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[afro-nets] New global good for data quality review (DQR)

New DQR toolkit for health ministries and program planners

Health planners need to know what investments they should make to strengthen 
data quality and reporting systems. Stakeholders need to know what level of 
trust they can place in the data provided. A ministry of health and its 
implementing partners need to know the strengths and limitations of the data. 
All of this is because poor data quality can undermine claims of progress 
toward health objectives and may provide misleading results that hinder 
planning. Data quality review (DQR), therefore, is a crucial step in advance of 
health planning for program review and determining action needed to improve 

A new DQR toolkit is the result of collaboration between the World Health 
Organization (WHO); the Global Fund to Fight AIDS, Tuberculosis and Malaria 
(the Global Fund); Gavi, the Vaccine Alliance (Gavi); and MEASURE Evaluation, 
funded by the United States Agency for International Development (USAID). It 
was published by WHO. This toolkit is a holistic mechanism to assess and 
improve data quality for health management information systems and across 
health and disease programs.

The toolkit contains three modules: (1) Framework and metrics, (2) Desk review 
of data quality, and (3) Data verification and system assessment. It is 
designed to assess the quality of data generated by information system(s) based 
in health facilities. The objectives of the DQR are to:
  *   institutionalize a system for assessing quality of data, including 
routine monitoring of data, independent annual data quality reviews, and 
periodic in-depth assessments of priority health programs
  *   identify weaknesses in the data management system and interventions for 
system strengthening
  *   monitor data quality over time and the capacity to produce good-quality 

To access the Data Quality Review Toolkit, visit

MEASURE Evaluation is funded by the U.S. Agency for International Development 
(USAID) under the terms of cooperative agreement AID-OAA-L-14-00004 and 
implemented by the Carolina Population Center, University of North Carolina at 
Chapel Hill, in partnership with ICF International, John Snow, Inc., Management 
Sciences for Health, Palladium, and Tulane University. The views expressed in 
this e-mail do not necessarily reflect the views of USAID or the United States 

CPC Measure Evaluation
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