Descriptive Analysis of Clinical Encounters by Emergency Medical Services Physicians Using the RE-AIM Framework.

CONTEXT: Emergency medical services (EMS) medicine continues to expand and mature as a recognized subspeciality within emergency medicine. In the United States, EMS physicians historically supported training, protocol development, and EMS clinician credentialing. In the past, only limited programs existed in which prehospital physicians were engaged in the direct and routine care of prehospital patients; however, a growing number of EMS programs are recognizing the value and impact of direct EMS physician involvement in prehospital patient care. PROGRAM: A large suburban, volunteer-based EMS agency implemented a volunteer prehospital physician program where providers routinely responded to emergency calls for service. IMPLEMENTATION: Beginning in November 2019, a cadre of board-certified physicians completed a field preceptorship and local protocol orientation. Once complete, the physicians were released to function and respond independently to high acuity emergency calls or any call at their discretion. Prehospital physicians were authorized to utilize their full scope of practice and expected to provide field mentorship to traditional prehospital clinicians. EVALUATION: This study systematically evaluated a prehospital physician program for public health relevance, sustainability, and population health impact using the RE-AIM framework. A retrospective descriptive analysis was performed on the role and responses by a cohort of prehospital physicians using dispatch data and electronic medical records. DISCUSSION: Over the 17-month study period, 9 prehospital physicians responded to 482 calls, predominately cardiac arrests, traumatic injuries, and cardiac/chest pain. The physicians performed 99 procedures and administered 113 medications. Ultimately, the program added physician-level care to the prehospital setting in an ongoing and sustainable way. The routine placement of physicians in the prehospital environment can help benefit patients by enhancing access to advanced clinical knowledge and skills, while also benefiting EMS clinicians through opportunities for enhanced patient-side training, education, and medical control.

An Analysis of After Action Reports From Texas Hurricanes in 2005 and 2017.

OBJECTIVE: To review and analyze After Action Reports from jurisdictions in Texas following Hurricanes Katrina and Rita in 2005 and Hurricane Harvey in 2017 in order to assess the utility of AARs as a quality improvement measurement tool. METHODS: The authors searched the Homeland Security Digital Library, the Assistant Secretary for Preparedness and Response Technical Resources, Assistance Center, and Information Exchange, and Google Scholar for any AARs that covered the response phase of at least one of the 3 hurricanes, mentioned the state of Texas, and suggested solutions to problems. The authors applied public health emergency management (PHEM) domains, as outlined by Rose et al, to frame the AAR analysis. AARs were coded by 2 reviewers independently, with a third acting as adjudicator. As an example, the problem statements in 2005 and 2017 AARs from 1 statewide agency were compared. RESULTS: Sixteen AARs met the inclusion criteria. There were 500 identified problem-solution sets mapped to a PHEM domain. The content was unevenly distributed, with most issues coming under PHEM 2: Policies, Plans, Procedures, and Partnerships at 45.2% in the 2005 hurricanes and 39.9% in 2017. AARs lacked consistent format and were often prepared by the response agencies themselves. Five consistent issues were raised in 2005 and again in 2017. These were volunteer management and credential verification, donations management, information sharing, appropriately identifying those requiring a medical needs shelter, and inadequate transportation to support evacuation. CONCLUSION: Because of the lack of objective data, inconsistent format, unevenly distributed content, and lack of adherence to any framework, AARs are fraught with shortcomings as a tool for PHEM. Inclusion of more objective reporting measures is urgently needed.

Bleeding Control Protections Within US Good Samaritan Laws.

