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

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.

Did the design and planning of testing and contact tracing interventions for COVID-19 consider social inequalities in health? A multiple case study from Brazil, Canada, France & Mali.

The COVID-19 pandemic has led to an unprecedented global crisis. It has exposed and exacerbated weaknesses in public health systems worldwide, particularly with regards to reaching the most vulnerable populations, disproportionately impacted by the pandemic. The objective of our study was to examine whether and how social inequalities in health (SIH) were considered in the design and planning of public health responses to COVID-19 in jurisdictions of Brazil, Canada, France, and Mali. This article reports on a qualitative multiple case study of testing and contact tracing interventions in regions with high COVID-19 incidence in each country, namely: Manaus (Brazil), Montréal (Canada), Île-de-France (France), and Bamako (Mali). We conducted interviews with 108 key informants involved in these interventions in the four jurisdictions, focusing on the first and second waves of the pandemic. We analyzed our data thematically using a theoretical bricolage framework. Our analysis suggests that the lack of a common understanding of SIH among all actors involved and the sense of urgency brought by the pandemic eclipsed the prioritization of SIH in the initial responses. The pandemic increased intersectoral collaboration, but decision-making power was often unequal between Ministries of Health and other actors in each jurisdiction. Various adaptations to COVID-19 interventions were implemented to reach certain population groups, therefore improving the accessibility, availability, and acceptability of testing and contact tracing. Our study contributes to identifying lessons learned from the current pandemic, namely that the ways in which SIH are understood shape how interventions are planned; that having clear guidelines on how to integrate SIH into public health interventions could lead to more inclusive pandemic responses; that for intersectoral collaboration to be fruitful, there needs to be sufficient resources and equitable decision-making power between partners; and that interventions must be flexible to respond to emerging needs while considering long-standing structural inequalities.

Why urban communities from low-income and middle-income countries participate in public and global health research: protocol for a scoping review.

INTRODUCTION: As the number of people living in cities increases worldwide, particularly in low-income and middle-income countries (LMICs), urban health is a growing priority of public and global health. Rapid unplanned urbanisation in LMICs has exacerbated inequalities, putting the urban poor at increased risk of ill health due to difficult living conditions in cities. Collaboration with communities in research is a key strategy for addressing the challenges they face. The objective of this scoping review is, therefore, to identify factors that influence the participation of urban communities from LMICs in public and global health research. METHODS AND ANALYSIS: We will develop a search strategy with a health librarian to explore the following databases: MEDLINE, Embase, Web of Science, Cochrane, Global Health and CINAHL. We will use MeSH terms and keywords exploring the concepts of 'low-income and middle-income countries', 'community participation in research' and 'urban settings' to look at empirical research conducted in English or French. There will be no restriction in terms of dates of publication. Two independent reviewers will screen and select studies, first based on titles and abstracts, and then on full text. Two reviewers will extract data. We will summarise the results using tables and fuzzy cognitive mapping. ETHICS AND DISSEMINATION: This scoping review is part of a larger project to be approved by the University of Montréal's Research Ethics Committee for Science and Health in Montréal (Canada), and the Institutional Review Board of the James P Grant School of Public Health at BRAC University in Dhaka (Bangladesh). Results from the review will contribute to a participatory process seeking to combine scientific evidence with experiential knowledge of stakeholders in Dhaka to understand how to better collaborate with communities for research. The review could contribute to a shift toward research that is more inclusive and beneficial for communities.

Social Media and the Influence of Fake News on Global Health Interventions: Implications for a Study on Dengue in Brazil.

Social media usage is growing globally, with an exponential increase in low- and middle-income countries. Social media changes the ways in which information-sharing occurs, intensifying the population's exposure to misinformation, including fake news. This has important repercussions for global health. The spread of fake news can undermine the implementation of evidence-based interventions and weaken the credibility of scientific expertise. This is particularly worrisome in countries, such as Brazil, in a sociopolitical context characterized by a lack of popular trust in public institutions. In this project report, we describe our experience with the spread of fake news through the social media platform WhatsApp during the implementation of a cluster randomized controlled trial aimed at reducing dengue incidence in children in Fortaleza (Brazil). During initial visits to selected clusters, the research team was met with resistance. Then, soon after data collection started, fake news began circulating about the study. As a result, the research team developed strategies to dispel suspicion and further promote the study. However, the climate of violence and mistrust, coupled with the COVID-19 pandemic, forced the interruption of the study in 2019. The lessons learned from our experience in Fortaleza can be useful to other researchers and practitioners implementing large-scale interventions in this era of health-related misinformation.

