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Importance: Hurricanes and flooding can interrupt health care utilization. Understanding the magnitude and duration of interruptions, as well as how they vary according to hazard exposure, race, and income, are important for identifying populations in need of greater retention in care., Objective: To determine how the differential exposure to Hurricane Harvey in August 2017 is associated with changes in utilization of Veterans Health Administration health care., Design, Setting, and Participants: This is a retrospective cohort analysis of primary care practitioner (PCP) visits, emergency department visits, and inpatient admissions in the Veterans Health Administration among Texas veterans residing in counties impacted by Hurricane Harvey from 2016 to 2018. Data analysis was performed from September 2020 to May 2021., Exposures: Residential flooding after Hurricane Harvey., Main Outcomes and Measures: Interrupted time series analysis measured changes in health care utilization over time, stratified by residential flood exposure, race, and income., Results: Of the 99 858 patients in the cohort, 89 931 (90.06%) were male, and their median (range) age was 58 (21 to 102) years. Compared with veterans in nonflooded areas, veterans living in flooded areas were more likely to be Black (24 715 veterans [33.80%] vs 4237 veterans [15.85%]) and low-income (14 895 veterans [20.37%] vs 4853 veterans [18.15%]). Rates of PCP visits decreased by 49.78% (95% CI, -64.52% to -35.15%) for veterans in flooded areas and by 45.89% (95% CI, -61.93% to -29.91%) for veterans in nonflooded areas and did not rebound until more than 8 weeks after the hurricane. Rates of PCP visits in flooded areas remained lower than expected for 11 weeks among White veterans (-6.99%; 95% CI, -14.36% to 0.81%) and for 13 weeks among racial minority veterans (-7.22%; 95% CI, -14.11% to 0.30%). Low-income veterans, regardless of flood status, experienced greater suppression of PCP visits in the 8 weeks following the hurricane (-13.72%; 95% CI, -20.51% to -6.68%) compared with their wealthier counterparts (-9.63%; 95% CI, -16.74% to -2.26%)., Conclusions and Relevance: These findings suggest that flood disasters such as Hurricane Harvey may be associated with declines in health care utilization that differ according to flood status, race, and income strata. Patients most exposed to the disaster also had the greatest delay or nonreceipt of care.

The magnitude, timing, and etiology of morbidity associated with tropical cyclones remains incompletely quantified. We examined the relative change in cause-specific emergency department (ED) visits among residents of New York City during and after Hurricane Sandy, a tropical cyclone that affected the northeastern United States in October 2012. We used quasi-Poisson constrained distributed lag models to compare the number of ED visits on and after Hurricane Sandy with all other days, 2005-2014, adjusting for temporal trends. Among residents aged ≥65 years, Hurricane Sandy was associated with a higher rate of ED visits due to injuries and poisoning (relative risk (RR) = 1.19, 95% confidence interval (CI): 1.10, 1.28), respiratory disease (RR = 1.35, 95% CI: 1.21, 1.49), cardiovascular disease (RR = 1.10, 95% CI: 1.02, 1.19), renal disease (RR = 1.44, 95% CI: 1.22, 1.72), and skin and soft tissue infections (RR = 1.20, 95% CI: 1.03, 1.39) in the first week following the storm. Among adults aged 18-64 years, Hurricane Sandy was associated with a higher rate of ED visits for renal disease (RR = 2.15, 95% CI: 1.79, 2.59). Among those aged 0-17 years, the storm was associated with lower rates of ED visits for up to 3 weeks. These results suggest that tropical cyclones might result in increased health-care utilization due to a wide range of causes, particularly among older adults., (© The Author(s) 2021. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Introduction: Hurricanes have increased in severity over the past 35 years, and climate change has led to an increased frequency of catastrophic flooding. The impact of floods on emergency department (ED) operations and patient health has not been well studied. We sought to detail challenges and lessons learned from the severe weather event caused by Hurricane Harvey in Houston, Texas, in August 2017., Methods: This report combines narrative data from interviews with retrospective data on patient volumes, mode of arrival, and ED lengths of stay (LOS). We compared the five-week peri-storm period for the 2017 hurricane to similar periods in 2015 and 2016., Results: For five days, flooding limited access to the hospital, with a consequent negative impact on provider staffing availability, disposition and transfer processes, and resource consumption. Interruption of patient transfer capabilities threatened patient safety, but flexibility of operations prevented poor outcomes. The total ED patient census for the study period decreased in 2017 (7062 patients) compared to 2015 (7665 patients) and 2016 (7770) patients). Over the five-week study period, the arrival-by-ambulance rate was 12.45% in 2017 compared to 10.1% in 2016 (p < 0.0001) and 13.7% in 2015 (p < 0.0001). The median ED length of stay (LOS) in minutes for admitted patients was 976 minutes in 2015 (p < 0.0001) compared to 723 minutes in 2016 and 591 in 2017 (p < 0.0001). For discharged patients, median ED LOS was 336 minutes in 2016 compared to 356 in 2015 (p < 0.0001) and 261 in 2017 (p < 0.0001). Median boarding time for admitted ED patients was 284 minutes in 2016 compared to 470 in 2015 (p < 0.0001) and 234.5 in 2017 (p < 0.001). Water damage resulted in a loss of 133 of 179 inpatient beds (74%). Rapid and dynamic ED process changes were made to share ED beds with admitted patients and to maximize transfers post-flooding to decrease ED boarding times., Conclusion: A number of pre-storm preparations could have allowed for smoother and safer ride-out functioning for both hospital personnel and patients. These measures include surplus provisioning of staff and supplies to account for limited facility access. During a disaster, innovative flexibility of both ED and hospital operations may be critical when disposition and transfer capibilities or bedding capacity are compromised.

