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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
A study conducted in Minnesota and Wisconsin revealed a connection between language preferences and limited English proficiency with delayed COVID-19 vaccine uptake and higher rates of hospitalization and death among certain language-preference groups. The study analyzed data from over 850,000 adult patients, noting that individuals with limited English proficiency or a preference for a non-English language experienced delays in receiving their first vaccine dose. These groups also had higher rates of hospitalization and death related to COVID-19. The study emphasizes the importance of addressing language barriers to ensure equitable healthcare and improve health outcomes across racial and ethnic groups.
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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Case Study
The Massachusetts Executive Office of Elder Affairs (EOEA) oversees programs and services for older adults through the aging service network, and worked closely with the COVID-19 command center during the COVID-19 pandemic. EOEA worked with senior affordable housing providers and advocated for vaccines for older adult populations. They also used their network to disseminate COVID-19 information to older adults, caregivers, and those working directly with older adults.
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:
Peer Review Study
This study evaluates race and ethnicity as a predictor of COVID-19 vaccination among the population served by the Veterans Health Administration