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Community-Engaged Research: A Quick-Start Guide for Researchers - UCSF CTSI
This Quick-Start Guide is intended for academic researchers at UCSF who are interested in community-based partnerships for research. -
Community-Engaged Research with Community-Based Clinicians: A Resource Manual for Researchers - UCSF CTSI
Topic 1: What is community-engaged research? Topic 2: Why build research partnerships with community clinicians? Topic 3: Why might clinicians be interested in collaborative research? Topic 4: What questions might community clinicians have about a study? Topic 5: In what kinds of settings is practice-based research conducted? Topic 6: What might I need to know about community clinicians/providers and the community setting? Topic 7: What kinds of studies take place in community clinic settings? Topic 8: What options for research partnerships with community-based clinicians should I know about? Topic 9: What are the challenges I should think about as I consider collaborating with a community-based clinical partner? Topic 10: How do I initiate working relationships with clinicians in community settings? Topic 11: What are steps of collaborative research I need to know about? Topic 12: What do I need to know to obtain funding for collaborative research? Topic 13: What administrative mechanisms should I know about when setting up a research partnership with a community clinician? Topic 14: What do I need to know about publishing a practice-based collaborative study? -
Community Health Engagement Training - Duke Community and Family Medicine
This module describes steps to take to develop a community health program. -
Duke University Campus Institutional Review Board (IRB)
A resource guide to understand ethical consideration given at Duke University (i.e., compensating research participants, confidentiality, informed consent, and recruitment)
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READI Community Outreach and Engagement Checklist for Researchers and Teams
The goal of the Research Equity and Diversity Initiative (READI) is to improve the health of our communities and advance health equity by making it easier for community members and researchers to collaborate on health research that is important and relevant to our community. Our approach to health research relies on the guidance and advice of our Community Advisory Council, made up of community faith leaders, patients, healthcare providers, and study participants. From this collaboration, we are working together to foster trustworthiness in research and increase broad and diverse representation in research participation and the research workforce. Duke recognizes the importance of this work. When diverse communities are represented in clinical trials and studies, everyone benefits from new discoveries. When Duke researchers and community members work together, they can achieve amazing things to advance the health and well- being of our communities. This toolkit provides information to researchers and their teams on organizing outreach and engagement activities to promote equitable research.
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In It Together: Community-Based Research Guidelines for Communities and Higher Education - The Community Research Collaborative
These guidelines, developed by a community-campus collective, offer advice for both community-based and campus-based people who want to do collaborative research. -
An Introduction to Effectiveness, Dissemination and Implementation Research - UCSF CTSI
Topic 1: Defining Key Terms Topic 2: Underpinnings of Dissemination and Implementation Research Topic 3: What is the problem, and why do we need to perform effectiveness, dissemination and implementation research? -
Melding Multiple Sources of Knowledge: Using Theory and Experiential Knowledge to Design a Community Health Intervention Study
Although Community-Based Participatory Research (CBPR) is grounded in socioecological theories of health, using and addressing theory in CBPR can be challenging. This paper explores how theory was used and melded with community expertise in one CBPR study in Durham, North Carolina. -
Resource for Integrating Community Voices into a Research Study: Community Advisory Board Toolkit - Southern California CTSI
A toolkit providing investigators with an overview of how to develop and maintain a community advisory board for research studies. -
Tips and Tricks for Successful Research Recruitment - Southern California CTSI
A toolkit highlighting effective strategies for investigators to work in diverse populations. -
Toolbox for Conducting Community-Engaged Research - Scripps Institute
This manual was created through a collaborative process that included the community engagement team at Southern California and Translational Science Institute Office of Community Engagement, Scripps Translational Science Institute Community Engagement Program, Scripps Whittier Diabetes Institute, Project Dulce as well as members from the communities they serve. -
Toolkit for Developing Community Partnerships - Southern California CTSI
A resource for researchers, health care providers and the community who are interested in conducting community-engaged research. The CEnR guide will outline the process and approach needed during every phase of a project.