Objective: The aim of this study was to describe individuals seeking care for injury at a major emergency department (ED) in southern Puerto Rico in the months after Hurricane Maria on September 20, 2017., Methods: After informed consent, we used a modified version of the Natural Disaster Morbidity Surveillance Form to determine why patients were visiting the ED during October 16, 2017-March 28, 2018. We analyzed visits where injury was reported as the primary reason for visit and whether it was hurricane-related., Results: Among 5 116 patients, 573 (11%) reported injury as the primary reason for a visit. Of these, 10% were hurricane-related visits. The most common types of injuries were abrasions, lacerations, and cuts (43% of all injury visits and 50% of hurricane-related visits). The most common mechanisms of injury were falls, slips, trips (268, 47%), and being hit by/or against an object (88, 15%). Most injury visits occurred during the first 3 months after the hurricane., Conclusions: Surveillance after Hurricane Maria identified injury as the reason for a visit for about 1 in 10 patients visiting the ED, providing evidence on the patterns of injuries in the months following a hurricane. Public health and emergency providers can use this information to anticipate health care needs after a disaster.

Objective: Syndromic surveillance has been useful for routine surveillance on a variety of health outcomes and for informing situational awareness during public health emergencies. Following the landfall of Hurricane Maria in 2017, the New York City (NYC) Department of Health and Mental Hygiene (DOHMH) implemented an enhanced syndromic surveillance system to characterize related emergency department (ED) visits., Methods: ED visits with any mention of specific key words ("Puerto," "Rico," "hurricane," "Maria") in the ED chief complaint or Puerto Rico patient home Zip Code were identified from the DOHMH syndromic surveillance system in the 8-week window leading up to and following landfall. Visit volume comparisons pre- and post-Hurricane Maria were performed using Fisher's exact test., Results: Analyses identified an overall increase in NYC ED utilization relating to Puerto Rico following Hurricane Maria landfall. In particular, there was a small but significant increase in visits involving a medication refill or essential medical equipment. Visits for other outcomes, such as mental illness, also increased, but the differences were not statistically significant., Conclusions: Gaining this situational awareness of medical service use was informative following Hurricane Maria, and, following any natural disaster, the same surveillance methods could be easily established to aid an effective emergency response.

