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Applying the Haddon Matrix to Hospital Earthquake Preparedness and Response

Published online by Cambridge University Press:  07 April 2020

Gai Cole*
Affiliation:
Department of Emergency Medicine, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD
Andrew J. Rosenblum
Affiliation:
Department of Public Health, Johns Hopkins University, Baltimore, MD
Megan Boston
Affiliation:
School of Engineering, University of Waikato, Hamilton, New Zealand
Daniel J. Barnett
Affiliation:
Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
*
Correspondence and reprint requests to Gai Cole, 1830 East Monument St, 6th Floor, Room 6-115, Baltimore, MD21287 (e-mail: gcole4@jhmi.edu).
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Abstract

Since its 1960s origins, the Haddon matrix has served as a tool to understand and prevent diverse mechanisms of injuries and promote safety. Potential remains for broadened application and innovation of the matrix for disaster preparedness. Hospital functionality and efficiency are particularly important components of community vulnerability in developed and developing nations alike. Given the Haddon matrixʼs user-friendly approach to integrating current engineering concepts, behavioral sciences, and policy dimensions, we seek to apply it in the context of hospital earthquake preparedness and response. The matrixʼs framework lends itself to interdisciplinary planning and collaboration between social and physical sciences, paving the way for a systems-oriented reduction in vulnerabilities. Here, using an associative approach to integrate seemingly disparate social and physical science disciplines yields innovative insights about hospital disaster preparedness for earthquakes. We illustrate detailed examples of pre-event, event, and post-event engineering, behavioral science, and policy factors that hospital planners should evaluate given the complex nature, rapid onset, and broad variation in impact and outcomes of earthquakes. This novel contextual examination of the Haddon matrix can enhance critical infrastructure disaster preparedness across the epidemiologic triad, by integrating essential principles of behavioral sciences, policy, law, and engineering to earthquake preparedness.

Type
Concepts in Disaster Medicine
Copyright
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.

Since its origins in the 1960s, the Haddon matrix has served injury prevention professionals as a tool to better understand strategies to anticipate and prevent injuries and promote safety.Reference Haddon1 Based on the research of William Haddon, Jr., and Hugh De Haven, this tool – once known as the phase-factor matrix – aids users in identifying, organizing, and classifying factors that influence and contribute to outcomes of interest (eg, reducing injuries, infections, and infrastructure damage), during and after selected events (eg, motor vehicle crashes [MVCs], infectious disease outbreaks, disasters).Reference Haddon1,Reference Haddon2 The Haddon matrixʼs primary purpose is to naturally align risk factors with the classic epidemiologic triad of host, agent, and environment (with “environment” subdivided into “physical” and “sociocultural”).Reference Haddon2,Reference Barnett, Balicer and Lucey3 This allows specific event factors to be modified through a consistent epidemiologic framework.Reference Haddon2,Reference Williams4

The Haddon matrixʼs 3 rows depict the 3 time phases used within injury prevention work: pre-event, event, and post-event.Reference Williams4 Information in each cell contributes to decision-making approaches to mitigate negative outcomes due to the event of interest.Reference Runyan5 Such information guides users toward focused task-oriented actions to enhance organizational posture and maximize response. The Haddon matrixʼs organizational structure allows for a “big picture” analysis, as well as more granular exploration of a public health challenge.Reference Barnett, Balicer and Blodgett6

Since the inception of the tool, its application has evolved and expanded. Originally built around the mechanics of MVC injuries, early use focused on the energy damageReference Haddon7 from crashes to improve vehicle safety.Reference Haddon1,Reference Albertsson, Björnstig and Falkmer8-Reference Moghisi, Mohammadi and Svanstrom10 This was an apt early model, as MVCs have a clearly distinct set of pre-event, event, and post-event phases for study. The matrix was subsequently applied to topics such as food securityReference Hecht, Biehl and Barnett11 burns,Reference Deljavan, Sadeghi-Bazargani and Fouladi12,Reference Sadeghi-Bazargani, Azami-Aghdash and Arshi13 falls,Reference Sattin14,Reference Runyan15 firearms injuries,Reference Sorenson16 residential fires,Reference Peck, Kruger and van der Merwe17 school violence,Reference Haddon7 workplace violence,Reference Runyan, Zakocs and Zwerling18 pesticide poisoning,Reference Eddleston, Buckley and Gunnell19 childhood injuries,Reference Dowd, Keenan and Bratton20,Reference Grossman21 and infectious disease outbreaks such as pandemic influenza and severe acute respiratory syndrome.Reference Barnett, Balicer and Lucey3,Reference Tiwari, Tarrant and Yuen22 Recently, the matrix has served as a platform from which to research bioterrorism risk,Reference Pappas, Panagopoulou and Akritidis23 preparedness and response to terrorism,Reference Gofin24,Reference Varney, Hirshon and Dischinger25 radicalism,Reference Post26 and cyber-attacks.Reference Michael, Voas and Laplante27

OPPORTUNITIES FOR EXPANSION AND INNOVATION

The Haddon matrix has a potential for broadened application and innovation. For example, opportunities exist in rigorous, metrics-driven evaluation of critical infrastructure using the matrix. A 2002 study by the National Research Council concluded that better protection of critical infrastructure would make the nation safer.28 The World Health Organization, as a component of its Framework for Action 2005–2015, sought to enhance resilience to disasters for hospitals and health facilities as part of its multi-agency Safe Hospitals Initiative.29 Despite these wide-ranging applications, the Haddon matrix has rarely been used to examine vulnerable infrastructure,Reference Farmer, Nelson and Graham30,Reference Reissman, Kowalski-Trakofler, Katz, Southwick, Litz and Charnet31 including hospitals.Reference Tiwari, Tarrant and Yuen22 This gap is critical given the large global burden of earthquake-associated morbidity, mortality, and displacementReference Doocy, Daniels and Packer32 and adverse impact on critical infrastructure such as hospitals.Reference Kirsch, Mitrani-Reiser and Bissell33

