Analyzing Hurricane Sandy emergency reports to assess the New York State (NYS) public health system response will help inform and improve future disaster preparedness and response.

Qualitative analysis of NYS Department of Health (NYSDOH) and Nassau and Suffolk County local health department (LHD) emergency reports was conducted. Three after-action reports and 48 situation reports were reviewed, grouped by key words and sorted into 16 Public Health Preparedness Capabilities. Within each capability, key words were labeled as strengths, challenges, or recommendations.

The NYSDOH capability most cited as a strength was successful emergency operations coordination, eg, interagency conference calls (27.4% of 1681 strengths). The most cited challenge was environmental health protection, eg, mold and oil spills (28% of 706 challenges). The LHD capability most cited both as a strength (46.7% of 30 strengths) and as a challenge (32.5% of 123 challenges) was emergency operations coordination. Strengths were exemplified by sharing local resources and challenges by insufficient memorandums of understanding for coordination.

Post-disaster emergency reports should be systematically reviewed to highlight both successes and areas for improvement. Future studies should prioritize collecting feedback from a wider spectrum of public health and service provider staff for planning of preparedness and response activities. (Disaster Med Public Health Preparedness. 2015;10:308–313)

This study describes findings of the impacts of Hurricane Sandy on environmental factors including power outages, air quality, water quality, and weather factors and how these affected mental health during the hurricane.

An ecological study was conducted at the county level to describe changes in environmental factors—especially power outages—and their relationships to emergency department (ED) visits for mental health problems by use of a Poisson regression model.

We found that many environmental hazards occurred as co-exposures during Hurricane Sandy in addition to flooding. Mental health ED visits corresponded with the peak of maximum daily power blackouts, with a 3-day lag, and were positively associated with power blackouts in Bronx (prevalence ratio [PR]: 8.82, 95% confidence interval [CI]: 1.27–61.42) and Queens (PR: 2.47, 95% CI: 1.05–5.82) counties. A possible dose-response relationship was found between the quantile of maximum blackout percentage and the risk of mental health in the Bronx.

We found that multiple co-environmental hazards occurred during Hurricane Sandy, especially power blackouts that mediated this disaster’s impacts. The effects of power outage on mental health had large geographic variations and were substantial, especially in communities with low sociodemographic status. These findings may provide new insights for future disaster response and preparedness efforts. (Disaster Med Public Health Preparedness. 2016;10:314–319)

During natural disasters, hospital evacuation may be necessary to ensure patient safety and care. We aimed to examine perceptions of stakeholders involved in these decisions throughout the Mid-Atlantic region of the United States during Hurricane Sandy in October 2012.

Semistructured interviews were conducted from March 2014 to February 2015 to characterize stakeholders’ perceptions about authority and responsibility for acute care hospital evacuation/shelter-in-place decision-making in Delaware, Maryland, New Jersey, and New York during Hurricane Sandy. Interviews were recorded, transcribed, and thematically analyzed using a framework approach.

We interviewed 42 individuals from 32 organizations. Hospital executives from all states reported having authority and responsibility for evacuation/shelter-in-place decision-making. In New York and Maryland, government officials stated that they could order hospital evacuation, whereas officials in Delaware and New Jersey said the government lacked enforcement capacity and therefore could not mandate evacuation.

Among government officials, perceived authority for hospital evacuation/shelter-in-place decision-making was viewed as a prerequisite to ordering evacuation. When both hospital executives and government officials perceive themselves to possess decision-making authority, there is the potential for inaction. Future work should examine whether a single entity bearing ultimate responsibility or regional emergency response coalitions would improve decision-making. (Disaster Med Public Health Preparedness. 2016;10:320–324)

Hurricane Sandy was one of the deadliest storms in US history, with at least 162 deaths and numerous injuries. This research aimed to quantify the impact of Hurricane Sandy on the New York metropolitan area.

The project included 601 volunteers aged at least 18 years who were recruited in Nassau, Suffolk, Queens, and Richmond counties and Staten Island between 2013 and 2014 through close partnerships with coalition community leaders. Participants completed a self-administered questionnaire on demographics and behavioral factors and a 35-point check off list on hurricane exposure. Perceived stress was assessed by using the 10-item Perceived Stress Scale (PSS).

Participants had a mean stress score of 15.6 (SD=7.3; vs general population mean of 13.0), with 30.14% of the sample categorized as “high stress” (mean≥20). In the multivariable regression analysis, age was significantly negatively associated with PSS score. A reported history of mental health issues, Hispanic ethnicity, and overall exposure to Hurricane Sandy were statistically significantly associated with PSS score in a positive direction.

