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

ABSTRACT: 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.

SUBMITTER: Sarmiento I

PROVIDER: S-EPMC7238543 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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

Sarmiento Ivan I Paredes-Solís Sergio S Loutfi David D Dion Anna A Cockcroft Anne A Andersson Neil N

BMC medical research methodology 20200519 1

<h4>Background</h4>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 ide ...[more]

PMID: 32429974

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Project description:BackgroundAccessibility to surgical services can impact earthquake preparedness and response. We aimed to estimate the population with timely access to surgical care in Guerrero, a Mexican state with high tectonic activity, and identify populations at risk in the event of an earthquake.MethodsWe conducted an ecological study using open government data. We extracted data from Guerrero municipalities regarding their earthquake risk, social vulnerability, social inequality, marginalisation, and resilience indices. The latest combines municipalities' resistance to unexpected events and capacity to maintain optimal functionality without immediate federal or international support. Geographical coordinates of active public and private surgical facilities in Guerrero were combined with ancillary spatial data on roads and municipalities' population density to estimate population coverage within 30-min and 1-h driving time to surgical facilities in Redivis. We built an ordered beta regression model for each driving time estimate.FindingsWe identified 25 public and 16 private facilities capable of providing surgical care in Guerrero. The population with access to facilities with surgical capacity within 30 min and 1-h driving times were 48.4% and 69.1%, respectively. We found that municipalities with very high levels of earthquake risk, social vulnerability, social inequality, and marginalisation, and very low levels of resilience had decreased coverage. In the multivariable analysis, the resilience index was statistically significant only for the 30-min model, with an effect size of 0.524 (95% CI 0.082, 1.089).InterpretationAccess to surgical care remains unequally distributed in Guerrero municipalities at the highest risk for earthquakes. Municipalities' resilience was the most significant predictor of higher surgical care coverage in 30-min driving time. Our study provides insights on how surgical system strengthening can enhance earthquake emergency disaster planning.FundingNo funding.

Project description:Indigenous communities in Latin America and elsewhere have complex bodies of knowledge, but Western health services generally approach them as vulnerable people in need of external solutions. Intercultural dialogue recognises the validity and value of Indigenous standpoints, and participatory research promotes reciprocal respect for stakeholder input in knowledge creation.As part of their decades-long community-based work in Mexico's Guerrero State, researchers at the Centro de Investigación de Enfermedades Tropicales responded to the request from Indigenous communities to help them address poor maternal health. We present the experience from this participatory research in which both parties contributed to finding solutions for a shared concern. The aim was to open an intercultural dialogue by respecting Indigenous skills and customs, recognising the needs of health service stakeholders for scientific evidence.Three steps summarise the opening of intercultural dialogue. Trust building and partnership based on mutual respect and principles of cultural safety. This focused on understanding traditional midwifery and the cultural conflicts in healthcare for Indigenous women. A pilot randomised controlled trial was an opportunity to listen and to adjust the lexicon identifying and testing culturally coherent responses for maternal health led by traditional midwives. Codesign, evaluation and discussion happened during a full cluster randomised trial to identify benefits of supporting traditional midwifery on maternal outcomes. A narrative mid-term evaluation and cognitive mapping of traditional knowledge offered additional evidence to discuss with other stakeholders the benefits of intercultural dialogue. These steps are not mechanistic or invariable. Other contexts might require additional steps. In Guerrero, intercultural dialogue included recovering traditional midwifery and producing high-level epidemiological evidence of the value of traditional midwives, allowing service providers to draw on the strengths of different cultures.

Project description:ObjectivesCollate published evidence of factors that affect maternal health in Indigenous communities and contextualise the findings with stakeholder perspectives in the Mexican State of Guerrero.DesignScoping review and stakeholder fuzzy cognitive mapping.Inclusion and exclusionThe scoping review included empirical studies (quantitative, qualitative or mixed methods) that addressed maternal health issues among Indigenous communities in the Americas and reported on the role or influence of traditional midwives before June 2020. The contextualisation drew on two previous studies of traditional midwife and researcher perspectives in southern Mexico.ResultsThe initial search identified 4461 references. Of 87 selected studies, 63 came from Guatemala and Mexico. Three small randomised trials involved traditional midwives. One addressed the practice of traditional midwifery. With diverse approaches to cultural differences, the studies used contrasting definitions of traditional midwives. A fuzzy cognitive map graphically summarised the influences identified in the scoping review. When we compared the literature's map with those from 29 traditional midwives in Guerrero and eight international researchers, the three sources coincided in the importance of self-care practices, rituals and traditional midwifery. The primary concern reflected in the scoping review was access to Western healthcare, followed by maternal health outcomes. For traditional midwives, the availability of hospital or health centre in the community was less relevant and had negative effects on other protective influences, while researchers conditioned its importance to its levels of cultural safety. Traditional midwives highlighted the role of violence against women, male involvement and traditional diseases.ConclusionsThe literature and stakeholder maps showed maternal health resulting from complex interacting factors in which promotion of cultural practices was compatible with a protective effect on Indigenous maternal health. Future research challenges include traditional concepts of diseases and the impact on maternal health of gender norms, self-care practices and authentic traditional midwifery.

