Our knowledge about the impact of coping behavior styles in people exposed to stressful disaster events is limited. Effective coping behavior has been shown to be a psychosocial stress modifier in both occupational and nonoccupational settings.

Data were collected by using a web-based survey that administered the Post-Traumatic Stress Disorder (PTSD) Checklist–Civilian, General Coping Questionnaire-30, and a supplementary questionnaire assessing various risk factors. Logistic regression models were used to test for the association of the 3 coping styles with probable PTSD following disaster exposure among federal disaster responders.

In this sample of 549 study subjects, avoidant coping behavior was most associated with probable PTSD. In tested regression models, the odds ratios ranged from 1.19 to 1.26 and 95% confidence intervals ranged from 1.08 to 1.35. With control for various predictors, emotion-based coping behavior was also found to be associated with probable PTSD (odds ratio=1.11; 95% confidence interval: 1.01-1.22).

This study found that in disaster responders exposed to traumatic disaster events, the likelihood of probable PTSD can be influenced by individual coping behavior style and other covariates. The continued probability of disasters underscores the critical importance of these findings both in terms of guiding mental health practitioners in treating exposed disaster responders and in stimulating future research. (Disaster Med Public Health Preparedness. 2016;10:108–117)

The objective was to provide a broad spectrum of New York State and local public health staff the opportunity to contribute anonymous feedback on their own and their agencies’ preparedness and response to Hurricane Sandy, perceived challenges, and recommendations for preparedness improvement.

In 2015, 2 years after Hurricane Sandy, public health staff who worked on Hurricane Sandy response were identified and were provided a link to the anonymous survey. Quantitative analyses were used for survey ratings and qualitative content analyses were used for open-ended questions.

Surveys were completed by 129 local health department (LHD) staff in 3 counties heavily impacted by Sandy (Nassau, Suffolk, and Westchester) and 69 staff in the New York State Department of Health who supported the LHDs. Staff agreed that their Hurricane Sandy responsibilities were clearly defined and that they had access to adequate information to perform their jobs. Challenges were reported in the operational, communication, service interruptions, and staff categories, with LHD staff also reporting challenges with shelters.

New York local and state public health staff indicated that they were prepared for Hurricane Sandy. However, their feedback identified specific challenges and recommendations that can be addressed to implement improved preparedness and response strategies. (Disaster Med Public Health Preparedness. 2016;10:454–462)

Following Hurricane Superstorm Sandy, the New Jersey Department of Health (NJDOH) developed indicators to enhance syndromic surveillance for extreme weather events in EpiCenter, an online system that collects and analyzes real-time chief complaint emergency department (ED) data and classifies each visit by indicator or syndrome.

These severe weather indicators were finalized by using 2 steps: (1) key word inclusion by review of chief complaints from cases where diagnostic codes met selection criteria and (2) key word exclusion by evaluating cases with key words of interest that lacked selected diagnostic codes.

Graphs compared 1-month, 3-month, and 1-year periods of 8 Hurricane Sandy-related severe weather event indicators against the same period in the following year. Spikes in overall ED visits were observed immediately after the hurricane for carbon monoxide (CO) poisoning, the 3 disrupted outpatient medical care indicators, asthma, and methadone-related substance use. Zip code level scan statistics indicated clusters of CO poisoning and increased medicine refill needs during the 2 weeks after Hurricane Sandy. CO poisoning clusters were identified in areas with power outages of 4 days or longer.

This endeavor gave the NJDOH a clearer picture of the effects of Hurricane Sandy and yielded valuable state preparation information to monitor the effects of future severe weather events. (Disaster Med Public Health Preparedness. 2016;10:463–471)

This investigation assessed changes in utilization of inpatient, outpatient, emergency department, and pharmacy services in the aftermath of Hurricane Sandy in 8 counties in New York affected by the storm.

Medicaid data for enrollees residing in 8 counties in New York were used to obtain aggregated daily counts of claims for 4 service types over immediate, 3-month, and 1-year periods following the storm. Negative binomial regression was used to compare service utilization in the storm year with the 2 prior years, within areas differentially affected by the storm.

Changes in service utilization within areas inside or outside the storm zone were most pronounced over the 1-year effect period. Differences in service utilization by year were the same by storm zone designation over the immediate effect period for all services.

Results are consistent with previous investigations demonstrating that some of the greatest effects of a disaster on health services utilization occur well beyond the initial event. One-year effects, combined with some 3-month effects, suggests that storm recovery, with its effect on health care services utilization, may have followed different paths in areas designated as inside or outside the storm zone. (Disaster Med Public Health Preparedness. 2016;10:472–484)

Evacuation and damage following a widespread natural disaster may affect short-term access to medical care. We estimated medical care needs in New Jersey following Hurricane Sandy in 2012.

Hurricane Sandy-related questions regarding medical needs included in the Behavioral Risk Factor Surveillance System survey were administered to survey respondents living in New Jersey when Sandy occurred.

