Background: Tue Businessweek magazine proposed lists of attending doctors in medical centers and regional hospitals based on the recommendation of hospital presidents, directors and supervisors of medical societies, and surveyed doctors. The current study aims to investigate the criteria existing in Businessweek¡¦s selection and factors related to the nomination of Taiwan¡¦s best 100 doctors. Material and Method: Subjects are the 667 doctors nominated in Businessweek¡¦s ¡§100 Especially Recommended Doctors¡¨ and ¡§600 Doctor-Recommended Doctors,¡¨ published respectively on May 5th and October 3rd, 2008. Biographical data of the subjects is firstly reorganized according to such items as specialty, hospital, education, professional training, experience and current status; introduction to specialties on websites of the hospitals where the subjects serve is also taken into consideration during data reorganization. Secondly, additional social network variables, including special positions in such non-hospital and non-school institutions as societies, foundations and publishing companies, are implemented. Collected data is analyzed by means of descriptive statistics, chi-square test and logistic regression. Results: Out of the 667 doctors, the 131 ones especially recommended by Businessweek tend to either serve in northern Taiwan or have graduated from National Taiwan University. In terms of social network, ¡§directors¡¨ of a department/branch/center are 3.082 times more likely to be nominated among the 131 than those who do not have the title, while those with special positions in medical societies are 5.314 times more likely to be nominated than those without any special position. Conclusion: The physicians not only training in the medical profession, but also need to expand social network.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0215111-065124 |
| Date | 15 February 2011 |
| Creators | Chen, Hui-Chun |
| Contributors | Yuan-Yi Chia, Shu-Chuan Yeh, Ying-Chun Li |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0215111-065124 |
| Rights | withheld, Copyright information available at source archive |
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