Traditionally, Haddon matrices rely on expertise from the fields of injury prevention, public health, epidemiology, and industrial safety.Reference Haddon1,Reference Barnett, Balicer and Lucey3,Reference Albertsson, Björnstig and Falkmer8,Reference Eddleston, Buckley and Gunnell19,Reference Dowd, Keenan and Bratton20,Reference Lin and Kraus34,Reference Wall35 We propose that a broader set of disciplines – including various engineering disciplines, law, and behavioral sciences – be incorporated into a single matrix. Inclusion of these key components of risk assessment will yield a more comprehensive approach that begins to mitigate the lack of interdisciplinary cross-pollination in the peer-reviewed literature. This paper will illustrate how the Haddon matrix can integrate these seemingly disparate disciplines to yield innovative insights about hospital earthquake preparedness.

HADDON MATRIX INPUTS

Effective hospital preparedness efforts require thoughtful pre-event, event, and post-event strategies aligned with the mitigation and preparedness, response, and recovery phases of emergency management.Reference McLoughlin36 Table 1 presents a conceptual overview of hospital earthquake preparedness within a Haddon matrix framework. As described in detail below, this matrix melds interdisciplinary perspectives from civil, structural and mechanical engineering, law, and the behavioral sciences. Given some factors are immutable, such as geographic faults, preparedness specialists should seek to focus on factors under their control. Specifically, highlighted are opportunities, or potentially modifiable factors, that are accessible through valid testing instruments,37 training, and evaluation. Here we propose focusing on engineering, policy, and behavioral sciences as the particular disciplines most relevant to the identified modifiable factors. By proactively engineering safer facilities and developing policies and behavioral interventions that support resiliency, hospitals will be better prepared through the 3 time phases.

TABLE 1 The Haddon Matrix and Hospital Earthquake Preparedness

* Opportunities – potentially modifiable factors.

HCW = health care workers; MOU = memorandum of understanding.

Engineering

Engineering challenges affecting hospitals during and after earthquakes can vary widely. These challenges can include geotechnical issues, structural failures (including collapse of the building), and nonstructural physical damage. The Haddon matrix can assist in integrating engineering concepts to better advise hospital planners and improve organizational posture to contend with the unique and variable engineering challenges posed by earthquakes. Physical infrastructure for a hospital includes the physical plant (eg, buildings), grounds (eg, parking lots), and mechanical systems (eg, air handling, medical gases, fire suppression). In many seismic areas, the physical infrastructure is vulnerable to damage during an earthquake.Reference Takagi and Wada38 It is particularly important to consider the vulnerability of the built environment in areas with older buildings and infrastructure, economically developing countries, and regions with infrequent earthquakes.Reference Brancati39 In addition to the physical infrastructure of the hospital, it is critical to consider the connecting physical infrastructure (eg, utilities, transportation). All infrastructures are interdependent, and damage to 1 type of infrastructure can spread out and impact other areas of a community, including hospitals.Reference Cimellaro, Reinhorn and Bruneau40,Reference Cimellaro, Solari and Bruneau41 Further, physical damage inside and around the hospital can pose a risk to patients, families, visitors, and staff.

Within the Haddon matrix, engineering concepts map primarily to the Agent/Vehicle and the Physical Environment factors of the hospitalʼs actual infrastructure. Both of these factors connect naturally to geographic factors inherent to the earthquake, such as proximity to fault lines, ground motion factors, and subsequent after effects such as tsunamis, in the pre-event, event, and post-event time frames, respectively. In the pre-event phase, considerations of the hospitalʼs proximity to faults and the local soil conditions are 2 key risk factors within the agent/vehicle domain. Both factors provide relevant feedback on predictable ground behavior (probability of liquefaction, lateral spread, and settlement) during an earthquake, as well as the expected characteristics of the ground motions at the site.Reference Seed and Idriss42,Reference Seed, Romo and Sun43 To account for the soil conditions, fault proximity, and probable ground motions/behavior, the International Building Code requires formal subsurface characterization studies.44 Incorrectly or inaccurately accounting for soil behavior during an earthquake can lead to unanticipated geotechnical failures on and around the hospital grounds. These ground failures may include extensive liquefaction, ground faulting, and ground subsidence, each of which can cause failures of the physical plant, damage to walls and foundations, or overturning of the buildings.Reference Tokimatsu, Mizuno and Kakurai45-Reference Jacques, McIntosh and Giovinazzi47 Such failures are considered in the event phase of the Haddon matrix.

For hospitals to continue to operate during and after an earthquake, the physical infrastructure must maintain its integrity. To assess this, pre-event testing of the primary and redundant physical infrastructure should be considered. Primary infrastructure includes the structural system of the building, the utilities coming into and out of the building (eg, power, water, communications, wastewater, medical gases), and the mechanical distribution systems in the building. The ability of the primary systems to continue to function can be assessed through computer modeling and simulation, historical records, exercises, or risk analysis modeling. Each critical system in a hospital should have a redundant or secondary backup to ensure continuity of operations if the primary systems fail.Reference Bruneau, Chang and Eguchi48 Examples of redundant or secondary systems include using dual systems for the structural frames (eg, combining 2 types of structural systems in a single building),Reference Maley, Sullivan and Corte49-Reference Karakostas, Lekidis and Makarios52 alternative power supplies for critical operations (eg, automatic generator power switching for ventilators), and alternative central or robust portable medical gas systems.

