Vulnerabilities to disasters in healthcare facilities in the face of the COVID-19 pandemic: a scoping review. / Vulnerabilidades a desastres em estabelecimentos de saúde frente à pandemia de COVID-19: revisão de escopo.

This article maps the structural, nonstructural and functional vulnerabilities of healthcare facilities to the COVID-19 pandemic. It reports on a scoping review guided by JBI recommendations and structured by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. The PubMed, CINAHL, LILACS, EMBASE, SciELO, Scopus and Web of Science Repositories and databases were consulted, as was the grey literature. The protocol was registered in the Open Science Framework. The 54 studies included summarised 36 vulnerabilities in three categories in 29 countries. Functional and non-structural vulnerabilities were the most recurrent. Limited material and human resources, service disruption, non-COVID procedures and inadequate training were the items with most impact. COVID-19 exposed nations to the need to strengthen health systems to ensure their resilience in future health crises. Prospective risk management and systematic analysis of health facility vulnerabilities are necessary to ensure greater safety, sustainability and improved standards of preparedness and response to events of this nature.

O objetivo do artigo é mapear as vulnerabilidades estruturais, não-estruturais e funcionais de estabelecimentos de saúde frente à pandemia de COVID-19. Revisão de escopo conduzida mediante recomendações do JBI e estruturada pelos Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Foram consultados repositórios e bases de dados: PubMed, CINAHL, LILACS, EMBASE, SciELO, Scopus e Web of Science, além de literatura cinzenta. O protocolo foi registrado em Open Science Framework, 54 estudos foram incluídos, sumarizando 36 vulnerabilidades entre as três categorias, em 29 países. As vulnerabilidades funcionais e não-estruturais foram as mais recorrentes. Recursos materiais e humanos limitados, interrupção dos serviços e procedimentos não-COVID, além de capacitação profissional insuficiente foram os itens que mais impactaram. A COVID-19 expôs às nações a necessidade de fortalecer os sistemas de saúde para garantir sua resiliência em futuras crises sanitárias. Ações de gestão de risco prospectivas e análise sistematizada de vulnerabilidades dos estabelecimentos de saúde são necessárias para garantir maior segurança, sustentabilidade e melhor padrão de preparação e resposta a futuros eventos dessa natureza.

Assessment of the response to kidney patients' needs in disaster-stricken Syria.

PURPOSE OF REVIEW: The major fighting activities in the Syrian conflict have subsided, but the country continues to deal with significant political, economic, and psychosocial consequences that gravely impact the healthcare system, including the care of patients with kidney disease. The purpose of this manuscript is to review some of the problems faced by kidney patients in postconflict Syria and their available and proposed remedies. RECENT FINDINGS: Many challenges, such as unfair, poorly planned, and poorly organized distribution of resources, suboptimal quality-monitoring infrastructure, psychosocial barriers, and workforce shortages, impede the delivery of quality care and negatively impact outcomes. The negative impact of these problems is not uniform and tends to affect certain areas more than others because of geopolitical factors imposed by the conflict. SUMMARY: After prolonged conflicts, healthcare resources remain limited for prolonged periods, leading to inadequate care, poor outcomes, and worsening inequities. Involvement of the international community and expatriate nephrologists is essential to guide care delivery and improve outcomes. The lessons learned from the Syrian conflict apply to many limited resources and disaster situations.

Evaluating an equity-focused approach to assess climate resilience and disaster priorities through a community survey.

As the Duwamish Valley community in Seattle, Washington, U.S.A. and other environmental justice communities nationally contend with growing risks from climate change, there have been calls for a more community-centered approach to understanding impacts and priorities to inform resilience planning. To engage community members and identify climate justice and resilience priorities, a partnership of community leaders, government-based practitioners, and academics co-produced a survey instrument and collected data from the community using the Seattle Assessment for Public Health Emergency Response (SASPER), an approach adapted from the Centers for Disease Control and Prevention's Community Assessment for Public Health Emergency Response (CASPER). In addition, we conducted a process and outcome project evaluation using quantitative survey data collected from volunteers and qualitative semi-structured interviews with project team members. In October and November 2022, teams of volunteers from partner organizations collected 162 surveys from households in the Duwamish Valley. Poor air quality, extreme heat, and wildfires were among the highest reported hazards of concern. Most Duwamish Valley households agreed or strongly agreed that their neighborhood has a strong sense of community (64%) and that they have people nearby to call when they need help (69%). Forty-seven percent of households indicated willingness to get involved with resilience planning, and 62% of households said that they would use a Resilience Hub during an emergency. Survey volunteers evaluated their participation positively, with over 85% agreeing or strongly agreeing that they learned new skills, were prepared for the survey, and would participate in future assessments. The evaluation interviews underscored that while the SASPER may have demonstrated feasibility in a pre-disaster phase, CASPER may not meet all community/partner needs in the immediate disaster response phase because of its lack of focus on equity and logistical requirements. Future research should focus on identifying less resource intensive data collection approaches that maintain the rigor and reputation of CASPER while enabling a focus on equity.

