Survey results of job status of residents in a standardized residency training program
Autor: | Xiaoming Huang, Yun Zhang, Xuejun Zeng, Ti Shen, Hang Li |
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Rok vydání: | 2019 |
Předmět: |
Adult
Male China medicine.medical_specialty Mentoring system 020205 medical informatics Job burnout lcsh:Medicine Survey result 02 engineering and technology Job Satisfaction Education Young Adult 03 medical and health sciences Work time 0302 clinical medicine Quality of life Surveys and Questionnaires Work Schedule Tolerance Internal Medicine 0202 electrical engineering electronic engineering information engineering Humans Medicine 030212 general & internal medicine Burnout Professional lcsh:LC8-6691 Medical education lcsh:Special aspects of education business.industry lcsh:R Internship and Residency Mentoring Curriculum setting General Medicine Working time Work pressure Job Status Standardized residency training program (SRTP) Family medicine Quality of Life Female business Residency training Research Article |
Zdroj: | BMC Medical Education, Vol 19, Iss 1, Pp 1-10 (2019) BMC Medical Education |
ISSN: | 1472-6920 |
DOI: | 10.1186/s12909-019-1718-4 |
Popis: | Background The history of standardized residency training programs (SRTP) in China is not long. As one of the top medical colleges in China, Peking Union Medical College Hospital (PUMCH) has the history and experience of the oldest SRTP in the country. Understanding the job status of PUMCH residents would be conducive to a better development of the national resident training in the future. Methods This study analyzed the demographic information, job burnout scale, working time, and job status of postgraduate year 1–3 residents that took part in the SRTP of the Department of Internal Medicine of PUMCH in August 2017. Results The survey data of 159 residents (including PUMCH residents, local-resident-trainees, and clinical postgraduates) were collected. The average working time was 11.38 ± 1.55 h per day and 83.28 ± 8.80 h per week. The average night shift frequency was 4.74 ± 0.59 days. There were 100 residents (62.2%) with symptoms of job burnout, which had a certain correlation with working time (p |
Databáze: | OpenAIRE |
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