Engineering concerns during the event-phase require considerations of both geotechnical issues and structural performance. Earthquakes cause ground shaking. The intensity and duration of the ground shaking cause damage or failures to the built environment. While both the intensity and the duration of the earthquake shaking is unknowable beforehand, estimations can be made to inform the preparedness discussion because earthquake response plans are developed in the pre-event phase. Ground shaking and other geotechnical failures such as liquefaction, ground settlement, and lateral spread can be considered as response plans are developed. Mitigation measures can be implemented to limit the negative impacts of geotechnical failures during the event.

Building characteristics and structural systems should be considered as event-phase physical environment factors while developing an earthquake response plan because they will be the direct line of defense against the ground shaking and other geotechnical failures. Building characteristics, including the age, height, and construction material, provide information on the projected behavior and performance of the building during an earthquake. A rudimentary study of building performance can be estimated based on the building characteristics. This allows emergency planners to perform a risk assessment for damage or potential collapse prior to conducting a detailed structural analysis.Reference Kircher, Whitman and Holmes53,Reference Barbat, Pujades and Lantada54

An event-phase engineering-informed topic includes buildings using energy- dissipating devices (fuses) to absorb earthquake energy. The fuses limit the damage to critical structural systems during an event by localizing the energy and damage in easy-to-replace components. After an earthquake, these fuses need to be inspected and possibly replaced to ensure future structural integrity of the building.Reference Erochko, Christopoulos and Tremblay55,Reference Qu, Liu and Hou56 Another engineering event-phase and post-event consideration is the seismic susceptibility of the workforce. This refers to the seismic vulnerability of the employees’ residences and is found in the matrix under Sociocultural Environment factors (though it fits under Physical Environment too). Informed assumptions are made about structural resilience based on typical factors for the region, such as height, age or construction, material, and so forth, of residential housing and not on an actual inventory of staff member homes. For example, risk considerations for the staff of Queen Elizabeth Hospital,Reference Yeh and Yuen57,Reference Giridharan, Ganesan and Lau58 who live in Hong Kongʼs high rises, vary from staff at California Pacific Medical Center, who live in San Francisco residential flats, mid-rises, and a suburban tract.59 Estimations for the vulnerability of employee housing can be obtained through computer simulation.Reference Vickery, Skerlj and Lin60 Beyond housing, staff availability in the post-event phase will be dependent on the functionality of the transportation network.Reference Khademi, Balaei and Shahri61

Items specific to post-event activities involve response considerations with direct and severe impacts to patient care and occupant safety. These include facility flooding, gas leaks, and/or fire, utility damage,Reference Dueñas-Osorio and Kwasinski62 and damage to the plant (structural and nonstructural),Reference Schultz, Koenig and Lewis63-Reference Yavari, Chang and Elwood65 mechanical, and electrical systems. Ground failures also disrupt the interconnected physical infrastructure, causing breaks in utilities or impassible roads.Reference Bird and Bommer66 Because emergencies of this nature may require patient and/or staff evacuation,Reference Yanagawa, Kondo and Okawa67 vertical and horizontal egress must be considered. Cross-institutional credentialing and the timeliness to reconstitution will then become critical post-event sociocultural and physical environment considerations.

Policy

Regulatory issues permeate disaster preparedness, response, and recovery.Reference Hodge68 By accounting for the legal environment, the Haddon matrix can assist hospital emergency planners to identify law and policy issues that may impede the provision of care during and shortly after an earthquake.

In Table 1, pre-event factors include an organizational risk assessment, which is typically conducted by hospitals as part of the hazard vulnerability analysis required by the Joint Commission and its international counterparts. This analysis considers factors – including natural and human-caused events – that may impact demand for or the ability to offer hospital services.69 In the pre-event stage, a hospitalʼs internal policies should be critically evaluated, including the flexible allocation of space. By understanding which physical spaces can be repurposed during and after an event to meet dynamic patient care needs, a hospital can better anticipate response options. During the pre-event stage, hospitals can also ensure that they have met or surpassed building code requirements, including retrofitting infrastructure to meet current standards.Reference Hodge, Garcia and Anderson70

Prior to an event such as an earthquake, policies should be established to allow for mutual aid. Typically enacted through memoranda of understanding (MOUs), these policies must be tested to ensure that staff are familiar and resources are rapidly available. During and immediately after an earthquake, an MOU with a neighboring hospital or health system can help an affected hospital meet surge capacity or maintain continuity of operations.Reference Sauer, McCarthy and Knebel71,72 If a hospital is unable to meet demands for care, MOUs can also facilitate evacuation of injured staff or patients, prioritization of limited resources, and resource allocation in the period immediately after a disaster.Reference Jobe83,Reference Niska and Shimizu73 Given the rapid occurrence and unpredictability of a disaster, along with the specialty needs of critical care patients (eg, ventilator or extracorporeal membrane oxygenation dependence), emphasis should be placed on establishing and testing these agreements in advance of disasters.

