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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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Peer Review Study
This analysis identifies risk factors and socio-economic impacts of long COVID with a public health lens. It notes that more analysis is needed, but encourages the impacts of long COVID to be seen within a larger social, and not just medical, context. Workplace and family structure implications are substantial. Long COVID should be tracked as distinct condition using person-centered research techniques that include traditionally underrepresented populations such as children.
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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Toolkit
The Health Equity Assessment Toolkit (HEAT) is a software application that facilitates the assessment of within-country health inequalities. It was developed for use on desktop or laptop computers and mobile devices. Explore inequality, which enables users to explore the situation in one setting of interest (e.g. a country, province or district) to determine the latest situation of inequality and the change in inequalities over time. Compare inequality, which enables users to benchmark, i.e. compare the situation in one setting of interest with the situation in other settings.
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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Toolkit
This is the summary page containing the full guide to HEDA: Conducting a Health Equity Data Analysis: A Guide for Local Health Departments, Version 2. HEDA provides information on how to think about, collect, and analyze local data related to health equity. It provides a starting point for understanding how to document health inequities. This guide provides a detailed process for analyzing health inequities in a local jurisdiction. The guide describes how to use data to identify health differences between population groups, instead of only examining the population as a whole. The process includes steps to identify and examine the causes of population differences in health, and emphasizes the importance of working in partnership at every step with communities experiencing inequities.
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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Toolkit
The purpose of the project is to offer clear concepts, methods, data, and programming code to improve monitoring of, as well as actions to address health inequities, accomplished by using geocoding to link area-based social metrics to public health data.
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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Peer Review Study
Czeisler and colleagues investigated the prevalence of mental health symptoms, including depression, anxiety, and suicidal ideation in late June 2020. To assess mental health, substance use, and suicidal ideation during the pandemic, representative panel surveys were conducted among adults aged ≥18 years across the United States during June 24-30, 2020. Just over 40% of respondents reported at least one adverse mental or behavioral health condition. The percentage of respondents who reported having seriously considered suicide in the 30 days before completing the survey (10.7%) was significantly higher among respondents aged 18-24 years (25.5%), marginalized racial/ethnic groups (Hispanic respondents [18.6%], non-Hispanic black [black] respondents [15.1%]), self-reported unpaid caregivers for adults (30.7%), and essential workers (21.7%). This research directs attention to the need for community-level intervention and prevention efforts, including health communication strategies.
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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Peer Review Study
Latkin and colleagues conducted a nationally representative survey in May 2020 to examine opinions regarding vaccine hesitancy. The key outcome measure asked: if and when available, would you plan on getting the vaccine. A key set of covariate measures focused on COVID-19 prevention behaviors such as staying away from large groups, wearing a mask when leaving home, and washing hands more frequently. Additional covariates included knowing a close relative or friend who has contracted COVID-19 and how worried are you that you or someone in your family will get infected with COVID-19. Compared to White participants, Black and Hispanic respondents were significantly more likely to report that they did not intend to obtain a COVID-19 vaccine. In addition, compared to those who reported positive vaccine intentions, respondents with negative vaccine intentions were significantly less likely to report that they engaged in the COVID-19 prevention behaviors of wearing masks and social distancing.
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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Toolkit
The PhenX Social Determinants of Health (SDOH) Assessments Collection, now available in the PhenX Toolkit, contains protocols to help measure upstream factors that shape behaviors and health outcomes. The PhenX Toolkit provides recommended standard data collection protocols for conducting biomedical research. The protocols are selected by working groups of domain experts using a consensus process, which includes the scientific community. The toolkit provides detailed protocols for collecting data and tools to help investigators incorporate these protocols into their studies. Using protocols from the PhenX Toolkit facilitates cross-study analysis, potentially increasing the scientific impact of individual studies.
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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Toolkit
The toolkit describes positive and problematic practices for centering racial equity across the six stages of the data life cycle: (1) data collection, (2) data access, (3) use of algorithms and statistical tools, (4) data analysis, and (5) reporting and dissemination.
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.
RELEASE DATE:
Toolkit
The Community Information Exchange (CIE) Data Equity Framework’s goal is to build data systems to help institutions, and the communities they serve, approach CIE® planning and systems change work from a place of anti-racism by: (1) naming how data system design reflects understanding of and participation by the intended beneficiaries of current programs and interventions; (2) acknowledging and documenting the effects of a spectrum of data system design types on oppressed populations and communities; (3) identifying strategies needed to eliminate the harm of current processes and practices; (4) highlighting the behavior change needed to rebuild or change the overall data system to better meet community needs across racial and ethnic populations; and (5) adopting practices that promote restorative justice and mitigate harm and exploitation.