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

被引：31

作者：

Ahanhanzo, Yolaine Glele ^{[1
,2
]}

Ouendo, Edgard-Marius ^{[3
]}

Kpozehouen, Alphonse ^{[1
]}

Leveque, Alain ^{[2
]}

Makoutode, Michel ^{[3
]}

Dramaix-Wilmet, Michele ^{[2
]}

机构：

[1] Univ Libre Bruxelles, Sch Publ Hlth, Ctr Res Epidemiol Biostat & Clin Res, B-1070 Brussels, Belgium

[2] Publ Hlth Reg Inst, Dept Epidemiol & Biostat, Ouidah, Benin

[3] Publ Hlth Reg Inst, Policies & Hlth Syst Dept, Ouidah, Benin

来源：

HEALTH POLICY AND PLANNING | 2015年 / 30卷 / 07期

关键词：

Health information system; quality control; small area statistics; PRISM FRAMEWORK; CARE; LQAS; MOZAMBIQUE; ACCURACY; AUDIT; TOOL;

D O I：

10.1093/heapol/czu067

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

Health 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.

引用

页码：837 / 843

页数：7

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