Evidence map›Paper›PMID 38769567›Full record

ArticleArchives of public health = Archives belges de sante publique2024

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

Iván Sarmiento, Anne Cockcroft, Anna Dion, Loubna Belaid, Hilah Silver, Katherine Pizarro, Juan Pimentel, Elyse Tratt, Lashanda Skerritt, Mona Z Ghadirian and 2 more

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Iván SarmientoDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada. ivan.sarmiento@mail.mcgill.ca.
Anne CockcroftDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.
Anna DionDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.
Loubna BelaidDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.
Hilah SilverDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.
Katherine PizarroDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.
Juan PimentelDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.
Elyse TrattInstitut Lady Davis pour la Recherche Médicale, Montreal, Canada.
Lashanda SkerrittDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.
Mona Z GhadirianDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.
Marie-Catherine Gagnon-DufresneDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.
Neil AnderssonDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFuzzy 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.

resultsThe 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.

conclusionsA 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.

Indexed as

Fuzzy cognitive mappingFuzzy logicGlobal healthParticipatory modellingPublic healthStakeholder engagementWeight of evidence

Identifiers

PMID38769567
PMCPMC11103993

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.