Fuzzy cognitive mapping in participatory research and decision making: a practice review.

IF 3.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Iván Sarmiento, Anne Cockcroft, Anna Dion, Loubna Belaid, Hilah Silver, Katherine Pizarro, Juan Pimentel, Elyse Tratt, Lashanda Skerritt, Mona Z Ghadirian, Marie-Catherine Gagnon-Dufresne, Neil Andersson
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Abstract

Background: Fuzzy cognitive mapping (FCM) is a graphic technique to describe causal understanding in a wide range of applications. This practice review summarises the experience of a group of participatory research specialists and trainees who used FCM to include stakeholder views in addressing health challenges. From a meeting of the research group, this practice review reports 25 experiences with FCM in nine countries between 2016 and 2023.

Results: The methods, challenges and adjustments focus on participatory research practice. FCM portrayed multiple sources of knowledge: stakeholder knowledge, systematic reviews of literature, and survey data. Methodological advances included techniques to contrast and combine maps from different sources using Bayesian procedures, protocols to enhance the quality of data collection, and tools to facilitate analysis. Summary graphs communicating FCM findings sacrificed detail but facilitated stakeholder discussion of the most important relationships. We used maps not as predictive models but to surface and share perspectives of how change could happen and to inform dialogue. Analysis included simple manual techniques and sophisticated computer-based solutions. A wide range of experience in initiating, drawing, analysing, and communicating the maps illustrates FCM flexibility for different contexts and skill bases.

Conclusions: A strong core procedure can contribute to more robust applications of the technique while adapting FCM for different research settings. Decision-making often involves choices between plausible interventions in a context of uncertainty and multiple possible answers to the same question. FCM offers systematic and traceable ways to document, contrast and sometimes to combine perspectives, incorporating stakeholder experience and causal models to inform decision-making. Different depths of FCM analysis open opportunities for applying the technique in skill-limited settings.

参与式研究和决策中的模糊认知绘图:实践回顾。
背景:模糊认知图法(FCM)是一种图形技术,可在广泛的应用中描述对因果关系的理解。本实践综述总结了一组参与式研究专家和受训人员的经验,他们使用模糊认知绘图将利益相关者的观点纳入应对健康挑战的过程中。根据研究小组的一次会议,本实践综述报告了 2016 年至 2023 年期间在九个国家使用 FCM 的 25 项经验:结果:方法、挑战和调整都集中在参与式研究实践上。FCM 描绘了多种知识来源:利益相关者的知识、对文献的系统回顾以及调查数据。方法上的进步包括使用贝叶斯程序对比和组合不同来源地图的技术、提高数据收集质量的规程以及促进分析的工具。汇总图传达了 FCM 的发现,虽然牺牲了细节,但有助于利益相关者讨论最重要的关系。我们使用地图不是作为预测模型,而是为了展示和分享关于如何进行变革的观点,并为对话提供信息。分析包括简单的手工技术和复杂的计算机解决方案。在启动、绘制、分析和交流地图方面的广泛经验表明,在不同的环境和技能基础上,变革管理具有灵活性:结论:强大的核心程序有助于更稳健地应用该技术,同时使 FCM 适应不同的研究环境。决策制定通常涉及在不确定性和同一问题多种可能答案的背景下,在可信干预措施之间做出选择。实证分析模型提供了系统的、可追溯的方法来记录、对比,有时还结合利益相关者的经验和因果模型来综合各种观点,为决策提供信息。不同深度的 FCM 分析为在技能有限的情况下应用该技术提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Archives of Public Health
Archives of Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.80
自引率
3.00%
发文量
244
审稿时长
16 weeks
期刊介绍: rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.
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