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Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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White Paper/Brief
This article discusses the need for a disability data justice framework to support health equity goals. Even though 27% of American adults report having a disability, there exists limited COVID-19 data for the disabled community. Some public health surveys administered during the pandemic did not incorporate questions around disability until 2021. The article presents a series of recommendations on ways to achieve disability data justice. These include making disability a core element of all demographic data collection alongside race, ethnicity, and gender identity, increasing representation of disabled people across health professions, collaborating with members of the disabled community when developing and implementing disability data collection, and making health data accessible to all people with disabilities.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Other
This episode from the podcast 99 Percent Invisible reflects on how the COVID-19 pandemic exposed the American public to a long-standing problem: the disjointed nature of the U.S. health system. Because state and local health departments largely operate independently and use their own data collection and analysis tools, health systems across the country lack standardized data definitions and systems. These inconsistencies made it nearly impossible to collect and analyze comprehensive, standardized data on COVID-19 cases, deaths, and vaccines administered amid the pandemic. Health experts featured on this episode believe that the pandemic made the need for an overhaul of America’s informatics system very apparent. When rebuilding this system, it’s important to focus on remedying existing inequalities in data collection and classification that in some cases render the health status of certain populations – think Native American communities and other communities of color – completely invisible in the data. By virtue of being small populations, it can be difficult for health departments to collect sufficient and/or statistically significant data on minority communities. Another issue discussed in this episode is the use of broad racial categories like “other,” “multiple races,” or even “Asian American,” which, if not disaggregated, obscures the health status of diverse populations who are grouped under the same category. Without comprehensive and inclusive health data, it’s difficult to identify disparities and implement policies and programming that promote social mobility and health equity.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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White Paper/Brief
This study from the American Journal of Managed Care identifies the main factors influencing the implementation and sustainability of cross-sector data sharing between a community-based organization and an academic medical center via a case study of the Mid-Ohio Farmacy (MOF) produce referral program. The MOF is a unique program developed by the Mid-Ohio Food Collective and Ohio State University Wexner Medical Center (OSUWMC) to provide food insecure patients who have a qualifying chronic condition with money to purchase produce from food pantries on a monthly basis. Researchers conducted a series of key informant interviews with OSUWMC and Mid-Ohio Food Collective representatives to characterize the challenges of data sharing between the academic medical center and the community-based organization. Challenges were grouped into three main buckets: data sharing regulations, data exchange capabilities, and cross sector data integration. Some keys findings from this paper include the need for clarification around HIPPA regulations for data exchange between covered and non-covered entities, the importance of incorporating social-risk data (such as a food security screening tool) into the electronic health record, and the need for additional research and guidance around how to create fully integrated shared databases between health care and social service agencies.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
RELEASE DATE:
White Paper/Brief
This article covers the efforts of Salud America!, a national Latino-focused organization that uses digital content creation to create stories, tools, and videos to increase people’s self- and collective-efficacy to engage in advocacy for healthy changes. During the early stages of the COVID-19 pandemic, the organization applied its digital content curation model to address how the pandemic affected the U.S. Latino population. They released a series of website blog posts, peer-modeled stories, podcast episodes, tweet chats, action tools for school leaders, action campaigns for individuals, and localized data tools for advocates to educate the Latino community about COVID-19.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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White Paper/Brief
This brief synthesizes key accomplishments and lessons learned based on interviews with 10 state COVID-19 health equity task forces represented in the COVID-19 Health Equity Learning Network. In addition, it highlights how the network informed or supported efforts led by these task forces and reflects on focus areas to inform priority-setting for future initiatives.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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White Paper/Brief
This article discusses how to help people understand the full meaning of data about the distribution of COVID-19 and that we must connect the context to the statistics every time we mention them. The article provides examples of statements that bring the landscape into view and tips focused on communicating about data.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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White Paper/Brief
The paper outlines the work of the Gender Harmony Project, which has developed a gender-inclusive Health Level Seven International (HL7) logical model: the HL7 Gender Harmony Model. The Gender Harmony Model is a logical model that provides a standardized approach that is both backwards-compatible and an improvement to the meaningful capture of gender identity, recorded sex or recorded gender, sex for clinical use, the name to use, and pronouns that are affirmative and inclusive of gender-marginalized people. The Gender Harmony Project was formed to create more inclusive health information exchange standards to enable a safer, higher-quality, and embracing healthcare experience. The Gender Harmony Model provides the informative guidance for standards for developers to implement a more thorough technical design that improves the narrow binary design used in many legacy clinical systems.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
RELEASE DATE:
White Paper/Brief
This article details the adaptation of the 2020 Community Health Survey by the New York City Department of Health and Mental Hygiene in order to capture the impact of COVID-19 on physical health, mental health, and social determinants of health. It explains how the survey questions were adapted, how collection of survey data was adapted, and how a serosurvey was implemented. Two new polls were added, Healthy NYC and 7 Health Opinion Poll, to learn about COVID-19 related opinions, attitudes, and knowledge.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
RELEASE DATE:
White Paper/Brief
This paper serves as a foundational look into how structural racism and social determinants of health impact communities of color — particularly Black and Latino communities — in Massachusetts. This document uses local Massachusetts and national data sources to examine multiple factors for health inequities among racial minorities within the state. The primer covers demographic profiles, social drivers of health, access to coverage and care, service utilization, health outcomes, and the disparate impact of COVID-19 with infographics across multiple areas of health.