INTRODUCTION: In the United States, all 50 states and the District of Columbia have Good Samaritan Laws (GSLs). Designed to encourage bystanders to aid at the scene of an emergency, GSLs generally limit the risk of civil tort liability if the care is rendered in good faith. Nation-wide, a leading cause of preventable death is uncontrolled external hemorrhage. Public bleeding control initiatives aim to train the public to recognize life-threatening external bleeding, perform life-sustaining interventions (including direct pressure, tourniquet application, and wound packing), and to promote access to bleeding control equipment to ensure a rapid response from bystanders. METHODS: This study sought to identify the GSLs in each state and the District of Columbia to identify what type of responder is covered by the law (eg, all laypersons, only trained individuals, or only licensed health care providers) and if bleeding control is explicitly included or excluded in their Good Samaritan coverage. RESULTS: Good Samaritan Laws providing civil liability qualified immunity were identified in all 50 states and the District of Columbia. One state, Oklahoma, specifically includes bleeding control in its GSLs. Six states - Connecticut, Illinois, Kansas, Kentucky, Michigan, and Missouri - have laws that define those covered under Good Samaritan immunity, generally limiting protection to individuals trained in a standard first aid or resuscitation course or health care clinicians. No state explicitly excludes bleeding control from their GSLs, and one state expressly includes it. CONCLUSION: Nation-wide across the United States, most states have broad bystander coverage within GSLs for emergency medical conditions of all types, including bleeding emergencies, and no state explicitly excludes bleeding control interventions. Some states restrict coverage to those health care personnel or bystanders who have completed a specific training program. Opportunity exists for additional research into those states whose GSLs may not be inclusive of bleeding control interventions.

Protocol for the Support Application for Food PAntrieS trial: design, implementation, and evaluation plan for a digital application to promote healthy food access and support food pantry operations.

Introduction: Food-insecure households commonly rely on food pantries to supplement their nutritional needs, a challenge that was underscored during the COVID-19 pandemic. Food pantries, and the food banks that supply them, face common challenges in meeting variable client volume and dietary needs under normal and emergency (e.g., pandemic, natural disaster) conditions. A scalable digital strategy that has the capacity to streamline the emergency food distribution system, while promoting healthy food options, managing volunteer recruitment and training, and connecting to emergency management systems in times of need, is urgently required. To address this gap, we are developing a working mobile application (app) called the Support Application for Food PAntrieS (SAFPAS) and will evaluate its feasibility and impact on food pantry staff preparedness, stocking, and client uptake of healthful foods and beverages in two urban United States settings. Methods: This paper describes the protocol for a randomized controlled trial of the SAFPAS mobile application. We will conduct formative research in Baltimore, Maryland and Detroit, Michigan to develop and refine the SAFPAS app and increase scalability potential to other urban settings. Then we will test the app in 20 food pantries in Baltimore randomized to intervention or comparison. The impact of the app will be evaluated at several levels of the emergency food system, including food pantry clients (n = 360), food pantry staff and volunteers (n = 100), food pantry stock, and city agencies such as the local food bank and Office of Emergency Management. The primary outcome of the SAFPAS trial is to improve the healthfulness of the foods received by food pantry clients, measured using the Food Assessment Scoring Tool (FAST). Post-trial, we will conduct additional formative research in Detroit to prepare the app for scale-up. Discussion: We anticipate that SAFPAS will improve alignment in the supply and demand for healthy foods among food pantry clients, food pantries, and city agencies which supply food in Baltimore. Real-time, bidirectional communication between entities across the system allows for increased situational awareness at all levels during normal and emergency operations. By conducting formative research in Detroit, we hope to increase the scalability of the SAFPAS app to additional settings nationwide. Clinical trial registration: NCT87654321. https://classic.clinicaltrials.gov/ct2/show/NCT05880004.

Reexamining Health-Care Coalitions in Light of COVID-19.

The national response to the coronavirus disease 2019 (COVID-19) pandemic has highlighted critical weaknesses in domestic health care and public health emergency preparedness, despite nearly 2 decades of federal funding for multiple programs designed to encourage cross-cutting collaboration in emergency response. Health-care coalitions (HCCs), which are funded through the Hospital Preparedness Program, were first piloted in 2007 and have been continuously funded nationwide since 2012 to support broad collaborations across public health, emergency management, emergency medical services, and the emergency response arms of the health-care system within a geographical area. This commentary provides a SWOT (strengths, weaknesses, opportunities, and threats) analysis to summarize the strengths, weaknesses, opportunities, and threats related to the current HCC model against the backdrop of COVID-19. We close with concrete recommendations for better leveraging the HCC model for improved health-care system readiness. These include better evaluating the role of HCCs and their members (including the responsibility of the HCC to better communicate and align with other sectors), reconsidering the existing framework for HCC administration, increasing incentives for meaningful community participation in HCC preparedness, and supporting next-generation development of health-care preparedness systems for future pandemics.

Enhancing Artificial Intelligence for Twitter-based Public Discourse on Food Security During the COVID-19 Pandemic.

