Judgment Sampling: A Health Care Improvement Perspective
Judgment Sampling: A Health Care Improvement Perspective
复制标题
判断抽样：医疗保健改善的视角
DOI：
10.1097/qmh.0b013e31825e8806
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发表时间：
2012
影响因子：
1.2
通讯作者：
L. Provost
中科院分区：
文献类型：
--
作者：
R. Perla;L. Provost
抽样在质量改进工作中起着重要作用。随机抽样（大多数传统统计方法假设）是改善情况的例外。在大多数情况下，某种类型的“判断样本”用于从系统中收集数据。不幸的是，判断抽样并没有得到很好的理解。判断抽样依赖于那些具有过程和主题知识的人来选择有用的样本，以了解过程性能和随时间变化的影响。在许多情况下，目标是了解或改进特定的过程或系统，判断样本不仅是最方便和最经济的方法，而且在技术上和概念上是最合适的方法。这是因为改进工作是在真实的世界中，在涉及特定关注领域和焦点的复杂情况下进行的;在这些情况下，经典测量理论的假设既不能满足，也不应该试图满足它们。本文的目的是描述判断抽样及其在质量改进工作和研究中的重要性，重点是卫生保健环境。
Sampling plays a major role in quality improvement work. Random sampling (assumed by most traditional statistical methods) is the exception in improvement situations. In most cases, some type of “judgment sample” is used to collect data from a system. Unfortunately, judgment sampling is not well understood. Judgment sampling relies upon those with process and subject matter knowledge to select useful samples for learning about process performance and the impact of changes over time. It many cases, where the goal is to learn about or improve a specific process or system, judgment samples are not merely the most convenient and economical approach, they are technically and conceptually the most appropriate approach. This is because improvement work is done in the real world in complex situations involving specific areas of concern and focus; in these situations, the assumptions of classical measurement theory neither can be met nor should an attempt be made to meet them. The purpose of this article is to describe judgment sampling and its importance in quality improvement work and studies with a focus on health care settings.
DOI：
10.7551/mitpress/11457.001.0001
发表时间：
1982-02
期刊：
--
影响因子：
--
作者：
W. Deming
通讯作者：
W. Deming