Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, 3053, Australia.
BMC Med. 2020 Mar 9;18(1):46. doi: 10.1186/s12916-020-01523-y.
Improving civil registration and vital statistics (CRVS) systems requires strengthening the capacity of the CRVS workforce. The improvement of data collection and diagnostic practices must be accompanied by efforts to ensure that the workforce has the skills and knowledge to assess the quality of, and analyse, CRVS data using demographic and epidemiological techniques. While longer-term measures to improve data collection practices must continue to be implemented, it is important to build capacity in the cautious use of imperfect data. However, a lack of training programmes, guidelines and tools make capacity shortages a common issue in CRVS systems. As such, any strategy to build capacity should be underpinned by (1) a repository of knowledge and body of evidence on CRVS, and (2) targeted strategies to train the CRVS workforce.
During the 4 years of the Bloomberg Philanthropies Data for Health (D4H) Initiative at the University of Melbourne, an extensive repository of knowledge and practical tools to support CRVS system improvements was developed for use by various audiences and stakeholders (the 'CRVS Knowledge Gateway'). Complementing this has been a targeted strategy to build CRVS capacity in countries that comprised two approaches - in-country or regional training and a visiting Fellowship Program. These approaches address the need to build competence in countries to collect, analyse and effectively use good quality birth and death data, and a longer-term need to ensure that local staff in countries possess the comprehensive knowledge of CRVS strategies and practices necessary to ensure sustainable CRVS development.
The Knowledge Gateway is a dynamic, useful and long-lasting repository of CRVS knowledge for countries and development partners to use to formulate and evaluate CRVS development strategies. Capacity-building through in-country or regional training and the University of Melbourne D4H Fellowship Program will ensure that CRVS capacity and knowledge is developed and maintained, facilitating improvements in CRVS data systems that can be used by policymakers to support better decision-making in health.
改进民事登记和生命统计（CRVS）系统需要加强 CRVS 工作人员的能力。数据收集和诊断实践的改进必须伴随着努力，确保工作人员具备使用人口学和流行病学技术评估 CRVS 数据质量和分析数据的技能和知识。虽然必须继续实施长期措施来改进数据收集做法，但重要的是要谨慎地使用不完善的数据来建立能力。然而，培训计划、准则和工具的缺乏使得 CRVS 系统普遍存在能力短缺问题。因此，任何建立能力的战略都应以下列两个方面为基础：(1) CRVS 的知识库和证据基础；(2) 培训 CRVS 工作人员的有针对性战略。
在墨尔本大学彭博慈善基金会数据促进健康（D4H）倡议的 4 年期间，为了支持 CRVS 系统的改进，为各种受众和利益攸关方开发了一个广泛的知识库和实用工具（“CRVS 知识门户”）。与之相辅相成的是，在各国建立 CRVS 能力的针对性战略，包括两种方法——国内或区域培训和访问研究员计划。这些方法满足了在国家内部培养收集、分析和有效利用高质量出生和死亡数据的能力的需求，以及确保国家内部的当地工作人员具备确保 CRVS 可持续发展所需的全面 CRVS 战略和实践知识的长期需求。
知识门户是一个动态的、有用的、持久的 CRVS 知识库，供各国和发展伙伴用于制定和评估 CRVS 发展战略。通过国内或区域培训以及墨尔本大学 D4H 研究员计划进行的能力建设将确保 CRVS 能力和知识得到发展和维护，促进 CRVS 数据系统的改进，使决策者能够更好地利用这些数据系统来支持改善健康决策。
