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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.
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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Other
The article discusses the challenges and frustrations surrounding Long COVID research in the United States. Despite substantial investments and numerous research efforts, progress in understanding and treating Long COVID has been slow and disappointing. Experts and patient advocates have criticized the research community for its focus on disease development rather than direct patient care, duplication of studies, and a lack of clinical trials. The authors propose a new hypothesis that Long COVID may be a form of post-infectious syndrome or chronic fatigue syndrome, suggesting that traditional biomedical research approaches may not yield meaningful results. Instead, they advocate for a shift towards health services research and measures that directly impact patients’ welfare, including prevention, improved prognosis, access to empathetic care, and quality of life issues. They emphasize the need for collaboration between researchers, patients, and advocacy groups to reset the research agenda effectively.
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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Book Chapter
This chapter in a larger book on systems change dives into Human Impact Partners’s experiences centering racial justice and power-sharing at the heart of their work in public health. It offers guidance on developing shared understandings of oppressive structures and systems, relationship development, and centering the voices of people most impacted by systems in need of change.
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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Blog Post
Behind every statistic on health outcomes, there are human beings – people, families, and communities. Data visualizations can often overlook this fact but should seek to honor the lived experience of those impacted in inequitable ways. This post explores ways that justice and personhood can be embedded in data visualizations, such as highlighting individual stories within a larger group to humanize quantitative information for the reader.
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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Commentary
This articles discusses the need for policy that promotes equitable access to holistic support in pregnancy care to address racial disparities in maternal care. The authors outline recommendations to increase access to medical care and social support for pregnant patients, particularly for the most vulnerable.
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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Commentary
This story is part of a series, “Race Matters.” It highlights the problems with inconsistent data collection and reporting for Native Hawaiians and Pacific Islanders. Native Hawaiians and Pacific Islanders are often grouped with Asians or not tracked at all.
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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Commentary
The authors discuss the need for a formal evaluation of the health equity impact of a new intervention, as these evaluations are hardly ever performed as part of a health technology assessment to understand its value. An evidence-based quantitative assessment of the health equity impact can help decision makers develop coverage policies, program designs, and quality initiatives focused on optimizing both total health and health equity, given the treatment options available. The authors outline the conceptual basis of how a new intervention can impact health equity and adopt distributional cost-effectiveness analysis based on decision-analytic models to assess this quantitatively, using a newly FDA-approved drug for Alzheimer’s disease (aducanumab) as an example.
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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Commentary
This article describes strategies used to mitigate the impact of the COVID-19 pandemic on patients enrolled in a clinical trial providing patient navigation to pregnant mothers with opioid use disorder (OUD). The practice strategy this article is focused on is mitigating the effects of the pandemic on pregnant women with OUD, particularly those also experiencing intimate partner violence.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
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Commentary
This article provides an overview of the link between racism and COVID-19 disparities, missing race and ethnicity data, and literature on demographic data gaps. The authors also provide recommendations on how health departments and healthcare systems can engage communities of color to co-develop race and ethnicity data collection processes.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
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Commentary
This article outlines a framework for partnering with Indigenous nations in research and data collection and calls for the need for equitable data use agreements. The framework guidelines include (1) incorporating respect and collaboration early in negotiations; (2) recognition that specificity of terms is key to trust-building; (3) remembering that good data stewardship entails safeguarding; and (4) building sustainable relationships.