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Data Quality Management Model (Updated)
[Journal of AHIMA 83, no.7 (July 2012): 62-67.]This article discusses the elements and importance of health information systems for improved vital statistics.
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Assessing the Reliability of Hospital-based Cause-of-death Statistics: Evidence-based Guidelines for Country Application
[University of Queensland, School of Population Health]This report provides findings from a large number of studies that have used medical record reviews to validate the cause of death reported.
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Use of Community Health Data for Shared Accountability
[United States Agency for International Development and Measure Evaluation]A guidance document, brief, and PowerPoint presentation for use by country ministries of health (MOHs), local government, nongovernmental organizations (NGOs), civil society, and community leaders to -
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The Dangers of Gender Bias in CRVS and Cause of Death Data: The Path to Health Inequality
[Centre of Excellence for CRVS Systems]This paper is one of twelve in a knowledge brief series on gender and CRVS that aims to uncover gender bias and barriers, share case studies and emerging findings, and recommend priority areas and
Our Resource Library provides access to curated resources related to CRVS systems, including research, tools, publications, CRVS eLearning course, our Expert Talks video series, and a glossary of terms and definitions.
A CRVS system is one that connects relevant data from the civil registry and the health information system for the purpose of producing vital statistics. In order to function well, CRVS systems depend on common elements. These are featured under a unique section of our library. Examples include resources that focus on training, assessments and evaluations, identity management, data security and privacy, information and communications technology, and more.