Data quality assessment in the routine health information system: an application of the Lot Quality Assurance Sampling in Benin

AuteurGLELE AHANHANZO, YOLAINE
AuteurOUENDO, EDGARD MARIUS DONA
AuteurKPOZEHOUEN, ALPHONSE
AuteurLEVEQUE, ALAIN
AuteurMAKOUTODE, MICHEL
AuteurWILMET DRAMAIX, MICHELE
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2015
ResumeHealth information systems in developing countries are often faulted for the poor quality of the data generated and for the insufficient means implemented to improve system performance. This study examined data quality in the Routine Health Information System in Benin in 2012 and carried out a cross-sectional evaluation of the quality of the data using the Lot Quality Assurance Sampling method. The results confirm the insufficient quality of the data based on three criteria: completeness, reliability and accuracy. However, differences can be seen as the shortcomings are less significant for financial data and for immunization data. The method is simple, fast and can be proposed for current use at operational level as a data quality control tool during the production stage.
DOI10.1093/heapol/czu067
Autre identifiantBECDB-2279
URIhttps://dspace.uac.bj/handle/123456789/2328
Languefr
Fait partie deHealth Policy and Planing
SujetHealth Information System
SujetQuality Control
Sujetsmall area statistics
TitreData quality assessment in the routine health information system: an application of the Lot Quality Assurance Sampling in Benin
TypeArticle

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