Medical needs during the Kumamoto heavy rain 2020: analysis from emergency medical teams' responses.

BACKGROUND: Rainfall-induced floods represented 70% of the disasters in Japan from 1985 to 2018 and caused various health problems. To improve preparedness and preventive measures, more information is needed on the health problems caused by heavy rain. However, it has proven challenging to collect health data surrounding disasters due to various inhibiting factors such as environmental hazards and logistical constraints. In response to the Kumamoto Heavy Rain 2020, Emergency Medical Teams (EMTs) used J-SPEED (Japan-Surveillance in Post Extreme Emergencies and Disasters) as a daily reporting tool, collecting patient data and sending it to an EMTCC (EMT Coordination Cell) during the response. We performed a descriptive epidemiological analysis using J-SPEED data to better understand the health problems arising from the Kumamoto Heavy Rain 2020 in Japan. METHODS: During the Kumamoto Heavy Rain 2020 from July 5 to July 31, 2020, 79 EMTs used the J-SPEED form to submit daily reports to the EMTCC on the number and types of health problems they treated. We analyzed the 207 daily reports, categorizing the data by age, gender, and time period. RESULTS: Among the 816 reported consultations, women accounted for 51% and men accounted for 49%. The majority of patients were elderly (62.1%), followed by adults (32.8%), and children (5%). The most common health issues included treatment interruption (12.4%), hypertension (12.0%), wounds (10.8%), minor trauma (9.6%), and disaster-related stress symptoms (7.4%). Consultations followed six phases during the disaster response, with the highest occurrence during the hyperacute and acute phases. Directly disaster-related events comprised 13.9% of consultations, indirectly related events comprised 52.0%, and unrelated events comprised 34.0%. As the response phases progressed, the proportions of directly and indirectly related events decreased while that of unrelated events increased. CONCLUSION: By harnessing data captured by J-SPEED, this research demonstrates the feasibility of collecting, quantifying, and analyzing data using a uniform format. Comparison of the present findings with those of two previous analyses of J-SPEED data from other disaster scenarios that varied in time, location, and/or disaster type showcases the potential to use analysis of past experiences to advancing knowledge on disaster medicine and disaster public health.

Utilization of the Disaster Medical Assistance Team (DMAT) in an Inner-City Emergency Department During the COVID-19 Pandemic.

OBJECTIVE: To evaluate the effect of the Disaster Medical Assistance Team (DMAT) in an inner-city emergency department during the coronavirus disease (COVID-19) pandemic. METHODS: Data were abstracted from individual emergency department encounters over 6 weeks. The study compared left without being seen (LWBS) percentage, door-to-provider, and door-to-disposition times for 2 weeks before, during, and after the DMAT. RESULTS: The LWBS percentages for the 2 weeks before and after the DMAT were 16.2% and 11.6%, respectively. The LWBS percentage during the DMAT was 8.1%. Door-to-disposition times for the 2 weeks before and after the DMAT were 7.36 hours and 8.53 hours, respectively. The door-to-disposition during the DMAT was 7.33 hours. Door-to-disposition was statistically significant during the 2 weeks of the DMAT compared to the 2 weeks after the DMAT (7.33 vs 8.53, P < 0.05) but not statistically significant when compared to the period before the DMAT (7.36 vs 7.33, P = 1.00). Door-to-provider time was the longest during the DMAT (122.5 minutes [2.04 hours]) when compared to the time frame before the DMAT (114.54 minutes [1.91 hours]) and after the DMAT (102.84 minutes [1.71 hours]). CONCLUSION: The DMAT had the most positive impact on LWBS percentages. The DMAT showed no improvement in door-to-provider times in the study and only in door-to-disposition times when comparing the time the DMAT was present to after the DMAT departed.

Health Disparities in the Aftermath of Flood Events: A Review of Physical and Mental Health Outcomes with Methodological Considerations in the USA.