Perceived stress was high in areas affected by Hurricane Sandy and was significantly associated with individual hurricane exposure. This study is a first step toward defining what segments of the population are more vulnerable and informing intervention and emergency preparedness efforts. (Disaster Med Public Health Preparedness. 2015;10:325–332)

We aimed to evaluate emergency medical services (EMS) data as disaster metrics and to assess stress in surrounding hospitals and a municipal network after the closure of Bellevue Hospital during Hurricane Sandy in 2012.

We retrospectively reviewed EMS activity and call types within New York City’s 911 computer-assisted dispatch database from January 1, 2011, to December 31, 2013. We evaluated EMS ambulance transports to individual hospitals during Bellevue’s closure and incremental recovery from urgent care capacity, to freestanding emergency department (ED) capability, freestanding ED with 911-receiving designation, and return of inpatient services.

A total of 2,877,087 patient transports were available for analysis; a total of 707,593 involved Manhattan hospitals. The 911 ambulance transports disproportionately increased at the 3 closest hospitals by 63.6%, 60.7%, and 37.2%. When Bellevue closed, transports to specific hospitals increased by 45% or more for the following call types: blunt traumatic injury, drugs and alcohol, cardiac conditions, difficulty breathing, “pedestrian struck,” unconsciousness, altered mental status, and emotionally disturbed persons.

EMS data identified hospitals with disproportionately increased patient loads after Hurricane Sandy. Loss of Bellevue, a public, safety net medical center, produced statistically significant increases in specific types of medical and trauma transports at surrounding hospitals. Focused redeployment of human, economic, and social capital across hospital systems may be required to expedite regional health care systems recovery. (Disaster Med Public Health Preparedness. 2016;10:333–343)

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.

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.

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.

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)

We aimed to characterize the geographic distribution of post-Hurricane Sandy emergency department use in administrative flood evacuation zones of New York City.

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.

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.

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)

Drawing on pre-disaster, peri-disaster, and post-disaster data, this study examined factors associated with the development of post-traumatic stress disorder (PTSD) symptoms in older adults exposed to Hurricane Sandy.

We used a sample of older participants matched by gender, exposure, and geographic region (N=88, mean age=59.83 years) in which one group reported clinically significant levels of PTSD symptoms and the other did not. We conducted t-tests, chi-square tests, and exact logistic regressions to examine differences in pre-disaster characteristics and peri-disaster experiences.

Older adults who experienced PTSD symptoms reported lower levels of income, positive affect, subjective health, and social support and were less likely to be working 4 to 6 years before Hurricane Sandy than were people not experiencing PTSD symptoms. Those developing PTSD symptoms reported more depressive symptoms, negative affect, functional disability, chronic health conditions, and pain before Sandy and greater distress and feelings of danger during Hurricane Sandy. Exact logistic regression revealed independent effects of preexisting chronic health conditions and feelings of distress during Hurricane Sandy in predicting PTSD group status.

Our findings indicated that because vulnerable adults can be identified before disaster strikes, the opportunity to mitigate disaster-related PTSD exists through identification and resource programs that target population subgroups. (Disaster Med Public Health Preparedness. 2016;10:362–370)

We aimed to quantitatively gauge local public health workers’ perceptions toward disaster recovery role expectations among jurisdictions in New Jersey and Maryland affected by Hurricane Sandy.

An online survey was made available in 2014 to all employees in 8 Maryland and New Jersey local health departments whose jurisdictions had been impacted by Hurricane Sandy in October 2012. The survey included perceptions of their actual disaster recovery involvement across 3 phases: days to weeks, weeks to months, and months to years. The survey also queried about their perceptions about future involvement and future available support.

Sixty-four percent of the 1047 potential staff responded to the survey (n=669). Across the 3 phases, 72% to 74% of the pre-Hurricane Sandy hires knew their roles in disaster recovery, 73% to 75% indicated confidence in their assigned roles (self-efficacy), and 58% to 63% indicated that their participation made a difference (response efficacy). Of the respondents who did not think it likely that they would be asked to participate in future disaster recovery efforts (n=70), 39% indicated a willingness to participate.

The marked gaps identified in local public health workers’ awareness of, sense of efficacy toward, and willingness to participate in disaster recovery efforts after Hurricane Sandy represent a significant infrastructural concern of policy and programmatic relevance. (Disaster Med Public Health Preparedness. 2016;10:371–377)

This project aimed to describe demographic patterns and circumstances surrounding injury deaths in New York City (NYC) related to Hurricane Sandy.

