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The role of controllable lifestyle in the choice of specialisation among Hungarian medical doctors

Overview of attention for article published in BMC Medical Education, November 2017
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Title
The role of controllable lifestyle in the choice of specialisation among Hungarian medical doctors
Published in
BMC Medical Education, November 2017
DOI 10.1186/s12909-017-1031-z
Pubmed ID
Authors

Edmond Girasek, Miklós Szócska, Eszter Kovács, Péter Gaál

Abstract

Hungary has been serious facing human resources crisis in health care, as a result of a massive emigration of health workers. The resulting shortage is unevenly distributed among medical specialisations. The findings of research studies are consistent in that the most important motivating factor of the choice of the medical career and of medical specialisations is professional interest. Beyond this, it is important to examine other reasons of why students do or do not choose certain specialisations. The lifestyle determined by the chosen speciality is one such factor described in the literature. Using convenient sampling, first year resident medical doctors from each of the four Hungarian universities with a medical faculty were asked to participate in the study in 2008. In total 391 first year resident medical doctors completed the self-administered questionnaire indicating a 57.3% response rate. On the basis of the work of Schwartz et al. (Acad Med 65(3):207-210, 1990), the specialisation fields were divided into the two main categories of non-controllable (NCL) or controllable lifestyles (CL). We carried out a factor analysis on motivating factors and set up an explanatory model regarding the choice of CL and NCL specialisations. Two maximum likelihood factors were extracted from the motivational questions: "lifestyle and income" and "professional interest and consciousness". The explanatory model on specialisation choice shows that the "professional interest and consciousness" factor increases the likelihood of choosing NCL specialisations. In contrast the "lifestyle and income" factor has no significant impact on the choice of CL/NCL specialisations in the model. Our results confirm the important role of professional interest in the choice of medical specializations in Hungary. On the other hand, it seems surprising that we found no significant difference in the "lifestyle and income" related motivation among those medical residents, who opted for CL as opposed to those, who opted for NCL specialisations. This does not necessarily mean that lifestyle is not an important motivating factor, but that it is equally important for both groups of medical residents.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 14%
Lecturer > Senior Lecturer 3 10%
Unspecified 2 7%
Other 2 7%
Librarian 2 7%
Other 7 24%
Unknown 9 31%
Readers by discipline Count As %
Medicine and Dentistry 7 24%
Unspecified 2 7%
Nursing and Health Professions 2 7%
Business, Management and Accounting 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 5 17%
Unknown 11 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 November 2017.
All research outputs
#17,919,786
of 23,007,887 outputs
Outputs from BMC Medical Education
#2,632
of 3,365 outputs
Outputs of similar age
#233,197
of 325,998 outputs
Outputs of similar age from BMC Medical Education
#81
of 89 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,365 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 325,998 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.