Suppr超能文献

克服有效多部门营养政策的证据局限。

Overcoming the Limits of Evidence on Effective Multisectoral Nutrition Policy.

作者信息

Marasini Madhu Kumar, Mugenyi Ssansa

机构信息

National Planning Commission, Kathmandu, Nepal

Office of the Prime Minister, Kampala, Uganda.

出版信息

Food Nutr Bull. 2016 Dec;37(4 suppl):S183-S184. doi: 10.1177/0379572116676120.

Abstract

The multisectoral approach has evolved as a popular instrument to attain nutrition goals and targets. But as policy makers, we need timely, relevant, and accurate information in order to effectively support these plans. This commentary comes from the members of the nutrition secretariats at the National Planning Commission in Nepal and the Office of the Prime Minister in Uganda on availability and use of evidence and the nutrition policy cycle. As has been highlighted in this supplement, some of the challenges we have faced include tracking nutrition spending and limited human resource capacity. It will be important for countries, including our own, to take steps to ensure that all sectors with responsibility for nutrition issues adequately prioritize nutrition-as evidenced by budgets and targets-and coordinate efforts for the most efficient use of funds. Countries will also need to consider the importance of transparency and accountability at all levels, as well as planning and reporting systems to ensure better cooperation and stronger partnerships. Going forward, we call on all those working in the field of nutrition to focus on developing evidence that is useful for decision-making and that can facilitate monitoring of practical measures of governance and financing by national- and district-level stakeholders.

摘要

多部门方法已发展成为实现营养目标和指标的一种流行手段。但作为政策制定者,我们需要及时、相关且准确的信息,以便有效支持这些计划。本评论来自尼泊尔国家计划委员会和乌干达总理办公室营养秘书处的成员,内容涉及证据的可得性与使用以及营养政策周期。正如本增刊所强调的,我们所面临的一些挑战包括追踪营养支出和人力资源能力有限。包括我们国家在内的各国采取措施确保所有负责营养问题的部门充分重视营养(以预算和目标为证)并协调努力以最有效地使用资金,这将非常重要。各国还需要考虑各级透明度和问责制的重要性,以及规划和报告系统,以确保更好的合作和更强大的伙伴关系。展望未来,我们呼吁所有从事营养领域工作的人专注于提供有助于决策的证据,并促进国家和地区层面的利益相关者对治理和融资实际措施的监测。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验