United States Department of Agriculture nutrition assistance programs during the COVID-19 pandemic: A scoping review protocol.

United States Department of Agriculture nutrition assistance programs during the COVID-19 pandemic: A scoping review protocol.
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DOI:
10.1371/journal.pone.0288585
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发表时间:
2023
期刊:
影响因子:
3.7
通讯作者:
--
中科院分区:
综合性期刊3区
文献类型:
--
作者:

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本范围审查的目的是检查美国(U.S.)管理的联邦营养援助计划的已发表研究。美国农业部在COVID-19大流行期间,美国领土和部落国家。审查将确定现有研究的范围,并提供研究和政策建议。2019冠状病毒病大流行使个人更容易受到粮食不安全的影响。联邦营养援助计划有助于解决粮食不安全问题,并已迅速调整,以满足新冠肺炎大流行期间受影响社区的粮食和营养需求。重要的是要了解目前关于这一主题的研究范围,以帮助为未来的研究,实践和政策建议提供信息。本次审查将包括重点关注美国农业部在COVID-19大流行期间管理的联邦营养援助计划的研究。范围审查将考虑所有主要研究设计。将使用Pubmed、CINHAL、Scopus和Proquest的健康管理数据库进行文献检索。仅考虑自2020年3月1日以来以英语发表的文章。将对标题/摘要和全文文章进行审查,以确定哪些文章符合纳入标准并应纳入审查。将使用研究团队开发的Covidence数据提取模板从每篇纳入的文章中提取数据。所提取的数据将包括与审查问题有关的主要调查结果的信息。在每个步骤中,将为每篇文章分配两名独立的评审员。数据将以表格、图表和叙述性总结的形式进行总结和展示。
The goal of this scoping review is to examine the published research on federal nutrition assistance programs administered by the United States (U.S.) Department of Agriculture during the COVID-19 pandemic, in the U.S., U.S. territories, and tribal nations. The review will identify the scope of the available research and provide research and policy recommendations. The COVID-19 pandemic made individuals more vulnerable to experiencing food insecurity. Federal nutrition assistance programs help to address food insecurity and have been rapidly adapting to meet food and nutrition needs among affected communities during the COVID-19 pandemic. It is important to understand the scope of the current research on this topic to help inform future research, practice, and policy recommendations. This review will include studies focused on federal nutrition assistance programs administered by the U.S. Department of Agriculture during the COVID-19 pandemic. The scoping review will consider all primary research designs. Pubmed, CINHAL, Scopus, and Proquest’s Health Management databases will be used for the literature search. Only articles published in English since March 1, 2020 will be considered. Titles/abstracts followed by full-text articles will be reviewed to determine which articles meet the inclusion criteria and should be included in the review. Data will be extracted from each included article using a data extraction template in Covidence that will be developed by the study team. Data extracted will include information on key findings related to the review questions. At each step, two independent reviewers will be assigned to each article. Data will be summarized and presented in tables, charts, and narrative summary.
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