The Work Life Balance and Performance Effectiveness of Orthopaedics Fellows and Residents in Department of Orthopaedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University
DOI:
https://doi.org/10.33165/rmj.2024.47.2.267679Keywords:
Economy, Income, Marital status, Personal life, Social lifeAbstract
Background: Fellows and residents in the Department of Orthopaedics have to work throughout the training program. The work life balance and work performance may affect work efficiency.
Objectives: To study and compare work life balance and work performance between fellows and residents in the Department of Orthopaedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University.
Methods: Data collection was using a 54-item that divided into 3 parts. Part 1 collected information about the respondents: gender, marital status, and income level. Part 2 assessed work life balance in 4 dimensions: work, social life, personal life, and economy. Part 3 examined the work performance in terms of efficiency and work behavior. Use analysis of variance to analyze the differences of work life balance between resident and fellow, determine the correlation between work life balance and characteristics of respondents, including the correlation between work life balance and work performance by multiple regression analysis.
Results: The respondents included 10 fellows and 36 residents. Among them, 39 (84.80%) were male, 36 (80.00%) were single, and 33 (71.80%) had an income between ฿20,001 to ฿30,000. Female had significantly higher work life balance in terms of work and economy compared to male. Fellows had significantly higher work life balance in terms of personal life compared to residents (32.80 and 38.60 points respectively, P = .03). Respondents with an income range of ฿30,001 to ฿40,000 had higher work life balance in terms of work and personal life compared to those in other income levels. Respondents who were married had higher work behavior performance compared to those who were single, and the work life balance inversely correlated with income levels.
Conclusions: The study findings can be used to analyze the causes and trends of work performance annually and provide guidance for developing training policies that promote a good work life balance, leading to the highest work performance.
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