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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
Challenges related to workforce capacity have existed throughout the COVID-19 pandemic. These shortages are especially acute and problematic for settings with high disease burdens such as nursing facilities. Strategies for expanding public health capacity within nursing homes and more broadly include increased training and retention of experienced staff.
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.
RELEASE DATE:
Peer Review Study
The Cuyahoga County Board of Health partnered with congregate living facilities to try to prevent and mitigate Covid outbreaks. The Board partnered with community partners, facility staff, state health officials, and other health care professionals and organized structured team meetings to identify and respond to cases in congregate living facilities. This partnership worked together to plan testing, contract tracing, and isolation/quarantine protocols. The department also hired a resource manager who coordinated all response efforts. For high need congregate living facilities, the resource manager/partners assisted with PPE needs.
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 case study is on the effectiveness of COVID-19 vaccine distribution via mobile vans to residents/staff of 47,907 long-term care facilities (LTCFs) across the United States that relied on algorithms to optimize vaccine distribution. The authors developed a modeling framework for vaccine distribution to high-risk populations in a supply-constrained environment. The framework decomposed this challenge as two separate problems: an assignment problem, where they optimally mapped each LTCF to select CVS stores responsible for vaccines; and a scheduling problem, where they developed an algorithm to assign available resources efficiently. The learning and this framework may be of use to other organizations, including communities where mobile clinics can be established to efficiently distribute vaccines and other healthcare resources in a variety of scenarios.