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The influence of hospitals, providers, and patients in birth outcomes following induction of labor.

机译:引产后医院,提供者和患者对分娩结局的影响。

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摘要

Strategies to optimize birth outcomes are a top priority in the current health care delivery system, where the examination and elimination of health disparities in childbearing women remain an important public health objective. Several studies have examined the relationships between socioeconomic status (SES), occupational status, ethnicity, insurance status, health care utilization, and educational level on birth outcomes, all known to influence gestational age and newborn mortality. Lesser-known variables are the influence of provider practice and hospital characteristics on birth outcomes. The purpose of this study was to evaluate several dimensions of birth outcomes employing birth certificate records and information available from provider licensing surveys for a one year period to calculate how much variation was due to differences in; (a) hospital organizational characteristics; (b) provider characteristics; and (c) patient socio-demographic characteristics. The Quality Health Outcomes Model by Mitchell et al. (1998) provided a valuable framework which allowed the analysis of the interplay between intervention, client, and system characteristics, and their impact on birth outcomes for Maricopa County in 2005.; The study design was a retrospective descriptive study using secondary data analysis with a dataset (Arizona HealthQuery, housed at the Center for Health Information and Research at Arizona State University) that included birth certificate information and the physician licensing renewal surveys. Secondary data analysis of this large administrative dataset provided the advantage of having a large sample size (62,816) of demographically diverse cases, thus minimizing concerns related to sample size and generalizability. Multiple regression and non-linear estimation models were deployed to control for confounding and effect modifying variables that could influence the relationship of labor induction on birth outcomes, including prolonged labor, use of forceps or vacuum extractors, cesarean births, Apgar scores, and newborn intensive care unit (NICU) admission.
机译:优化分娩结果的策略是当前医疗体系中的重中之重,在该体系中,检查和消除生育妇女的健康差异仍然是重要的公共卫生目标。几项研究检查了社会经济状况(SES),职业状况,种族,保险状况,医疗保健利用以及对出生结局的教育程度之间的关系,这些关系均已知会影响胎龄和新生儿死亡率。鲜为人知的变量是提供者的医疗习惯和医院特征对分娩结局的影响。这项研究的目的是使用出生证明记录和一年的提供者许可调查中提供的信息来评估出生结局的几个方面,以计算由于差异而产生的差异。 (一)医院的组织特点; (b)提供者的特征; (c)患者的社会人口统计学特征。 Mitchell等人的《质量健康成果模型》。 (1998年)提供了一个有价值的框架,可以分析干预,服务对象和系统特征之间的相互作用,以及它们对2005年马里科帕县的出生结局的影响。该研究设计是一项回顾性描述性研究,使用具有数据集(亚利桑那州立大学健康信息与研究中心的Arizona HealthQuery)进行二次数据分析,该数据集包括出生证信息和医生执照更新调查。此大型管理数据集的辅助数据分析提供了以下优点:在人口统计学上不同的案例中具有较大的样本量(62,816),从而最大程度地减少了与样本量和可概括性相关的担忧。部署了多元回归和非线性估计模型来控制混杂因素,并进行影响变量修正的影响,这些变量可能影响引产与分娩结果的关系,包括分娩时间长,使用镊子或抽真空器,剖宫产,Apgar评分和新生儿密集护理单位(NICU)入院。

著录项

  • 作者

    Wilson, Barbara Lynn.;

  • 作者单位

    The University of Arizona.$bNursing.;

  • 授予单位 The University of Arizona.$bNursing.;
  • 学科 Health Sciences Nursing.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 189 p.
  • 总页数 189
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 预防医学、卫生学;
  • 关键词

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