• Journal of agricultural medicine and community health
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• v.46 no.1
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• pp.12-22
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• 2021

Backgrounds: Proper distribution and supply of physicians are factors that affect national health care systems. This study investigated the payment distribution levels and the determinants that influence the salary levels of hospital hired physicians. Methods: We analyzed 4,014 job advertisements posted on an internet invitation information site about physician recruitment from May 2016 to May 2019. We used univariate analysis to determine the relationship between average monthly salary and the other related variables. Multiple regression analysis was used to determine the predictors of physician salary level. Results: The average monthly salary for the service physician was 15.4 million won, highest for orthopedic surgeons with 22.24 million won, and lowest for diagnostic laboratory physician with 11.4 million won. The factors significantly associated with average monthly salary were; non-major specialty, housing provision, no severance pay, and incentives(p<0.05). Non-major specialty, incentives, and the regions were predictors of the average standardized monthly salary(p<0.05). Conclusion: Factors associated with average monthly salary as revealed by this study were; medical specialty, hospital regional location, housing provision, payment of retirement allowance, and payment of other incentives respectively. However, this study was a cross-sectional study, and further studies will be required.

• Journal of Science and Technology Studies
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• v.14 no.1
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• pp.139-175
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• 2014

For the past 20 years, expert groups and citizens in Korea have debated on the usefulness of personalized medicine. These debates were mainly focussed on the possibility of the promise - people mainly discussed whether it was a probable future or if it was just a hype. Following Hedgecoe and Tutton(2002) who argue that it is only a 'rhetorial device', we will analyze about 9,000 news media coverages that deal with personalized medicine. With these data, we will show that the same terminology of personalized medicine have been used very differently according to the time and people who use it. Our research will show that this term has both diachronic heterogeneity and synchronic equivocality. This has happened because of the innate lack that exists in our symbolic system. Policy and governance regarding new technology is important because they provide quilting point to those slippery term/signifiant. Also we would like to carefully suggest that we might be able to call this phenomena as signifiant-politics.