title: Lot quality assurance sampling techniques in health surveys in developing countries: advantages and current constraints.
abstract: Traditional survey methods, which are generally costly and time-consuming, usually provide information at the regional or national level only. The utilization of lot quality assurance sampling (LQAS) methodology, developed in industry for quality control, makes it possible to use small sample sizes when conducting surveys in small geographical or population-based areas (lots). This article describes the practical use of LQAS for conducting health surveys to monitor health programmes in developing countries. Following a brief description of the method, the article explains how to build a sample frame and conduct the sampling to apply LQAS under field conditions. A detailed description of the procedure for selecting a sampling unit to monitor the health programme and a sample size is given. The sampling schemes utilizing LQAS applicable to health surveys, such as simple- and double-sampling schemes, are discussed. The interpretation of the survey results and the planning of subsequent rounds of LQAS surveys are also discussed. When describing the applicability of LQAS in health surveys in developing countries, the article considers current limitations for its use by health planners in charge of health programmes, and suggests ways to overcome these limitations through future research. It is hoped that with increasing attention being given to industrial sampling plans in general, and LQAS in particular, their utilization to monitor health programmes will provide health planners in developing countries with powerful techniques to help them achieve their health programme targets.
authors.affiliation: Research Division, Institute of Nutrition Research, Lima, Peru.
authors.forename: C F
authors.initials: CF
authors.lastname: Lanata
authors.forename: R E
authors.initials: RE
authors.lastname: Black
mesh_terms: D003906:Developing Countries; D006285:Health Planning; D006298:Health Services Administration; D006306:Health Surveys; D006801:Humans; D011785:Quality Assurance, Health Care / Q000379:methods*; D012494:Sampling Studies