PURPOSE OF REVIEW: This review applies an environmental justice perspective to synthesize knowledge of flood-related health disparities across demographic groups in the USA. The primary aim is to examine differential impacts on physical and mental health outcomes while also assessing methodological considerations such as flood exposure metrics, baseline health metrics, and community engagement. RECENT FINDINGS: In our review (n = 27), 65% and 72% of studies identified racial, ethnic, or socio-economic disparities in physical and mental health outcomes post-flooding, respectively. The majority of racial/ethnic disparities were based on Black race, while most socio-economic disparities were based on lower household income. Forty-two percent of studies lacked flood exposure metrics, but often identified disparities. Common flood exposure metrics included self-reported flooding, flood risk models, and satellite-based observations. Seventy percent of studies lacked baseline health measurements or suitable alternatives, and only 19% incorporated community engagement into their research design. The literature consistently finds that both physical and mental health burdens following flooding are unequally shared across racial, ethnic, and socio-economic groups. These findings emphasize the need for disaster risk reduction policies that address underlying vulnerabilities to flooding, unequal exposure to flooding, and progressive funding for recovery efforts. Findings also underscore the importance of methodological enhancements to facilitate precise assessments of flood exposure and health outcomes.

Study on agricultural drought disaster risk assessment in Heilongjiang reclamation area based on SSAPSO optimization projection pursuit model.

Heilongjiang reclamation area serves as a crucial hub for commodity grain production and strategic reserves in China, playing a vital role in maintaining national food security. Investigating the assessment of agricultural drought risk in this region can yield valuable insights into spatial and temporal variations in drought risk. Such insights can aid in formulating effective strategies for disaster prevention and mitigation, thereby minimizing food losses caused by drought disasters. This study employs a comprehensive indicator system comprising 17 indicators categorized into hazard, exposure, vulnerability, and resistance capacity. The projection pursuit model is applied to evaluate regional drought risk, while the PSO algorithm, optimized by the SSA algorithm, addresses the limitations of low local search ability and search accuracy during the large-scale search process of the PSO optimization algorithm. This study examines and compares the optimization and convergence capabilities of three algorithms: real number encoding-based genetic algorithm (RAGA), particle swarm optimization algorithm (PSO), and sparrow algorithm-based improved particle swarm optimization algorithm (SSAPSO). The analysis demonstrates that SSAPSO exhibits superior optimization performance and convergence properties, establishing it as a highly effective algorithm for optimization tasks. The findings reveal the following trends: over time, agricultural drought risk in Heilongjiang reclamation area has generally declined, with fluctuations observed in hazard and vulnerability, an increase in exposure, and a continuous enhancement of resistance capacity. Spatially, the western region exhibits significantly higher agricultural drought risk compared to the eastern region, primarily due to elevated hazard and vulnerability, coupled with lower resistance capacity. As the agricultural economy grows and agricultural expertise accumulates, the risk of agricultural drought decreases. However, variations in economic growth among different regions lead to diverse spatial distributions of risk.

Emergency management and sustainability: Understanding the link between disaster and citizen participation for sustainability efforts and climate change.

The goal of this study is to examine how disaster experience influences local government views on citizen participation in addressing issues of sustainability, such as climate change. This study considers concepts such as wicked problems, the social order, the environment, economic development, and citizen participation where sustainability can be considered a solution to help manage and solve the challenges of disaster, like climate change. The data are taken from a 2015 International City/County Management Association national survey that examines the link between disaster and sustainability. The results show that more than half of the respondents do not view public participation as having much of an impact on sustainability; however, we can expect public participation to increasingly impact sustainability efforts as communities experience more disaster. This suggests that emergency management needs to understand public pressures regarding wicked problems, such as climate change, to collectively address the global influence of environmental, economic, and social issues that have local effects on their communities.

Identifying and assessing corporate employment variables that influence community resilience: A novel model.

Quantifying the concept of disaster resilience on a local level is becoming more critical as vulnerable communities face more frequent and intense disasters due to climate change. In the United States (US), corporations are often evaluated using social justice or environmental sustainability matrices for financial investment consideration. However, there are few tools available to measure a corporation's contribution to disaster resilience on a local level. This study includes a focused literature review of employment variables that contribute to community resilience and a national survey that asked US emergency managers to rank the variables they believe have the greatest influence on individual resilience. A novel corporate community resilience model that ranks corporate contributions to disaster resilience in the communities where they operate was developed and then tested against data from five employment sectors from the same area. This model can be used by stakeholders to better understand how corporations can most efficiently contribute to county- and subcounty-level disaster resilience. The metrics used in this study are universal and translative, and thus, the development of this resilience model has global disaster resilience implications.

