Data Quality Assessment (DQA) for HIV Program Indicators in Burundi: Final Report

Boone, D., Bisore, S., Hypax, M. Rwantabagu, J.P., & Ly, M.

Getting good information about how many people are in treatment for HIV/AIDS is important for any country. In Burundi, a recent study assessed available client data at a sample of facilities providing antiretroviral therapy. The study used the Lot Quality Assurance Sampling (LQAS) Triage System method, with a goal to improve accuracy and reliability of future data and provide recommendations for ways to improve data quality.

The primary objective of the DQA was to investigate data quality issues concerning the number of people currently receiving antiretroviral therapy (ART) at a sample of health facilities representing 80 percent of patients actively on treatment in Burundi. The activity aimed to improve the accuracy and reliability of future data submissions to PEFPAR and the Ministry of Health (MOH). The assessment follows a pilot test in November 2018 to validate new assessment tools and methods. The assessment aimed to validate reported values for priority indicators at 147 sites, including sites supported by the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR).

In addition, the assessment aimed to validate a proposed methodology for evaluating the quality of data in source documents, and program quality indicators. The so-called Lot Quality Assurance Sampling (LQAS) Triage System is a methodology to sample patient records within health facilities to gauge the completeness of the data, as well as the coherence of data between different data sources. 

This report presents the findings of the assessment, which include systematic data quality problems affecting “Currently on ART” (TX_CURR), “Newly initiated on ART” (TX_NEW), and “Percentage of Viral Load Suppressed” (TX_PVLS). The report provides recommendations for actions that can be undertaken independently to improve data quality.

October 2, 2019
Year of publication
2019
Resource types
Reports and Fact sheets
Countries
Tags
data quality assessment, data quality, TX_CURR, TX_NEW, TX_PVLS, LQAS, Lot Quality Assurance Sampling

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