Injury deaths related to Hurricane Sandy were classified by using data from multiple sources: NYC’s Office of Vital Statistics death records, Office of Chief Medical Examiner case investigation files, and American Red Cross disaster mortality data. Injury deaths were classified as being related to Hurricane Sandy if they were caused directly by the storm’s environmental forces or if they were indirectly caused by an interruption of services, displacement, or other lifestyle disruption.

We identified 52 injury deaths in NYC related to Hurricane Sandy. Most decedents were male (75%); nearly half were aged 65 years and older (48%). Most (77%) deaths were caused by injuries directly related to Hurricane Sandy. Ninety percent of direct deaths were caused by drowning; most (73%) occurred within 3 days of landfall. Half (50%) of the 12 indirect deaths that occurred up to 30 days after the storm were caused by a fall. Nearly two-thirds (63%) were injured at home. Three-quarters (75%) of fatal injuries occurred in evacuation Zone A.

Risk communication should focus on older adults, males, and those living in evacuation zones; more evacuation assistance is necessary. NYC’s fatal injury profile can inform future coastal storm planning efforts. (Disaster Med Public Health Preparedness. 2016;10:378–385)

Hurricane Sandy in the Rockaways, Queens, forced residents to evacuate and primary care providers to close or curtail operations. A large deficit in primary care access was apparent in the immediate aftermath of the storm. Our objective was to build a computational model to aid responders in planning to situate primary care services in a disaster-affected area.

Using an agent-based modeling platform, HAZEL, we simulated the Rockaways population, its evacuation behavior, and primary care providers’ availability in the aftermath of Hurricane Sandy. Data sources for this model included post-storm and community health surveys from New York City, a survey of the Rockaways primary care providers, and research literature. The model then tested geospatially specific interventions to address storm-related access deficits.

The model revealed that areas of high primary care access deficit were concentrated in the eastern part of the Rockaways. Placing mobile health clinics in the most populous census tracts reduced the access deficit significantly, whereas increasing providers’ capacity by 50% reduced the deficit to a lesser degree.

An agent-based model may be a useful tool to have in place so that policy makers can conduct scenario-based analyses to plan interventions optimally in the event of a disaster. (Disaster Med Public Health Preparedness. 2016;10:386–393)

We aimed to evaluate the occurrence of work-related injuries after Hurricane Sandy potentially related to response and recovery.

Emergency and hospital discharges (patients aged 18-65 years) with a diagnosis of unintentional injury were obtained from the New Jersey Department of Health. Work-related injuries were identified as those with a workers’ compensation payer or other work-related codes. Counties were categorized as high-, medium-, or low-impact areas. Poisson regression analysis was used to compare the rate of work-related injury the year following Sandy landfall with the 3 previous years.

Total work-related injuries declined the week immediately after Sandy (rate ratio [RR]: 0.85; 95% confidence interval [CI]: 0.69-1.05) and no overall increase was found in the year after Hurricane Sandy. However, high-impact counties showed an elevated risk of work-related injuries in the first and third quarters after Hurricane Sandy among men, especially for blacks and Hispanics. The greatest excesses occurred in the third quarter after the storm, May to July, for falls (RR: 1.30; 95% CI: 1.08-1.57), cut/pierce injuries (RR: 1.24; 95% CI: 1.09-1.40), struck-by injuries (RR: 1.17; 95% CI: 1.02-1.34), and overexertion (RR: 1.26; 95% CI: 1.10-1.44).

Hospital data suggested an increase in injuries associated with rebuilding and recovery rather than with initial response. Future efforts aimed at prevention should evaluate the mechanisms and circumstances of injury in more detail. (Disaster Med Public Health Preparedness. 2016;10:394–404)

The emergency department (ED) of NYU Langone Medical Center was destroyed by Hurricane Sandy, contributing to a public health disaster in New York City. We evaluated hospital-based acute care provided through the establishment of an urgent care center with an associated ED-run observation service (EDOS) that operated in the absence of an ED during this disaster.

We conducted a retrospective cohort study of all patients placed in an EDOS following a visit to an urgent care center during the 18 months of ED closure. We reviewed diagnoses, clinical protocols, selection criteria, and performance metrics.

Of 55,723 urgent care center visits, 15,498 patients were hospitalized, and 3167 of all hospitalized patients (20.4%) were placed in the EDOS. A total of 2660 EDOS patients (84%) were discharged from the EDOS. The 8 most frequently utilized clinical protocols accounted for 76% of the EDOS volume.