"It felt like building a plane while in flight": the consideration of social inequalities in the design and planning of a contact-tracing intervention for COVID-19 in Montreal, Quebec.

OBJECTIVE: In Canada and globally, the COVID-19 pandemic has increased social inequalities in health (SIH), furthering the vulnerability of certain groups and communities. Contact-tracing is a cornerstone intervention with COVID-19 prevention and control programs. The aim of this study was to describe whether and how SIH were considered during the design of the COVID-19 contact-tracing intervention in Montreal. METHODS: This study is part of the multi-country research program HoSPiCOVID, looking at the resilience of public health systems during the COVID-19 pandemic. A descriptive qualitative study was carried out in Montreal, based on a "bricolage" conceptual framework describing the consideration for SIH in intervention and policy design. Qualitative data were collected using semi-structured interviews with 16 public health practitioners, recruited using both purposive and snowball sampling. Data were analyzed thematically, both inductively and deductively. RESULTS: According to participants, SIH were not initially considered during the design of the contract-tracing intervention in Montreal. The participants were frustrated by the Minister of Health's initial resistance to integrating SIH into their public health response. However, adaptations were gradually made to better meet the needs of underserved populations. CONCLUSION: There is a need for a clear and common vision of SIH within the public health system. Decision-makers need to consider SIH prior to designing public health interventions in order for these not to further increase SIH in the future, especially in the face of a health crisis.

RéSUMé: OBJECTIF: Au Canada et dans le monde, la pandémie de COVID-19 a augmenté les inégalités sociales de santé (ISS), aggravant la vulnérabilité de certains groupes et communautés. Le suivi des contacts est une intervention fondamentale des programmes de prévention et de contrôle de la COVID-19. L'objectif de cette étude était de décrire si et comment les ISS ont été prises en compte lors de la conception de l'intervention de suivi des contacts pour la COVID-19 à Montréal. MéTHODES: Cette étude fait partie du programme de recherche multi-pays HoSPiCOVID, portant sur la résilience des systèmes de santé publique pendant la pandémie de COVID-19. Une étude qualitative descriptive a été menée à Montréal, sur la base d'un cadre conceptuel « bricolage ¼ décrivant la prise en compte des ISS dans la conception des interventions et des politiques. Des données qualitatives ont été recueillies au moyen d'entrevues semi-structurés avec 16 praticiens de la santé publique, recrutés par échantillonnage raisonné et en boule de neige. Les données ont été analysées de manière thématique, de façon inductive et déductive. RéSULTATS: Selon les participants, les ISS n'ont pas été initialement prises en compte lors de la conception de l'intervention de suivi des contacts à Montréal. Les professionnels de santé publique ont déploré le manque de volonté du Ministère de la Santé d'intégrer les ISS dans la réponse de santé publique. Toutefois, des adaptations ont été progressivement apportées pour mieux répondre aux besoins des populations vulnérables. CONCLUSION: Il est nécessaire d'avoir une vision claire et commune des ISS au sein du système de santé. Les décideurs doivent prendre en compte activement les ISS pour que celles-ci soient mieux conceptualisées, et que les interventions de santé publique n'aggravent pas les ISS, surtout en période de crise sanitaire.

Barriers to family planning through structural health vulnerabilities: findings from case studies from rural Uganda.

