Objective: To test predictors of practice location of fully qualified Monash University Bachelor of Medicine, Bachelor of Surgery (MBBS) graduates.
Design: Cohort survey, 2011.
Setting: Australia.
Participants: Rural (n = 67/129) and urban (n = 86/191) background doctors starting at Monash University 1992-1999. Approximately 60% female, 77% married/partnered, 79% Australian-born, mean age 34 years, 31% general practitioners, 72% fully qualified and 80% training/practising in major cities.
Main Outcome Measures: First and current practice location once fully qualified. Intended practice location in 5-10 years.
Results: Logistic regression found that rural versus urban background was a significant predictor of rural (outside major city) first practice location (odds ratio (OR) 5.0, 95% confidence interval (CI) 1.3-19.2) and rural current practice location (OR 5.6, 95% CI 1.5-21.2) for fully qualified doctors. General practitioner versus other medical specialists significantly predicted first (OR 7.2, 95% CI 2.1-25.2) or current (OR 3.6, 95% CI 1.1-11.9) rural practice location. Preference for a rural practice location in 5-10 years was predicted by rural background (OR 4.4, 95% CI 1.6-11.8) and positive intention towards rural practice upon completing MBBS (OR 4.6, 95% CI 1.7-12.6). Surveyed in 2011, 28% of those who also responded to the 2006 survey shifted their preferred future practice location from rural to urban communities versus 13% shifting from urban to rural (McNemar-Bowker test, P = 0.02).
Conclusion: The majority of fully qualified Monash MBBS graduates practicing in rural communities have rural backgrounds. The rural-background effect diminished over time and may need continued support during training and full practice.
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http://dx.doi.org/10.1111/ajr.12183 | DOI Listing |
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College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, China.
Exploring the response relationship between civil war, population and land cover change is of great practical significance for social stability in Myanmar. However, the ongoing civil war in Myanmar hinders direct understanding of the situation on the ground, which in turn limits detailed study of the intricate relationship between the dynamics of the civil war and its impact on population and land. Therefore, this paper explores the response relationship between civil war conflict and population and land cover change in Myanmar from 2010 to 2020 from the perspective of remote sensing using the land cover data we produced, the open spatial demographics data, and the armed conflict location and event data project.
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