| Title |
Out-migration and attrition of physicians and dentists before and after EU accession (2003 and 2011): the case of Hungary
|
|---|---|
| Published in |
HEPAC Health Economics in Prevention and Care, December 2016
|
| DOI | 10.1007/s10198-016-0854-6 |
| Pubmed ID | |
| Authors |
Júlia Varga |
| Abstract |
This paper employs a large-scale, individual-level, panel dataset to analyse the effect of EU accession on the probability of out-migration on the part of Hungarian physicians and dentists between 2003 and 2011. The study uses event history modelling and competing risk models. The results show that EU accession did not at the time affect the probability of out-migration while after the end of the transitional period of restrictions on the free movement of labour from the new EU member states to Austria and Germany, the probability of doctors' migration increased considerably. Relative wages and peer pressure also exercise a significant role in the out-migration decisions of young medical doctors. We also find that more than half of those medical doctors who left the country during the observation period returned some time later. The data furthermore suggest a massive flow of doctors to domestic jobs outside the health care system. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Master | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Other | 3 | 9% |
| Other | 5 | 15% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 7 | 21% |
| Medicine and Dentistry | 7 | 21% |
| Nursing and Health Professions | 3 | 9% |
| Business, Management and Accounting | 3 | 9% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 8 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 18 October 2017.
All research outputs
#4,362,672
of 25,368,786 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#269
of 1,303 outputs
Outputs of similar age
#77,016
of 416,019 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#12
of 30 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 78% of its peers.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.