Overtime claiming among Australian doctors-in-training.

Autor: Coulshed A; Royal Prince Alfred Hospital, University of Sydney, 50 Missenden Road, Camperdown, NSW 2050, Australia., Fernandes B; Royal Prince Alfred Hospital, University of Sydney, 50 Missenden Road, Camperdown, NSW 2050, Australia., Hettige S; Nepean Hospital, University of Sydney, Derby Street, Kingswood, NSW 2747, Australia.
Jazyk: angličtina
Zdroj: Australian health review : a publication of the Australian Hospital Association [Aust Health Rev] 2022 Apr; Vol. 46 (2), pp. 163-169.
DOI: 10.1071/AH21323
Abstrakt: Objective To quantify patterns of overtime among doctors-in-training in New South Wales and to explore the reasons doctors-in-training cite for not claiming overtime worked. Methods A confidential online self-reporting survey was conducted of post-graduate doctors-in-training, working in hospitals in NSW, from post-graduate year 1 through to completion of specialist training. Questions sought to determine the average amount of overtime worked, overtime claiming patterns, and reasons why overtime was not claimed. Comparisons were made by level of training and specialty training pathway. Results A total of 1351 valid responses were received. Unrostered overtime was extremely common, as was underpayment for work completed. Though 73.5% of respondents reported working at least 5 h of unrostered overtime per fortnight, only 15.6% of respondents reported claiming all their unrostered overtime, and among those who did claim overtime, only 45.5% reported being paid the amount in full. Common reasons for not claiming overtime included workplace cultural expectations (37.0%), and overtime not falling under approved reasons (32.6%). There were statistically significant differences (P < 0.001) in all response categories between critical care, physician and surgical training pathways. Conclusions The survey data demonstrated a significant disconnect between expectations and reality of working hours among doctors-in-training. This is indicative of concerns regarding loss of income, impaired ability to plan workforce allocation due to hidden workload, and possibly impaired wellbeing.
Databáze: MEDLINE