Recently arrived foreign-born residents were more likely than US-born residents to need medical care following Sandy. Others with greater medical needs included the uninsured and evacuees. Persons who evacuated or lived in areas that experienced the greatest hurricane impact were less likely to be able to fill a prescription. Only 15% of New Jerseyans were aware of the Emergency Pharmaceutical Assistance Program (EPAP), a federal program which allows prescription refills for the uninsured following a disaster. Recently arrived foreign-born residents and the uninsured were less frequently aware of EPAP: 8.7% and 10.9%.

Populations with impaired access to care in normal times—such as the recently arrived foreign-born and the uninsured—were also at risk of compromised access in the hurricane’s aftermath. Measures to address prescription refills during a disaster need better promotion among at-risk populations. (Disaster Med Public Health Preparedness. 2016;10:485–491)

We aimed to assess student knowledge of Ebola virus disease (EVD) and opinions about media coverage of EVD.

We conducted a pilot study with a cross-sectional survey and a convenience sample.

Sixty-five college students participated in the survey and reported a low level of basic knowledge of EVD, high health literacy levels, and Internet and health professionals as sources for health information.

This pilot study was an important first step to understanding students’ knowledge of Ebola, common sources of health information, and health literacy levels. Results from this study highlight the need to improve health communication training and further evaluate the quality of health information dissemination via all communication sources. (Disaster Med Public Health Preparedness. 2016;10:641–643)

Assess Hurricane Sandy’s impact on primary care providers’ services in the Rockaways.

In-person surveys were conducted in 2014. A list of 46 health care sites in the area of interest was compiled and each site was called to offer participation in our survey. Respondents included physicians and practice administrators who remained familiar with Sandy-related operational challenges.

Of the 40 sites that opted in, most had been in their current location for more than 10 years (73%) and were a small practice (1 or 2 physicians) before Hurricane Sandy (75%). All but 2 (95%) had to temporarily close or relocate. All sites experienced electrical problems that impacted landline, fax, and Internet. Less than one-quarter (n = 9) reported having a plan for continuity of services before Hurricane Sandy, and 43% reported having a plan poststorm. The majority (80%) did not report coordinating with other primary care stakeholders or receiving support from government agencies during the Sandy response.

Hurricane Sandy significantly disrupted access to primary care in the Rockaways. Severe impact to site operations and infrastructure forced many practices to relocate. Greater emergency response and recovery planning is needed, including with government agencies, to minimize disruptions of access to primary care during disaster recovery. (Disaster Med Public Health Preparedness. 2016;10:492–495)

Barriers to international Ebola preparedness may be elucidated by identifying heterogeneities in arguments to invest in countermeasures during “peace time.”

For each patent family (related patent documents that differed only by limited alterations to the same invention) concerning Ebola and published until the end of 2014 the oldest patent document was analyzed. Grounded theory coding identified 5 unmet needs for (1) vaccines and therapies, (2) control of outbreaks in endemic areas, (3) detection and control of outbreaks in nonendemic areas, (4) better understanding of filoviruses, and (5) protection against bioterrorism. Odds ratios for unmet needs by geographic regions and institution types were compared by using Pearson’s chi-square test.

Statistically significant heterogeneities in unmet need profiles were found. US applicants combined self-centric and altruistic arguments, focusing on medical unmet needs and bioterrorism protection. Russian and Asian applicants emphasized self-centric motives, specifically, detection and control of nonendemic outbreaks. A clear, statistically significant mismatch between industry and academia was found: whereas industrial applicants focused on bioterrorism and neglected detection and control of nonendemic outbreaks, academic applicants did the opposite.

This research identified heterogeneities in articulated needs between geographic regions and stakeholder types. Structural articulation of unmet needs may form the basis for attuning stakeholder engagement strategies while progression across the demand-driven value chain might necessitate international concordance. (Disaster Med Public Health Preparedness. 2016;10:644–648)

To assess the impact of an emergency intensive care unit (EICU) established concomitantly with a freestanding emergency department (ED) during the aftermath of Hurricane Sandy.

We retrospectively reviewed records of all patients in Bellevue’s EICU from freestanding ED opening (December 10, 2012) until hospital inpatient reopening (February 7, 2013). Temporal and clinical data, and disposition upon EICU arrival, and ultimate disposition were evaluated.

Two hundred twenty-seven patients utilized the EICU, representing approximately 1.8% of freestanding ED patients. Ambulance arrival occurred in 31.6% of all EICU patients. Median length of stay was 11.55 hours; this was significantly longer for patients requiring airborne isolation (25.60 versus 11.37 hours, P<0.0001 by Wilcoxon rank sum test). After stabilization and treatment, 39% of EICU patients had an improvement in their disposition status (P<0.0001 by Wilcoxon signed rank test); upon interhospital transfer, the absolute proportion of patients requiring ICU and SDU resources decreased from 37.8% to 27.1% and from 22.2% to 2.7%, respectively.

An EICU attached to a freestanding ED achieved significant reductions in resource-intensive medical care. Flexible, adaptable care systems should be explored for implementation in disaster response. (Disaster Med Public Health Preparedness. 2016;10:496–502)