Established as a partnership in global health, the Global Fund works closely with a wide diversity of partners –implementing governments, donors, civil society, international development organizations, the private sector and communities living with and affected by the diseases. This partnership model actively supports country-owned approaches that develop and implement effective, evidence-based programs to respond to AIDS, tuberculosis and malaria.
The Global Fund uses three main mechanisms/tools to assess the quality of data and reporting systems at the country-level, namely the: (1) On-site Data Verifications (OSDVs), (2) Data Quality Audits (DQAs) and (3) M&E System Strengthening (MESS) tools.
An e-learning course providing background on the importance of data quality, its overall management at the Global Fund and an overview of the tools is available on the page ‘Learning about M&E and Data Quality at the Global Fund’. That course includes some basic training on the implementation of OSDVs.
Note: This course needs to be downloaded and run on a computer using Windows. Users at the Global Fund must download the files to the Temp directory on their OSDisk.
OSDV is a component of the LFA’s verification of implementation (VOI) and is required to be conducted at least once a year for each grant. A standard form is used for this exercise. The objective is to ensure the data quality of important programmatic results and to provide an overall statement on the quality of data within the grant portfolio.
The objective of DQA is to provide an in-depth assessment of data quality and M&E systems in selected grants and/or programs. To maintain independence, DQAs are conducted by external auditors contracted by the Global Fund. A standard DQA Tool, developed by the Global Fund & Partners is used to assess data accuracy, the reporting performance and the underlying M&E System of the grant.
A risk management approach is used in selecting the grants on which DQAs are performed.
The Routine Data Quality Assessment (RDQA) Tool is a simplified version of the DQA and allows Programs and projects to rapidly assess the quality of their data and strengthen their data management and reporting systems.
The objectives of the RDQA Tool are to:
VERIFY rapidly 1) the quality of reported data for key indicators at selected sites; and 2) the ability of data-management systems to collect, manage and report quality data.
DEVELOP an action plan to implement corrective measures for strengthening the data management and reporting system and improving data quality.
MONITOR over time capacity improvements and performance of the data management and reporting system to produce quality data (notably through repeat use of the RDQA).
Routine Data Quality Audit Tooldownload [ XLS - 2 MBEnglish ]
RDQA tool Guidelinedownload [ PDF - 678 KBEnglishFrançais ]
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