Evidence map›Paper›PMID 39127878›Full record

ArticleGlobal health promotion2025

Integrating knowledge systems for holistic approaches to addressing knowledge and health inequities: combining fuzzy cognitive maps.

Anna Dion, Ivan Sarmiento, Mateja Šajna, Neil Andersson

Abstract read
In one paragraph

Article in Global health promotion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Anna DionCIET-PRAM, Department of Family Medicine, McGill University, Montreal, Canada.ORCID 0000-0003-2122-222X
Ivan SarmientoCIET-PRAM, Department of Family Medicine, McGill University, Montreal, Canada.
Mateja ŠajnaDepartment of Mathematics and Statistics, University of Ottawa, Ottawa, Canada.
Neil AnderssonCIET-PRAM, Department of Family Medicine, McGill University, Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes fuzzy cognitive mapping as an accessible and robust tool to strengthen community engagement in health promotion research. We outline how fuzzy cognitive mapping can combine, compare, and contextualize knowledge and priorities from diverse population groups as well as from evidence syntheses. We present procedures to represent a shared perspective across populations or population groups through reconciling maps by simple or weighted averaging. We present a novel second approach to reconciling derived from discourse analysis. We then present two procedures to contextualize one knowledge in another knowledge. The first procedure draws on Bayesian updating, providing a formal way to account for stakeholder knowledge in contextualizing other knowledge sources, including evidence syntheses. A second approach compares discourse patterns across maps derived from different sources. We provide examples of each procedure, describe how each may contribute to greater incorporation of patient- and community-level input in decision-making, and share tools for researchers interested in applications of fuzzy cognitive mapping.

Indexed as

Community ParticipationFuzzy LogicHealth Knowledge, Attitudes, PracticeHealth PromotionHealth Status DisparitiesHolistic HealthBayes TheoremHumanscommunity-based research/participatory researchmaternal healthméthodes d’enquêtequalitativequantitativerecherche communautaire/recherche participativesocial networks

Identifiers

PMID39127878
PMCPMC12979627

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.