| Literature DB >> 33032604 |
Matthew R McGrail1, Belinda G O'Sullivan2,3, Deborah J Russell4, Muntasirur Rahman3.
Abstract
BACKGROUND: Improved medical care access for rural populations continues to be a major concern. There remains little published evidence about postgraduate rural pathways of junior doctors, which may have strong implications for a long-term skilled rural workforce. This exploratory study describes and compares preferences for, and uptake of, rural internships by new domestic and international graduates of Victorian medical schools during a period of rural internship position expansion.Entities:
Keywords: Internship; Junior doctors; Rural health services; Training pathways; Vocational training; Workforce
Mesh:
Year: 2020 PMID: 33032604 PMCID: PMC7543036 DOI: 10.1186/s12913-020-05779-1
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Victoria’s growth of medical graduates and internship positions (metropolitan and rural), 2009–10 to 2016–174
| Apply year | Victorian graduates | Uptake year | Positions | Metropolitan | Large rural (> 50,000) | Smaller rural towns | Combined Rural |
|---|---|---|---|---|---|---|---|
| 2009 | 534 | 561 | 88.6% | 6.2% | 5.2% | 11.4% | |
| 2010 | 577 | 625 | 87.8% | 6.9% | 5.3% | 12.2% | |
| 2011 | 721 | 701 | 83.9% | 8.6% | 7.6% | 16.1% | |
| 2012 | 795 | 705 | 83.5% | 8.4% | 8.1% | 16.5% | |
| 2013 | 825 | 758 | 81.1% | 10.4% | 8.4% | 18.9% | |
| 2014 | 742 | 766 | 78.6% | 10.2% | 11.2% | 21.4% | |
| 2015 | 842 | 813 | 77.7% | 10.3% | 11.9% | 22.3% | |
| 2016 | 846 | 825 | 76.8% | 10.4% | 12.7% | 23.2% | |
Net growth positions (2010–17) | + 264 (47%) | + 137 (28%) | + 51 (146%) | + 76 (262%) | + 127 (198%) | ||
Whilst most graduates take up an internship position in the same jurisdiction as where they graduated, this is not obligated
As of 2016, there were 10 metropolitan and 14 rural internship training sites in Victoria
Includes all of (a) Domestic Commonwealth supported, (b) Domestic full-fee and (c) International full-fee
Source: Postgraduate Medical Council Of Victoria. Annual Reports 2009–10 through to 2016–17
Eligibility criteria for different rounds of Victorian Internship Match
| Eligible for first round: | Eligible for second round: | Eligible for third round: |
|---|---|---|
▪ Australian and New Zealand citizens and Australian permanent residents graduating from a Victorian medical school. Includes both Commonwealth supported and domestic full fee-paying students (i.e. graduates of University of Melbourne, Monash University, Deakin University and University of Notre Dame: Melbourne & Ballarat Clinical Schools). | ▪ Australian temporary resident graduates of Victorian medical schools (i.e. international students graduating from the same list of Victorian universities and clinical schools). | ▪ Australian and New Zealand citizen/permanent resident graduating from interstate or New Zealand universities (including previous residents of Victoria). ▪ Australian temporary resident graduates of interstate universities; ▪ Graduates from an overseas campus of an Australian/New Zealand University accredited by the Australian Medical Council (e.g. Monash University – Sunway Campus, Malaysia) |
