Future Directions for Incorporating Intersectionality Into Quantitative Population Health Research

2020 ◽  
Vol 110 (6) ◽  
pp. 803-806 ◽  
Author(s):  
Madina Agénor
Keyword(s):  
Social Justice ◽  
Population Health ◽  
Health Research ◽  
Social Inequalities ◽  
Community Based Participatory Research ◽  
Social Identities ◽  
Structural Factors ◽  
Historical Processes ◽  
Health Studies ◽  
One Step

Intersectionality, an analytical approach rooted in Black feminist theory and praxis, has become more widely used in population health research. The majority of quantitative population health studies have used intersectionality as a theoretical framework to investigate how multiple social identities rather than social inequalities simultaneously influence health inequities. Although a few researchers have developed methods to assess how multiple forms of interpersonal discrimination shape the health of multiply marginalized groups and others have called for the use of multilevel modeling to examine the role of intersecting dimensions of structural discrimination, critical qualitative, multidisciplinary, and community-based participatory research approaches are needed to more fully incorporate the core ideas of intersectionality—including social inequality, relationality, complexity, power, social context, and social justice—into quantitative population health research studies or programs. By more comprehensively capturing and addressing the influence of intersecting structural factors, social and historical processes, and systems of power and oppression on the health of multiply marginalized individuals, quantitative population health researchers will more fully leverage intersectionality’s transformational power and move one step closer to achieving social justice and health equity.

scholarly journals The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age (Preprint)

2019 ◽  
Author(s):  
Tarun Reddy Katapally
Keyword(s):  
Big Data ◽  
Population Health ◽  
Citizen Science ◽  
Participatory Research ◽  
Health Research ◽  
Community Based Participatory Research ◽  
Health Science ◽  
Systems Science ◽  
Community Based ◽  
Science Community

UNSTRUCTURED Citizen science enables citizens to actively contribute to all aspects of the research process, from conceptualization and data collection, to knowledge translation and evaluation. Citizen science is gradually emerging as a pertinent approach in population health research. Given that citizen science has intrinsic links with community-based research, where participatory action drives the research agenda, these two approaches could be integrated to address complex population health issues. Community-based participatory research has a strong record of application across multiple disciplines and sectors to address health inequities. Citizen science can use the structure of community-based participatory research to take local approaches of problem solving to a global scale, because citizen science emerged through individual environmental activism that is not limited by geography. This synergy has significant implications for population health research if combined with systems science, which can offer theoretical and methodological strength to citizen science and community-based participatory research. Systems science applies a holistic perspective to understand the complex mechanisms underlying causal relationships within and between systems, as it goes beyond linear relationships by utilizing big data–driven advanced computational models. However, to truly integrate citizen science, community-based participatory research, and systems science, it is time to realize the power of ubiquitous digital tools, such as smartphones, for connecting us all and providing big data. Smartphones have the potential to not only create equity by providing a voice to disenfranchised citizens but smartphone-based apps also have the reach and power to source big data to inform policies. An imminent challenge in legitimizing citizen science is minimizing bias, which can be achieved by standardizing methods and enhancing data quality—a rigorous process that requires researchers to collaborate with citizen scientists utilizing the principles of community-based participatory research action. This study advances SMART, an evidence-based framework that integrates citizen science, community-based participatory research, and systems science through ubiquitous tools by addressing core challenges such as citizen engagement, data management, and internet inequity to legitimize this integration.

A Critical Research Agenda for Social Justice and Public Health

2019 ◽  
pp. 531-552
Author(s):  
Nancy Krieger
Keyword(s):  
Public Health ◽  
Social Justice ◽  
Health Research ◽  
Research Agenda ◽  
Social Inequalities ◽  
Public Health Research ◽  
Creative Work ◽  
Critical Research ◽  
Sustainable Solutions ◽  
Research Questions

Critical and creative work can and must be done to determine why injustice exists, including who gains and who loses and how it wreaks its woe, thereby generating knowledge for both rectifying harm and creating just and sustainable solutions. Critical research questions focus on: What is the evidence that social injustice harms health? What can be done to prevent this harm? There are four key reasons to develop a research agenda for social justice in public health: (1) ignorance forestalls action. (2) The “facts” never “speak for themselves.” (3) Specificity matters. (4) Research can exacerbate, and even generate, rather than help rectify social inequalities in health. This chapter discusses a proposal for a public health research agenda that advances issues of social justice and includes four components: theory, monitoring, etiology, and prevention. For each component, the author delineates broad principles and provides specific examples.

