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Health behavior, occupational stress, and stress resiliency in research administrators working in the academic environment.

机译:在学术环境中工作的研究管理员的健康行为,职业压力和压力弹性。

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摘要

Nosocomial infections vex infection control practitioners (ICP) in hospitals. Recent use and abuse of antibiotics in clinical settings caused a forced evolution of these infections. There are opportunistic pathogens such as methicillin-resistant Staphylococcus aureus (MRSA) that pose a significant health risk to people who seek treatment in hospitals. The purpose of this study is to examine the hospital rates of MRSA infection against aggregate level community data to examine whether specific environmental variables such as demographics and type of community have more of an effect than size and type of the hospital under question. Risk factors including patient demographics and regional differences were described. The study is grounded in the chain of infection theory and sought to answer what factors are more predictive of higher levels of MRSA infection at a hospital site. The data used to answer this question were collected in a cross-sectional study that examined infection rates using a multilinear regression and hierarchical linear regression to determine which factors correlated more strongly with higher rates of MRSA infection. The hospital level study found bed count to be most predictive of infections, but the individual level analyses showed community demographics, mean income, and concentration of urban environment were being confounded, and admission source can be predictive of MRSA infection at the hospital level. The potential positive social change resulting from this research could promote awareness about hospital and environmental factors that contribute to the growth of MRSA infection. As awareness is promoted, hospitals at most risk could take extra steps to ensure their disease burden is lessened.
机译:医院内的医院感染烦恼感染控制从业人员(ICP)。在临床环境中最近使用和滥用抗生素导致了这些感染的被迫发展。有机会病原体,例如耐甲氧西林的金黄色葡萄球菌(MRSA),会对在医院就诊的人们构成重大健康风险。这项研究的目的是根据总体水平的社区数据检查医院MRSA感染率,以检查特定的环境变量(如人口统计学和社区类型)是否比所讨论医院的规模和类型具有更大的影响。描述了包括患者人口统计学特征和区域差异在内的风险因素。该研究以感染链理论为基础,试图回答哪些因素可以更好地预测医院现场MRSA感染的水平。用于回答该问题的数据是在一项横断面研究中收集的,该研究使用多线性回归和层次线性回归检查了感染率,以确定哪些因素与较高的MRSA感染率更密切相关。医院水平的研究发现床位数最能预测感染,但个人水平分析显示社区人口统计学,平均收入和城市环境的集中度令人困惑,入院来源可以预测医院水平的MRSA感染。这项研究可能带来的积极的社会变革可能会提高人们对医院和环境因素的认识,这些因素会导致MRSA感染的增长。随着意识的提高,风险最大的医院可以采取额外措施来确保减轻疾病负担。

著录项

  • 作者单位

    Walden University.;

  • 授予单位 Walden University.;
  • 学科 Health Sciences Occupational Health and Safety.;Gender Studies.;Health Sciences Public Health.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 203 p.
  • 总页数 203
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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