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Impact of medical student origins on the likelihood of ultimately practicing in areas of low vs high socio-economic status

Overview of attention for article published in BMC Medical Education, January 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 4,047)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
9 news outlets
blogs
3 blogs
twitter
9 X users
facebook
1 Facebook page

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
97 Mendeley
Title
Impact of medical student origins on the likelihood of ultimately practicing in areas of low vs high socio-economic status
Published in
BMC Medical Education, January 2017
DOI 10.1186/s12909-016-0842-7
Pubmed ID
Authors

Ian B. Puddey, Denese E. Playford, Annette Mercer

Abstract

Medical schools are in general over-represented by students from high socio-economic status backgrounds. The University of Western Australia Medical School has been progressively widening the participation of students from a broader spectrum of the community both through expanded selection criteria and quota-based approaches for students of rural, indigenous and other socio-educationally disadvantaged backgrounds. We proposed that medical students entering medical school from such backgrounds would ultimately be more likely to practice in areas of increased socio-economic disadvantage. The current practice address of 2829 medical students who commenced practice from 1980 to 2011 was ascertained from the Australian Health Practitioner Regulation Agency (AHPRA) Database. Logistic regression was utilised to determine the predictors of the likelihood of the current practice address being in the lower 8 socio-economic deciles versus the top 2 socio-economic deciles. Those who were categorised in the lower 8 socio-economic deciles at entry to medical school had increased odds of a current practice address in the lower 8 socio-economic deciles 5 or more years after graduation (OR 2.05, 95% CI 1.72, 2.45, P < 0.001). Other positive univariate predictors included age at medical degree completion (for those 25 years or older vs those 24 years or younger OR 1.53, 95% CI 1.27, 1.84, P < 0.001), being female (OR 1.26, 95% CI 1.07, 1.48, P = 0.005) and having a general practice versus specialist qualification (OR 4.16, 95% CI 3.33, 5.19, P < 0.001). Negative predictors included having attended an independent school vs a government school (OR 0.77, 95% CI 0.64, 0.92, P < 0.001) or being originally from overseas vs being born in Oceania (OR 0.80, 95% CI 0.67, 0.96, P = 0.017). After adjustment for potential confounders in multivariate logistic regression, those in the lower 8 socio-economic deciles at entry to medical school still had increased odds of having a current practice address in the lower 8 socio-economic deciles (OR 1.63, 95% CI 1.34, 1.99, P < 0.001). Widening participation in medical school to students from more diverse socio-educational backgrounds is likely to increase the distribution of the medical workforce to ultimate service across areas representative of a broader socio-economic spectrum.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
South Africa 1 1%
Unknown 95 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 15%
Student > Master 10 10%
Student > Doctoral Student 9 9%
Researcher 8 8%
Student > Ph. D. Student 7 7%
Other 22 23%
Unknown 26 27%
Readers by discipline Count As %
Medicine and Dentistry 40 41%
Nursing and Health Professions 9 9%
Social Sciences 6 6%
Business, Management and Accounting 3 3%
Psychology 2 2%
Other 7 7%
Unknown 30 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 91. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2024.
All research outputs
#477,071
of 25,718,113 outputs
Outputs from BMC Medical Education
#26
of 4,047 outputs
Outputs of similar age
#10,022
of 423,831 outputs
Outputs of similar age from BMC Medical Education
#2
of 52 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,047 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 423,831 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.