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良好的测量有助于开展良好的改进工作。

Good measurement for good improvement work.

作者信息

Nelson Eugene C, Splaine Mark E, Plume Stephen K, Batalden Paul

机构信息

Dartmouth Medical School, Lebanon, NH, USA.

出版信息

Qual Manag Health Care. 2004 Jan-Mar;13(1):1-16. doi: 10.1097/00019514-200401000-00001.

DOI:10.1097/00019514-200401000-00001
PMID:14976903
Abstract

PURPOSE

To provide guidance on using measurement to support the conduct of local quality improvement projects that will strengthen the evaluation of results and increase their potential for publication.

TARGET GROUP

Individuals leading quality improvement efforts who wish to enhance their use of measurement.

PROCEDURES TO PROMOTE GOOD MEASUREMENT

Eleven procedures are offered to promote intelligent measurement in quality improvement research that may become publishable: 1. Start with an important topic 2. Develop a clear aim statement 3. Turn the aim statement into key questions 4. Develop a theory about causes and effects, process changes and predictable sources of variation 5. Construct a research design and accompanying dummy data displays to answer your primary research questions 6. Develop and use operational definitions for each variable needed to make your dummy data displays 7. Design a data collection plan to gather information on each variable that will enable you to generate reliable, valid, and sensitive measures related to each research question 8. Pilot test the data collection plan, construct preliminary data displays, and revise your methods based on what you learn 9. Stay close to the data collection process as the data plan goes from idea to execution 10. Perform data analysis and display results in a way that answers your key questions. 11. Review and document the strengths and limitations of your measurement work and use this knowledge to guide intelligent interpretation of the observed results.

摘要

目的

提供有关运用测量来支持开展地方质量改进项目的指导,以强化对结果的评估并增加其发表潜力。

目标群体

希望加强测量运用的质量改进工作负责人。

促进良好测量的步骤

提供了11个步骤以促进质量改进研究中的明智测量,这些研究可能具有发表价值:1. 从一个重要主题入手 2. 制定清晰的目标陈述 3. 将目标陈述转化为关键问题 4. 形成关于因果关系、过程变化和可预测变异来源的理论 5. 构建研究设计及配套的虚拟数据展示,以回答主要研究问题 6. 为生成虚拟数据展示所需的每个变量制定并使用操作定义 7. 设计数据收集计划,收集每个变量的信息,使你能够生成与每个研究问题相关的可靠、有效且灵敏的测量指标 8. 对数据收集计划进行预试验,构建初步数据展示,并根据所学内容修订方法 9. 随着数据计划从想法变为执行,密切关注数据收集过程 10. 进行数据分析,并以回答关键问题的方式展示结果。11. 审查并记录测量工作的优势和局限性,并利用这些知识指导对观察结果的明智解读。

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