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Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico

BACKGROUND: Effective health care requires services that are responsive to local needs and contexts. Achieving this in indigenous settings implies communication between traditional and conventional medicine perspectives. Adequate interaction is especially relevant for maternal health because cultura...

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Autores principales: Sarmiento, Ivan, Paredes-Solís, Sergio, Loutfi, David, Dion, Anna, Cockcroft, Anne, Andersson, Neil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7238543/
https://www.ncbi.nlm.nih.gov/pubmed/32429974
http://dx.doi.org/10.1186/s12874-020-00998-w
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author Sarmiento, Ivan
Paredes-Solís, Sergio
Loutfi, David
Dion, Anna
Cockcroft, Anne
Andersson, Neil
author_facet Sarmiento, Ivan
Paredes-Solís, Sergio
Loutfi, David
Dion, Anna
Cockcroft, Anne
Andersson, Neil
author_sort Sarmiento, Ivan
collection PubMed
description BACKGROUND: Effective health care requires services that are responsive to local needs and contexts. Achieving this in indigenous settings implies communication between traditional and conventional medicine perspectives. Adequate interaction is especially relevant for maternal health because cultural practices have a notable role during pregnancy, childbirth and the postpartum period. Our work with indigenous communities in the Mexican state of Guerrero used fuzzy cognitive mapping to identify actionable factors for maternal health from the perspective of traditional midwives. METHODS: We worked with twenty-nine indigenous women and men whose communities recognized them as traditional midwives. A group session for each ethnicity explored risks and protective factors for maternal health among the Me’phaa and Nancue ñomndaa midwives. Participants mapped factors associated with maternal health and weighted the influence of each factor on others. Transitive closure summarized the overall influence of each node with all other factors in the map. Using categories set in discussions with the midwives, the authors condensed the relationships with thematic analysis. The composite map combined categories in the Me’phaa and the Nancue ñomndaa maps. RESULTS: Traditional midwives in this setting attend to pregnant women’s physical, mental, and spiritual conditions and the corresponding conditions of their offspring and family. The maps described a complex web of cultural interpretations of disease – “frío” (cold or coldness of the womb), “espanto” (fright), and “coraje” (anger) – abandonment of traditional practices of self-care, women’s mental health, and gender violence as influential risk factors. Protective factors included increased male involvement in maternal health (having a caring, working, and loving husband), receiving support from traditional healers, following protective rituals, and better nutrition. CONCLUSIONS: The maps offer a visual language to present and to discuss indigenous knowledge and to incorporate participant voices into research and decision making. Factors with higher perceived influence in the eyes of the indigenous groups could be a starting point for additional research. Contrasting these maps with other stakeholder views can inform theories of change and support co-design of culturally appropriate interventions.
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spelling pubmed-72385432020-05-27 Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico Sarmiento, Ivan Paredes-Solís, Sergio Loutfi, David Dion, Anna Cockcroft, Anne Andersson, Neil BMC Med Res Methodol Research Article BACKGROUND: Effective health care requires services that are responsive to local needs and contexts. Achieving this in indigenous settings implies communication between traditional and conventional medicine perspectives. Adequate interaction is especially relevant for maternal health because cultural practices have a notable role during pregnancy, childbirth and the postpartum period. Our work with indigenous communities in the Mexican state of Guerrero used fuzzy cognitive mapping to identify actionable factors for maternal health from the perspective of traditional midwives. METHODS: We worked with twenty-nine indigenous women and men whose communities recognized them as traditional midwives. A group session for each ethnicity explored risks and protective factors for maternal health among the Me’phaa and Nancue ñomndaa midwives. Participants mapped factors associated with maternal health and weighted the influence of each factor on others. Transitive closure summarized the overall influence of each node with all other factors in the map. Using categories set in discussions with the midwives, the authors condensed the relationships with thematic analysis. The composite map combined categories in the Me’phaa and the Nancue ñomndaa maps. RESULTS: Traditional midwives in this setting attend to pregnant women’s physical, mental, and spiritual conditions and the corresponding conditions of their offspring and family. The maps described a complex web of cultural interpretations of disease – “frío” (cold or coldness of the womb), “espanto” (fright), and “coraje” (anger) – abandonment of traditional practices of self-care, women’s mental health, and gender violence as influential risk factors. Protective factors included increased male involvement in maternal health (having a caring, working, and loving husband), receiving support from traditional healers, following protective rituals, and better nutrition. CONCLUSIONS: The maps offer a visual language to present and to discuss indigenous knowledge and to incorporate participant voices into research and decision making. Factors with higher perceived influence in the eyes of the indigenous groups could be a starting point for additional research. Contrasting these maps with other stakeholder views can inform theories of change and support co-design of culturally appropriate interventions. BioMed Central 2020-05-19 /pmc/articles/PMC7238543/ /pubmed/32429974 http://dx.doi.org/10.1186/s12874-020-00998-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Sarmiento, Ivan
Paredes-Solís, Sergio
Loutfi, David
Dion, Anna
Cockcroft, Anne
Andersson, Neil
Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico
title Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico
title_full Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico
title_fullStr Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico
title_full_unstemmed Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico
title_short Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico
title_sort fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in guerrero, mexico
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7238543/
https://www.ncbi.nlm.nih.gov/pubmed/32429974
http://dx.doi.org/10.1186/s12874-020-00998-w
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