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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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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.
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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Blog
This blog, the second in a two-part series, provides a high-level overview of a range of state-level measures currently housed on SHADAC’s online data tool, State Health Compare, which may help states understand and track trends across indicators of health equity, such as health behaviors, health outcomes, and social and economic factors.
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:
Blog
This blog, the first in a two-part series, provides a high-level overview of a range of state-level measures currently housed on SHADAC’s online data tool, State Health Compare, which may help states understand and track trends across indicators of health equity — such as health insurance coverage, healthcare access and affordability, and quality of care.
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:
Blog
This blog highlights how states have analyzed and used race and ethnicity data to respond to COVID-19 disparities. The blog also includes a tracker of states’ public reporting of COVID-19 by race and ethnicity.
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:
Blog
This blog highlights the approaches taken and experiences of state officials in Minnesota and North Carolina in developing COVID-19 immunization data systems, including data challenges, successes, and implications for ensuring an equitable vaccine rollout now and in the future.
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.