Improving routine health data quality through the Data Quality Review Framework

Join a RHINO forum on Wednesday, September 28, on Data Quality Review (DQR), which provides a harmonized framework and approach to assess the quality of data reported routinely from health facilities.

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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 the World Health Organization (WHO), this effort is a multi-partner effort 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, programme planning, and monitoring and evaluation. The harmonized DQR framework enables countries to examine and address data quality through a holistic approach.

An upcoming RHINO forum will provide an introduction to the DQR framework and recommended metrics to measure data quality. Participants 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.

The DQR forum will be moderated by a trio of experts, each of whom brings a unique perspective and expertise. Learn more and register to attend

When Sep 27, 2017
from 10:00 AM to 11:30 AM
Where Online
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