Post-event, jurisdictional policies for credentialing and licensure may determine whether an affected hospital can maintain a robust health care workforce as the area recovers from the disaster. For example, the Emergency Management Assistance Compact (EMAC) can accelerate deployment of responders to states facing a disaster.74 EMAC facilitates licensure portability, meaning that health care providers from out-of-state receive temporary licensure reciprocity or waiver to allow them to provide care in the state experiencing the disaster with accompanying liability protection. States have enacted additional laws, such as the Uniform Emergency Volunteer Health Practitioners Act, to similarly facilitate deployment of volunteer health care providers to states following a disaster.75

Behavioral Sciences

A hospitalʼs human infrastructure is its most critical resource and is key to hospitals’ resilience and rapid recovery following a disaster such as an earthquake. Because reluctance to present for work could negatively affect the health systemʼs capacity to meet post-earthquake medical needs,Reference Koh, Lim and Chia76 the Haddon matrix can help identify areas where interventions to improve willingness are most needed. From a behavioral sciences perspective, pre-event activities include training to increase the willingness to respond (WTR) and return to work among hospital staff; training to increase familiarity with relevant hazards (ie, earthquake-specific preparedness); and personal/family preparedness. This creates value because many of the factors that influence health care workers’ (HCW) WTR are amenable to interventions (noted as potentially modifiable factors in Table 1).Reference Qureshi, Gershon and Sherman77-Reference Harrison, Errett and Rutkow79 Another pre-event item relevant to the human infrastructure dimension is hospital policies for HCWs and families. Such policies advise decision-making processes relative to HCWs missing work, calling in sick, working overtime, and the rationale behind these (eg, caring for a child or relative). Last, noted on the matrix is workforce proximity to the facility, which may inform workforce planning and availability considerations in an infrastructure-destructive event, such as an earthquake.

Event-phase considerations involve crisis risk communication via the speed of notification of HCWs. Relevant research on the local public health workforce suggests the importance of comfort in role flexibility, which is driven by the institutional ability to instill workers’ self-efficacy in the roles they will perform, and their value to the mission, during earthquake response.Reference Barnett, Thompson and Errett80 From a workforce management standpoint, willingness of HCWs to respond and protective behaviors are listed in Table 1 for consideration and analysis. Protective event behaviors are those of the staff (eg, evacuating buildings or sheltering-in-place, per training protocols) and of the hospital (eg, increased security presence post-event). HCW access to a hospital refers to the ease with which HCWs can secure passage during and after a disaster, such as in jurisdictions that allow hospital staff to travel to work even when driving restrictions are imposed. When access is constrained, the ability to “go get” employees is limited by the resources that hospitals can leverage to collect employees from their homes and transport them to work. In some states, National Guard vehicles transport critical hospital staff (eg, intensive-care-unit nurses) when road conditions are prohibitive (eg, during hurricanes, snow storms).Reference Stuhltrager81 Pre-event personal and family preparedness is a consideration that has a significant impact on workforce dynamics during and after an earthquake, and is noted as highly correlated with event and post-event HCW WTR.Reference Harrison, Errett and Rutkow79,Reference Kinnunen and Mauno82 Increased household and family preparedness reduces work–family conflict and improves HCWs’ ability to focus on their jobs.Reference Kinnunen and Mauno82

Items specific to post-event activities involve the consequence-phase willingness of HCWs to respond and psychological resources. The willingness of HCWs to respond in post-event contexts remains a consideration worthy of preparatory effort and planning and thus remains in this phase. While initial WTR may have been addressed through training and effective disaster risk communication, long-term responsiveness has a tendency to wane.Reference Jobe83 Post-earthquake recovery may take months to years,Reference Chang84 and strategies must be considered to prevent long-term HCW fatigue. Complementing this are considerations given to mitigation and treatment of mental health sequelae. Collectively, these are noted in the matrix as psychological resources.

HADDON MATRIX OUTPUTS

The outputs of the Haddon matrix may be viewed along 4 categories: decision support, conceptual organization, conceptual integration, and opportunities. Foremost, the matrix is a decision support and root-cause analysis tool. Use of the matrix for quantitative and qualitative assessments and decision support for unique challenges has been described elsewhere.Reference Haddon1,Reference Haddon7 Second, the matrix provides conceptual organization to incident management. It allows users to work through the contributing factors and associated details behind each aspect of preparedness, mitigation, and response in a logical, temporally sequenced and organized fashion. The matrix thus helps parcel out complex scenarios into manageable segments.Reference Barnett, Balicer and Lucey3 Third, it provides conceptual integration by facilitating the users’ analytic reviews and assessments of the relationships among each of the various aspects of preparedness, mitigation, and response for the given scenario. For example, pre-event redundancies in the physical infrastructure are correlated with post-event staff WTR and take on expanded and unusual roles. By ensuring staff know that their safety is prioritized and continually evaluated, their self-efficacy will be increased post-event. Ultimately, this logical process enables planners to picture how and where (1) strategies or activities overlap; (2) reliance within or across epidemiologic or event dimensions occur (cascading relianceReference Wilsch, Henry and Herrmann85,Reference Little86 ); (3) sequencing of actions is required; and (4) factors apply in multiple cells making them priorities. Such visualization facilitates an ordered and efficient approach as users uncover singular solutions to address multiple infrastructure and operational issues, be they disparate, interconnected, or inter-reliant.Reference Barnett, Balicer and Blodgett6,Reference Wald, Jaiswal and Allen87 This enables optimal targeting of incident-specific interventions. “Opportunities” comprise the fourth output of the matrix. These are potentially modifiable factors that present prospects for users to leverage resources or improve conditions during pre-event planning to improve organizational preparedness, response, and resilience.