Measurement equivalence: a glossary for comparative population health research

2018 ◽  
Vol 72 (7) ◽  
pp. 559-563 ◽  
Author(s):  
Katherine Ann Morris
Keyword(s):  
Public Health ◽  
Health Disparities ◽  
Population Health ◽  
Health Research ◽  
Comparative Research ◽  
Measurement Equivalence ◽  
Health Problems ◽  
Primary Objective ◽  
Health Studies ◽  
Comparative Population

Comparative population health studies are becoming more common and are advancing solutions to crucial public health problems, but decades-old measurement equivalence issues remain without a common vocabulary to identify and address the biases that contribute to non-equivalence. This glossary defines sources of measurement non-equivalence. While drawing examples from both within-country and between-country studies, this glossary also defines methods of harmonisation and elucidates the unique opportunities in addition to the unique challenges of particular harmonisation methods. Its primary objective is to enable population health researchers to more clearly articulate their measurement assumptions and the implications of their findings for policy. It is also intended to provide scholars and policymakers across multiple areas of inquiry with tools to evaluate comparative research and thus contribute to urgent debates on how to ameliorate growing health disparities within and between countries.

scholarly journals Use of Community-Based Participatory Research in Mental Health Studies With Older Adults: A Systematic Review

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 505-506
Author(s):  
Jessie Ho-Yin Yau ◽  
Walker Siu Hong Au ◽  
Tianyin Liu ◽  
Anna Y Zhang ◽  
Gloria H Y Wong ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Older Adults ◽  
Participatory Research ◽  
Health Research ◽  
Community Based Participatory Research ◽  
Mental Health Research ◽  
Successful Implementation ◽  
Community Based ◽  
Health Studies

Abstract Community-based participatory research (CBPR), a bottom-up approach that community stakeholders and academics are involved equitably, is an effective approach for enhancing relevance and value in public health research and has gained popularity in recent decades. However, little is known about how CBPR can be used in mental health studies with older adults. This systematic review examined the current state of knowledge about how CBPR approach has been adopted in mental health research among older adults in different societies. According to the PRISMA guidelines, we searched five major databases and screened the literature using these criteria: 1) journal articles reporting use of CBPR in mental health research among older adults, 2) articles published in English language, 3) studies conducted in any settings with any mental health research. Initial search found 3,227 articles and preliminary screening identified 23 eligible articles. We found that around 90% of studies were conducted in the West. Most studies adopted CBPR to develop community-based mental health interventions or to revise current interventions or models while addressing the cultural needs of their studied population. Few studies adopted CBPR to evaluate existing mental health workshops or programmes. The extent of involvement of older adults in the CBPR approach varied across studies, from questionnaire design to programme evaluation. Our review uncovered ways of CBPR implementation across different societies and elements of successful implementation in CBPR practices in mental health research among older adults.

scholarly journals The SMART Framework: Integration of Citizen Science, Community-Based Participatory Research, and Systems Science for Population Health Science in the Digital Age

10.2196/14056 ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. e14056 ◽  
Author(s):  
Tarun Reddy Katapally
Keyword(s):  
Big Data ◽  
Population Health ◽  
Citizen Science ◽  
Participatory Research ◽  
Health Research ◽  
Community Based Participatory Research ◽  
Health Science ◽  
Systems Science ◽  
Community Based ◽  
Science Community

Citizen science enables citizens to actively contribute to all aspects of the research process, from conceptualization and data collection, to knowledge translation and evaluation. Citizen science is gradually emerging as a pertinent approach in population health research. Given that citizen science has intrinsic links with community-based research, where participatory action drives the research agenda, these two approaches could be integrated to address complex population health issues. Community-based participatory research has a strong record of application across multiple disciplines and sectors to address health inequities. Citizen science can use the structure of community-based participatory research to take local approaches of problem solving to a global scale, because citizen science emerged through individual environmental activism that is not limited by geography. This synergy has significant implications for population health research if combined with systems science, which can offer theoretical and methodological strength to citizen science and community-based participatory research. Systems science applies a holistic perspective to understand the complex mechanisms underlying causal relationships within and between systems, as it goes beyond linear relationships by utilizing big data–driven advanced computational models. However, to truly integrate citizen science, community-based participatory research, and systems science, it is time to realize the power of ubiquitous digital tools, such as smartphones, for connecting us all and providing big data. Smartphones have the potential to not only create equity by providing a voice to disenfranchised citizens but smartphone-based apps also have the reach and power to source big data to inform policies. An imminent challenge in legitimizing citizen science is minimizing bias, which can be achieved by standardizing methods and enhancing data quality—a rigorous process that requires researchers to collaborate with citizen scientists utilizing the principles of community-based participatory research action. This study advances SMART, an evidence-based framework that integrates citizen science, community-based participatory research, and systems science through ubiquitous tools by addressing core challenges such as citizen engagement, data management, and internet inequity to legitimize this integration.