Project description:BackgroundMeningitis is characterized by an inflammation of the meninges, or the membranes surrounding the brain and spinal cord. Early diagnosis and treatment is crucial for a positive outcome, yet identifying meningitis is a complex process involving an array of signs and symptoms and multiple causal factors which require novel solutions to support clinical decision-making. In this work, we explore the potential of fuzzy cognitive map to assist in the modeling of meningitis, as a support tool for physicians in the accurate diagnosis and treatment of the condition.MethodsFuzzy cognitive mapping (FCM) is a method for analysing and depicting human perception of a given system. FCM facilitates the development of a conceptual model which is not limited by exact values and measurements and thus is well suited to representing relatively unstructured knowledge and associations expressed in imprecise terms. A team of doctors (physicians), comprising four paediatricians, was formed to define the multifarious signs and symptoms associated with meningitis and to identify risk factors integral to its causality, as indicators used by clinicians to identify the presence or absence of meningitis in patients. The FCM model, consisting of 20 concept nodes, has been designed by the team of paediatricians in collaborative dialogue with the research team.ResultsThe paediatricians were supplied with a form containing various input parameters to be completed at the time of diagnosing meningitis among infants and children. The paediatricians provided information on a total of 56 patient cases amongst children whose age ranged from 2 months to 7 years. The physicians' decision to diagnose meningitis was available for each individual case which was used as the outcome measure for evaluating the model. The FCM was trained using 40 cases with an accuracy of 95%, and later 16 test cases were used to analyze the accuracy and reliability of the model. The system produced the results with sensitivity of 83.3% and specificity of 80%.ConclusionsThis work suggests that the application and development of a knowledge based system, using the formalization of FCMs for understanding the symptoms and causes of meningitis in children and infants, can provide a reliable front-end decision-making tool to better assist physicians.

Project description:Appreciating and dealing with the plurality of farmers' perceptions and their contextual knowledge and perspectives of the functioning and performance of their agroecosystems-in other words, their 'mental models'-is central for appropriate and sustainable agricultural development. In this respect, the sustainable development goals (SDGs) aim to eradicate poverty and food insecurity by 2030 by envisioning social inclusivity that incorporates the preferences and knowledge of key stakeholders, including farmers. Agricultural development interventions and policies directed at sustainable intensification (SI), however, do not sufficiently account for farmers' perceptions, beliefs, priorities, or interests. Considering two contrasting agroecological systems in coastal Bangladesh, we used a fuzzy cognitive mapping (FCM)-based simulation and sensitivity analysis of mental models of respondents of different farm types from 240 farm households. The employed FCM mental models were able to (1) capture farmers' perception of farming system concepts and relationships for each farm type and (2) assess the impact of external interventions (drivers) on cropping intensification and food security. We decomposed the FCM models' variance into the first-order sensitivity index (SVI) and total sensitivity index (TSI) using a winding stairs algorithm. Both within and outside polder areas, the highest TSIs (35-68%) were observed for effects of agricultural extension on changes in other concepts in the map, particularly food security and income (SI indicators), indicating the importance of extension programs for SI. Outside polders, drainage and micro-credit were also influential; within polders, the availability of micro-credit appears to affect farmer perceptions of SI indicators more than drainage. This study demonstrated the importance of reflection on the differing perspectives of farmers both within and outside polders to identify entry points for development interventions. In addition, the study underscores the need for micro-farming systems-level research to assess the context-based feasibility of introduced interventions as perceived by farmers of different farm types.Supplementary informationThe online version contains supplementary material available at 10.1007/s10668-021-01342-y.

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

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

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