Tools & Trainings

The Racial Equity and Policy (REAP) framework provides a conceptually sound, empirically grounded basis for systematically assessing racial equity in health policy

This work seeks to shift awareness and practice by centering racial equity and community voice within the context of data integration and use that supports power sharing and building across agencies and community members.

This report explains the Executive Order on Advancing Racial Equity and Support for Underserved Communities Through the Federal Government (“Equity EO”) launched a whole-of-government effort to incorporate the principle of equity throughout the federal government. Recognizing that the ability to conduct equity assessments and identify and remove barriers to equitable access to government programs is contingent on gathering the necessary data, President Biden ordered the formation of the Equitable Data Working Group. The President directed the Working Group to study existing federal data collection policies, programs, and infrastructure to identify inadequacies and provide recommendations that lay out a strategy for increasing data available for measuring equity and representing the diversity of the American people. The following recommendations are then discussed: make disaggregated data the norm while protecting privacy; catalyze existing federal infrastructure to leverage underused data; build capacity for robust equity assessment for policymaking and program implementation; galvanize diverse partnerships across levels of government and the research community; and be accountable to the American public. Key administration actions that address each of the recommendations are described.

This resource is the updated, digital version of A Guide to Planning Accessible Meetings, originally published by Independent Living Research Utilization in 1993, written by co?-authors June Isaacson Kailes and Darrell Jones. This version includes regulatory updates along with practical guidance from a host of meeting planning professionals, subject matter experts, and even June Kailes herself.

Designed for physicians and other health care professionals, this document provides guidance and promotes a deeper understanding of equity-focused, person-first language and why it matters.

The goal of this accessibility resource page is to provide information and resources on how to create and maintain an inclusive environment that is accessible to those with disabilities.

While each organization will follow its own path towards a Race Equity Culture, our research suggests that all organizations go through a cycle of change as they transform from a white dominant culture to a Race Equity Culture.

This guide was developed in response to librarians fielding multiple requests from UMN researchers looking to incorporate anti-racism into their research practices. This guide shares racist research systems and practices, followed by resources for mitigating those problematic systems and practices, but we wholeheartedly acknowledge that this guide is not a “solution” to the issues of racism embedded in research.

This resources is a checklist for those hosting in-person conferences to ensure they are accessible to people with different types of disabilities. Each item provides additional context that may be helpful in making the venue more accessible.

Investigation in patient safety improvement is constantly yielding new research results, yet efforts to put the results into practice are inconsistent. Therefore, a pragmatic tool is needed. The Dissemination Planning Tool was developed to assist the Agency for Healthcare Research and Quality (AHRQ) Patient Safety grantees with disseminating their research results. It was designed to help researchers consider major areas in dissemination: packaging research results, identifying target users, engaging connector organizations, identifying barriers, developing success measures, and allocating resources to implement the plan. Developing the tool included several stages, beginning with adapting Rogers’ seminal diffusion theory. Literature was reviewed from health care, sociology, organizational development, psychology, and social sciences, thus providing a breath of dissemination theory and practices. Tools currently used in field-specific instances were reviewed. All of these sources were synthesized through a process of refinement, expert review, and testing.

This style guide, which covers dozens of words and terms commonly used when referring to disability, can help journalists and other communicators to figure out how to refer to people with disabilities.

This toolkit is designed to highlight the opportunities and outline the challenges specific to greater use of technology in the service of diversity, equity and inclusion efforts. It is designed for organizational leaders, Chief Diversity and Inclusion Officers (CDIOs), and others actively working to promote diverse, equitable and inclusive workplaces globally. It is intended to complement a range of related publications produced by the World Economic Forum?s Platform for Shaping the Future of the New Economy and Society: ?HR4.0: Shaping People Strategies in the Fourth Industrial Revolution?, developed in collaboration with the Forum?s community of Chief Human Resources Officers (CHROs) and a guide to sound decision-making in the context of the coronavirus pandemic, ?Workforce Principles for the COVID-19 Pandemic: Stakeholder Capitalism in a Time of Crisis?.

This publication presents the final recommendations of an external advisory group AcademyHealth convened to help shape a sustainable, action-oriented strategy to address diversity, equity, & inclusion in the field

The Guidelines on Inclusive Language came together due to the growing need for more comprehensive and global guidelines to help authors, editors, and reviewers recognize the use of language and images that are inclusive and culturally sensitive.

ASTHO?s Health Equity toolkit is part of this work, to help public health leaders navigate the policy process and address health inequities by building diverse and inclusive coalitions. Tools discussed in this guide are designed to support a wide range of policy changes that can promote health equity.