Priority list, preference matching and internship location of successfully matched applicants (2013–16) for Victorian internship
| Victorian-trained domestic graduates ( | Victorian-trained international graduates ( | Other graduates ( | Total interns ( | |||
|---|---|---|---|---|---|---|
| Computer matched ( | Through discussion ( | Computer matched ( | Through discussion ( | Through discussion ( | Overall | |
| Total number of preferences: mean (SD) | 8.8 (2.9) | 8.6 (3.7) | 15.0 (4.9) | 14.3 (4.5) | 11.6 (6.6) | 9.4 (3.8) |
| Total preferences for metropolitan locations: mean (SD) | 7.1 (2.2) | 6.7 (2.5) | 7.8 (2.2) | 7.4 (2.4) | 6.3 (3.3) | 7.1 (2.3) |
| Total preferences for rural locations: mean (SD) | 1.7 (2.1) | 1.8 (2.3) | 7.2 (4.1) | 6.9 (4.2) | 5.3 (4.8) | 2.3 (3.0) |
| 0% | 31.1% (807) | 32.4% (47) | 5.6% (10) | 4.8% (4) | 21.4% (28) | 28.6% (896) |
| 1–20% | 37.5% (971) | 33.8% (49) | 7.3% (13) | 9.6% (8) | 13.0% (17) | 33.8% (1058) |
| 21–50% | 25.4% (657) | 28.3% (41) | 44.7% (80) | 47.0% (39) | 24.4% (32) | 27.1% (849) |
| 51–100% | 6.1% (157) | 5.5% (8) | 42.5% (76) | 38.6% (32) | 41.2% (54) | 10.5% (327) |
| Yes | 20.1% (522) | 20.0% (29) | 35.2% (63) | 32.5% (27) | 48.9% (64) | 22.5% (705) |
| No | 79.9% (2070) | 80.0% (116) | 64.8% (116) | 67.5% (56) | 51.1% (67) | 77.5% (2425) |
| Yes | 8.2% (212) | 7.6% (11) | 22.9% (41) | 18.1% (15) | 32.1% (42) | 10.3% (321) |
| No | 91.8% (2380) | 92.4% (134) | 77.1% (138) | 81.9% (68) | 67.9% (89) | 89.7% (2809) |
| 1st preference | 51.2% (1327) | 26.3% (47) | 43.9% (1374) | |||
| 2nd – 3rd preference | 25.0% (649) | 16.2% (29) | 21.7% (678) | |||
| 4th – 5th preference | 13.7% (355) | 15.6% (28) | 12.2% (383) | |||
| 6th or higher preference | 10.1% (261) | 41.9% (75) | 10.7% (336) | |||
| Not applicable/ no information | – | 145 | – | 83 | 131 | 11.5% (359) |
| Metropolitan (MMM-1) | 86.3% (2236) | 30.3% (44) | 53.1% (95) | 47.0% (39) | 45.8% (60) | 79.0% (2474) |
| Large regional (MMM-2) | 7.8% (203) | 19.3% (28) | 18.4% (33) | 14.5% (12) | 22.9% (30) | 9.8% (306) |
| Smaller regional or rural towns (MMM −3-5)a | 5.9% (153) | 50.3% (73) | 28.5% (51) | 38.5% (32) | 31.3% (41) | 11.2% (350) |
| a | 62 | 20 | 18 | 13 | 15 | 128 |
SD Standard deviation; MMM Modified Monash Model (rurality scale); RCIT Rural community internship training; Priority Group = 3 levels as per definitions in Table 2
a Smaller regional or rural towns (MMM 3–5) includes RCIT positions
Interns’ matched preferences and characteristics relative to internship location
| Accepted metropolitan (MMM-1) positions ( | Accepted rural (MMM 2–5) position ( | Accepted large regional (MMM-2) position ( | Accepted non- RCIT smaller regional or rural town (MMM 3–5) position ( | Accepted RCIT position ( | |
|---|---|---|---|---|---|
| Match 1st preference | 51.0% (1262) | 24.5% (161) | 29.7% (91) | 11.7% (26) | 34.4% (44) |