Objective: Investigate short- and long-term effects of Superstorm Sandy on multiple morbidities among the elderly., Methods: We examined emergency department visits; outpatient visits; and hospital admissions for cardiovascular disease (CVD), respiratory disease, and injury among residents residing in 8 affected counties immediately, 4 months, and 12 months following Superstorm Sandy. Control groups were defined as visits/admissions during the identical time window in the 5 years before (2007-2011) and 1 year after (2013-2014) the storm in affected and nonaffected counties in New York. We performed Poisson regression to test whether there was an association of increased visits/admissions for periods following Superstorm Sandy while controlling for covariates., Results: We found that the risk for CVD, respiratory disease, and injury visits/admissions was more than twice as high immediately, 4 months, and 12 months after the storm than it was in the control periods. Women were at greater risk at all time periods for CVD (risk ratio [RR], 2.04) and respiratory disease (RRs: 1.89 to 1.92). Whites had higher risk for CVD, respiratory disease, and injury than other racial groups during each period., Conclusion: We observed increases in CVD, respiratory disease, and injury up to a year following Superstorm Sandy. Findings demonstrate the need to incorporate short- and long-term health effects into public health recovery. (Disaster Med Public Health Preparedness. 2019;13:28-32).

Objective: In this investigation, we reported the increase in emergency department and inpatient admission cases during the month of November 2012 post Hurricane Sandy as compared with baseline (November 2010, 2011, and 2013) for elderly patients aged 65 and up., Methods: Medical claims data for patients aged 65 and over treated at emergency department and inpatient health care facilities in New Jersey were analyzed to examine the surge in frequencies of diagnoses treated immediately following Hurricane Sandy. The differences were quantified using gap analysis for 2 years before and 1 year after the event., Results: There was an average increase of 1700 cases for the month of November 2012 relative to baseline for the top 15 most frequently diagnosed emergency department medical conditions. On a daily basis, a volume increase by an average 57 cases could be expected, including significant numbers of limb fractures and other trauma cases for these most frequently encountered medical conditions., Conclusions: Understanding the surge level in medical services needed in emergency departments and inpatient facilities during a natural disaster aftermath is critical for effective emergency preparation and response for the elderly population. (Disaster Med Public Health Preparedness. 2018;12:730-738).

Objectives: Extreme weather events require extensive tree removal and disposal, tasks associated with severe injury risks among workers and residents. To help understand the risks of such activities, we evaluated the impact of a large and destructive storm (Hurricane Sandy in 2012) on the incidence of tree-related injuries., Methods: We searched chief-complaint text fields for patients aged 18-65 from 2011-2014 emergency department visit records submitted by New Jersey hospitals through the state-based syndromic surveillance system. Tree-related keywords (eg, saw, branch, wood chip, woodchip, tree) identified possible injuries that we then reviewed to exclude unrelated cases and classify mechanisms of tree-related injury. We used Poisson regression analysis to evaluate changes in the rates of probable tree-related injuries, adjusting for total emergency department visits and seasonal variation., Results: We identified 698 probable tree-related injuries from 2011-2014 among patients aged 18-65, including 104 (14.9%) falls, 241 (34.5%) machine-related injuries, 311 (44.6%) struck-by injuries, and 42 (6.0%) other tree-related injuries. Tree-related injuries increased significantly in the quarter immediately after Hurricane Sandy (November 2012-January 2013) compared with the same quarter the year before (rate ratio [RR] = 1.67; 95% confidence interval [CI], 1.13-2.47) and the year after (RR = 2.47; 95% CI, 1.62-3.78) Hurricane Sandy, especially for struck-by injuries compared with the year before (RR = 2.74; 95% CI, 1.47-5.12) and the year after (RR = 4.17; 95% CI, 2.09-8.32) Hurricane Sandy. More than one-third of the injuries (33.4%) involved chainsaws., Conclusions: A major hurricane was associated with an increase in tree-related injuries in emergency departments, especially for mechanisms consistent with handling downed and damaged trees. Further research should confirm these findings and evaluate opportunities for preventing tree-related injuries.