Racial and ethnic health disparities have been documented in the United States for over a century. In 1985 the Heckler Report provided the first national summary of these disparities, leading to the creation of the Department of Health and Human Services Office of Minority Health. In the 1990s and 2000s the study of gaps in health care access, utilization, and outcomes by race and ethnicity grew rapidly, but confronted a critical limitation of the available data: the lack of standardized, self-identified race and ethnicity. The COVID-19 pandemic provided stark proof that data limitations are far from being addressed, which has real consequences for the study and practice of public health. Though data have improved since the beginning of the pandemic, the Centers for Disease Control and Prevention can only identify the race and ethnicity of less than 60% of individuals testing positive for COVID-19 or receiving vaccines, significantly limiting the ability of policymakers and health care stakeholders to measure and improve equity in the pandemic?s effects and mitigation. This Roadmap builds on an earlier report, Federal Action Is Needed to Improve Race and Ethnicity Data in Health Programs,1 in three critical respects. First, it expands on that report?s summary of the current state of race and ethnicity data in health care programs, offering more detail about whether and how race and ethnicity data are collected across a range of insurance programs, federally administered health systems and public health databases. Second, it summarizes a range of barriers to improving collection and use of race and ethnicity data, and identifies general principles for improving the data. Finally, it expands the range of recommendations for improving the data, considering not only actions the federal government could take, but also identifying actions for states and the private sector. To advance these goals, the project team carried out a targeted search for information on the completeness and quality of race and ethnicity data; an environmental scan to identify previous reports summarizing challenges to collection and use of race and ethnicity data; and key informant interviews to better define and understand barriers and opportunities. The environmental scan and informant interviews pointed to a consistent set of barriers faced by health care organizations, including: (1) Legal and privacy concerns around collection and use of race and ethnicity data. (2) Lack of standardized collection procedures and category definitions. (3) Technical barriers to collection and storage of data. (4) Cost of collection and lack of financial incentives or program requirements to collect race and ethnicity data. (5) Lack of staff and resources in health care organizations to analyze and use data once collected. (6) Resistance from patients and clinical providers to collection and use of race and ethnicity data. Despite these challenges, prior reports and data from the key informant interviews pointed to several opportunities to improve collection and use of race and ethnicity data: (1) Highlight early, successful adopters of expanded race and ethnicity data collection. (2) Disseminate existing technical support resources and data standards. (3) Educate patients and providers about the potential of improved race and ethnicity data to improve outcomes and equity. (4) Provide incentives to encourage data collection and finance necessary technology investments and staffing. (5) Where incentives fail to produce action, consider mandates (e.g., require collection to meet certain standards as a condition of participating in federal programs or demonstration projects). (6) Identify existing resources that could be leveraged to improve analysis of health equity until consistent, complete, self-reported race and ethnicity data are available. The report concludes with a series of recommendations for federal and state regulators and legislators, health systems and health insurance companies, and a range of other health sector stakeholders. Recommendations are grouped under the following themes: (1) Improve data collection, storage and transfer systems. (2) Evaluate and expand incentives and requirements to collect. (3) Provide updated technical assistance to stakeholders. (4) Review, clarify and, if necessary, amend regulations.

This tool describes how to conduct intensive equity assessments of existing programs, policies, and processes. The tool first describes the scoping work that needs to be done before conducting an equity assessment and then describes and provides guiding questions for each of the six steps in the in-depth equity assessment process.

This resource defines intersectionality and describes its manifestations in education. It also offers strategies for addressing implicit biases in Integrated Co-Teaching (ICT) classrooms and provides a list of anti-racist and intersectionality resources for educators.

This resource has easy-to-use, practical resources on how to make meetings and events more inclusive.

A guide to support funders seeking to develop and implement a preprint policy. The toolkit includes benefits of preprints for funders, guidlines on how to incorporate and review the use of preprints into current policies, and a preprint policy text document

The Pulse Check is not a downloadable tool, it is an interactive application. Access to the Pulse Check means you are taking it on behalf of/as an organization rather than receiving permission to view all of the questions.

A Racial Equity Impact Assessment (REIA) is a systematic examination of how different racial and ethnic groups will likely be affected by a proposed action or decision.

Tools, research, tips, and curricula for people who want to increase their own understanding and to help those working for racial justice at every level in systems, organizations, communities, & the culture at large.

Taking the model from the American Alliance of Museums? guides for transgender inclusion, these toolkits provide a common framework for analysis, a shared vocabulary, and best practices to address racial disparities specific to the scholarly publishing community.

Use the Data Equity Framework to break up your data work into manageable parts and go through an intentional, equity-oriented process to make the key decisions along the way.

The current evaluation paradigm must shift and mindsets and practices evolve. The Equitable Evaluation Initiative’s Equitable Evaluation Framework provides principles and orthodoxies to guide organizations.

This content was initially created to inform federal staff at the U.S. Department of Health and Human Services. In an effort to increase collaboration and share promising practices, the Office of the Assistant Secretary for Planning and Evaluation has made this tool available for both public and private partners.

This Implementation Guidebook will help individuals, organizations, communities and First Nations in planning, implementing and evaluating the W.K. Kellogg Foundation’s Truth, Racial Healing & Transformation efforts.

Margo Edmunds and Abdul Shaikh lead attendees through an exercise on priority-setting for methods and data followed by a discussion of the results of the exercise.

Abdul Shaikh facilitates a discussion on emerging methods to advance health equity. Lisa Goldman Rosas presents on community-based participatory research, and Suzanne Tamang discusses how using big data can improve outcomes.

In this session, presenters Ninez Ponce and Juanita Chinn describe approaches to improving data collection and analysis with Asian/Pacific Islander, Native American people, and other under-represented groups.

Rashida Dorsey leads a conversation with J?Mag Karbeah, Reginald Tucker-Seeley, and Jameta Barlow on topic areas including structural racism, measuring and reporting health disparities, and understanding intersectionality.

Tools to improve communication about social needs, social determinants of health, and structural determinants of health equity.

The We All Count training program is made up of three levels, taking you from wanting to improve the equity in your data work to a high level of practical competency at actually doing it.

Our courses are grounded in the revolutionary Data Equity Framework: a set of real-world tools and systems that identify key equity choice points in your work and teach you how to make those choices in a way that makes your projects more fair, more rigorous, more accurate, and more successful.

This guidebook proposes an equity-based approach as a way to restore communities as the true authors and owners of research, and to shift the way researchers and funders work with community-based organizations to uncover knowledge together.