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何时才够?理解并解决卫生服务研究中的样本量问题。

When is enough, enough? Understanding and solving your sample size problems in health services research.

作者信息

Pye Victoria, Taylor Natalie, Clay-Williams Robyn, Braithwaite Jeffrey

机构信息

Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Level 6, 75 Talavera Road, Macquarie University, Sydney, NSW, 2109, Australia.

出版信息

BMC Res Notes. 2016 Feb 12;9:90. doi: 10.1186/s13104-016-1893-x.

Abstract

Health services researchers face two obstacles to sample size calculation: inaccessible, highly specialised or overly technical literature, and difficulty securing methodologists during the planning stages of research. The purpose of this article is to provide pragmatic sample size calculation guidance for researchers who are designing a health services study. We aimed to create a simplified and generalizable process for sample size calculation, by (1) summarising key factors and considerations in determining a sample size, (2) developing practical steps for researchers-illustrated by a case study and, (3) providing a list of resources to steer researchers to the next stage of their calculations. Health services researchers can use this guidance to improve their understanding of sample size calculation, and implement these steps in their research practice.

摘要

卫生服务研究人员在样本量计算方面面临两个障碍

难以获取的、高度专业化或过于技术性的文献,以及在研究规划阶段难以获得方法学家的支持。本文旨在为正在设计卫生服务研究的人员提供实用的样本量计算指导。我们旨在通过以下方式创建一个简化且可推广的样本量计算流程:(1)总结确定样本量时的关键因素和注意事项;(2)为研究人员制定实际步骤——通过一个案例研究进行说明;以及(3)提供一份资源清单,引导研究人员进入计算的下一阶段。卫生服务研究人员可以利用本指导来加深对样本量计算的理解,并在其研究实践中实施这些步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a713/4751721/1d82367bca76/13104_2016_1893_Fig1_HTML.jpg

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