Nursing home infection control strategies during the COVID-19 pandemic.

BACKGROUND: The American Rescue Plan Act of 2021 awarded $500 million toward scaling "strike teams" to mitigate the impact of Coronavirus Disease 2019 (COVID-19) within nursing homes. The Massachusetts Nursing Facility Accountability and Support Package (NFASP) piloted one such model during the first weeks of the pandemic, providing nursing homes financial, administrative, and educational support. For a subset of nursing homes deemed high-risk, the state offered supplemental, in-person technical infection control support. METHODS: Using state death certificate data and federal nursing home occupancy data, we examined longitudinal all-cause mortality per 100,000 residents and changes in occupancy across NFASP participants and subgroups that varied in their receipt of the supplemental intervention. RESULTS: Nursing home mortality peaked in the weeks preceding the NFASP, with a steeper increase among those receiving the supplemental intervention. There were contemporaneous declines in weekly occupancy. The potential for temporal confounding and differential selection across NFASP subgroups precluded estimation of causal effects of the intervention on mortality. CONCLUSIONS: We offer policy and design suggestions for future strike team iterations that could inform the allocation of state and federal funding. We recommend expanded data collection infrastructure and, ideally, randomized assignment to intervention subgroups to support causal inference as strike team models are scaled under the direction of state and federal agencies.

Integrated causal-predictive machine learning models for tropical cyclone epidemiology.

Strategic preparedness reduces the adverse health impacts of hurricanes and tropical storms, referred to collectively as tropical cyclones (TCs), but its protective impact could be enhanced by a more comprehensive and rigorous characterization of TC epidemiology. To generate the insights and tools necessary for high-precision TC preparedness, we introduce a machine learning approach that standardizes estimation of historic TC health impacts, discovers common patterns and sources of heterogeneity in those health impacts, and enables identification of communities at highest health risk for future TCs. The model integrates (i) a causal inference component to quantify the immediate health impacts of recent historic TCs at high spatial resolution and (ii) a predictive component that captures how TC meteorological features and socioeconomic/demographic characteristics of impacted communities are associated with health impacts. We apply it to a rich data platform containing detailed historic TC exposure information and records of all-cause mortality and cardiovascular- and respiratory-related hospitalization among Medicare recipients. We report a high degree of heterogeneity in the acute health impacts of historic TCs, both within and across TCs, and, on average, substantial TC-attributable increases in respiratory hospitalizations. TC-sustained windspeeds are found to be the primary driver of mortality and respiratory risks.

Growth In ACA-Compliant Marketplace Enrollment And Spending Risk Changes During The COVID-19 Pandemic.

In 2020 the COVID-19 pandemic caused millions to lose their jobs and, consequently, their employer-sponsored health insurance. Enacted in 2010, the Affordable Care Act (ACA) created safeguards for such events by expanding Medicaid coverage and establishing Marketplaces through which people could purchase health insurance. Using a novel national data set with information on ACA-compliant individual insurance plans, we found large increases in Marketplace enrollment in 2020 compared with 2019 but with varying percentage increases and spending risk implications across states. States that did not expand Medicaid had enrollment and spending risk increases. States that expanded Medicaid but did not relax 2020 Marketplace enrollment criteria also had spending risk increases. In contrast, states that expanded Medicaid and relaxed 2020 enrollment criteria experienced enrollment increases without spending risk changes. The findings are reassuring with respect to the ability of Marketplaces to buffer employment shocks, but they also provide cautionary signals that risks and premiums could begin to rise either in the absence of Medicaid expansion or when Marketplace enrollment is constrained.