Optimising rotas, not doctors’ behaviour, will improve safety

Cappuccio, Francesco P.

doi:10.1136/bmj.k1663

Cited by 1 publication

(2 citation statements)

References 6 publications

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“…In China, most tertiary-level hospitals are understaffed and overwhelmed, with 91.8% of doctors being required to work overtime [33]. These doctors thus experience considerable work-related tiredness, fatigue, and cognitive impairment due to longer working hours [34]. In the UK, working time regulations have significantly reduced these burdens [20].…”

Section: Discussionmentioning

confidence: 99%

“…That is, when decision makers were provided with a 30% increment in income and ensured that their working hospital would be located in a downtown area, then the utility generated for doctors through the 3 h plan was not any lower than that generated by some other 1 or 2 h plans. Nonetheless, given the well-documented detrimental effects of long working hours on health in the medical profession [34], utility calculations should also consider other health-related attributes.…”

Section: Discussionmentioning

confidence: 99%

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Doctor’s Preference in Providing Medical Service for Patients in the Medical Alliance: A Pilot Discrete Choice Experiment

Zhou

Wang

2020

IJERPH

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This cross-sectional survey study explored whether doctors in Guangdong, China preferred to provide extra healthcare services within the context of their medical alliances (MAs). Specifically, a discrete choice experiment (DCE) was conducted to investigate whether doctors preferred to provide extra services at low-tier hospitals within their MAs. A literature review, focus group interview, and expert group discussion resulted in three main attributes (i.e., working time, income, and hospital location) and corresponding levels, which were combined to create 24 profiles that were randomly presented to participants. A conditional logit model was then employed to calculate utility scores for all profiles. A total of 311 doctors completed the DCE questionnaire. The coefficients for each level within the three attributes were ordered and found to be statistically significant. Working time had the greatest influence on utility scores, increasing by one hour per week (beta = 1.4, odds ratio (OR) = 4.07, p < 0.001), followed by income, which increased by 30% per month (beta = 1.19, OR = 3.3, p < 0.001). The utility scores for all profiles ranged between −0.27 and 3.07. Findings indicated that participants made trade-offs with respect to providing extra services within their MAs. Furthermore, utility varied between different subpopulations.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%