文章基本信息

标题：New tools for evaluating LQAS survey designs
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作者：Lauren Hund
期刊名称：Emerging Themes in Epidemiology
印刷版ISSN：1742-7622
电子版ISSN：1742-7622
出版年度：2014
卷号：11
期号：1
页码：2
DOI：10.1186/1742-7622-11-2
语种：English
出版社：BioMed Central
摘要：Lot Quality Assurance Sampling (LQAS) surveys have become increasingly popular in global health care applications. Incorporating Bayesian ideas into LQAS survey design, such as using reasonable prior beliefs about the distribution of an indicator, can improve the selection of design parameters and decision rules. In this paper, a joint frequentist and Bayesian framework is proposed for evaluating LQAS classification accuracy and informing survey design parameters. Simple software tools are provided for calculating the positive and negative predictive value of a design with respect to an underlying coverage distribution and the selected design parameters. These tools are illustrated using a data example from two consecutive LQAS surveys measuring Oral Rehydration Solution (ORS) preparation. Using the survey tools, the dependence of classification accuracy on benchmark selection and the width of the ‘grey region’ are clarified in the context of ORS preparation across seven supervision areas. Following the completion of an LQAS survey, estimation of the distribution of coverage across areas facilitates quantifying classification accuracy and can help guide intervention decisions.
关键词：Acceptance sampling ; LQAS ; Survey design