A diverse group of patients presenting to an urgent care center following the destruction of an ED by natural disaster can be cared for in an EDOS, regardless of association with a physical ED. An urgent care center with an associated EDOS can be implemented to provide patient care in a disaster situation. This may be useful when existing ED or hospital resources are compromised. (Disaster Med Public Health Preparedness. 2016;10:405–410)

Timely evacuation is vital for reducing adverse outcomes during disasters. This study examined factors associated with evacuation and evacuation timing during Hurricane Sandy among World Trade Center Health Registry (Registry) enrollees.

The study sample included 1162 adults who resided in New York City’s evacuation zone A during Hurricane Sandy who completed the Registry’s Hurricane Sandy substudy in 2013. Factors assessed included zone awareness, prior evacuation experience, community cohesion, emergency preparedness, and poor physical health. Prevalence estimates and multiple logistic regression models of evacuation at any time and evacuation before Hurricane Sandy were created.

Among respondents who evacuated for Hurricane Sandy (51%), 24% had evacuated before the storm. In adjusted analyses, those more likely to evacuate knew they resided in an evacuation zone, had evacuated during Hurricane Irene, or reported pre-Sandy community cohesion. Evacuation was less likely among those who reported being prepared for an emergency. For evacuation timing, evacuation before Hurricane Sandy was less likely among those with pets and those who reported 14 or more poor physical health days.

Higher evacuation rates were observed for respondents seemingly more informed and who lived in neighborhoods with greater social capital. Improved disaster messaging that amplifies these factors may increase adherence with evacuation warnings. (Disaster Med Public Health Preparedness. 2016;10:411–419)

Closure of several New York City (NYC) hospitals after Hurricane Sandy caused an unanticipated, extended surge in patient demand at open hospitals. This study identified hospitals with a significant increase in mental-health-related emergency department, inpatient, and outpatient visits from Medicaid patients displaced by Hurricane Sandy.

NYC Medicaid patients were classified into non-mutually-exclusive geographic categories corresponding to residence in areas served by Bellevue Hospital Center and Coney Island Hospital, the hurricane impact area, and all of NYC. For each geographic region, we compared the observed to the expected number of service visits in the 6 months after the storm. The expected number of visits was calculated from 2-year trends in mental health claims.

Twenty-four facilities in all 5 NYC boroughs experienced patient redistribution from storm-affected areas. Eighteen facilities had a concurrent surge in total Medicaid patients, which suggested that redistribution had a greater impact on resource use at these locations.

The redistribution of Medicaid patients after Hurricane Sandy increased mental health service utilization at facilities not near flooded areas. Our findings can aid in surge capacity planning and thereby improve the continuity of mental health care after a natural disaster. (Disaster Med Public Health Preparedness. 2016;10:420–427)

We aimed to explore how individually experienced disaster-related stressors and collectively experienced community-level damage influenced perceived need for mental health services in the aftermath of Hurricane Sandy.

In a cross-sectional study we analyzed 418 adults who lived in the most affected areas of New York City at the time of the storm. Participants indicated whether they perceived a need for mental health services since the storm and reported on their exposure to disaster-related stressors (eg, displacement, property damage). We located participants in communities (n=293 census tracts) and gathered community-level demographic data through the US Census and data on the number of damaged buildings in each community from the Federal Emergency Management Agency Modeling Task Force.

A total of 7.9% of participants reported mental health service need since the hurricane. Through multilevel binomial logistic regression analysis, we found a cross-level interaction (P=0.04) between individual-level exposure to disaster-related stressors and community-level building damage. Individual-level stressors were significantly predictive of individual service needs in communities with building damage (adjusted odds ratio: 2.56; 95% confidence interval: 1.58-4.16) and not in communities without damage.

Individuals who experienced individual stressors and who lived in more damaged communities were more likely to report need for services than were other persons after Hurricane Sandy. (Disaster Med Public Health Preparedness. 2016;10:428–435)

This collective case study examined how and why specific organizational decision-making processes transpired at 2 large suburban county health departments in lower New York State during their response to Hurricane Sandy in 2012. The study also examined the relationships that the agencies developed with other emerging and established organizations within their respective health systems.

In investigating these themes, the authors conducted in-depth, one-on-one interviews with 30 senior-level public health staff and first responders; reviewed documentation; and moderated 2 focus group discussions with 17 participants.

Although a natural hazard such as a hurricane was not an unexpected event for these health departments, they nevertheless confronted a number of unforeseen challenges during the response phase: prolonged loss of power and fuel, limited situational awareness of the depth and breadth of the storm’s impact among disaster-exposed populations, and coordination problems with a number of organizations that emerged in response to the disaster.

Public health staff had few plans or protocols to guide them and often found themselves improvising and problem-solving with new organizations in the context of an overburdened health care system (Disaster Med Public Health Preparedness. 2016;10:436–442).