Objective: Older adults are a potentially medically vulnerable population with increased mortality rates during and after disasters. To evaluate the impact of a natural disaster on this population, we performed a temporal and geospatial analysis of emergency department (ED) use by adults aged 65 years and older in New York City (NYC) following Hurricane Sandy's landfall., Methods: We used an all-payer claims database to analyze demographics, insurance status, geographic distribution, and health conditions for post-disaster ED visits among older adults. We compared ED patterns of use in the weeks before and after Hurricane Sandy throughout NYC and the most afflicted evacuation zones., Results: We found significant increases in ED utilization by older adults (and disproportionately higher in those aged ≥85 years) in the 3 weeks after Hurricane Sandy, especially in NYC evacuation zone one. Primary diagnoses with notable increases included dialysis, electrolyte disorders, and prescription refills. Secondary diagnoses highlighted homelessness and care access issues., Conclusions: Older adults display heightened risk for worse health outcomes with increased ED visits after a disaster. Our findings suggest the need for dedicated resources and planning for older adults following a natural disaster by ensuring access to medical facilities, prescriptions, dialysis, and safe housing and by optimizing health care delivery needs to reduce the burden of chronic disease. (Disaster Med Public Health Preparedness. 2018;12:184-193).

Introduction: National health security requires that healthcare facilities be prepared to provide rapid, effective emergency and trauma care to all patients affected by a catastrophic event. We sought to quantify changes in healthcare utilization patterns for an at-risk Medicare population before, during, and after Superstorm Sandy's 2012 landfall in New Jersey (NJ)., Methods: This study is a retrospective cohort study of Medicare beneficiaries impacted by Superstorm Sandy. We compared hospital emergency department (ED) and healthcare facility inpatient utilization in the weeks before and after Superstorm Sandy landfall using a 20% random sample of Medicare fee-for-service beneficiaries continuously enrolled in 2011 and 2012 (N=224,116). Outcome measures were pre-storm discharges (or transfers), average length of stay, service intensity weight, and post-storm ED visits resulting in either discharge or hospital admission., Results: In the pre-storm week, hospital transfers from skilled nursing facilities (SNF) increased by 39% and inpatient discharges had a 0.3 day decreased mean length of stay compared to the prior year. In the post-storm week, ED visits increased by 14% statewide; of these additional "surge" patients, 20% were admitted to the hospital. The increase in ED demand was more than double the statewide average in the most highly impacted coastal regions (35% versus 14%)., Conclusion: Superstorm Sandy impacted both pre- and post-storm patient movement in New Jersey; post-landfall ED surge was associated with overall storm impact, which was greatest in coastal counties. A significant increase in the number and severity of pre-storm transfer patients, in particular from SNF, as well as in post-storm ED visits and inpatient admissions, draws attention to the importance of collaborative regional approaches to healthcare in large-scale events., Competing Interests: Conflicts of Interest: By the WestJEM article submission agreement, all authors are required to disclose all affiliations, funding sources and financial or management relationships that could be perceived as potential sources of bias. The findings and conclusions in this report are those of the authors and do not necessarily represent the view of the U.S. Department of Health and Human Services or its components.

Studies have documented the impact that hurricanes have on mental health and injury rates before, during, and after the event. Since timely tracking of these disease patterns is crucial to disaster planning, response, and recovery, syndromic surveillance keyword filters were developed by the New York State Department of Health to study the short- and long-term impacts of Hurricane Sandy. Emergency department syndromic surveillance is recognized as a valuable tool for informing public health activities during and immediately following a disaster. Data typically consist of daily visit reports from hospital emergency departments (EDs) of basic patient data and free-text chief complaints. To develop keyword lists, comparisons were made with existing CDC categories and then integrated with lists from the New York City and New Jersey health departments in a collaborative effort. Two comprehensive lists were developed, each containing multiple subcategories and over 100 keywords for both mental health and injury. The data classifiers using these keywords were used to assess impacts of Sandy on mental health and injuries in New York State. The lists will be validated by comparing the ED chief complaint keyword with the final ICD diagnosis code. (Disaster Med Public Health Preparedness. 2017;11:173-178).

