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Addressing critical knowledge and capacity gaps to sustain CRVS system development.
BMC Medicine ( IF 9.3 ) Pub Date : 2020-03-09 , DOI: 10.1186/s12916-020-01523-y
Tim Adair 1 , Nicola Richards 1 , Avita Streatfield 1 , Megha Rajasekhar 1 , Deirdre McLaughlin 1 , Alan D Lopez 1
Affiliation  

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.

中文翻译:

解决关键知识和能力差距,以维持CRVS系统的发展。

改善民事登记和人口动态统计(CRVS)系统需要增强CRVS员工的能力。数据收集和诊断实践的改善必须伴随着努力,以确保工作人员具有使用人口统计学和流行病学技术评估CRVS数据的质量并进行分析的技能和知识。虽然必须继续执行改善数据收集实践的长期措施,但是在谨慎使用不完善的数据时建立能力很重要。但是,缺乏培训计划,指南和工具使能力不足成为CRVS系统中的普遍问题。因此,任何能力建设策略都应以(1)关于CRVS的知识和证据库,以及(2)培训CRVS员工的针对性策略为基础。在墨尔本大学的彭博慈善健康数据(D4H)计划的四年中,开发了广泛的知识库和实用工具来支持CRVS系统的改进,以供各种受众和利益相关者使用(“ CRVS知识门户” )。与此相辅相成的是在包括以下两种方法的国家中建立民事登记和人口动态统计能力的有针对性的战略–国内或区域培训和访问研究金计划。这些方法解决了在各国建立收集,分析和有效使用高质量出生和死亡数据的能力的需要,以及长期需要确保各国的当地工作人员全面掌握CRVS战略和做法的知识,以确保可持续发展。 CRVS开发。知识门户是动态的,CRVS知识的长期有用库,供各国和发展伙伴用来制定和评估CRVS发展战略。通过国内或区域培训以及墨尔本大学D4H奖学金计划进行的能力建设将确保CRVS的能力和知识得到开发和维护,从而促进CRVS数据系统的改进,决策者可以使用它来支持更好的卫生决策。
更新日期:2020-04-22
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