OPPORTUNITIES FOR SYNTHESIS

Recent, highly consequential earthquakes in Iran, Chile, Japan, China, and Nepal suggest that urbanization and growth in geologically vulnerable parts of the globe portend earthquakes’ growing impact on humanity.37 This paperʼs novel contextual examination of the Haddon matrix can enhance critical infrastructure disaster preparedness by assisting hospital leaders, health care facility administrators, and emergency management professionals in integrating essential principles of behavioral sciences, policy, law, and engineering in the context of earthquake preparedness. This multidisciplinary approach is essential due to the complex nature of such disasters, their rapid onset, and the broad variation in impact and outcomes.Reference Kirsch, Mitrani-Reiser and Bissell33,Reference Wald, Jaiswal and Allen87 Given these considerations, there may be value to using an associative approach to the Haddon matrix – one informed by subject matter experts not previously considered – to evaluate a hospitalʼs susceptibility and resilience. By incorporating engineering, law and policy, and behavioral sciences – atypical factors for a Haddon matrix – more comprehensive preparedness can occur from an all-hazards standpoint. The utility of this approach is further underscored given that earthquakes are not as easily simulated in training as are scenarios like mass casualty shootings, chemical/biological contamination, or a loss of utilities. The principles discussed here are not, however, limited to earthquakes; rather, they have applicability across a spectrum of risks.

CONCLUSION

The Haddon matrix provides a user-friendly way to integrate current engineering concepts, behavioral sciences, and legal/policy dimensions in the context of hospital preparedness for earthquakes. To the best of our knowledge, this is the first such application of the Haddon matrix. Using the matrixʼs framework to apply risk assessment principles to hospital preparedness for earthquakes enables an interdisciplinary collaboration between the social and physical sciences. This systematic approach allows modifiable and non-modifiable factors to be readily identified to reduce hospital-based vulnerabilities to earthquakes. As described above, this goal can be accomplished through the collaborative use of the Haddon matrix to facilitate infusion of various disciplines into emergency operation plans, policies, procedures, and standards of hospital emergency planners. While hospitals reflect just 1 aspect of overall community vulnerability to earthquakes, they are a critical element in developed and developing nations alike. Our articulation of the Haddon matrixʼs relevance to hospital disaster planning can be extended in future work to systematically examine other societal vulnerabilities to earthquakes through the tripartite perspectives of engineering, human behavior, and law and policy.

Financial Support

This work was supported by a grant from the National Science Foundation (#1234228).

Conflict of Interest Statement

The author has no conflict of interest to declare.