Objective: Hurricane Sandy made landfall on October 29, 2012, causing a coastal storm surge and extensive flooding, which led to the closure of several health care facilities in New York City (NYC) and prolonged interruptions in service delivery. The impact on mental health-related emergency department (ED) and inpatient hospital service utilization was studied., Methods: Data came from the New York Statewide Planning and Research Cooperative System. We obtained mental health-related data among NYC residents from 2010 to 2013. Patients were grouped into 5 geographic areas, including service areas of closed hospitals, the Hurricane Sandy evaluation zone, and all of NYC. The Farrington method was used to detect increases in ED visits and hospitalizations for the post-Sandy period., Results: Open hospitals experienced a substantial increase in psychiatric ED visits from patients living in the service areas of closed hospitals. This surge in psychiatric ED visits persisted for 4 to 6 months after Hurricane Sandy. However, the increase in psychiatric hospitalizations was observed for 1 to 3 months., Conclusions: Several NYC hospitals received a substantially larger number of ED patients from service areas of closed hospitals after Hurricane Sandy, unlike other hospitals that experienced a decrease. Because of potential surges in the number of psychiatric ED visits, resource allocation to hospitals should be considered. (Disaster Med Public Health Preparedness. 2016;10:512-517).

Objective: We aimed to characterize the geographic distribution of post-Hurricane Sandy emergency department use in administrative flood evacuation zones of New York City., Methods: Using emergency claims data, we identified significant deviations in emergency department use after Hurricane Sandy. Using time-series analysis, we analyzed the frequency of visits for specific conditions and comorbidities to identify medically vulnerable populations who developed acute postdisaster medical needs., Results: We found statistically significant decreases in overall post-Sandy emergency department use in New York City but increased utilization in the most vulnerable evacuation zone. In addition to dialysis- and ventilator-dependent patients, we identified that patients who were elderly or homeless or who had diabetes, dementia, cardiac conditions, limitations in mobility, or drug dependence were more likely to visit emergency departments after Hurricane Sandy. Furthermore, patients were more likely to develop drug-resistant infections, require isolation, and present for hypothermia, environmental exposures, or administrative reasons., Conclusions: Our study identified high-risk populations who developed acute medical and social needs in specific geographic areas after Hurricane Sandy. Our findings can inform coherent and targeted responses to disasters. Early identification of medically vulnerable populations can help to map "hot spots" requiring additional medical and social attention and prioritize resources for areas most impacted by disasters. (Disaster Med Public Health Preparedness. 2016;10:351-361).

Objective: This study aimed to examine the effect of Hurricane Sandy on Long Island mental health emergency department (ED) visits and to determine whether these visits varied according to patient demographics or geographic area and intensity of the impact., Methods: Individual-level de-identified data were extracted from the Statewide Planning and Research Cooperative System from New York State ED visits from October 1 to December 2012 for residents of Nassau and Suffolk counties in Long Island. The dates of the ED visits were grouped into 4 periods: (1) pre-Sandy, October 1-28; (2) during Sandy, October 29; (3) post-Sandy I, October 30 to November 1; and (4) post-Sandy II, November 2-30., Results: A total of 126,337 ED visits were recorded among 23 EDs. A significant drop in volume was observed on October 29; 399 more ED visits for physical health diagnoses were identified in the post-Sandy I period than in the pre-Sandy period. "Diseases of the respiratory system" was the only diagnosis group that showed a positive trend in the post-Sandy I period compared with the pre-Sandy period (increase of 4%). No significant changes in mental health visits were observed after Sandy landfall., Conclusions: This analysis suggests that the critical temporal window during which ED resources should be increased is in the immediate aftermath of a hurricane. (Disaster Med Public Health Preparedness. 2016;10:344-350).

