Proactivity of Home Health Care systems facing health crisis
Today, the accumulation of risks associated with factors such as increasing urbanization, climate change and variability, terrorism, animal and human epidemics or pandemics and enlarged mobility of people and goods have increased the disruptive and even destructive impact of various types of disasters. Crisis management plans are developed to better manage the crisis or even to avoid it. The purpose of this research is to develop decision aid tools to support the different phases of the crisis management plan for home health care (HHC) structures, mainly for preparation and response phases. A set of scenarios, considering the different sources of crises and the impacted business processes, with regard to their frequency and their human and material impacts, have been defined.
An original approach of vulnerability analysis based on graph theory and matrix methods has been developed. The objective is to measure the impact of different crises on the HHC structure in terms of actors and exchanged flows. Based on this assessment phase we have proposed a classification of HHC actors. Different methods have been proposed for the design of mitigation strategies and countermeasures for each class of actors.
The problem of access to care in the context of a scenario of massive intoxication is considered. A linear programming model has been proposed to simulate the studied scenario and evaluate its consequences. It models a foodborne infection and its medical response as part of an HHC-Hospital collaboration, in the framework of an extended white plan.
The issue of access to patients' homes has been investigated in the context of a flood-like scenario. The proposed tool provides an evacuation plan for critical patients to evacuate and a home support plan for low-risk patients who will be kept at home, using clustering based on each patient's risk assessment.
KEYWORDS : Home health care, healthcare logistics, crises, crisis management plan, resilience, robustness, vulnerability, proactivity, graph theory, mathematical modeling.