OBJECTIVE: Food security during public health emergencies relies on situational awareness of needs and resources. Artificial intelligence (AI) has revolutionized situational awareness during crises, allowing the allocation of resources to needs through machine learning algorithms. Limited research exists monitoring Twitter for changes in the food security-related public discourse during the COVID-19 pandemic. We aim to address that gap with AI by classifying food security topics on Twitter and showing topic frequency per day. METHODS: Tweets were scraped from Twitter from January 2020 through December 2021 using food security keywords. Latent Dirichlet Allocation (LDA) topic modeling was performed, followed by time-series analyses on topic frequency per day. RESULTS: 237,107 tweets were scraped and classified into topics, including food needs and resources, emergency preparedness and response, and mental/physical health. After the WHO's pandemic declaration, there were relative increases in topic density per day regarding food pantries, food banks, economic and food security crises, essential services, and emergency preparedness advice. Threats to food security in Tigray emerged in 2021. CONCLUSIONS: AI is a powerful yet underused tool to monitor food insecurity on social media. Machine learning tools to improve emergency response should be prioritized, along with measurement of impact. Further food insecurity word patterns testing, as generated by this research, with supervised machine learning models can accelerate the uptake of these tools by policymakers and aid organizations.

Factors Associated With Emergency Medical Services Providers' Acceptance of the Seasonal Influenza Vaccine.

OBJECTIVE: Influenza vaccination remains the most effective primary prevention strategy for seasonal influenza. This research explores the percentage of emergency medical services (EMS) clinicians who received the seasonal flu vaccine in a given year, along with their reasons for vaccine acceptance and potential barriers. METHODS: A survey was distributed to all EMS clinicians in Virginia during the 2018-2019 influenza season. The primary outcome was vaccination status. Secondary outcomes were attitudes and perceptions toward influenza vaccination, along with patient care behaviors when treating an influenza patient. RESULTS: Ultimately, 2796 EMS clinicians throughout Virginia completed the survey sufficiently for analysis. Participants were mean 43.5 y old, 60.7% male, and included the full range of certifications. Overall, 79.4% of surveyed EMS clinicians received a seasonal flu vaccine, 74% had previously had the flu, and 18% subjectively reported previous side effects from the flu vaccine. Overall, 54% of respondents believed their agency has influenza or respiratory specific plans or procedures. CONCLUSIONS: In a large, state-wide survey of EMS clinicians, overall influenza vaccination coverage was 79.4%. Understanding the underlying beliefs of EMS clinicians remains a critical priority for protecting these frontline clinicians. Agencies should consider practical policies, such as on-duty vaccination, to increase uptake.

Haddon matrix analysis of medical preparedness for mass gathering music festivals.

Beginning in the 1960s as a tool to disaggregate complicated auto injuries, the Haddon matrix has evolved into a modern method of analyzing complex public health challenges. Throughout the United States and internationally, music festivals have become a rapidly growing and increasingly complex area of mass gathering medicine. Given the austere environment and inherent challenges of providing medical care during a music festival, we utilized a modified Haddon matrix. The objective is to assess the relevant human, physical, and sociocultural factors that impact these festivals throughout the pre-event, event, and post-event time periods. This will ensure an all-hazards preparedness approach to the historically high incidence of traumatic injuries and polysubstance abuse, coupled with modern challenges such as infectious diseases and acts of intentional violence.

Applying the Haddon Matrix to Hospital Earthquake Preparedness and Response.

Since its 1960s origins, the Haddon matrix has served as a tool to understand and prevent diverse mechanisms of injuries and promote safety. Potential remains for broadened application and innovation of the matrix for disaster preparedness. Hospital functionality and efficiency are particularly important components of community vulnerability in developed and developing nations alike. Given the Haddon matrix's user-friendly approach to integrating current engineering concepts, behavioral sciences, and policy dimensions, we seek to apply it in the context of hospital earthquake preparedness and response. The matrix's framework lends itself to interdisciplinary planning and collaboration between social and physical sciences, paving the way for a systems-oriented reduction in vulnerabilities. Here, using an associative approach to integrate seemingly disparate social and physical science disciplines yields innovative insights about hospital disaster preparedness for earthquakes. We illustrate detailed examples of pre-event, event, and post-event engineering, behavioral science, and policy factors that hospital planners should evaluate given the complex nature, rapid onset, and broad variation in impact and outcomes of earthquakes. This novel contextual examination of the Haddon matrix can enhance critical infrastructure disaster preparedness across the epidemiologic triad, by integrating essential principles of behavioral sciences, policy, law, and engineering to earthquake preparedness.

