142nd APHA Annual Meeting and Exposition

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302093
Applying the Haddon Matrix to Decision Engineering for Hospital Disaster Preparedness

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Wednesday, November 19, 2014 : 10:30 AM - 10:50 AM

Daniel J. Barnett, MD, MPH , Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
Lainie Rutkow, JD, PhD, MPH , Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
Judith Mitrani-Reiser, PhD , Civil Engineering and Emergency Medicine, Johns Hopkins University, Baltimore, MD
The Haddon matrix is a systematic analytic tool for identifying relevant, modifiable factors contributing to injury and illness throughout a disaster's life cycle.  Developed in 1969 by Dr. William Haddon, Jr. of the U.S. National Highway Safety Bureau, the matrix was initially applied toward automotive traffic-related death and injury. In the years since, the Haddon matrix has been used to identify root causes and interventions for a variety of hazards, including driver’s fatigue, safety belts and airbags, youth injuries, death investigations, and construction injuries.

More recently, this model has begun to be applied toward disaster management considerations.  Barnett and colleagues, for example, have described how this matrix could be used to systematically enhance preparedness and response to a broad range of public health threats, including pandemic influenza.

In this presentation, we will describe a novel application of the Haddon matrix as a decision engineering tool for healthcare administrators and related leadership stakeholders to use in optimizing disaster preparedness efforts.  Specifically, we will highlight how this matrix addresses and integrates disaster planning considerations in the following highly relevant domains: human infrastructure, physical infrastructure, and relevant laws and policies in disasters.  We will illustrate this application through Haddon matrix-informed retrospective analyses of a variety of recent disasters, including Hurricane Sandy, Hurricane Katrina, and the 2009 H1N1 influenza pandemic.  Each of these events underscored the need for more systematic and nuanced administrative approaches to adressing the critical interfaces between healthcare workers and the physical and legal/policy environments that affect their functioning in disaster contexts.  We will describe in detail how the Haddon matrix offers a user-friendly tool to address this timely administrative need.

Learning Areas:

Administration, management, leadership
Occupational health and safety
Protection of the public in relation to communicable diseases including prevention or control
Public health or related public policy
Social and behavioral sciences
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
Describe the practical relevance to healthcare administrators of an injury prevention conceptual framework - the Haddon matrix - to decision engineering for hospital disaster preparedness, response, and recovery. Demonstrate how the Haddon matrix can provide a practical analytic framework for identifying administrative-related novel insights from prior disasters impacting hospitals. Discuss how the Haddon matrix can assist healthcare administrators in integrating core principles of behavioral sciences, policy, law, and civil engineering to yield informed decision-making approaches for hospital disaster preparedness.

Keyword(s): Disasters

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am a Co-Principal investigator on an active National Science Foundation grant ("Multi-Criteria Disaster Vulnerability Assessment: Critical Infrastructure, Human Behavior, and Public Policy"). In conjunction with my colleagues on this grant, we have been developing a novel, integrative application of the Haddon matrix as a decision engineering tool for healthcare administrators to use in disaster preparedness efforts.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.