References

REFERENCES

Haddon, W. Options for the prevention of motor vehicle crash injury. Isr J Med Sci. 1980;16(1):45-65.Google ScholarPubMed
Haddon, W Jr. Advances in the epidemiology of injuries as a basis for public policy. Public Health Rep. 1980;95(5):411.Google ScholarPubMed
Barnett, DJ, Balicer, RD, Lucey, DR, et al. A systematic analytic approach to pandemic influenza preparedness planning. PLoS Med. 2005;2(12):e359. doi: 10.1371/journal.pmed.0020359.CrossRefGoogle ScholarPubMed
Williams, AF. The Haddon matrix: its contribution to injury prevention and control. In: McClure R, ed. Third National Conference on Injury Prevention and Control. Brisbane, Queensland; 1999:15-16.Google Scholar
Runyan, CW. Using the Haddon matrix: introducing the third dimension. Inj Prev. 1998;4(4):302-307.CrossRefGoogle ScholarPubMed
Barnett, DJ, Balicer, RD, Blodgett, D, et al. The application of the Haddon matrix to public health readiness and response planning. Environ Health Perspect. 2005;113(5):561-566.CrossRefGoogle ScholarPubMed
Haddon, W Jr. Energy damage and the 10 countermeasure strategies, 1973. Inj Prev. 1995;1(1):40-44.CrossRefGoogle Scholar
Albertsson, P, Björnstig, U, Falkmer, T. The Haddon matrix, a tool for investigating severe bus and coach crashes. Int J Disaster Med. 2003;1(2):109-119.CrossRefGoogle Scholar
Runyan, CW, Yonas, M. Conceptual frameworks for developing and comparing approaches to improve adolescent motor-vehicle safety. Am J Prev Med. 2008;35(3):S336-S342.CrossRefGoogle ScholarPubMed
Moghisi, A, Mohammadi, R, Svanstrom, L. Motorcyclists' safety in Iran: implication of Haddon matrix in safe community setting. Med J Islam Repub Iran. 2004;28:37.Google Scholar
Hecht, AA, Biehl, E, Barnett, DJ, et al. Urban food supply chain resilience for crises threatening food security: a qualitative study. J Acad Nutr Diet. 2019;119(2):211-224.CrossRefGoogle ScholarPubMed
Deljavan, R, Sadeghi-Bazargani, H, Fouladi, N, et al. Application of Haddonʼs matrix in qualitative research methodology: an experience in burns epidemiology. Int J Gen Med. 2012;5:621-627.Google ScholarPubMed
Sadeghi-Bazargani, H, Azami-Aghdash, S, Arshi, S, et al. Exploring possible causes of fatal burns in 2007 using Haddonʼs matrix: a qualitative study. J Inj Violence Res. 2015;7(1):1.Google ScholarPubMed
Sattin, RW. Falls among older persons: a public health perspective. Annu Rev Public Health. 1992;13(1):489-508.CrossRefGoogle ScholarPubMed
Runyan, CW. Introduction: back to the future – revisiting Haddonʼs conceptualization of injury epidemiology and prevention. Epidemiol Rev. 2003;25(1):60-64.Google ScholarPubMed
Sorenson, SB. Preventing traumatic stress: public health approaches. J Trauma Stress. 2002;15(1):3-7.CrossRefGoogle ScholarPubMed
Peck, MD, Kruger, GE, van der Merwe, AE, et al. Burns and injuries from non-electric-appliance fires in low- and middle-income countries: part II. A strategy for intervention using the Haddon matrix. Burns. 2008;34(3):312-319.CrossRefGoogle Scholar
Runyan, CW, Zakocs, RC, Zwerling, C. Administrative and behavioral interventions for workplace violence prevention. Am J Prev Med. 2000;18(4):116-127.CrossRefGoogle ScholarPubMed
Eddleston, M, Buckley, NA, Gunnell, D, et al. Identification of strategies to prevent death after pesticide self-poisoning using a Haddon matrix. Inj Prev. 2006;12(5):333-337.CrossRefGoogle ScholarPubMed
Dowd, MD, Keenan, HT, Bratton, SL. Epidemiology and prevention of childhood injuries. Crit Care Med. 2002;30(11):S385-S392.CrossRefGoogle ScholarPubMed
Grossman, DC. The history of injury control and the epidemiology of child and adolescent injuries. Future Child. 2000;10(1):23-52.CrossRefGoogle ScholarPubMed
Tiwari, A, Tarrant, M, Yuen, KH, et al. Preparedness for influenza pandemic in Hong Kong nursing units. J Nurs Scholarsh. 2006;38(4):308-313.Google Scholar
Pappas, G, Panagopoulou, P, Akritidis, N. Reclassifying bioterrorism risk: are we preparing for the proper pathogens? J Infect Public Health. 2009;2(2):55-61.Google ScholarPubMed
Gofin, R. Preparedness and response to terrorism. Eur J Public Health. 2005;15(1):100-104.CrossRefGoogle ScholarPubMed
Varney, S, Hirshon, JM, Dischinger, P, et al. Extending injury prevention methodology to chemical terrorism preparedness: the Haddon matrix and sarin. Am J Disaster Med. 2005;1(1):18-27.CrossRefGoogle Scholar
Post, JM. Countering Islamist militancy. An epidemiologic approach. In: Timmerman C, Hutsebaut D, Mels S, et al., eds. Faith Based Radicalism. Christianity, Islam and Judaism: Between Constructive Activism and Destructive Fanaticism. Brussels: PIE Peter Lang; 2007:191-206.Google Scholar
Michael, B, Voas, J, Laplante, P. Cyberpandemics: history, inevitability, response. Secur Privacy. 2009;7(1):63-67.CrossRefGoogle Scholar
National Research Council (US). Committee on Science & Technology for Countering Terrorism. Making the Nation Safer: The Role of Science and Technology in Countering Terrorism. Washington, DC: National Academies Press; 2002.Google Scholar
World Health Organization. Risk reduction and emergency preparedness: WHO six-year strategy for the health sector and community capacity development. Published 2007. http://apps.who.int/iris/bitstream/10665/43736/1/9789241595896_eng.pdf?ua=1. Accessed February 8, 2019.Google Scholar
Farmer, BM, Nelson, LS, Graham, ME, et al. Developing a consensus framework and risk profile for agents of opportunity in academic medical centers: implications for public health preparedness. Disaster Med Public Health Prep. 2010;4(04):318-325.CrossRefGoogle ScholarPubMed