Prisoners’ Families and the Problem of Social Justice

2018 ◽  
Author(s):  
Rachel Condry
Keyword(s):  
Social Justice ◽  
Social Inequalities ◽  
Democratic Society ◽  
The State ◽  
Equal Citizenship

This chapter explores the wide-ranging impact of imprisonment upon the lives of the families of prisoners and the entrenched social inequalities that this both generates and reinforces. It considers the concept of social justice and whether it is useful to this enterprise. The chapter furthermore questions why the families of prisoners are faced with many difficulties. It applies theories of social justice to the consequences experienced by families of prisoners and asks whether or not those consequences are consistent with the principles of these theories. In a democratic society that claims to be organised around principles of equal citizenship, the chapter argues that there is a need to fully consider how and why families of prisoners (as innocent citizens) are affected by punishment inflicted by the state.

scholarly journals Assessing and piloting interoperability for population health research

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
F Estupiñán-Romero ◽  
J Gonzalez-García ◽  
E Bernal-Delgado
Keyword(s):  
Case Studies ◽  
Population Health ◽  
Health Research ◽  
Network Architecture ◽  
Digital Health ◽  
Data Extraction ◽  
Health Data ◽  
Research Network ◽  
Technical Solution ◽  
Privacy And Security

Abstract Issue/problem Interoperability is paramount when reusing health data from multiple data sources and becomes vital when the scope is cross-national. We aimed at piloting interoperability solutions building on three case studies relevant to population health research. Interoperability lies on four pillars; so: a) Legal frame (i.e., compliance with the GDPR, privacy- and security-by-design, and ethical standards); b) Organizational structure (e.g., availability and access to digital health data and governance of health information systems); c) Semantic developments (e.g., existence of metadata, availability of standards, data quality issues, coherence between data models and research purposes); and, d) Technical environment (e.g., how well documented are data processes, which are the dependencies linked to software components or alignment to standards). Results We have developed a federated research network architecture with 10 hubs each from a different country. This architecture has implied: a) the design of the data model that address the research questions; b) developing, distributing and deploying scripts for data extraction, transformation and analysis; and, c) retrieving the shared results for comparison or pooled meta-analysis. Lessons The development of a federated architecture for population health research is a technical solution that allows full compliance with interoperability pillars. The deployment of this type of solution where data remain in house under the governance and legal requirements of the data owners, and scripts for data extraction and analysis are shared across hubs, requires the implementation of capacity building measures. Key messages Population health research will benefit from the development of federated architectures that provide solutions to interoperability challenges. Case studies conducted within InfAct are providing valuable lessons to advance the design of a future pan-European research infrastructure.

scholarly journals COVID-19 and the calls of humanistic social work: Exploring the developmental-clinical social work concerns of the pandemic

2021 ◽  
pp. 002087282110079
Author(s):  
Robert K Chigangaidze
Keyword(s):  
Social Justice ◽  
Social Work ◽  
Global Health ◽  
Technological Innovation ◽  
Service Provision ◽  
Social Inequalities ◽  
Clinical Social Work ◽  
Health Community ◽  
The Social ◽  
The Face

Any health outbreak is beyond the biomedical approach. The COVID-19 pandemic exposes a calamitous need to address social inequalities prevalent in the global health community. Au fait with this, the impetus of this article is to explore the calls of humanistic social work in the face of the pandemic. It calls for the pursuit of social justice during the pandemic and after. It also calls for a holistic service provision, technological innovation and stewardship. Wrapping up, it challenges the global community to rethink their priorities – egotism or altruism. It emphasizes the ultimate way forward of addressing the social inequalities.

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