在公共卫生研究中创建和使用因果循环图的不同方法:来自范围审查的建议。

IF 3.5 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH PUBLIC HEALTH REVIEWS Pub Date : 2021-12-14 eCollection Date: 2021-01-01 DOI:10.3389/phrs.2021.1604352
Lori Baugh Littlejohns, Carly Hill, Cory Neudorf
{"title":"在公共卫生研究中创建和使用因果循环图的不同方法:来自范围审查的建议。","authors":"Lori Baugh Littlejohns,&nbsp;Carly Hill,&nbsp;Cory Neudorf","doi":"10.3389/phrs.2021.1604352","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objectives:</b> Complex systems thinking methods are increasingly called for and used as analytical lenses in public health research. The use of qualitative system mapping and in particular, causal loop diagrams (CLDs) is described as one promising method or tool. To our knowledge there are no published literature reviews that synthesize public health research regarding how CLDs are created and used. <b>Methods:</b> We conducted a scoping review to address this gap in the public health literature. Inclusion criteria included: 1) focused on public health research, 2) peer reviewed journal article, 3) described and/or created a CLD, and 4) published in English from January 2018 to March 2021. Twenty-three articles were selected from the search strategy. <b>Results:</b> CLDs were described as a new tool and were based upon primary and secondary data, researcher driven and group processes, and numerous data analysis methods and frameworks. Intended uses of CLDs ranged from illustrating complexity to informing policy and practice. <b>Conclusion:</b> From our learnings we propose nine recommendations for building knowledge and skill in creating and using CLDs for future public health research.</p>","PeriodicalId":35944,"journal":{"name":"PUBLIC HEALTH REVIEWS","volume":"42 ","pages":"1604352"},"PeriodicalIF":3.5000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712315/pdf/","citationCount":"15","resultStr":"{\"title\":\"Diverse Approaches to Creating and Using Causal Loop Diagrams in Public Health Research: Recommendations From a Scoping Review.\",\"authors\":\"Lori Baugh Littlejohns,&nbsp;Carly Hill,&nbsp;Cory Neudorf\",\"doi\":\"10.3389/phrs.2021.1604352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objectives:</b> Complex systems thinking methods are increasingly called for and used as analytical lenses in public health research. The use of qualitative system mapping and in particular, causal loop diagrams (CLDs) is described as one promising method or tool. To our knowledge there are no published literature reviews that synthesize public health research regarding how CLDs are created and used. <b>Methods:</b> We conducted a scoping review to address this gap in the public health literature. Inclusion criteria included: 1) focused on public health research, 2) peer reviewed journal article, 3) described and/or created a CLD, and 4) published in English from January 2018 to March 2021. Twenty-three articles were selected from the search strategy. <b>Results:</b> CLDs were described as a new tool and were based upon primary and secondary data, researcher driven and group processes, and numerous data analysis methods and frameworks. Intended uses of CLDs ranged from illustrating complexity to informing policy and practice. <b>Conclusion:</b> From our learnings we propose nine recommendations for building knowledge and skill in creating and using CLDs for future public health research.</p>\",\"PeriodicalId\":35944,\"journal\":{\"name\":\"PUBLIC HEALTH REVIEWS\",\"volume\":\"42 \",\"pages\":\"1604352\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2021-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712315/pdf/\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PUBLIC HEALTH REVIEWS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/phrs.2021.1604352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PUBLIC HEALTH REVIEWS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/phrs.2021.1604352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 15

摘要

目的:在公共卫生研究中越来越需要复杂系统思维方法,并将其用作分析视角。定性系统映射,特别是因果循环图(CLDs)的使用被描述为一种有前途的方法或工具。据我们所知,目前还没有发表的文献综述综合了CLDs是如何产生和使用的公共卫生研究。方法:我们进行了一项范围综述,以解决公共卫生文献中的这一空白。纳入标准包括:1)专注于公共卫生研究,2)同行评议的期刊文章,3)描述和/或创建了CLD,以及4)在2018年1月至2021年3月以英文发表。从搜索策略中选择了23篇文章。结果:CLDs被描述为一种新的工具,它基于第一手和第二手数据,研究者驱动和群体过程,以及许多数据分析方法和框架。cld的预期用途包括从说明复杂性到告知政策和实践。结论:根据我们的经验,我们提出了九项建议,以便在未来的公共卫生研究中建立创建和使用CLDs的知识和技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Diverse Approaches to Creating and Using Causal Loop Diagrams in Public Health Research: Recommendations From a Scoping Review.

Objectives: Complex systems thinking methods are increasingly called for and used as analytical lenses in public health research. The use of qualitative system mapping and in particular, causal loop diagrams (CLDs) is described as one promising method or tool. To our knowledge there are no published literature reviews that synthesize public health research regarding how CLDs are created and used. Methods: We conducted a scoping review to address this gap in the public health literature. Inclusion criteria included: 1) focused on public health research, 2) peer reviewed journal article, 3) described and/or created a CLD, and 4) published in English from January 2018 to March 2021. Twenty-three articles were selected from the search strategy. Results: CLDs were described as a new tool and were based upon primary and secondary data, researcher driven and group processes, and numerous data analysis methods and frameworks. Intended uses of CLDs ranged from illustrating complexity to informing policy and practice. Conclusion: From our learnings we propose nine recommendations for building knowledge and skill in creating and using CLDs for future public health research.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
PUBLIC HEALTH REVIEWS
PUBLIC HEALTH REVIEWS Nursing-Community and Home Care
CiteScore
8.30
自引率
1.80%
发文量
47
审稿时长
5 weeks
期刊最新文献
Understanding the Risk Factors, Burden, and Interventions for Chronic Respiratory Diseases in Low- and Middle-Income Countries: A Scoping Review. Do COVID-19 Infectious Disease Models Incorporate the Social Determinants of Health? A Systematic Review. The European Researchers' Network Working on Second Victim (ERNST) Policy Statement on the Second Victim Phenomenon for Increasing Patient Safety. Let's Be Clear-Health Impact Assessments or Assessing Health Impacts? Harnessing Health Information Technology in Domestic Violence in the United States: A Scoping Review.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1