Reissman, DB, Kowalski-Trakofler, KM, Katz, CL. Public health practice and disaster resilience: a framework integrating resilience as a worker protection strategy. In: Southwick, SM, Litz, BT, Charnet, D, et al., eds. Resilience and Mental Health: Challenges Across the Lifespan. Cambridge, UK: Cambridge University Press; 2011:340.CrossRefGoogle Scholar
Doocy, S, Daniels, A, Packer, C, et al. The human impact of earthquakes: a historical review of events 1980–2009 and systematic literature review. PLoS Curr. 2013;5.Google ScholarPubMed
Kirsch, TD, Mitrani-Reiser, J, Bissell, R, et al. Impact on hospital functions following the 2010 Chilean earthquake. Disaster Med Public Health Prep. 2010;4(2):122-128.CrossRefGoogle ScholarPubMed
Lin, MR, Kraus, JF. A review of risk factors and patterns of motorcycle injuries. Accid Anal Prev. 2009;41(4):710-722.Google ScholarPubMed
Wall, LL. Preventing obstetric fistulas in low-resource countries: insights from a Haddon matrix. Obstet Gynecol Surv. 2012;67(2):111-121.CrossRefGoogle ScholarPubMed
McLoughlin, D. A framework for integrated emergency management. Public Admin Rev. 1985;45:165-172.CrossRefGoogle Scholar
US Department of Homeland Security. Homeland Security Exercise and Evaluation Program (HSEEP). November 2019. https://www.fema.gov/hseep. Accessed December 27, 2019.Google Scholar
Takagi, J, Wada, A. Recent earthquakes and the need for a new philosophy for earthquake-resistant design. Soil Dyn Earthq Eng. 2018;119:499-507.CrossRefGoogle Scholar
Brancati, D. Political aftershocks: the impact of earthquakes on intrastate conflict. J Confl Resolut. 2007;51(5):715-743.CrossRefGoogle Scholar
Cimellaro, GP, Reinhorn, AM, Bruneau, M. Seismic resilience of a hospital system. Struct Infrastruct Eng. 2010;6(1-2):127-144.Google Scholar
Cimellaro, GP, Solari, D, Bruneau, M. Physical infrastructure interdependency and regional resilience index after the 2011 Tohoku earthquake in Japan. Earthq Eng Struct Dyn. 2014;43(12):1763-1784.Google Scholar
Seed, HB, Idriss, IM. Influence of soil conditions on ground motions during earthquakes. J Soil Mech Found Div. 1969;95(1):99-138.CrossRefGoogle Scholar
Seed, HB, Romo, MP, Sun, JI, et al. The Mexico earthquake of September 19, 1985 – relationships between soil conditions and earthquake ground motions. Earthq Spectra. 1988;4(4):687-729.CrossRefGoogle Scholar
International Code Council. International Building Code. Country Club Hills, IL: International Code Council, Inc.; 2017.Google Scholar
Tokimatsu, K, Mizuno, H, Kakurai, M. Building damage associated with geotechnical problems. Soils Found. 1996;36(Special):219-234. doi: 10.1016/j.sandf.2012.11.014.CrossRefGoogle Scholar
Tokimatsu, K, Tamura, S, Suzuki, H, et al. Building damage associated with geotechnical problems in the 2011 Tohoku Pacific Earthquake. Soils Found. 2012;52(5):956-974.CrossRefGoogle Scholar
Jacques, CC, McIntosh, J, Giovinazzi, S, et al. Resilience of the Canterbury hospital system to the 2011 Christchurch earthquake. Earthq Spectra. 2014;30(1):533-554.Google Scholar
Bruneau, M, Chang, SE, Eguchi, RT, et al. A framework to quantitatively assess and enhance the seismic resilience of communities. Earthq Spectra. 2003;19(4):733-752.CrossRefGoogle Scholar
Maley, TJ, Sullivan, TJ, Corte, GD. Development of a displacement-based design method for steel dual systems with buckling-restrained braces and moment-resisting frames. J Earthq Eng. 2010;14(S1):106-140. doi: 10.1080/13632461003651687.Google Scholar
Kiggins, S, Uang, CM. Reducing residual drift of buckling-restrained braced frames as a dual system. Eng Struct. 2006;28(11):1525-1532.CrossRefGoogle Scholar
Boston, M, Richards, PW. Seismic response of BRBFs coupled with heavy gravity columns. In: Proceedings of the 15th World Conference on Earthquake Engineering. Lisbon, Portugal. September 27, 2012.Google Scholar
Karakostas, C, Lekidis, V, Makarios, T, et al. Seismic response of structures and infrastructure facilities during the Lefkada, Greece earthquake of 14/8/2003. Eng Struct. 2005;27(2):213-227.CrossRefGoogle Scholar
Kircher, CA, Whitman, RV, Holmes, WT. HAZUS earthquake loss estimation methods. Nat Hazards Rev. 2006;7(2):45-59.CrossRefGoogle Scholar
Barbat, AH, Pujades, LG, Lantada, N. Performance of buildings under earthquakes in Barcelona, Spain. Comput Aided Civ Inf Eng. 2006;21(8):573-593.CrossRefGoogle Scholar
Erochko, J, Christopoulos, C, Tremblay, R. , Design, testing, and detailed component modeling of a high-capacity self-centering energy-dissipative brace. J Struct Eng. 2014;141(8):04014193.CrossRefGoogle Scholar
Qu, B, Liu, X, Hou, H, et al. Testing of buckling-restrained braces with replaceable steel angle fuses. J Struct Eng. 2018;144(3):04018001.CrossRefGoogle Scholar
Yeh, AG, Yuen, B. Tall building living in high density cities: a comparison of Hong Kong and Singapore. In: High-Rise Living in Asian Cities. Dordrecht, Netherlands: Springer; 2011:9-23.CrossRefGoogle Scholar
Giridharan, R, Ganesan, S, Lau, SSY. Daytime urban heat island effect in high-rise and high-density residential developments in Hong Kong. Energ Buildings. 2004;36(6):525-534.CrossRefGoogle Scholar
City and County of San Francisco Planning Department San Francisco General Plan: 2014 housing element, part I: data and needs analysis. Published 2015. http://www.sf-planning.org/ftp/General_Plan/2014HousingElement-AllParts_ADOPTED_web.pdf. Accessed February 8, 2019.Google Scholar
