The release of ChatGPT in November 2022 drastically lowered the barrier to artificial intelligence with an intuitive web-based interface to a large language model. This study addressed the research problem: “Can ChatGPT adequately triage simulated disaster patients using the Simple Triage and Rapid Treatment (START) tool?”

Five trained disaster medicine physicians developed nine prompts. A Python script queried ChatGPT Version 4 with each prompt combined with 391 validated patient vignettes. Ten repetitions of each combination were performed: 35190 simulated triages.

A valid START score was returned In 35102 queries (99.7%). There was considerable variability in the results. Repeatability (use of the same prompt repeatedly) was responsible for 14.0% of overall variation. Reproducibility (use of different prompts) was responsible for 4.1% of overall variation. Accuracy of ChatGPT for START was 61.4% with a 5.0% under-triage rate and a 33.6% over-triage rate. Accuracy varied by prompt between 45.8% and 68.6%.

This study suggests that the current ChatGPT large language model is not sufficient for triage of simulated patients using START due to poor repeatability and accuracy. Medical practitioners should be aware that while ChatGPT can be a valuable tool, it may lack consistency and may provide false information.

The potential for a radiological disaster from natural environmental causes, human error, aging nuclear power plants, buried radioactive waste, regular ground transport of radioactive materials, a shared international border, and the threat of radiological terrorism make the Western New York region vulnerable for a radiation emergency. A global threat from Russia and intentional uses of nuclear weapons by non-state approved users, such as North Korea, raise public awareness. Limited importance has been given to educating medical providers and emergency planners with radiological knowledge and preparation.

The goal of this study was to understand the relationships of the peerception of risk, emergency self-efficacy and willingness to respond to a radiation emergency among health professionals.

Two hundred sixty-nine (269) medical and health practitioners were selected for a purposive, convenience sample in an eight-county region of Western New York. Participants identified the need for improved knowledge and preparation for the management of a radiation emergency.

Statistical findings using the author created Structural Equation Model (SEM) revealed a goodness of fit for perception of risk as a strong predictor of willingness to respond to a radiation emergency.

The SEM study names the variables that influence training for global nuclear realities.

the line between our physical and digital selves becomes increasingly blurry, sexual, and reproductive data rights must be safeguarded as a key lever of bodily autonomy and gender equality.

Kati Collective will facilitate an engaging workshop on protecting personal sexual reproductive health data rights and bodily autonomy to build a shared understanding of this critical issue and begin to explore pathways for solutions.

Develop co-created policy-level recommendations and pathways to action contributing to improved understanding, alignment and collaboration among key stakeholders, and improved protection, ownership, governance of SRH data.

There is an urgent need for collective action to co-develop policy-level recommendations and pathways to action to protect SRH rights and bodily autonomy.

The objective of this research is to assess how New York City Health + Hospitals emergency management professionals (EMPs) perceive climate change-related events, to a.) improve communication for increased receptivity and b.) identify gaps in perceived risks.

The study surveys EMPs from 13 geographically different healthcare facilities in NYC about their perceptions on climate change and its related emergency scenarios, preferred information sources on climate change, and the best modes of communication during climate-related extreme weather events.

The results of this study support a.) the importance of official hospital-system guidance regarding climate risks b.) the use of a diverse array of terminology, including messaging that refrains from the phrase ‘climate change’ and instead refers to the ‘future’ c.) the incorporation of clear actionable deliverables and d.) the inclusion of expert voices into messaging. Overall, recent events and upcoming seasonal hazards appear to affect perception of risk more than objective measures. Knowledge of city and temporal factors that impact perceived risk can be mobilized to harness engagement.

The results of this study inform best practices for climate communications to EMPs, critical in preparing our health systems for future climate disasters.

This article explores the health-related challenges for refugees now residing in the United States and highlights strategies for building resilience in this vulnerable population.

This is a descriptive study identifying six common challenges refugees face when relocating from their country to another country.

Refugees in the United States face many challenges, including language barriers, access to quality education, discrimination based on cultural and religious differences, and inadequate healthcare access. Child refugees, constituting a significant portion of the refugee population, face distinct challenges compared to adults. Many refugees grapple with psychological trauma and access to proper healthcare.

Refugees face many challenges when transitioning to a new country, including losing community, familial support, safety, and cultural norms. To address these challenges in the United States, advocates, and public health advisors must actively engage with refugees to assess their needs and build resilient communities. Proactive outreach tailored to refugees’ vulnerabilities is crucial to ensuring their well-being and successful integration into their new homes.

