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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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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.
Best Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by achievement of aims consistent with the objectives of the activities.
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Systematic Review/Meta-Analysis
This review of state data collection and reporting practices during the COVID-19 pandemic found inconsistencies and gaps in data collected by race and ethnicity. Improved standardization across the U.S.–which may come in the form of a federally-operated centralized database–would address some of the concerns in data representation of all Americans.
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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Systematic Review/Meta-Analysis
This study analyzes different epidemic models of COVID-19. It demonstrates the variability of models’ ability to predict COVID-19 transmission and outbreak. It advises public health practitioners to exercise caution when formulating public health strategies based on the prediction results of mathematical models due to this variability.
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 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.
RELEASE DATE:
Systematic Review/Meta-Analysis
In an effort to help build the evidence base around social determinants of health (SDOH), the Assistant Secretary for Planning and Evaluation (ASPE) engaged RAND in a project to evaluate the current evidence from programs and policies targeting SDOH and identify research questions, data sources, and data gaps. RAND used a multi-methods approach that included an environmental scan of the published and gray literature of SDOH interventions; key informant interviews with subject matter experts; and a convening of U.S. Department of Health and Human Services agencies and operating divisions to review the results of the environmental scan and offer insights on findings.
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.
RELEASE DATE:
Systematic Review/Meta-Analysis
This article details a systematic review of current literature sources to identify how the Latinx community experiences disparities during the COVID-19 pandemic. The review found literature using population data that showed policies impacting access to health insurance, health care, sick leave, childcare, and historic wage disparities remain consequential in perpetuating existing disparities. A review of the results of all studies selected for the review is available within the article.
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 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.
RELEASE DATE:
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.