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Resource for Integrating Community Voices into a Research Study: Community Advisory Board Tool Kit
One common way to integrate community perspectives into a research study is to develop a community advisory board (CAB), which can play a number of roles in a research study. A CAB is typically comprised of community members who share a common identity, history, language, and/or culture by which the community’s interests in research or program development can be conveyed (Israel, Checkoway, Schulz, & Zimmerman, 1994). CAB members are typically representatives from community organizations that serve your target population; or, in some cases they can be members of the lay community such as parents, patients or youth. However, special attention should be paid to lay member groups as these environments may not be as welcoming or supportive of their active participation. In those instances, the project team should consider ways to make this a more supportive environment such as 1:1 coaching with the lay members; setting ground rules that ensure equal participation and other ideas that may be appropriate -
Tips for Inclusive Community-Engaged Research
This is a resource to use to support building trust and gaining buy-in from the ground up for researchers and community organizations. -
ChatGPT Cheat Sheet for Community Engagement from Socialpinpoint
Social Pin Point developed an information check sheet addressing the intersection of community engagement and ChatGPT. -
The Radical Welcome Engagement Restoration Model and Assessment Tool for Community-Engaged Partnerships
The radical welcome assessment guide can be used as a road map to understand the developmental stages, successes and challenges of a team engaged in CBPR. It also helps the group define and perform individual and collective actions needed to meet their objectives. RWERM and RWEAT provide researchers with additional resources in their toolbox to address some of the challenges of CBPR. -
Community Engagement Toolkit: Building Purpose and Participation
The ever-changing landscape of community needs and challenges makes community development – and public engagement to inform it – a constant practice. Interactions between people and their communities expose complex realities, many of which hold meaningful potential for change. This resource helps researchers and communities develop meaningful and sustainable partnerships.
Cultural Competence and Cultural Humility
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Cultural Competence or Cultural Humility? Moving Beyond the Debate - Health Promotion Practice
An article describing the difference between cultural competence and humility in healthcare. -
Introduction to Cultural Humility in Healthcare - Dartmouth University
This LibGuide from Dartmouth University Libraries contains many free access resources to implement cultural humility in clinical care and research, including specific resources for LGBTQ+, American Indian, Rural, Urban, and Global Populations. -
Think Cultural Health Resource Library - US Office of Minority Health
This resource library contains free-to-access guides, checklists, and tools to implement cultural competency in clinical medicine and research.
Plain Language
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Naming and Framing: Six Principles for Embedding Health Equity Language in Research, Writing, and Practice
This document was produced by the Duke Margolis Institute for Health Policy to provide observed and research insights on how to use six principles to support ideal language in health equity research, writing, and practice. This tool was developed in March 2024 by Andrea Thoumi and Kamaria Kaalund.
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Creating Plain Language - Harvard MRCT Center
This glossary is a list of research words and their meanings. Use this glossary to learn more about words that are used in research studies. -
Plain Language Medical Dictionary - University of Michigan Library
A project of the University of Michigan Taubman Health Sciences Library. To use, click on the drop down menu to browse the list of high-level medical terms. Once a word or phrase is selected, the plain language translation will appear in the box. -
Plain Language Materials and Resources
This federal site contains plain language resources, examples, and checklists. -
Plainlanguage.gov
This federal site contains laws about plain language, how-to guides, training, and examples of plain language. -
Usability.gov
One-stop source for web designers to learn how to make websites more usable, useful, and accessible.
