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全国助产士主导分娩数据登记系统的开发与验证:北美助产士联盟统计项目2.0数据集

Development and validation of a national data registry for midwife-led births: the Midwives Alliance of North America Statistics Project 2.0 dataset.

作者信息

Cheyney Melissa, Bovbjerg Marit, Everson Courtney, Gordon Wendy, Hannibal Darcy, Vedam Saraswathi

出版信息

J Midwifery Womens Health. 2014 Jan-Feb;59(1):8-16. doi: 10.1111/jmwh.12165. Epub 2014 Jan 30.

Abstract

INTRODUCTION

In 2004, the Midwives Alliance of North America's (MANA's) Division of Research developed a Web-based data collection system to gather information on the practices and outcomes associated with midwife-led births in the United States. This system, called the MANA Statistics Project (MANA Stats), grew out of a widely acknowledged need for more reliable data on outcomes by intended place of birth. This article describes the history and development of the MANA Stats birth registry and provides an analysis of the 2.0 dataset's content, strengths, and limitations.

METHODS

Data collection and review procedures for the MANA Stats 2.0 dataset are described, along with methods for the assessment of data accuracy. We calculated descriptive statistics for client demographics and contributing midwife credentials, and assessed the quality of data by calculating point estimates, 95% confidence intervals, and kappa statistics for key outcomes on pre- and postreview samples of records.

RESULTS

The MANA Stats 2.0 dataset (2004-2009) contains 24,848 courses of care, 20,893 of which are for women who planned a home or birth center birth at the onset of labor. The majority of these records were planned home births (81%). Births were attended primarily by certified professional midwives (73%), and clients were largely white (92%), married (87%), and college-educated (49%). Data quality analyses of 9932 records revealed no differences between pre- and postreviewed samples for 7 key benchmarking variables (kappa, 0.98-1.00).

DISCUSSION

The MANA Stats 2.0 data were accurately entered by participants; any errors in this dataset are likely random and not systematic. The primary limitation of the 2.0 dataset is that the sample was captured through voluntary participation; thus, it may not accurately reflect population-based outcomes. The dataset's primary strength is that it will allow for the examination of research questions on normal physiologic birth and midwife-led birth outcomes by intended place of birth.

摘要

引言

2004年,北美助产士联盟(MANA)的研究部门开发了一个基于网络的数据收集系统,以收集与美国助产士主导分娩的实践和结果相关的信息。这个系统被称为MANA统计项目(MANA Stats),源于人们普遍认识到需要更可靠的按预期分娩地点划分的结果数据。本文描述了MANA Stats出生登记处的历史和发展,并对2.0数据集的内容、优势和局限性进行了分析。

方法

描述了MANA Stats 2.0数据集的数据收集和审查程序,以及数据准确性评估方法。我们计算了客户人口统计学和助产士资质的描述性统计数据,并通过计算记录审查前和审查后样本关键结果的点估计值、95%置信区间和kappa统计量来评估数据质量。

结果

MANA Stats 2.0数据集(2004 - 2009年)包含24,848个护理过程,其中20,893个是针对分娩开始时计划在家中或分娩中心分娩的女性。这些记录中的大多数是计划在家中分娩(81%)。分娩主要由认证专业助产士接生(73%),客户大多是白人(92%)、已婚(87%)且受过大学教育(49%)。对9932条记录的数据质量分析显示,7个关键基准变量在审查前和审查后样本之间没有差异(kappa,0.98 - 1.00)。

讨论

参与者准确输入了MANA Stats 2.0数据;该数据集中的任何错误可能是随机的而非系统性的。2.0数据集的主要局限性在于样本是通过自愿参与获取的;因此,它可能无法准确反映基于人群的结果。该数据集的主要优势在于它将有助于按预期分娩地点对正常生理分娩和助产士主导分娩结果的研究问题进行考察。

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