Exploring Cascading Disaster Risk During Complex Emergencies: Chemical Industry Disaster Risk Assessment in the Aftermath of the Kakhovka Dam Bombing in Ukraine.

OBJECTIVE: This risk assessment aims to investigate the analysis of cascading disaster risks from the perspective of the chemical industry and public health subsequent to the Kakhovka dam bombing in Ukraine. METHOD: The study utilized a modified observational cross-sectional risk assessment method to assess disaster risk. The method involved identifying the location of chemical factories, determining flooded or at-risk factories, analyzing the type and frequency of chemical hazards, assessing population exposure, and plotting a disaster risk metric. Data on chemical industries and flood extent were collected from open-source secondary data. RESULTS: The destruction of the Kakhovka dam in June 2023 led to severe flooding, placing 42 000 individuals at risk. The analysis identified four chemical factories, with 1 affected by flooding and 3 at risk. The overall risk assessment indicated a high likelihood and severe consequences, including loss of life, environmental contamination, and property damage. CONCLUSION: The combination of complex emergencies and high-risk chemical facilities in Kherson Oblast poses a significant risk of a chemical industry disaster. The interplay between compound and cascading risks during complex emergencies amid the current war further exacerbates the situation, leading to the devastation and destruction of the environment to the detriment of life, and aligns with the characterization of ecocide.

Understanding Challenges Women Face in Flood-Affected Areas to Access Sexual and Reproductive Health Services: A Rapid Assessment from a Disaster-Torn Pakistan.

Introduction: According to the Global Climate Risk Index, Pakistan is ranked as the fifth-most vulnerable country to climate change. Most recently, during June-August 2022, heavy torrential rains coupled with riverine, urban, and flash flooding led to an unprecedented disaster in Pakistan. Around thirty-three million people were affected by the floods. More than 2 million houses were damaged, leaving approximately 8 million displaced and approximately 600,000 people in relief camps. Among those, 8.2 million women and 16 million children are the worst affected, with many requiring urgent medical and reproductive healthcare. To plan an efficient healthcare program and a climate-resilient health system, it is crucial to understand the issues that the affected people face during floods. Methodology. This rapid assessment included the population in the most severely affected districts across the four provinces of Pakistan. A mixed methods approach using qualitative and quantitative techniques was utilized. A total of 52 qualitative, in-depth interviews were conducted with community-level healthcare providers, national and provincial government departments, and development partners involved in relief activities. Using a structured questionnaire, the quantitative cross-sectional survey was conducted with a final sample of 422 women, married and unmarried (15-49 years old), residing in the relief camps in the flood-affected areas. The outcome variable of the survey was the access to sexual and reproductive health services faced by the women in the flood-affected districts. Data collection took place four months postfloods during Nov-Dec 2022, while the data analysis was conducted between Dec 2022 and Jan 2023. The quantitative data was analyzed using SPSS (Statistical Package for the Social Sciences) version 20, and qualitative data was analyzed using NVivo 12. Ethical consent was sought from all the participants. Ethical approval was also sought from the ethics committee of the Health Services Academy, Government of Pakistan. Results: The findings indicated that, overall, all the provinces were unprepared for a calamity of such a large magnitude. Access to services and health data reporting from the flood-affected areas was challenging mainly due to a shortage of trained health workforce because of the displacement of a large volume of the health workforce. Overall, equipment, medicines, supplies, and food were scarce. Women residing in the camps were markedly affected, and 84% (375) were not satisfied with the flood relief services provided to them. The floods impacted their monthly income as 30% (132) of respondents started depending on charity postfloods. Almost 77% (344) reported limited access to sexual and reproductive health services and had yet to receive sanitary, hygiene, and delivery kits, while 69% (107 out of 154) of girls stopped schooling postfloods. Almost 77% (112) of the married women reported having a child less than one year of age. Yet, only 30% (44 out of 144 currently married women) were using any form of family planning method-damage to the health facilities affected access to overall maternal care services. Conclusion: The findings concluded that there was no planning for sexual and reproductive health services in the flood-affected areas. Several barriers were identified. The government and development partners needed to prepare to cater to women's needs during the floods. The findings highlight the need for collaborative efforts between the government, civil society, and development partners to address the challenges faced in disaster management and strengthen disaster management capacity.