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The 5Ws of Racial Equity in Research: A Framework for Applying a Racial Equity Lens Throughout the Research Process
The 5Ws of Racial Equity in Research is a framework that uses the questions "Who, What, When, Where, and Why" to promote racial equity in research processes and among the research workforce. The framework uses historical and contemporary examples of research inequities to encourage open discussion and proactive planning for equity. It can be used as a starting point for understanding processes, evaluating circumstances, and being intentional in achieving racial equity in research. -
COVID-19 Health Equity Studies Prompt Policy Recommendations to Prioritize Community Health Worker Models
A new policy paper from Duke-Margolis Center for Health Policy, UNC Center for Health Equity Research and Duke Clinical Research Institute delivers policy recommendations to enhance and prioritize Community Health Worker (CHW) models into existing health care transformation reforms to address health inequities in the U.S. -
Designing and Implementing a Community-Engaged Research e-Library; A Case Study for Adapting Academic Library Information Infrastructure to Respond to Stakeholder Needs
The Duke University Clinical and Translational Science Institute Community Engaged Research Initiative (CERI) created an e-Library in 2018. This e-Library was developed in response to academic researchers and community requests for reliable, easily accessible information about community-engaged research approaches and concepts. It was vetted by internal and external partners. The e-Library’s goal is to compile and organize nationally relevant community-engaged research resources to build bi-directional capacity between diverse community collaborators and the academic research community. Key elements of the e-Library’s development included a selection of LibGuides as the platform; iterative community input; adaptation during the COVID-19 pandemic; and modification of this resource as needs grow and change. Subjects: Community Engagement, Research, Libguide, e-library, stakeholders -
Participatory Research to Improve Medication Reconciliation for Older Adults in the Community
Medication reconciliation, a technique that assists in aligning a care team's understanding of an individual's true medication regimen, is vital to optimize medication use and prevent medication errors. Historically, most medication reconciliation research has focused on institutional settings and transitional care, with comparatively little attention given to medication reconciliation in community settings. To optimize medication reconciliation for community-dwelling older adults, healthcare professionals and older adults must be engaged in co-designing processes that create sustainable approaches. -
Biological and Clinical Correlates of the Patient Health Questionnaire-9: Exploratory Cross-Sectional Analysis of the Baseline Health Study
This publication features highlights on how: (1) even subthreshold depressive symptoms (measured by PHQ-9) may be indicative of several individual- and population-level concerns that demand more attention; and (2) depression should be considered a comorbidity in common disease. -
Demographics Imbalances Resulting From the Bring Your Own Device Study Design
Digital health technologies, such as smartphones and wearable devices, promise to revolutionize disease prevention, detection, and treatment. Recently, there has been a surge of digital health studies where data are collected through a bring-your-own-device (BYOD) approach, in which participants who already own a specific technology may voluntarily sign up for the study and provide their digital health data. BYOD study design accelerates the collection of data from a larger number of participants than cohort design; this is possible because researchers are not limited in the study population size based on the number of devices afforded by their budget or the number of people familiar with the technology. However, the BYOD study design may not support the collection of data from a representative random sample of the target population where digital health technologies are intended to be deployed. This may result in biased study results and biased downstream technology development, as has occurred in other fields. In this viewpoint paper, we describe demographic imbalances discovered in existing BYOD studies, including our own, and we propose the Demographic Improvement Guideline to address these imbalances. -
Research Translation: A Pathway for Health Inequity
In a context of social inequity, research translation naturally furthers health inequity. As Fundamental Cause Theory (FCT) explains—and an associated empirical literature illustrates—those with more resources benefit earlier and more from scientific innovation than those with fewer resources. Therefore, research translation of its own course creates and widens health disparities based on socioeconomic status and race/ethnicity. Yet, the conversation about research translation has yet to center this critical reality, undermining our efforts to address heath inequity. Moving toward sustainable health equity requires that we build the evidence base for, prioritize, and institutionalize translation approaches that center the needs and assets of low‐resource populations (with community engagement helping toward that end). However, even the impact of that approach will be limited if we as a society do not mobilize knowledge to address social inequity and the many ways in which it shapes health. The health research community should engage the FCT paradigm to think critically about resource allocation among different kinds of research and action. Moreover, in our contributions to discussions about the road to health equity, we must be forthcoming about the reality FCT describes and the limitations it indicates for achieving health equity through translation of biomedical, clinical, health services, and health behavior research alone.