Use of Big Data in Disaster Recovery: An Integrative Literature Review.

OBJECTIVE: Disasters of all varieties have been steadily increasing in frequency. Simultaneously, "big data" has seen explosive growth as a tool in business and private industries while opportunities for robust implementation in disaster management remain nascent. To more explicitly ascertain the current status of big data as applied to disaster recovery, we conducted an integrative literature review. METHODS: Eleven databases were searched using iteratively developed keywords to target big data in a disaster recovery context. All studies were dual-screened by title and abstract followed by dual full-text review to determine if they met inclusion criteria. Articles were included if they focused on big data in a disaster recovery setting and were published in the English-language peer-reviewed literature. RESULTS: After removing duplicates, 25,417 articles were originally identified. Following dual title/abstract review and full-text review, 18 studies were included in the final analysis. Among those, 44% were United States-based and 39% focused on hurricane recovery. Qualitative themes emerged surrounding geographic information systems (GIS), social media, and mental health. CONCLUSIONS: Big data is an evolving tool for recovery from disasters. More research, particularly in real-time applied disaster recovery settings, is needed to further expand the knowledge base for future applications.

Digital Strategies to Improve Food Assistance in Disasters: A Scoping Review.

OBJECTIVE: Modern digital strategies, including Internet of Things, machine learning, and mobile applications, have revolutionized situational awareness during disaster management. Despite their importance, no review of digital strategies to support emergency food security efforts has been conducted. This scoping review fills that gap. METHODS: Keywords were defined within the concepts of food assistance, digital technology, and disasters. After the database searches, PRISMA guidelines were followed to perform a partnered, 2-round scoping literature review. RESULTS: The search identified 3201 articles, and 26 articles met criteria and were included in the analysis. The data types used to describe the tools were text/opinion (42.3%), qualitative (23.1%), system architecture (19.2%), quantitative and qualitative (11.5 %), and quantitative (3.8%). The tools' main functions were Resource Allocation (41.7%), Data Collection and Management (33%), Interagency Communications (15.4 %), Beneficiary Communications (11.5%), and Fundraising (7.7%). The platforms used to achieve these goals were Mobile Application (36%), Internet of Things (20%), Website (20%), and Mobile Survey (8%); 92% covered the disaster response phase. CONCLUSIONS: Digital tools for planning, situational awareness, client choice, and recovery are needed to support emergency food assistance, but there is a lack of these tools and research on their effectiveness across all disaster phases.

Eye of the beholder: Risk calculators and barriers to adoption in surgical trainees.

BACKGROUND: Accurate risk assessment before surgery is complex and hampered by behavioral factors. Underutilized risk-based decision-support tools may counteract these barriers. The purpose of this study was to identify perceptions of and barriers to the use of surgical risk-assessment tools and assess the importance of data framing as a barrier to adoption in surgical trainees. METHODS: We distributed a survey and risk assessment activity to surgical trainees at four training institutions. The primary outcomes of this study were descriptive risk assessment practices currently performed by residents, identifiable influences and obstacles to adoption, and the variability of preference sets when comparing modified System Usability Scores of a current risk calculator to a purpose-built calculator revision. Risk calculator comparison responses were compared with simple and multivariable regression to identify predictors for preferentiality. RESULTS: We collected responses from 124 surgical residents (39% response rate). Participants endorsed familiarity with direct verbal communication (100%), sketch diagrams (87%), and brochures (59%). The most contemporary risk communication frameworks, such as best-worst case scenario framing (38%), case-specific risk calculators (43%), and all-procedure calculators (52%) were the least familiar. Usage favored traditional models of communication with only 26% of residents regularly using a strategy other than direct verbal discussion or anatomic sketch diagrams. Barriers limiting routine use included lack of electronic and clinical workflow integration. The mean modified System Usability Scores domain scores were widely dispersed for all domains, and no domain demonstrated one calculator's superiority over another. CONCLUSION: Risk assessment tools are underutilized by trainees. Of importance, preference sets of clinicians appear to be unpredictable and may benefit more from a customizable, bespoke approach.