Challenges and Coping Strategies of Older Adults in the Aftermath of Kahramanmaras Earthquake in Türkiye: A Qualitative Research.

The aim of this study was to explore the post-earthquake experiences, difficulties, and coping strategies of older adults who experienced the Kahramanmaras earthquakes that occurred in Türkiye in 2023. This research was designed as a qualitative descriptive study. The study was conducted with 21 (13 female and 8 male) older adults and the mean age of the participants was 70.2 (in the range of 65-85). In line with the data obtained from the participants, "Fulfilling Basic Needs of Older Adults, Emotional Turmoil in Later Life, Healthcare Disparities in Aging, Adaptive Response of Older Adults" themes and sub-themes related to the theme were formed. Both physical and socio-emotional challenges, as well as coping strategies and support systems that older adults face in the aftermath of earthquakes, demonstrate unique characteristics for this demographic group. Therefore, it is recommended to plan programs by considering these differences while planning intervention programs before, during, and after the disaster.

Social vulnerability assessment under different extreme precipitation scenarios: A case study in Henan Province, China.

Extreme precipitation usually cause grievous losses&casualties, which varies greatly under different scenarios. This paper took Henan province as an example, it innovatively constructed three different extreme precipitation scenarios and built indicators system of social vulnerability from exposure, sensitivity and resilience based on MOVE framework. Social Vulnerability Indexs(SoVI) were then calculated by mathematical models under three different reoccurrence intervals. The results show that SoVI was low in the west and high in the north. High SoVI areas expanded to the middle and south as recurrence intervals increased. SoVI in each area of Henan province increased along with the recurrence intervals at different growth rates. The larger the recurrence interval was, the faster the SoVI increased. The results indicate SoVI is greatly affected by disaster levels, which need to be incorporated into social vulnerability. This study provides not only a new thought for social vulnerability assessment, but also a reference for the policymakers to formulate related risk management policies.

How can the Sendai framework be implemented for disaster risk reduction and sustainable development? A qualitative study in Iran.

BACKGROUND: The Sendai Framework is the United Nations' most significant approach to reducing the risk of disasters from 2015 to 2030. This framework designed for all communities. However, communities should create operational and remedial strategies based on their unique circumstances. Considering the gaps in the implementation of Sendai framework strategies in Iran, as a developing country, the present study was designed. METHOD: This study was conducted by using a qualitative direct content analysis method to find out the expert's opinions on the implementation of the Sendai framework in Iran from 2021 to 2023. 35 experts in the focus group discussion and 9 experts in the interview were the participants of the study. RESULTS: Study findings were merged and reported as one main theme entitled Executive actions for implementing the Sendai Framework, four categories, and 37 codes. Eleven codes for the strategy of understanding disaster risk, 11 codes for the strategy of strengthening disaster risk governance to manage disaster risk, eight codes for the strategy of Investing in disaster risk reduction for resilience, and finally, seven codes for the strategy of enhancing disaster preparedness for effective response and to "Build Back Better" in recovery, rehabilitation, and reconstruction were identified as implementation solutions. CONCLUSION: The Sendai Framework has not provided any detailed implementation solutions because the countries' economic, social, level of development, etc., are different. The study's findings can be used as a guide for other developing countries.

Assessment of Disaster Preparedness at the Household Level in a Pediatric Cardiology Clinic Population.

Natural and human-provoked disasters pose serious health risks to children, particularly children and youth with special healthcare needs, including many cardiology patients. The American Academy of Pediatrics (AAP) provides preparedness recommendations for families, but little is known about recommendation adherence. Caregivers of children seen in a pediatric cardiology clinic network were recruited to complete an electronic survey. Participants self-reported child medical history and their household's implementation of AAP recommended disaster preparedness items. Families received a link to AAP resources and a child ID card. Data were analyzed using descriptive statistics with Fisher's exact and Wilcoxon rank sum tests. 320 caregivers participated in the study, of whom 124 (38.8%) indicated that their child has a diagnosed cardiac condition, and 150 (46.9%) indicated that their child had special healthcare needs. The average preparedness item completion rate was 70.7% for household preparedness, 40.1% for reunification preparedness, and 26.3% for community preparedness. Households of children with medical needs had similar rates of preparedness compared to overall rates. Of all respondents, 27.8% previously received disaster preparedness resources, 67.7% would like resources on discussing disaster preparedness, and 93.0% intend to talk with their household about disaster preparedness after completing the survey. These results demonstrate a gap between AAP recommendations and household-level disaster preparedness, including patients with cardiac conditions and those with special healthcare needs. Families expressed that they were interested in getting resources for disaster preparedness. Pediatric cardiologists may consider asking about disaster preparedness and providing disaster preparedness resources tailored to the needs of their patients.