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The Community Research Liaison Model: Facilitating Community-Engaged Research
The Community Research Liaison Model (CRLM) is a novel model to facilitate community-engaged research (CEnR) and community–academic research partnerships focused on health priorities identified by the community. This model, informed by the Principles of Community Engagement, builds trust among rural communities and expands capacity for community and investigator-initiated research. This publication describes the CRLM development process and how it is operationalized today. We followed a multi-phase process to design and implement a community engagement model that could be replicated. The resulting CRLM moves community–academic research collaborations from objectives to outputs using a conceptual framework that specifies our guiding principles, objectives, and actions to facilitate the objectives (i.e., capacity, motivations, and partners), and outputs. The CRLM has been fully implemented across Oregon. -
From Community Engagement, To Community-Engaged Research, To Broadly Engaged Team Science
Abstract
A foundational principle and practice for translational research is active participation of a range of disciplines, referred to as “team science.” It is increasingly apparent that to be relevant and impactful, these teams must also include stakeholders outside the usual academic research community, such as patients, communities, and not-for- and for-profit organizations. To emphasize the need to link the practices of team science and of community-engaged research, we propose a framework that has community members and stakeholders as integral members of the research team, which we term, “broadly engaged team science.” Such transdisciplinary and multi-stakeholder teams will be best suited to pose translational research questions, conduct the research, and interpret and disseminate the results. We think this will generate important and impactful science, and will support the public’s regard for, and participation in, research. -
Developing and Piloting a Community Scientest Academy to Engaged Communities and Patients in Research
Abstract
Introduction
Effective translational research requires engagement and collaboration between communities, researchers, and practitioners. We describe a community scientist academy (CSA) developed at the suggestion of our Clinical and Translational Science Awards’ (CTSA) community advisory board to engage and capacitate community members by (1) increasing community members’ and patients’ understanding about the research process and (2) increasing their access to opportunities to influence and participate in research. A joint CTSA/community planning committee developed this 8-hour workshop including sessions on: (1) research definitions and processes; (2) study design; (3) study implementation; and (4) ways to get involved in research. The workshop format includes interactive exercises, content slides and videos, and researcher and community presenters. -
A Model for Academic Institution Support for Community-Engaged Research
The promise of community-engaged research (CEnR) to improve the health and well-being of populations is increasingly recognized by academic institutions and the programs that support their work. The National Institutes of Health’s Clinical and Translational Science Awards calls for the development of partnerships with collaborators outside of academia (e.g., patients, nonprofit organizations, governmental agencies, community-based clinicians and delivery systems, industry), “where and when appropriate [1].” Recognizing that optimal ways to involve communities in each stage of the translational process are not yet clear, the program also charged the clinical and translational research institutes (“hubs”) that received funding, to “develop a methodological framework for discovering, demonstrating and disseminating successful collaboration models [1].” -
A FRAMEWORK FOR DESIGNING HIGH IMPACT COMMUNITY ENGAGED RESEARCH AND LEARNING STRATEGIES
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Most CERL activities involve short-term engagement strategies, hoping that by building awareness and aptitude for social change, longer-term effects will indirectly be generated.
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To enhance CERLs' transformative capacities, more elaborate perspectives, acknowledging moments of conflict at the micro, meso, and macro levels, are needed.
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Transformational relationships are not bound by a fixed timeline or outcome, but are open-ended processes, allowing participants to make targeted adjustments as they navigate the pitfalls and challenges that naturally arise within any social change, inspiring us to embrace the journey of transformation.
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Adopting comprehensive CERL approaches might help us move beyond simplistic, win-win understandings of learning-centered societal advancements.
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Video: AI for the People: Unleashing the Power of Community-Engaged AI
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Video: The Future of Open Science Policy: Community Engagement in Research & Data
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Video: Artificial Intelligence and Teaching: A Community Conversation
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Strategies to Govern AI Effectively
Advances in artificial intelligence are accelerating scientific discoveries and analyses, while at the same time challenging core norms and values in the conduct of science, including accountability, transparency, replicability, and human responsibility—difficulties that are particularly apparent in recent advances in generative AI. -
Human Accountability and Responsibility Needed to Protect Scientific Integrity in an Age of AI, Says New Editorial
The editorial emphasizes that advances in generative AI represent a transformative moment for science — one that will accelerate scientific discovery but also challenge core norms and values of science, such as accountability, transparency, replicability, and human responsibility. -
Bringing Communities In, Achieving AI for All
To ensure that artificial intelligence meaningfully addresses social inequalities, AI designers and regulators should seek out partnerships with marginalized communities, to learn what they need from this emerging technology and build it. -
A Justice-Led Approach to AI Innovation
To ensure that innovation enhances freedom and promotes equality, research and development should be governed by an ethical framework grounded in a conception of justice fit for a pluralistic, open society. -
A Human Rights Framework for AI Research Worthy of Public Trust
Researchers must respect the human rights of individuals who contribute to AI models and of those groups presumed to have been modeled. That is to say, respect for human rights must extend not just to research participants but to society at large. Public confidence, and with it the future of AI development and AI-driven science, hinges on the adoption of this high standard. -
A Tool with Limitations
The rise and overall awareness of generative AI has been nothing short of remarkable. The generative AI-powered ChatGPT took only five days to reach 1 million users. Compare that with Instagram, which took about 2.5 months to reach that mark, or Netflix, which took about 3.5 years. Additionally, ChatGPT took only about two months to reach 100 million users, while Facebook took about 4.5 years and Twitter just under 5.5 years to hit that mark.