| Match: 2nd-3rd preference | 25.9% (641) | 10.7% (70) | 14.7% (45) | 4.5% (10) | 11.7% (15) |
| Match: 4th – 5th preference | 14.2% (350) | 8.8% (58) | 11.1% (34) | 8.6% (19) | 3.9% (5) |
| Match: outside top five preferences | 7.4% (184) | 36.1% (237) | 30.7% (94) | 49.6% (110) | 25.8% (33) |
| Non-algorithm match/NA | 1.5% (37) | 19.8% (130) | 13.7% (42) | 25.7% (57) | 24.2% (31) |
| 24+ years | 77.3% (1912) | 85.8% (563) | 83.3% (255) | 86.0% (191) | 91.4% (117) |
| < 24 years | 22.7% (562) | 14.2% (93) | 16.7% (51) | 14.0% (31) | 8.6% (11) |
| Female | 53.6% (1325) | 50.2% (329) | 54.9% (168) | 42.3% (94) | 52.3% (67) |
| Male | 46.4% (1149) | 49.9% (327) | 45.1% (138) | 57.7% (128) | 47.7% (61) |
| Group 1 | 92.2% (2280) | 69.7% (457) | 75.5% (231) | 64.9% (144) | 64.1% (82) |
| Group 2 | 5.4% (134) | 19.5% (128) | 14.7% (45) | 23.4% (52) | 24.2% (31) |
| Group 3 | 2.4% (60) | 10.8% (71) | 9.8% (30) | 11.7% (26) | 11.7% (15) |
MMM Modified Monash Model (rurality scale); RCIT Rural community internship training; Priority Group = 3 levels as per definitions in Table 2
a Any rural (MMM2–5) = Large regional + smaller regional / rural town + RCIT (smaller rural)
Trends in preferences amongst those accepting internships for computer-matched interns, by calendar year 2013–16
| Application year | 2013 | 2014 | 2015 | 2016 | Overall |
|---|---|---|---|---|---|
| Metropolitan locations filled by matching process % (n) | |||||
| Match 1st preference | 52.4% (296) | 55.2% (322) | 50.7% (299) | 51.6% (306) | 52.5% (1223) |
| Match: 2nd-3rd preference | 31.3% (177) | 23.8% (139) | 26.4% (156) | 25.0% (148) | 26.6% (620) |
| Match: 4th – 5th preference | 11.9% (67) | 13.7% (80) | 14.9% (88) | 16.5% (98) | 14.3% (333) |
| Match: outside top five preferences | 4.4% (25) | 7.2% (42) | 8.0% (47) | 6.9% (41) | 6.7% (155) |
| Regional/rural filled by matching % (n) | |||||
| Match 1st preference | 32.1% (34) | 18.6% (19) | 48.4% (46) | 38.0% (52) | 34.3% (151) |
| Match: 2nd-3rd preference | 13.2% (14) | 17.7% (18) | 11.6% (11) | 11.0% (15) | 13.2% (58) |
| Match: 4th – 5th preference | 18.9% (20) | 11.8% (12) | 9.5% (9) | 6.6% (9) | 11.4% (50) |
| Match: outside top five preferences | 35.9% (38) | 52.0% (53) | 30.5% (29) | 44.5% (61) | 41.1% (181) |
| Mean # preferences: Total (SD) | 8.0 (±3.2) | 9.6 (±3.9) | 9.3 (±2.6) | 9.9 (±3.7) | 9.2 (±3.5) |
| Mean # preferences: regional/ rural (SD) | 1.4 (±2.2) | 2.2 (±3.1) | 1.7 (±1.8) | 2.8 (±3.1) | 2.0 (±2.7) |
| % with no regional/rural locations in preference list | 44.4% (298) | 30.2% (207) | 25.6% (175) | 18.8% (137) | 29.5% (817) |
| % with any rural (MMM 2+) in top five | 25.2% (169) | 16.6% (114) | 17.4% (119) | 25.1% (183) | 21.1% (585) |
| % with MMM 3–5 in top five | 7.6% (51) | 8.9% (61) | 7.3% (50) | 12.5% (91) | 9.1% (253) |
| % matching RCIT position in top five | 1.2% (8) | 2.3% (16) | 2.3% (16) | 3.2% (23) | 2.3% (63) |
SD Standard deviation; MMM Modified Monash Model (rurality scale); RCIT Rural community internship training