Mapping study for health emergency and disaster risk management competencies and curricula: literature review and cross-sectional survey.

BACKGROUND: With the increasing threat of hazardous events at local, national, and global levels, an effective workforce for health emergency and disaster risk management (Health EDRM) in local, national, and international communities is urgently needed. However, there are no universally accepted competencies and curricula for Health EDRM. This study aimed to identify Health EDRM competencies and curricula worldwide using literature reviews and a cross-sectional survey. METHODS: Literature reviews in English and Japanese languages were performed. We searched MEDLINE, EMBASE, CINAHL (English), and the ICHUSHI (Japanese) databases for journal articles published between 1990 and 2020. Subsequently, a cross-sectional survey was sent to WHO Health EDRM Research Network members and other recommended experts in October 2021 to identify competency models and curricula not specified in the literature search. RESULTS: Nineteen studies from the searches were found to be relevant to Health EDRM competencies and curricula. Most of the competency models and curricula were from the US. The domains included knowledge and skills, emergency response systems (including incident management principles), communications, critical thinking, ethical and legal aspects, and managerial and leadership skills. The cross-sectional survey received 65 responses with an estimated response rate of 25%. Twenty-one competency models and 20 curricula for managers and frontline personnel were analyzed; managers' decision-making and leadership skills were considered essential. CONCLUSION: An increased focus on decision-making and leadership skills should be included in Health EDRM competencies and curricula to strengthen the health workforce.

Impact of extreme weather events on healthcare utilization and mortality in the United States.

Climate change is intensifying extreme weather events. Yet a systematic analysis of post-disaster healthcare utilization and outcomes for severe weather and climate disasters, as tracked by the US government, is lacking. Following exposure to 42 US billion-dollar weather disasters (severe storm, flood, flood/severe storm, tropical cyclone and winter storm) between 2011 and 2016, we used a difference-in-differences (DID) approach to quantify changes in the rates of emergency department (ED) visits, nonelective hospitalizations and mortality between fee-for-service Medicare beneficiaries in affected compared to matched control counties in post-disaster weeks 1, 1-2 and 3-6. Overall, disasters were associated with higher rates of ED utilization in affected counties in post-disaster week 1 (DID of 1.22% (95% CI, 0.20% to 2.25%; P < 0.020)) through week 2. Nonelective hospitalizations were unchanged. Mortality was higher in affected counties in week 1 (DID of 1.40% (95% CI, 0.08% to 2.74%; P = 0.037)) and persisted for 6 weeks. Counties with the greatest loss and damage experienced greater increases in ED and mortality rates compared to all affected counties. Thus, billion-dollar weather disasters are associated with excess ED visits and mortality in Medicare beneficiaries. Tracking these outcomes is important for adaptation that protects patients and communities, health system resilience and policy.

Weighing structural damage and social susceptibility: A decision-making tool to perform longitudinal studies of geographically large hazard events.

Geographically large climatic hazard events are occurring more frequently, and with this increase, more research emphasis is being placed on their impact. However, a metrology for selecting which communities to survey following an event is not frequently discussed and as a result does not effectively incorporate all relevant disciplines in disaster research. This article provides a method for selecting communities for inclusion in field studies not only based on anticipated damage but also community-level social factors that show predictive power in long-term analyses. Due to the perishable nature of disaster data, this social metric and the field study decision tool were developed with the intent of being as rapidly implementable as possible while still providing insight regarding long-term post-event community trends. The community-level social metric was developed using a hindcasting technique for hazard events in the years 2011, 2012, and 2013. Thresholds for stability and decline were established for both the predicted and the actual community outcomes. Of the communities that the model predicted would recover, 73% recovered using the definition provided. Meanwhile 74% of the communities predicted to decline did indeed decline, again using the definition provided. To enhance operability of this social metric, a decision-making tool for community selection was also formalized and implemented in a field study conducted following the December 2021 quad-state tornado outbreak in the United States. The lessons learned from this first implementation were used to inform a refined version of the decision-making tool that is presented herein.