长时间的每周工作时间与居民的自学时间之间的关联:一个横截面研究
Kazuya Nagasaki1, Yuji Nishizaki2, Tomohiro Shinozaki3
1Department of Internal Medicine, Mito Kyodo General Hospital, University of Tsukuba, Ibaraki 310-0015, Japan.
Postgraduate medical journal
|June 2, 2023
概括
医疗人员每周工作时间较长 (DHs) 将更多的时间用于自我学习 (SST). 新的DH法规可能会降低居民的SST,需要制定促进自我学习的策略.
科学领域:
- 医学教育研究 医学教育研究
- 卫生政策和法规 卫生政策和法规
- 住院医生培训 住院医生培训
背景情况:
- 日本即将出台的每周80小时值班时间 (DHs) 规定,旨在改善住院医生的福祉.
- 减少DHs对居民自学时间 (SST) 的影响尚不清楚.
- 了解DHs-SST关系对于有效的住院培训至关重要.
研究的目的:
- 在日本的医疗居民中调查每周值班时间 (DHs) 和自学时间 (SST) 之间的联系.
- 根据居民工作条件和教育支持的政策决定.
- 确定影响居民自学行为因素.
主要方法:
- 全国通用医学培训考试候选人的横截面研究.
- 调查问卷收集了每日SST和每周DHs的数据.
- 带有概括估计方程的比例概率回归模型分析了这种关联,并考虑了医院的变化.
主要成果:
- 多变量分析显示,每周工作≥80小时的居民比每周工作60-70小时的居民有更长的SST.
- 与那些每周工作60-70小时的人相比,每周工作50小时以下的居民报告的SST较少.
- 与较长的SST相关的因素包括女性性别,研究生年,内科志向,社区医院附属,学术参与和福祉.
结论:
- 长时间的值班时间与居民自学时间的增加有关.
- 未来的上班时间限制可能会无意中减少居民自学时间.
- 需要采取积极的措施来支持和鼓励自学,尽管潜在的DH减少.
更多相关视频
10:38Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
Published on: January 16, 2019
20.3K
12:22Mindfulness in Motion MIM: An Onsite Mindfulness Based Intervention MBI for Chronically High Stress Work Environments to Increase Resiliency and Work Engagement
Published on: July 1, 2015
23.7K
相关概念视频
Longitudinal Research
12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Observational Studies
8.8K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.8K
Longitudinal Studies
191
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
191
Cross-Sectional Research
11.4K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.4K
Data Collection by Observations
12.1K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.1K
