Emergency Medical Services Professionals Research Articles

Prevalence of work-related musculoskeletal disorders and associated factors affecting emergency medical services professionals in Jordan: a cross-sectional study

ObjectivesEmergency medical services (EMSs) personnel are at high risk for developing work-related musculoskeletal disorders (WMSDs). However, no studies have yet investigated the prevalence and effect of these disorders on the...

Technology commitment of emergency medical service practitioners and dispatchers

Background: Digitalisation and artificial intelligence (AI) have entered the emergency medical service (EMS). Successful use of them depends on employees' personal attitudes towards modern technology and its use. Aims: This study explored the technology commitment of EMS professionals, dispatchers and emergency physicians, including towards AI systems. Methods: To assess attitudes in the context of AI systems in EMS, employees were asked to answer an online questionnaire between October 2021 and March 2022. Findings: A total of 510 participants, including 184 EMS professionals, 199 dispatchers and 68 emergency physicians, participated. These professionals had moderate to high technology commitment values with minor differences. Technology commitment correlated negatively with age. Gender had no effect. Conclusion: The EMS provides fertile ground for AI systems. It is important to keep in mind that people with uncertainties and reservations need support. The scales in the questionnaire proved to be reliable and validt.

Ambulance Traffic Crashes in Japan: Characteristics of Casualties and Efforts to Improve Ambulance Safety

Background An ambulance traffic crash not only leads to injuries among emergency medical service (EMS) professionals but also injures patients or their companions during transportation. We aimed to describe the incidence of ambulance crashes, seating location, seatbelt use for casualties (ie, both fatal and nonfatal injuries), ambulance safety efforts, and to identify factors affecting the number of ambulance crashes in Japan. Methods We conducted a nationwide survey of all fire departments in Japan. The survey queried each fire department about the number of ambulance crashes between January 1, 2017, and December 31, 2019, the number of casualties, their locations, and seatbelt usage. Additionally, the survey collected information on fire department characteristics, including the number of ambulance dispatches, and their safety efforts including emergency vehicle operation training and seatbelt policies. We used regression methods including a zero-inflated negative binomial model to identify factors associated with the number of crashes. Results Among the 726 fire departments in Japan, 553 (76.2%) responded to the survey, reporting a total of 11,901,210 ambulance dispatches with 1,659 ambulance crashes (13.9 for every 100,000 ambulance dispatches) that resulted in a total of 130 casualties during the 3-year study period (1.1 in every 100,000 dispatches). Among the rear cabin occupants, seatbelt use was limited for both EMS professionals (n = 3/29, 10.3%) and patients/companions (n = 3/26, 11.5%). Only 46.7% of the fire departments had an internal policy regarding seatbelt use. About three-fourths of fire departments (76.3%) conducted emergency vehicle operation training internally. The output of the regression model revealed that fire departments that conduct internal emergency vehicle operation training had fewer ambulance crashes compared to those that do not (odds of being an excessive zero −2.20, 95% CI: −3.6 to −0.8). Conclusion Two-thirds of fire departments experienced at least one crash during the study period. The majority of rear cabin occupants who were injured in ambulance crashes were not wearing a seatbelt. Although efforts to ascertain seatbelt compliance were limited, Japanese fire departments have attempted a variety of methods to reduce ambulance crashes including internal emergency vehicle operation training, which was associated with fewer ambulance crashes.

Positive mental health and sense of coherence among emergency medical service professionals.

Positive mental health (PMH) is a construct used to define and evaluate health from a positive perspective. Healthcare professionals in the emergency ambulance service are more likely to experience mental health disorders than the overall population. The demographic and occupational variables and Sense of Coherence (SOC) can act as predictors of PMH and can serve as protective elements against stress and demanding situations in the work environment. This study aimed to evaluate PMH and its relationship with demographic and occupational variables and determine if SOC is a predictive variable for PMH in health professionals working in the emergency ambulance service. A descriptive, cross-sectional, and correlational study was conducted with a sample of 406 healthcare professionals from the emergency ambulance service in eight health regions of Catalonia, Spain. The following variables were analyzed: Age, biological sex, household members, dependents family members, professional category, type of contract, job satisfaction and sense of collaboration with other institutions. The following assessment instruments were used: Positive Mental Health Questionnaire and Sense of Coherence scale. High scores were obtained in Positive Mental Health (PMH). Study participants who reported feeling completely satisfied in their work also showed a significant relationship with all PMH factors: greater satisfaction with their personal life, in their helpful prosocial attitude toward others, in their capability to deal effectively with stress and navigate conflict scenarios, in their ability to solve problems and self-realization, greater empathy and ability to understand the feelings of others, greater ability to establish interpersonal relationships. Comprehensibility, as a dimension of SOC, was identified as a predictor for some factors of PMH: a greater personal satisfaction, self-control, autonomy, interpersonal skills and total PMHQ. More than 43% of positive mental health in health professionals is explained by higher Meaningfulness and Comprehensibility values of the SOC, the absence of dependent family members and having a non-graduate background. Healthcare workers in the emergency ambulance service had high PMH. Meaningfulness (ME) and Comprehensibility (C), dimensions of SOC, were identified as model predictors of greater PMH, showing higher scores in most of PMH factors. To enhance SOC as a mental health promotion measure, resilience programs should be implemented to help professionals develop skills to face and overcome adverse situations. Educating in stress management thought networks are key elements to strengthen SOC. Managers in emergency medical services play a key role in transforming healthcare work environments to promote positive outcomes in the mental health of their healthcare workers.

