Review of Lot Quality Assurance Sampling, Methodology and its Application in Public Health

Abstract

Rapid collection of data is of utmost importance in monitoring and evaluation of activities of public health importance. Among others techniques, 30 by 7 cluster sampling and Lot quality assurance sampling(LQAS) methods have been described in literature for this purpose. However, LQAS is often sparingly used in most settings, undermining its importance as a effective epidemiological tool in public health practice. To some extent LQAS is inadequately understood and even less emphasized method, especially in the postgraduate teaching and training. In this paper we aim to explain the use, method and application of LQAS in public health settings as well as discuss common pitfalls to avoid while planning and drawing inferences based on data collected through LQAS.

The Early Impacts of COVID-19 on Food Security and Livelihood in Vietnam

“…A prior survey was conducted in the 35 NGO-supported communities using a lot quality assurance sampling (LQAS) methodology (Rath and Solanki, 2019). In each of 35 communities, depending on the size of supervision areas, either 95 or 114 households with children under 18 years old were selected to participate.…”

Lot Quality Assurances Sampling (LQAS), an Efficient and Rapid Assessment Technique Quality Assurance and Public Health Studies

“…All worldwide organizations including UNICEF, WHO, World Bank use it. The main application of LQAS is to determine whether the subject’s lots are acceptable or not [ 2 ].…”

Carencias y variabilidad en la calidad de la atención a neonatos hospitalizados en México. Estudio transversal en 28 hospitales públicos

“…ceptance Sampling (LQAS). [22][23][24] Para esta metodología se establecen estándares de cumplimiento (buena calidad) y nivel de cumplimiento (umbral); se determina que está presente el estándar de buena calidad si se encuentra un mínimo preestablecido de cumplimientos del indicador en muestras que pueden ser relativamente pequeñas (<30 casos). Se consideraron los siguientes supuestos: 1) verificar para cada indicador, por hospital, la presencia de alguno de los siguientes dos estándares de calidad: (i) estándar de cumplimiento 75%, umbral 40%; (ii) estándar de cumplimiento de 95%, umbral 70%; 2) establecer decisión de aceptación de cumplimiento con error α≤0.05 y β≤0.10.…”