Vickery, PJ, Skerlj, PF, Lin, J, et al. HAZUS-MH hurricane model methodology. II: damage and loss estimation. Nat Hazards Rev. 2006;7(2):94-103.CrossRefGoogle Scholar
Khademi, N, Balaei, B, Shahri, M, et al. Transportation network vulnerability analysis for the case of a catastrophic earthquake. Int J Disaster Risk Reduct. 2015;12:234-254.CrossRefGoogle Scholar
Dueñas-Osorio, L, Kwasinski, A. Quantification of lifeline system interdependencies after the 27 February 2010 Mw 8.8 offshore Maule, Chile, earthquake. Earthq Spectra. 2012;28(S1):S581-S603.CrossRefGoogle Scholar
Schultz, CH, Koenig, KL, Lewis, RJ. Implications of hospital evacuation after the Northridge, California, earthquake. N Engl J Med. 2003;348(14):1349-1355.CrossRefGoogle ScholarPubMed
Achour, N, Miyajima, M, Kitaura, M, et al. Earthquake-induced structural and nonstructural damage in hospitals. Earthq Spectra. 2011;27(3):617-634.CrossRefGoogle Scholar
Yavari, S, Chang, SE, Elwood, KJ. Modeling post-earthquake functionality of regional health care facilities. Earthq Spectra. 2010;26(3):869-892.CrossRefGoogle Scholar
Bird, JF, Bommer, JJ. Earthquake losses due to ground failure. Eng Geol. 2004;75(2):147-179.CrossRefGoogle Scholar
Yanagawa, Y, Kondo, H, Okawa, T, et al. Lessons learned from the total evacuation of a hospital after the 2016 Kumamoto earthquake. J Emerg Manag. 2017;15(4):259-263.CrossRefGoogle ScholarPubMed
Hodge, JG. Legal triage during public health emergencies and disasters. Admin Law Rev. 2006;58:627-644.Google Scholar
California Hospital Association, Preparing Hospitals for Disasters. Hazard vulnerability analysis. January 2017. http://www.calhospitalprepare.org/hazard-vulnerability-analysis. Accessed August 8, 2017.Google Scholar
Hodge, JG, Garcia, AM, Anderson, ED, et al. Emergency legal preparedness for hospitals and health care personnel. Disaster Med Public Health Prep. 2009;3(S1):S37-S44.CrossRefGoogle ScholarPubMed
Sauer, LM, McCarthy, ML, Knebel, A, et al. Major influences on hospital emergency management and disaster preparedness. Disaster Med Public Health Prep. 2009;3(S1):S68-S73.CrossRefGoogle ScholarPubMed
Joint Commission on Accreditation of Healthcare Organizations. Surge hospitals: providing safe care in emergencies. Published 2006. http://www.jointcommission.org/assets/1/18/surge_hospital.pdf. Accessed February 22, 2019.Google Scholar
Niska, RW, Shimizu, I. Hospital preparedness for emergency response: United States, 2008. Natl Health Stat Rep. 2011;24(37):1-14.Google Scholar
Emergency Management Assistance Compact. 1996. http://www.emacweb.org. Accessed December 6, 2019.Google Scholar
Uniform Emergency Volunteer Health Practitioners Act. National Conference of Commissioners on Uniform State Laws. Published 2007. https://www.uniformlaws.org/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=fff8c947-ec9b-0614-34d1-ed200f3b4c41&forceDialog=0. Accessed December 29, 2019.Google Scholar
Koh, D, Lim, MK, Chia, SE, et al. Risk perception and impact of severe acute respiratory syndrome (SARS) on work and personal lives of healthcare workers in Singapore: what can we learn? Med Care. 2005;43(7):676-682.CrossRefGoogle ScholarPubMed
Qureshi, K, Gershon, MR, Sherman, MF, et al. Health care workers’ ability and willingness to report to duty during catastrophic disasters. J Urban Health. 2005;82(3):378-388.CrossRefGoogle ScholarPubMed
Barnett, DJ, Thompson, CB, Semon, NL, et al. EPPM and willingness to respond: the role of risk and efficacy communication in strengthening public health emergency response systems. Health Commun. 2014;29(6):598-609.CrossRefGoogle ScholarPubMed
Harrison, KL, Errett, NA, Rutkow, L. An intervention for enhancing public health crisis response willingness among local health department workers: a qualitative programmatic analysis. Am J Disaster Med. 2014;9(2):87-96.CrossRefGoogle ScholarPubMed
Barnett, DJ, Thompson, CB, Errett, NA, et al. Determinants of emergency response willingness in the local public health workforce by jurisdictional and scenario patterns: a cross-sectional survey. BMC Public Health. 2012;12(1):164.CrossRefGoogle ScholarPubMed
Stuhltrager, J. Send in the Guard: The National Guard response to natural disasters. Nat Resour Environ. 2006;20(4):21-77.Google Scholar
Kinnunen, U, Mauno, S. Antecedents and outcomes of work-family conflict among employed women and men in Finland. Hum Relat. 1998;51(2):157-177.CrossRefGoogle Scholar
Jobe, K. Disaster relief in post-earthquake Haiti: unintended consequences of humanitarian volunteerism. Travel Med Infect Dis. 2011;9(1):1-5.CrossRefGoogle ScholarPubMed
Chang, SE. Urban disaster recovery: a measurement framework and its application to the 1995 Kobe earthquake. Disasters. 2010;34(2):303-327.CrossRefGoogle ScholarPubMed
Wilsch, A, Henry, MJ, Herrmann, B, et al. Slow‐delta phase concentration marks improved temporal expectations based on the passage of time. Psychophysiology. 2015;52(7):910-918.CrossRefGoogle ScholarPubMed
Little, RG. Controlling cascading failure: understanding the vulnerabilities of interconnected infrastructures. J Urban Technol. 2002;9(1):109-123.CrossRefGoogle Scholar
Wald, DJ, Jaiswal, KS, Allen, TI, et al. Prompt Assessment of Global Earthquakes for Response (PAGER): a system for rapidly determining the impact of earthquakes worldwide. Reston, VA: US Geological Survey; 2009.Google Scholar
Figure 0

TABLE 1 The Haddon Matrix and Hospital Earthquake Preparedness