Understanding evidence ecosystems: What influences the production, translation, and use of modeled evidence in Burkina Faso, Nigeria, India, and Kenya?

Ali Sié, Habibou Fofana, M. Kagoné, Moussa Ouédraogo, Obinna Onwujekwe, Chinyere O. Mbachu, M. Chokshi, Latha Chilgod, T. Mokashi, Arun B. Nair, Peter Muriuki, A. Taddese, Leah Ewald, Apoorva Handigol
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Abstract

Background This study sought to document and understand facilitators and barriers to producing, translating, and using modeled evidence in decision-making in Burkina Faso, Nigeria, India, and Kenya. We explored researcher-decision-maker engagement mechanisms as key facilitators of evidence use, with a focus on knowledge brokers and boundary organizations. Methods The study used mixed methods drawing on analysis from key informant interviews and surveys, complemented by a rapid desk review to map modeling activities and actors. The survey was conducted online while the qualitative research entailed in-depth interviews with modelers, knowledge brokers, and decision-makers working in a representative variety of health fields, organizations, and levels of government. This study was approved by Health Media Lab IRB (Institutional Review Board) in the United States and a local IRB in each study country and conducted between September 2021 and June 2022. Results Informants interviewed for this study described a range of factors that facilitate and inhibit the use of modeled evidence in public health decision-making at the individual, organizational, and environmental levels. Key themes included the capacity to produce, translate, and use modeled evidence; the timing and relevance of modeling outputs; the existence of communications channels between modelers and decision-makers; the strength of underlying data systems; the role of sustained funding; and the impact of global crises. Conclusion This study highlights the importance of taking an ecosystem approach to supporting modeling activities, considering individual, organizational, and environmental factors and how different actors and interact to inform the production, translation, and use of modeled evidence. Structured interaction that promotes dialogue, debate, and joint sense making between the producers and users of evidence is critical to informing and influencing the use of evidence in decision-making.
了解证据生态系统:是什么影响了布基纳法索、尼日利亚、印度和肯尼亚模型证据的制作、翻译和使用?
背景 本研究旨在记录和了解布基纳法索、尼日利亚、印度和肯尼亚在决策过程中制作、翻译和使用示范证据的促进因素和障碍。我们探讨了作为证据使用关键促进因素的研究人员-决策者参与机制,重点是知识经纪人和边界组织。研究方法 本研究采用混合方法,利用关键信息提供者访谈和调查分析,并辅以快速案头审查,以绘制建模活动和参与者地图。调查是在网上进行的,而定性研究则包括与建模者、知识经纪人和决策者的深入访谈,他们工作在具有代表性的各种卫生领域、组织和各级政府中。本研究获得了美国健康媒体实验室 IRB(机构审查委员会)和各研究国家当地 IRB 的批准,在 2021 年 9 月至 2022 年 6 月期间进行。结果 本研究的受访者描述了一系列在个人、组织和环境层面促进和抑制公共卫生决策中使用模型证据的因素。关键主题包括制作、翻译和使用模型证据的能力;模型输出的时间和相关性;模型制作者和决策者之间是否存在沟通渠道;基础数据系统的强度;持续资金的作用;以及全球危机的影响。结论 本研究强调了采用生态系统方法支持建模活动的重要性,考虑了个人、组织和环境因素,以及不同参与者如何互动,为建模证据的生成、转化和使用提供信息。促进证据生产者和使用者之间的对话、辩论和共同意识形成的结构化互动,对于在决策中告知和影响证据的使用至关重要。
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来源期刊
Gates Open Research
Gates Open Research Immunology and Microbiology-Immunology and Microbiology (miscellaneous)
CiteScore
3.60
自引率
0.00%
发文量
90
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