Abstract WP78: Large Vessel Occlusion Triage and Routing Utilized for Long-Distance Stroke Transports by Emergency Medical Services (LVO TRUST EMS)

Introduction: Endovascular treatment (EVT) is the most effective therapy in acute ischemic stroke (AIS) with large vessel occlusion (LVO) but its practice is limited to comprehensive stroke centers (CSC). Previous studies have suggested that trained Emergency Medical Services (EMS) professionals can successfully detect LVO cases using a validated screening tool. For these cases, direct transfer to CSC bypassing community hospitals could lead to better outcomes. Methods: This is a retrospective cohort study from 01/01/2018-12/31/2022 of patients with suspected stroke transported by EMS providers from 14 community agencies (primarily fire paramedics) in Southeastern Massachusetts (EMS Region V). When stroke was suspected, EMS providers applied the Field Assessment Stroke Triage for Emergency Destination (FAST-ED) score to assess severity. Bypass of local community hospitals for direct transport to CSC was generally considered for patients with FAST-ED ≥4 and approval of the Region V EMS Medical Director, with the goal of early intervention for severe strokes. In addition to standard education on the use of the FAST-ED score, the EMS agencies received annual aggregate performance feedback and individual case feedback (when requested) from the CSC. Data were collected from the Electronic Health Record (EHR) on demographics, comorbidities, final diagnoses, FAST-ED scores, NIHSS and acute treatments. Descriptive statistics were performed to describe the accuracy of diagnosis and rates of treatment. Results: Among 166 triaged patients to go directly to CSC, 57.6% (95/166) were diagnosed with AIS, and 61.1% (58/95) of them were found to have LVO. There was a higher proportion of AIS or intracranial hemorrhage (ICH) in cases with higher FAST-ED scores. Only 23.4% (39/166) of the cases were diagnosed with stroke mimics, primarily related to lower FAST-ED scores. In total, 36.9% of patients with AIS received EVT: thrombectomy with standard window tPA (21.1%) or late presenter tPA (LKW ≥ 4.5 h, 1.1%), and without tPA (14.7%). Conclusions: A diverse group of community-based EMS services in Southeastern Massachusetts using a prehospital tool can identify patients with severe stroke, i.e. AIS due to LVO or ICH, with acceptable diagnostic accuracy.

PROTOCOL FOR HUMAN EXPOSURE TO OPIOIDS AND CONCENTRATED MEDETOMIDINE USED IN FIELD APPLICATIONS.

Wildlife professionals routinely use potent sedatives and anesthetics when chemically immobilizing wildlife and zoo species in remote environments. Accidental exposure to these prescription veterinary drugs is rare but could be rapidly fatal. Commonly used agents include opioids and α2 adrenoreceptor agonists. These drugs can be reversed with specific antagonists; however, they are often not approved for human use. The protocol created here can be used by wildlife health professionals in a field setting with basic human emergency medical response training in coordination with local Emergency Medical Services (EMS). Key components include, building local relationships between EMS and wildlife professionals, focused EMS training, administering opioid and α2 adrenergic antagonists off label, and local evacuation procedures. This framework could allow wildlife management agencies or zoos to mitigate the risk of human exposures to these commonly used drugs, significantly improving occupational safety in an otherwise high-risk environment.

Electrocardiographic interpretation by emergency medical services professionals in Saudi Arabia: A cross sectional study.