Background: On October 29th, 2012, Hurricane Sandy caused a storm surge interrupting electricity with disruption to Manhattan's (New York, USA) health care infrastructure. Beth Israel Medical Center (BIMC) was the only fully functioning major hospital in lower Manhattan during and after Hurricane Sandy. The impact on emergency department (ED) and hospital use by geriatric patients in lower Manhattan was studied., Methods: The trends of ED visits and hospitalizations in the immediate post-Sandy phase (IPS) during the actual blackout (October 29 through November 4, 2012), and the extended post-Sandy phase (EPS), when neighboring hospitals were still incapacitated (November 5, 2012 through February 10, 2013), were analyzed with baseline. The analysis was broken down by age groups (18-64, 65-79, and 80+ years old) and included the reasons for ED visits and admissions., Results: During the IPS, there was a significant increase in geriatric visits (from 11% to 16.5% in the 65-79 age group, and from 6.5% to 13% in the 80+ age group) as well as in hospitalizations (from 22.7% to 25.2% in the 65-79 age group, and from 17.6% to 33.8% in the 80+ age group). However, these proportions returned to baseline during the EPS. The proportions of the categories "dialysis," "respiratory device," "social," and "syncope" in geriatric patients in ED visits were significantly higher than younger patients. The increases of the categories "medication," "dialysis," "respiratory device," and "social" represented two-thirds of absolute increase in both ED visits and admissions for the 65-79 age group, and half of the absolute increase in ED visits for the 80+ age group. The categories "social" and "respiratory device" peaked one day after the disaster, "dialysis" peaked two days after, and "medication" peaked three days after in ED visit analysis., Conclusions: There was a disproportionate increase in ED visits and hospitalizations in the geriatric population compared with the younger population during the IPS. The primary factor of the disproportionate impact on the geriatric population appears to be from indirect effects of the hurricane, mainly due to the subsequent power outages, such as "dialysis," "respiratory device," and "social." Further investigation by chart review may provide more insights to better aid with future disaster preparedness.

Introduction: Emergency departments see an increase in cases during cyclones. The aim of this study is to describe patient presentations to the Emergency Department (ED) of a tertiary level hospital (Townsville) following a tropical cyclone (Yasi). Specific areas of focus include changes in: patient demographics (age and gender), triage categories, and classification of diseases., Methods: Data were extracted from the Townsville Hospitals ED information system (EDIS) for three periods in 2009, 2010 and 2011 to coincide with formation of Cyclone Yasi (31 January 2011) to six days after Yasi crossed the coast line (8 February 2012). The analysis explored the changes in ICD10-AM 4-character classification and presented at the Chapter level., Results: There was a marked increase in the number of patients attending the ED during Yasi, particularly those aged over 65 years with a maximum daily attendance of 372 patients on 4 Feb 2011. The most marked increases were in: Triage categories--4 and 5; and ICD categories--diseases of the skin and subcutaneous tissue (L00-L99), and factors influencing health care status (Z00-Z99). The most common diagnostic presentation across all years was injury (S00-T98)., Discussion: There was an increase in presentations to the ED of TTH, which peaked in the first 24-48 hours following the cyclone and returned to normal over a five-day period. The changes in presentations were mostly an amplification of normal attendance patterns with some altered areas of activity. Injury patterns are similar to overseas experience.

Objective: To estimate the enrollment and emergency department (ED) utilization in TexKat, the Texas Medicaid emergency waiver implemented following Hurricane Katrina., Data Sources: Individual-level enrollment and utilization data from the 2005 Medicaid Analytic Extract., Study Design: Descriptive analysis is performed on variables that describe enrollment levels, the demographic characteristics of enrollees, and the most common diagnoses in ED visits. A Poisson regression model is also employed to quantify the factors related to an enrollee's probability of having an ED visit and the average number of ED visits., Principal Findings: There were 44,246 individuals enrolled in TexKat in 2005. Roughly 13% of these enrollees had at least one ED visit during the sample period, with one quarter of these individuals having more than one visit. Across all enrollees the most common diagnosis was "other upper respiratory infection," but there were significant differences in diagnosis patterns across racial/ethnic groups. The regression analysis suggests little difference in ED utilization across genders, but significant contrasts across racial/ethnic and age groups., Conclusions: As very little is known about Medicaid emergency waivers, our analysis may provide important information to policymakers who have to react quickly following a disaster. Our findings may help providers estimate potential increases in ED utilization and prepare for relatively common diagnoses. Furthermore, the analysis across racial/ethnic groups may help government officials identify important areas for outreach among vulnerable populations.