MABEL question “in what year did you complete your basic medical degree”, four groups were categorised (1) late career = graduated during 1970s (mostly aged 55–70 years at time of survey); (2) mid-career = graduated during 1980s (mostly aged 45–60 years); (3) early career = graduated during 1990s (mostly aged 35–50 years); (4) establishing career = graduated during 2000s (mostly aged 25–40 years). Work location was identified by a question “where is your main place of work – town and postcode”, geocoded and categorised rural or metropolitan based on the Modified Monash Model. Each doctor responded to between one and six surveys, thus contributing up to six aggregate person-years of work location data 2008–2013. Non-response weights were applied. Respondents for each cohort were as follows: 1970s = 18%, 1980s = 23%, 1990s = 22%, 2000s = 37% [64]
Location of main place of work when did the MABEL survey (2008–2013) for locally trained and overseas-trained doctors (OTDs) by the period they entered Australian medical workforce
| General practitioners | Other medical specialists | ||||||
|---|---|---|---|---|---|---|---|
| Period entered medical workforce | Category | Metropolitan (%) | Large regional or rural (> 15 000 population) (%) | Small rural and remote (< 15 000 population) (%) | Metropolitan | Large regional (> 50 000 population) (%) | Small regional or remote (< 50 000 population) (%) |
| 1970s | Locally trained | 84.2 | 87.6 | 83.6 | 86.8 | 82.7 | 88.6 |
| OTD | 15.8 | 12.4 | 16.4 | 13.2 | 17.3 | 11.4 | |
| 1980s | Locally trained | 84.3 | 81.4 | 82.1 | 86.2 | 82.6 | 79.7 |
| OTD | 15.7 | 18.6 | 17.9 | 13.8 | 17.4 | 20.3 | |
| 1990–1994 | Locally trained | 72.3 | 60.9 | 68.1 | 80.7 | 71.2 | 68.5 |
| OTD | 27.7 | 39.1 | 31.9 | 19.3 | 28.8 | 31.5 | |
| 1995–1999 | Locally trained | 79.4 | 63.1 | 52.9 | 73.6 | 67.3 | 62.6 |
| OTD | 20.6 | 36.9 | 47.1 | 26.4 | 32.7 | 37.4 | |
| 2000–2004 | Locally trained | 72.3 | 50.6 | 52.0 | 74.7 | 51.2 | 44.0 |
| OTD | 27.7 | 49.4 | 48.0 | 25.3 | 48.8 | 56.0 | |
| 2005–2009 | Locally trained | 54.4 | 41.0 | 33.3 | 66.5 | 40.1 | 34.1 |
| OTD | 45.6 | 59. | 66.7 | 33.5 | 59.9 | 65.9 | |
“Period entered medical workforce” is based on a question in the MABEL survey “in what year did you complete your basic medical degree”. From this, the first year the doctor (general practitioners, other medical specialists, or registrars undertaking formal training for general practice or other specialties) entered the Australian medical workforce was calculated. For OTDs, this is the year that OTDs first registered and commenced work in Australia. OTDs are identified as having completed their basic medical degree in a country other than Australia. Data are unweighted to avoid sample bias related to different age and sex distribution of OTDs relative to locally trained doctors. The methods applied to this analysis have been published elsewhere [27]. “Location of main place of work” was identified by a question “where is your main place of work – town and postcode?”, geocoded and categorised large regional or rural, small rural or metropolitan based on the Modified Monash Model [64]. Each doctors responded to between one and six MABEL surveys, thus contributing up to six aggregate person-years of work location data 2008–2013. The different geographic categorisation applied to specialists reflects they have larger population catchment and practice infrastructure requirements [29]