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A Proactive Nursing Home Risk Stratification Model for Disaster Response: Lessons Learned from COVID-19 to Optimize
Joseph E Ibrahim1, Georgia Aitken1
1Department of Forensic Medicine, Monash University, Southbank, Victoria, Australia.
A new risk stratification system is proposed to improve disaster management in nursing homes. This system aims to ensure timely resource allocation, reducing morbidity and mortality during emergencies like pandemics.
Area of Science:
- Emergency Management
- Public Health
- Geriatric Care
Background:
- Global nursing homes faced significant challenges protecting residents during the COVID-19 pandemic.
- Effective disaster response requires timely resource allocation, which has been a global struggle.
- Existing management strategies for nursing home disasters are insufficient.
Purpose of the Study:
- To propose a novel risk stratification system for nursing homes during disaster preparation and management.
- To ensure equitable and timely resource allocation to vulnerable nursing home populations.
- To mitigate the impact of infectious disease outbreaks and other disasters in long-term care facilities.
Main Methods:
- Proposing a risk stratification system based on four key domains: risk of intrusion, outbreak containment capability, organizational capacity, and community support availability.
- Incorporating factors like community transmission levels and geographic location into the risk assessment.
- Utilizing the COVID-19 pandemic as a case study for developing the proposed system.
Main Results:
- The proposed system identifies nursing homes at higher risk for infectious diseases and disasters.
- Targeted resource allocation based on risk stratification can potentially reduce outbreaks and mortality.
- The system aims to preserve critical community supports, including acute hospital services.
Conclusions:
- A coordinated emergency management response is crucial for nursing home disaster preparedness.
- Risk stratification offers a structured approach to optimize resource distribution.
- Further validation and piloting of the proposed risk stratification tool are necessary.
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