Management of acute myocardial infarction (AMI) and cardiac arrhythmias in prehospital settings is largely determined by providers of emergency medical services (EMS) who can proficiently interpret the electrocardiography (ECG). The aim of this study was to assess the ECG competency of EMS providers in Saudi Arabia. Between Aug and Sep 2022, we invited all EMS providers working for the Saudi Red Crescent Authority in Makkah, Riyadh, and Sharqiyah regions to complete a cross-sectional survey. The survey was used to assess the ability of EMS providers to interpret 12 ECG strips. Characteristics and ECG competency were summarized using descriptive statistics. Differences in ECG competency across paramedics with lower and higher qualifications were assessed. During the study period, 231 participants completed the survey, and all were included. The overall mean age was 33.4, and most participants were male (94.8%). Nearly half of the participants were paramedics with an associate degree and 46.4% were paramedics with higher degrees. The average rate of correct answers to the 12 ECG strips was 43.3% (95% CI: 35.4%, 51.3%). Atrial flutter, ventricular fibrillation, atrial fibrillation, 3rd degree heart block, and ventricular tachycardia were identified by 52.8%, 60.2%, 42.0%, 40.7%, and 49.4% of the participants, respectively. The strip with an AMI was identified by 41.1%, while a pathological Q wave and ventricular extrasystole were identified by 19.1% and 24.7%, respectively. Paramedics with higher qualifications were as 28.0%-61.0% more likely to correctly interpret the 12 ECG strips compared to those with an associate degree (p-value across all variables was ≤ 0.001). While the majority of participants in our region were unable to correctly answer the 12 ECG questionnaire, paramedics with higher qualifications were. Our study indicates that there is a need for evidenced-based ECG curricula targeting different levels of EMS professionals.

Patient factors associated with conveyance decision-making by Emergency Medical Services professionals in patients with a syncope: a cross-sectional factorial survey design

BackgroundThe clinical decision-making of non-conveyance is perceived as complex and difficult by emergency medical services (EMS) professionals. Patients with a transient loss of consciousness (TLOC) based on syncope constitute a significant part of the non-conveyance population. Risk stratification is the basis of the clinical decision-making process by EMS professionals. This risk stratification is based on various patient factors. This study aimed to explore patient factors significantly associated with conveyance decision-making by EMS professionals in patients with a TLOC based on syncope.MethodsA cross-sectional vignette study with a factorial survey design was conducted. Patient factors were derived from the “National Protocol Ambulance Care”, and all possible combinations of these factors and underlying categories were combined, resulting in 256 unique vignettes (2*4*4*4*2 = 256). Patient factors presented either low-risk or high-risk factors for adverse events. Data were collected through an online questionnaire, in which participants received a random sample of 15 vignettes. For each vignette, the respondent indicated whether the patient would need to be conveyed to the emergency department or not. A multilevel logistic regression analysis with stepwise backward elimination was performed to analyse factors significantly associated with conveyance decision-making. In the logistic model, we modelled the probability of non-conveyance.Results110 respondents were included, with 1646 vignettes being assessed. Mean age 45.5 (SD 9.3), male gender 63.6%, and years of experience 13.2 (SD 8.9). Multilevel analysis showed two patient factors contributing significantly to conveyance decision-making: ‘red flags’ and ‘prehospital electrocardiogram (ECG)’. Of these patient factors, three underlying categories were significantly associated with non-conveyance: ‘sudden cardiac death < 40 years of age in family history’ (OR 0.33, 95% CI 0.22–0.50; p < 0.001), ‘cardiovascular abnormalities, pulmonary embolism or pulmonary hypertension in the medical history’ (OR 0.62, 95% CI 0.43–0.91; p = 0.01), and ‘abnormal prehospital ECG’ (OR 0.54, 95% CI 0.41–0.72; p < 0.001).ConclusionSudden cardiac death < 40 years of age in family history, medical history, and abnormal ECG are significantly negatively associated with non-conveyance decision-making by EMS professionals in patients with a TLOC based on syncope. Low-risk factors do not play a significant role in conveyance decision-making.

Social Determinants of Health in EMS Records: A Mixed-methods Analysis Using Natural Language Processing and Qualitative Content Analysis.