The present study aimed to analyze the factors that influence the increase in the desire to re-engage volunteer rescuers and saviors of the Red Crescent Society of the Islamic Republic of Iran.

This qualitative descriptive phenomenological study involved the participation of volunteers who had not volunteered in the Iranian Red Crescent Society (IRCS) for at least one year but expressed a willingness to be re-engaged. The semi-structured in-depth interview process and data collection continued until the theoretical saturation stage was reached. The collected data was analyzed using the interpretive approach and the 7-step Claesian method.

The results show that several factors influence the increase in the desire to reengage volunteer rescuers and members of IRCS. These factors were categorized into 136 codes, 63 main codes, 20 clusters, 7 classes, and 3 themes, namely “organizational support and understanding,” “work characteristics,” and “organizational credibility.” The results of the study indicate that each of the identified factors plays a significant role in the dynamics of the re-engagement process for rescuers and volunteer rescuers within the IRCS.

The experiences of volunteer rescuers and members can be utilized to enhance the recruitment and retention of volunteer human resources within the IRCS.

Small island developing states in the Eastern Caribbean face a dual burden of climate-related disasters and noncommunicable diseases (NCDs). While the relationship between disasters and health has been demonstrated for acute emergencies, there is limited understanding of the impacts of repeated disaster exposure on NCD management and control. The Eastern Caribbean Health Outcomes Research Network (ECHORN) leverages its robust community-driven network for data sharing and implementation science related to furthering our understanding of the intersection of disaster exposure and NCDs.

The ECHORN cohort study is an ongoing longitudinal cohort study characterizing risk and protective factors for NCDs in the Eastern Caribbean. The cohort (N=2,961) was empaneled between 2013-2018 across four sites. Regional partners identified disaster exposure as a priority for research and coordination moving forward.

ECHORN Wave III includes a disaster exposure survey to analyze the impact of exposure to repeated climate events and natural disasters (COVID19, earthquakes) on NCD management in the Eastern Caribbean. This first-of-its-kind study offers a data-driven approach to sustainable NCD management and climate-resilient policy development.

With the anticipated acceleration of NCDs and disasters across the Caribbean, ECHORN’s work to inform disaster-resilient NCD management and control is imperative and time-sensitive.

In a model of military-civilian trauma system integration, coordination of mass casualty incident response by military and civilian entities could be more effective through reduced duplication of services and improved resource utilization. The following study seeks to examine and address the challenges faced in establishing integrated trauma systems.

Through a survey this study comprehensively gathered data on trauma system capabilities and the current degree of military-civilian integration of 73 individual countries. Through a scoring method based on participant responses, countries were classified into three distinct integration types, ranging from minimal (Type I) to robust (Type III). This method allowed analysis of the association of numerous trauma system factors with increased integration status.

A higher integration status is associated with coordinated use of military and civilian resources for aero-medical evacuation (Chi Square p<0.05). With regards to resource utilization, countries with higher integration status exhibited more rapid availability of blood products (Chi Square p<0.05), a critical factor contributing to improved mortality among traumatically injured patients.

By identifying key areas where integration can be strengthened, and by understanding the underlying factors shaping these frameworks, this research seeks to build more collaborative and resource-efficient responses to mass casualty incidents globally.

Mass casualty incidents (MCIs) come unannounced, mandating the immediate shift from the daily routine to crisis mode through the implementation of an MCI response plan (plan). On August 4, 2020, a massive explosion devastated the Lebanese capital, Beirut, causing 8643 injuries and 200 deaths.1 The private Lebanese American University Medical Center in Beirut has an an estimated 10,000 emergency department (ED) visits per year. The purpose of this study is to analyse the plan of this private hospital in a low resource country in response to a blast MCI.

A retrospective analysis of the expected outcome of the pre-existing plan was performed.

Major flaws were noted. Triage was impossible using the START method and will be done outside the ED dividing patients into walking and non-walking. Identification and registration of patients was impossible. Patients will be assigned a number and be registered later. Colored jackets were created to recognize response team members for better organization.t Radiologic imaging will be ordered only when they change the patients’ disposition.

This analysis showed failure of the plan at different levels and adjustments were made to advance the plan. Periodic exercises and annual review are needed for continuous improvement.