PANAGORA GROUP, INC.
The Health Portfolio Data Quality Assessment Plan and Tools was developed by Panagora Group for the USAID/Philippines Collaborating, Learning and Adapting for Improved Health (CLAimHealth) Activity.
2019 · 49 pages

Abstract
The plan aims to improve the quality of health data in the Philippines, which is essential for informed decision-making and effective program implementation. The plan is based on the USAID Data Quality Standards, which emphasize the importance of accurate, reliable, and timely data. The standards also highlight the need for data quality assessments to identify areas for improvement and ensure that data meets the required standards. The plan outlines a comprehensive approach to data quality assessment, which includes selecting indicators, notifying stakeholders, conducting a desk review, interviewing key personnel, and accomplishing a data quality checklist. The plan also emphasizes the importance of ethical considerations, such as ensuring the confidentiality and integrity of data. The plan is organized into several sections, including an introduction and background, an overview of data quality assessment, priority indicators for the health portfolio DQA, and a detailed approach to conducting the DQA. The plan also includes annexes that provide additional information on pretesting the DQA tools, the USAID DQA checklist, and other relevant tools and templates. The plan is designed to be used by USAID staff, implementing partners, and other stakeholders involved in health program implementation in the Philippines. The plan provides a framework for conducting data quality assessments and improving the quality of health data in the country. The plan was developed in collaboration with the TB Platforms activity and health facilities in Marawi City, which provided valuable information and feedback during the pilot testing of the DQA tools. The plan is an important resource for improving the quality of health data in the Philippines and ensuring that data meets the required standards.
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Classification

USAID DEC