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Addressing critical knowledge and capacity gaps to sustain CRVS system development
Tim Adair1, Nicola Richards2, Avita Streatfield2
1Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, 3053, Australia. timothy.adair@unimelb.edu.au.
Strengthening civil registration and vital statistics (CRVS) systems requires building workforce capacity through knowledge repositories and targeted training. The Data for Health Initiative developed a CRVS Knowledge Gateway and fellowship programs to enhance data collection and analysis skills globally.
Area of Science:
- Public Health
- Demography
- Health Informatics
Background:
- Improving civil registration and vital statistics (CRVS) systems is crucial for public health and policy.
- Capacity shortages in the CRVS workforce hinder effective data collection, quality assessment, and analysis.
- Existing CRVS systems often lack adequate training programs, guidelines, and tools for workforce development.
Purpose of the Study:
- To describe the development and implementation of capacity-building strategies for civil registration and vital statistics (CRVS) systems.
- To highlight the role of knowledge repositories and targeted training in strengthening CRVS workforce competence.
- To support countries in collecting, analyzing, and utilizing quality birth and death data for improved health decision-making.
Main Methods:
- Development of the 'CRVS Knowledge Gateway,' an extensive repository of knowledge and practical tools.
- Implementation of targeted capacity-building strategies, including in-country/regional training and a visiting Fellowship Program.
- Focus on equipping the CRVS workforce with skills in data collection, quality assessment, analysis, and application of demographic and epidemiological techniques.
Main Results:
- The CRVS Knowledge Gateway provides a dynamic resource for formulating and evaluating CRVS development strategies.
- Capacity-building initiatives have enhanced local expertise in managing and utilizing CRVS data.
- The initiative has fostered the development of sustainable CRVS practices in participating countries.
Conclusions:
- A robust knowledge repository and targeted training are essential for sustainable CRVS system improvement.
- The developed strategies effectively build capacity in CRVS data management and analysis.
- Enhanced CRVS systems empower policymakers with reliable data for better health sector decision-making.
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