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Completed NON-SBIR/STTR RPGS NIH (US)

Developing improved guidelines for nursing home-associated viral respiratory infections: Learning from the COVID-19 experience

$4.48M USD

Funder AGENCY FOR HEALTHCARE RESEARCH AND QUALITY
Recipient Organization University of Missouri-Columbia
Country United States
Start Date Sep 01, 2021
End Date Aug 31, 2025
Duration 1,460 days
Number of Grantees 2
Roles Co-Investigator; Principal Investigator
Data Source NIH (US)
Grant ID 10906057
Grant Description

PROJECT SUMMARY/ABSTRACT The COVID-19 pandemic highlighted the vulnerability of the nearly 1.4 million nursing home (NH) residents to respiratory healthcare associated infections (HAI) such as COVID-19. By August 2020, there were nearly 200,000 confirmed cases of COVID-19 with more than 50,000 reported resident deaths. NH residents are

vulnerable to respiratory HAI because of multiple comorbidities and physical and cognitive frailty. These vulnerabilities are compounded by an institutional environment of common caregivers, shared living spaces, and a setting with a history of being under-resourced and ill-prepared to manage infection outbreaks. While

COVID-19 related NH infections and mortality continue to increase nationwide, no one has reported on the impact of COVID-19 on NHs’ capacity to respond to the pandemic and to understand the impact of their response on clinical, functional, and psychosocial resident outcomes jointly. We are proposing a longitudinal mixed-methods study with the goal to develop knowledge and

recommendations to improve US NHs’ ability to respond to respiratory HAI outbreaks. We have unique access to data recorded by the Quality Improvement Program for Missouri (QIPMO), a state-sponsored cooperative program. In March 2020, QIPMO began documenting NH COVID-19 infections and support provided to

Missouri NHs. By June, there were over 2,400 documented QIPMO encounters providing us an unprecedented opportunity to study how NHs responded to COVID-19. In aim 1, we will use QIPMO data, state key informant interviews, and interviews with over 300 leaders and staff from 24 purposively sampled NHs to assess diverse

NH pandemic responses, including enactment of federal guidance. In aim 2, using an interrupted time-series analysis, we will leverage statistical data from the Minimum Data Set (MDS) to determine the effects of the COVID-19 response on NH resident clinical, functional, and psychosocial outcomes. In aim 3, we will converge

findings from aims 1 and 2 to identify relationships between contextual differences in NH responses and resident health outcomes to describe practices and strategies that either mitigated or contributed to adverse outcomes. Finally, in aim 4 we will convene an expert panel to review and recommend updates to current NH

HAI guidelines and identify new practices and strategies to enhance NHs’ capacity to respond to infectious disease outbreaks including identifying implementation barriers, final dissemination plans and future intervention development. The likelihood that COVID-19 will become endemic and create needs for ongoing management is growing.

Understanding how NHs’ responses influenced outcomes, including long-term resident effects, will inform future intervention development for US NHs to systematically prepare and manage infectious disease outbreaks. This study addresses the AHRQ priority to better prepare NHs for prevention and management,

specifically high-risk respiratory HAI illnesses like COVID-19.

All Grantees

University of Missouri-Columbia

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