Developing the framework for evaluation of the inherent static resilience of the access to care network

Abstract The efficient response of a community in confronting a disaster mainly depends on the functionality of the healthcare system. The necessity of timely access to care highlights the importance of studying the resilience of the access to care network in pre- and post-disaster stages. This research is conducted to develop a framework to evaluate the inherent resilience of the access to care network in time-independent status. For this purpose, first, the concept of Inherent Static Resilience is developed, and then, the quantitative indicators of measuring the properties of inherent static resilience in the access to care network are proposed. Moreover, as a proof-of-concept, the implementation of the developed framework and indicators is specified for a real case study in one of the districts of Tehran, the capital of Iran. Finally, one of the applications of this framework in developing pre-disaster decision-making is presented with the aim of improving the inherent static resilience of the community. Improving the inherent static resilience achieved by upgrading the system’s serviceability under normal operating conditions, results in enhancing the efficiency of the system in utilizing the available resources and capabilities in the pre-disaster stage, as well as, enhancing the amount of performance provided right after a disaster occurrence and reducing immediate losses and inefficiencies.

[1]  Xun Shi,et al.  Assessing spatial access to public and private hospitals in Sichuan, China: The influence of the private sector on the healthcare geography in China. , 2016, Social science & medicine.

[2]  Gian Paolo Cimellaro,et al.  Quantification of Disaster Resilience of Health Care Facilities , 2009 .

[3]  Gholamreza Heravi,et al.  Evaluation of sustainability indicators of industrial buildings focused on petrochemical projects , 2015 .

[4]  Gian Paolo Cimellaro,et al.  Resilience-Based Design of Natural Gas Distribution Networks , 2015 .

[5]  Andrew D.F. Price,et al.  Hospital resilience to natural hazards: classification and performance of utilities , 2014 .

[6]  Andrew P. Jones,et al.  Validation of travel times to hospital estimated by GIS , 2006, International journal of health geographics.

[7]  R. Snow,et al.  Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis , 2018, The Lancet. Global health.

[8]  John Norstad,et al.  An Introduction to Utility Theory , 2005 .

[9]  F. Agbenyo,et al.  Accessibility mapping of health facilities in rural Ghana , 2017 .

[10]  Qingxue Shang,et al.  Seismic resilience assessment of emergency departments based on the state tree method , 2020 .

[11]  A. Rose.  DEFINING AND MEASURING ECONOMIC RESILIENCE TO DISASTERS , 2004 .

[12]  Simon Kingham,et al.  The approaches to measuring the potential spatial access to urban health services revisited: distance types and aggregation-error issues , 2017, International Journal of Health Geographics.

[13]  Ali Fuat Guneri,et al.  A comprehensive review of emergency department simulation applications for normal and disaster conditions , 2015, Comput. Ind. Eng..

[14]  Jeremy Hsu,et al.  Optimizing access and configuration of trauma centre care in New South Wales. , 2019, Injury.

[15]  Lu Wang,et al.  Immigration, ethnicity, and accessibility to culturally diverse family physicians. , 2007, Health & place.

[16]  Ron Goeree,et al.  MATHEMATICAL MODELING: THE CASE OF EMERGENCY DEPARTMENT WAITING TIMES , 2012, International Journal of Technology Assessment in Health Care.

[17]  D. Fone,et al.  Comparison of perceived and modelled geographical access to accident and emergency departments: a cross-sectional analysis from the Caerphilly Health and Social Needs Study , 2006, International journal of health geographics.

[18]  Gian Paolo Cimellaro,et al.  Seismic resilience of a hospital system , 2010 .

[19]  H. Bleichrodt,et al.  A tractable method to measure utility and loss aversion under prospect theory , 2008 .

[20]  M. Mojtahedi,et al.  Capacity planning and reconfiguration for disaster-resilient health infrastructure , 2019, Journal of Building Engineering.

[21]  Yu Liu,et al.  Access to hospitals: Potential vs. observed , 2020 .

[22]  Dezhi Li,et al.  Is smart city resilient? Evidence from China , 2019, Sustainable Cities and Society.

[23]  A. Rose.  Economic resilience to natural and man-made disasters: Multidisciplinary origins and contextual dimensions , 2007 .

[24]  Qiang Huang,et al.  Assessing the reliability, resilience and vulnerability of water supply system under multiple uncertain sources , 2020 .

[25]  Francesco Romagnoli,et al.  The concept of the system resilience within the infrastructure dimension: application to a Latvian case , 2015 .

[26]  Elise Miller-Hooks,et al.  Measuring the performance of transportation infrastructure systems in disasters: a comprehensive review , 2015 .

[27]  M. Clark,et al.  Development of key indicators of hospital resilience: a modified Delphi study , 2015, Journal of health services research & policy.

[28]  Amjad Anvari-Moghaddam,et al.  Resilience improvement planning of power-water distribution systems with multiple microgrids against hurricanes using clean strategies , 2019, Journal of Cleaner Production.

[29]  N. Hoogerwerf,et al.  Optimizing Transport Time from Accident to Hospital: When to Drive and When to Fly? , 2012 .

[30]  Hamed Kashani,et al.  A system dynamics approach to the seismic resilience enhancement of hospitals , 2018, International Journal of Disaster Risk Reduction.

[31]  Michel Bruneau,et al.  A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities , 2003 .

[32]  Michel Bruneau,et al.  Disaster Resilience of hospitals considering emergency ambulance services , 2013 .

[33]  Michel Bruneau,et al.  Exploring the Concept of Seismic Resilience for Acute Care Facilities , 2007 .

[34]  Madhu C. Reddy,et al.  A Systematic Review of Simulation Studies Investigating Emergency Department Overcrowding , 2010, Simul..

[35]  Shenghua Zhou,et al.  A federated pre-event community resilience approach for assessing physical and social sub-systems: An extreme rainfall case in Hong Kong , 2020 .