基于美国的微创性妇科手术奖学金计划的人口统计和特征 项目主任:2023年描述性分析
Rabab Shahid Isa1, Jared Moon1, Marian Yvette Williams-Brown1
1Department of Women's Health, Division of Minimally Invasive Gynecologic Surgery, University of Texas at Austin Dell Medical School, Austin, Texas (all authors).
Journal of minimally invasive gynecology
|March 25, 2024
概括
最少侵入性妇科手术 (MIGS) 奖学金计划主任显示性别平等的代表性,与其他外科领域不同. 然而,男性导演年龄较大,学术影响力 (希尔什指数) 比女性导演高.
科学领域:
- 妇科 妇科医生 妇科
- 外科教育的外科教育
- 医学子专业 医学子专业
背景情况:
- 奖学金计划主任 (FPDs) 对于培训至关重要,但他们的人口统计数据未得到充分研究.
- 最少侵入性妇科手术 (MIGS) 是一个不断增长的子专业.
- 了解FPD特征可以为招聘和指导策略提供信息.
研究的目的:
- 描述MIGS FPDs的人口统计和学术活动.
- 为了比较雄性和雌性MIGS FPD之间的特征.
主要方法:
- 对2023年美国AAGL附属的美国MIGS项目进行了回顾性横截面研究.
- 从节目主任网站上的公开来源收集的数据.
- 分析了人口统计数据 (性别,教育,任命年) 和学术指标 (出版物,希尔什指数).
主要成果:
- 在54名MIGS FPD中,51.85%是女性,48.15%是男性.
- 男性FPD比女性FPD年龄较大,并且在较晚的年龄被任命 (p < .05).
- 男性FPD的希尔施指数明显高于女性FPD (p < .05).
结论:
- 在FPD中,MIGS奖学金表现出独特的性别平等,与男性主导的外科领域形成鲜明对比.
- 显著比例的MIGS FPD完成了MIGS以外的奖学金,表明了不同的培训途径.
- 男性和女性FPD之间的学术贡献 (希尔什指数) 的差异需要进一步调查.
相关概念视频
Population Growth
23.2K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
23.2K
Study Design in Statistics
7.5K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
7.5K
Analysis of Population Pharmacokinetic Data
996
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
996
Overview of Biostatistics in Health Sciences
4.8K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
4.8K
Study Designs in Epidemiology
1.6K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.6K
Statistical Methods for Analyzing Epidemiological Data
1.3K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.3K


