A specialty imbalance can lead to many problems. Chang et al contended that monensin the unwillingness of young physicians to choose unpopular specialties causes insufficient labor supply in those specialties, ages the physician structure, generates a medical skills gap, reduces the ability to transfer experience, and lowers care quality. Medical specialist training begins at the student level. When medical students choose a specialty, their choice affects their career paths and the future medical services and quality provided by the medical industry. The considerations regarding factors influencing medical specialty selection should warrant special attention from medical educators for the future long-term development of the medical industry and for the well-being of the public.
By understanding personality traits, students can be provided with appropriate support during counseling and assistance in specialty selection and initiating career planning earlier. Schumacher (1963) and Yufit (1969) have explored the relationship between personality traits and medical specialty selection. Haley (1972) examined the association between personality traits and the performance of medical students during training. Borges (2001) asserted that personality traits are a vital factor influencing medical specialty selection. Thus, we explored and analyzed the relationship between personality traits and medical specialty preference.
Based on the statistical records of the Taiwan Medical Association, the authors noted that from 2002 to 2009, internists led all specialties, comprising approximately 22–23% of all specialists. Practitioners of general medicine ranked second, comprising approximately 9–11% of all specialists; surgeons ranked third, comprising approximately 9–10%; pediatricians ranked fourth, comprising approximately 7–8%; and practitioners of family medicine ranked fifth, comprising approximately 6–7%. From 2002 to 2009, the number of specialists in general medicine, surgery, and obstetrics and gynecology (OBGYN) decreased yearly, but the number of specialists in family medicine, psychiatry, and emergency medicine increased yearly. Yang and Tsai observed that among the specialties chosen by medical students in 1999, the five leading choices were internal medicine, surgery, dermatology, pediatrics, and family medicine. Meanwhile, Liu et al identified the five leading specialties in 2000 as internal medicine, pediatrics, surgery, family medicine, and dermatology. Therefore, the five most popular specialties of the years were similar, except for OBGYN, which was pushed out from fifth place.
Materials and methods
The participants were 4th- through 7th-year medical students who were enrolled at the College of Medicine at Chang Gung University between 2004 and 2007. Overall, 358 students participated in the study.
Because the EPPS can help the respondents explore their career interests, parasites is suitable and beneficial in college-student vocational or educational counseling. In addition, the traits measured by the EPPS possess neutral implications, reducing the likelihood of respondents purposely distorting their answers. Thus, the EPPS can be used to objectively assess the traits of the respondents. Psychology Press obtained duly authorized in writing from Allen L. Edwards was prepared in April 2005 in Taiwan. Using the Spearman–Brown split-half reliability adjustment, we calculated the split-half reliability of the whole test, and adjusted the split-half reliability of obedience to 0.56; the others were increased to 0.64 or higher. The criterion-related validity of the EPPS (Chinese version) of the 15 variables and 75 questions measuring between criteria is moderate. The reliability of the Chinese version of the EPPS ranges from acceptable to favorable; therefore, this study used the Chinese version of the EPPS to assess the personality traits of medical students.
The survey took about 10 minutes to explain. The students took about 50 minutes to answer the EPPS and 10 minutes to fill in basic information. It took approximately 3 weeks to complete the whole survey process. After the questionnaires had been completed and collected, the results were entered into a computer and analyzed using SPSS version 16.0 (SPSS Inc., Chicago, IL, USA). This study conducted descriptive statistical analysis, t tests, and analysis of variance to analyze various differences between factor groups.