We invite you to participate in our next RHINO Forum: Improving routine health data quality through the Data Quality Review (DQR) Framework
Date: Wednesday, September 27
10:00-11:30 AM EST (GMT-4) | 16:00 – 17:30 CAT (GMT+2)
Factors that can affect the quality of health facility data are often rooted in a system issue. Consequently, addressing data quality also must be done through a system lens. Data Quality Review (DQR) provides a harmonized framework and approach to assess the quality of data reported routinely from health facilities. Led by World Health Organization (WHO), this multi-partner effort aims to integrate existing data quality assurance guidelines and mechanisms under one framework. The goal of the DQR is to contribute to the improvement of the quality of data that countries use to review progress and performance, such as annual health sector reviews, program planning, and monitoring and evaluation. The harmonized DQR framework enables countries to examine and address data quality through a holistic approach.
During this RHINO forum, we will first provide an introduction to the DQR framework and recommended metrics to measure data quality. We will also discuss country implementation, challenges, and the way forward. Immediately following the presentation will be a facilitated conversation, open to all participants. Questions will be shared with attendees beforehand. To sign up, please register here. After the event, the forum questions will also be posted on the RHINO Forum discussion board for anyone interested in continuing the discussion.
The DQR forum will be led by a trio of experts, each of whom brings a unique perspective and expertise:
Kavitha Viswanathan has over 15 years of experience in M&E of health programs and performance measurement. She works at the Department of Information, Evidence and Research at the WHO in Geneva. Her work focuses on strengthening country-led platforms for monitoring and evaluation of national health strategies and programs. She has led the development of tools and standards for strengthening data quality, standards for routine health information systems, and assessing the readiness of facilities to deliver key life-saving services. With a PhD in International Health and a dual Masters in Public Health and International Affairs. She has previously worked for the World Bank and Johns Hopkins University.
Bob Pond is a public health physician who has focused on strengthening of health information systems. He was a Senior Technical Officer with the Health Metrics Network from 2005 to 2009. More recently, he has worked as a consultant for the WHO Department of Information, Evidence and Research to support countries with efforts to strengthen the quality, analysis and use of routine data.
David Boone is an epidemiologist at John Snow, Inc (JSI), based in San Francisco, California. He works on the MEASURE Evaluation Project to strengthen the capacity of developing country health programs to collect and use quality population and health data. His current projects include assisting in the development of methods and tools to improve the performance of routine health information systems. He is the Technical Director at JSI for a Global Fund mechanism to conduct health facility assessments for service availability and readiness, data quality and quality of care. He has worked in Nigeria for polio eradication, in South Sudan for trypanosomiasis treatment and control, and in Benin for guinea worm eradication. In the U.S. he has worked at state and county level as an infectious disease epidemiologist. David received his PhD in Epidemiology from Tulane University in New Orleans, LA.