The burden of maternal mortality in sub-Saharan Africa is the highest in the world. As high fertility rates present an increased risk to women's health, programmes and services have been put in place to increase access to family planning. Several studies have identified sociocultural factors as limiting access to family planning, including male resistance and women's low decision-making power. However, these studies have often used a behavioural approach that anchors barriers to access in women's attitudes or motivations. In 2019, a qualitative evaluation of a family planning programme using a behavioural approach was conducted in rural Uganda, focusing on women's attitudes and unmet needs. With hindsight, we realised that our evaluation was insufficient to adequately capture barriers that extend beyond women's motivations. This paper shares three case studies that we analysed using a structural health vulnerabilities approach. Our analysis highlights political, economic, social and cultural structures that can impede access to family planning. Using a structural health vulnerabilities approach, we identify structural barriers which have their roots in the local realities women face and propose context-specific structural recommendations. Finally, we contrast our initial results with findings the case studies presented to highlight the relevance of taking structural vulnerabilities into account in future family planning programme evaluation and women's sexual and reproductive health studies.

Understanding malnutrition management through a socioecological lens: Evaluation of a community-based child malnutrition program in rural Uganda.

In Uganda, almost half of children under 5 years old suffer from undernutrition. Undernutrition, a common form of malnutrition in children, encompasses stunting, wasting and underweight. The causes of child undernutrition are complex, suggesting that interventions to tackle malnutrition must be multifaceted. Furthermore, limited access to healthcare for vulnerable populations restricts the potential of hospital-based strategies. Community-based management of acute malnutrition (CMAM), which includes nutritional counselling, ready-to-use therapeutic foods and the outpatient management of malnutrition by caregivers, is recognised as an effective approach for children's recovery. However, evaluations of CMAM programs are largely based on biomedical and behavioural health models, failing to incorporate structural factors that influence malnutrition management. The objective of this evaluation was to understand the factors influencing malnutrition management in a CMAM program in rural Uganda, using the socioecological model to assess the multilevel determinants of outpatient malnutrition management. This evaluation used qualitative methods to identify factors related to caregivers, healthcare providers and societal structures that influence children's outpatient care. Data were collected at a community health clinic in 2019 through observations and interviews with caregivers of malnourished children. We observed 14 caregiver-provider encounters and interviewed 15 caregivers to examine factors hindering outpatient malnutrition management. Data were thematically analysed informed by the socioecological model. Findings showed that caregivers had a limited understanding of malnutrition. Counselling offered to caregivers was inconsistent and insufficient. Poverty and gender inequality limited caregivers' access to healthcare and their ability to care for their children. Factors at the caregiver and healthcare levels interacted with societal factors to shape malnutrition management. Results suggest that CMAM programs would benefit from providing holistic interventions to tackle the structural barriers to children's care. Using a socioecological approach to program evaluation could help move beyond individual determinants to address the social dynamics shaping malnutrition management in low- and middle-income countries.

Considering social inequalities in health in large-scale testing for COVID-19 in Montréal: a qualitative case study.

BACKGROUND: Evidence continues to demonstrate that certain marginalised populations are disproportionately affected by COVID-19. While many studies document the impacts of COVID-19 on social inequalities in health, none has examined how public health responses to the pandemic have unfolded to address these inequities in Canada. The purpose of our study was to assess how social inequalities in health were considered in the design and planning of large-scale COVID-19 testing programs in Montréal (Québec, Canada). METHODS: Part of the multicountry study HoSPiCOVID, this article reports on a qualitative case study of large-scale testing for COVID-19 in Montréal. We conducted semi-structured interviews with 19 stakeholders involved in planning large-scale testing or working with vulnerable populations during the pandemic. We developed interview guides and a codebook using existing literature on policy design and planning, and analysed data deductively and inductively using thematic analysis in NVivo. RESULTS: Our findings suggest that large-scale COVID-19 testing in Montréal did not initially consider social inequalities in health in its design and planning phases. Considering the sense of urgency brought by the pandemic, participants noted the challenges linked to the uptake of an intersectoral approach and of a unified vision of social inequalities in health. However, adaptations were gradually made to large-scale testing to improve its accessibility, acceptability, and availability. Actors from the community sector, among others, played an important role in supporting the health sector to address the needs of specific subgroups of the population. CONCLUSIONS: These findings contribute to the reflections on the lessons learned from COVID-19, highlighting that public health programs must tackle structural barriers to accessing healthcare services during health crises. This will be necessary to ensure that pandemic preparedness and response, including large-scale testing, do not further increase social inequalities in health.