Suppr超能文献

基于社区的污名化公共卫生问题系统动力学建模:增加有个人经历者的多元代表性。

Community-based system dynamics modelling of stigmatized public health issues: Increasing diverse representation of individuals with personal experiences.

作者信息

Deutsch Arielle R, Lustfield Rebecca, Jalali Mohammad S

机构信息

Avera Research Institute; University of South Dakota School of Medicine, Pediatrics.

Avera Research Institute.

出版信息

Syst Res Behav Sci. 2022 Jul-Aug;39(4):734-749. doi: 10.1002/sres.2807. Epub 2021 Jul 12.

Abstract

Utility of community-based system dynamics (CBSD) models on stigmatized public health issues and health disparities depends upon how representative the model is to real-world experience within the community. "Personal experience" participants (PEP), especially from marginalized groups, are essential model contributors, but are often underrepresented in modeling groups due to multiple barriers. This study details a method to increase PEP representation for models on stigmatized issues. We use a case study from a CBSD project on health disparities within the association between alcohol misuse (AM) and intimate partner violence (IPV) for Northern Plains Indigenous women. Short group model building sessions were held at three community organizations providing relevant resources. Each model contributed unique system components, and there were few similarities between models. A consolidated model provided a rich picture of the complex system. Adding brief PEP-based group modeling sessions can enhance PEP representation in model development for stigmatized public health issues.

摘要

基于社区的系统动力学(CBSD)模型在受污名化的公共卫生问题和健康差距方面的效用取决于该模型对社区内现实世界经验的代表性。“个人经验”参与者(PEP),尤其是来自边缘化群体的参与者,是模型的重要贡献者,但由于多种障碍,他们在建模群体中的代表性往往不足。本研究详细介绍了一种增加受污名化问题模型中PEP代表性的方法。我们以一个CBSD项目的案例研究为例,该项目关注北部平原原住民女性中酒精滥用(AM)与亲密伴侣暴力(IPV)之间关联的健康差距。在三个提供相关资源的社区组织举行了简短的小组模型构建会议。每个模型都贡献了独特的系统组件,模型之间几乎没有相似之处。一个整合后的模型展现了这个复杂系统的丰富图景。增加基于PEP的简短小组建模会议可以提高受污名化公共卫生问题模型开发中PEP的代表性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ad1/9635333/3a596933f577/nihms-1721790-f0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验