Introduction: Social determinants of health (SDoH) are known to impact the health and well-being of patients. However, information regarding them is not always collected in healthcare interactions, and healthcare professionals are not always well-trained or equipped to address them. Emergency medical services (EMS) professionals are uniquely positioned to observe and attend to SDoH because of their presence in patients' environments; however, the transmission of that information may be lost during transitions of care. Documentation of SDoH in EMS records may be helpful in identifying and addressing patients' insecurities and improving their health outcomes. Our objective in this study was to determine the presence of SDoH information in adult EMS records and understand how such information is referenced, appraised, and linked to other determinants by EMS personnel. Methods: Using EMS records for adult patients in the 2019 ESO Data Collaborative public-use research dataset using a natural language processing (NLP) algorithm, we identified free-text narratives containing documentation of at least one SDoH from categories associated with food, housing, employment, insurance, financial, and social support insecurities. From the NLP corpus, we randomly selected 100 records from each of the SDoH categories for qualitative content analysis using grounded theory. Results: Of the 5,665,229 records analyzed by the NLP algorithm, 175,378 (3.1%) were identified as containing at least one reference to SDoH. References to those SDoH were centered around the social topics of accessibility, mental health, physical health, and substance use. There were infrequent explicit references to other SDoH in the EMS records, but some relationships between categories could be inferred from contexts. Appraisals of patients' employment, food, and housing insecurities were mostly negative. Narratives including social support and financial insecurities were less negatively appraised, while those regarding insurance insecurities were mostly neutral and related to EMS operations and procedures. Conclusion: The social determinants of health are infrequently documented in EMS records. When they are included, they are infrequently explicitly linked to other SDoH categories and are often negatively appraised by EMS professionals. Given their unique position to observe and share patients' SDoH information, EMS professionals should be trained to understand, document, and address SDoH in their practice.

Validation of a Simulation-Based Resuscitation Curriculum for Maternal Cardiac Arrest.

To assess the knowledge, skills, and self-efficacy of health care participants completing a simulation-based blended learning training curriculum on managing maternal medical emergencies and maternal cardiac arrest (Obstetric Life Support). A formative assessment of the Obstetric Life Support curriculum was performed with a prehospital cohort comprising emergency medical services professionals and a hospital-based cohort comprising health care professionals who work primarily in hospital or urgent care settings and respond to maternal medical emergencies. The training consisted of self-guided precourse work and an instructor-led simulation course using a customized low-fidelity simulator. Baseline and postcourse assessments included multiple-choice cognitive test, self-efficacy questionnaire, and graded Megacode assessment of the team leader. Megacode scores and pass rates were analyzed descriptively. Pre- and post-self-confidence assessments were compared with an exact binomial test, and cognitive scores were compared with generalized linear mixed models. The training was offered to 88 participants between December 2019 and November 2021. Eighty-five participants consented to participation; 77 participants completed the training over eight sessions. At baseline, fewer than half of participants were able to achieve a passing score on the cognitive assessment as determined by the expert panel. After the course, mean cognitive assessment scores improved by 13 points, from 69.4% at baseline to 82.4% after the course (95% CI 10.9-15.1, P <.001). Megacode scores averaged 90.7±6.4%. The Megacode pass rate was 96.1%. There were significant improvements in participant self-efficacy, and the majority of participants (92.6%) agreed or strongly agreed that the course met its educational objectives. After completing a simulation-based blended learning program focused on managing maternal cardiac arrest using a customized low-fidelity simulator, most participants achieved a defensible passing Megacode score and significantly improved their knowledge, skills, and self-efficacy.

Feedback for Emergency Ambulance Staff: A National Review of Current Practice Informed by Realist Evaluation Methodology.

Research suggests that feedback in Emergency Medical Services (EMS) positively affects quality of care and professional development. However, the mechanisms by which feedback achieves its effects still need to be better understood across healthcare settings. This study aimed to understand how United Kingdom (UK) ambulance services provide feedback for EMS professionals and develop a programme theory of how feedback works within EMS, using a mixed-methods, realist evaluation framework. A national cross-sectional survey was conducted to identify feedback initiatives in UK ambulance services, followed by four in-depth case studies involving qualitative interviews and documentary analysis. We used qualitative content analysis and descriptive statistics to analyse survey responses from 40 prehospital feedback initiatives, alongside retroductive analysis of 17 interviews and six documents from case study sites. Feedback initiatives mainly provided individual patient outcome feedback through "pull" initiatives triggered by staff requests. Challenges related to information governance were identified. Our programme theory of feedback to EMS professionals encompassed context (healthcare professional and organisational characteristics), mechanisms (feedback and implementation characteristics, psychological reasoning) and outcomes (implementation, staff and service outcomes). This study suggests that most UK ambulance services use a range of feedback initiatives and provides 24 empirically based testable hypotheses for future research.

Technology commitment of emergency medical service practitioners and dispatchers

Background Digitalization and artificial intelligence (AI) have entered the emergency medical service (EMS). Successful use of them depends on employees’ personal attitudes towards modern technology and its use. Aims This study explored the technology commitment of EMS professionals, dispatchers and emergency physicians, including towards AI systems. Methods To assess attitudes in the context of AI systems in EMS, employees were asked to answer an online questionnaire between October 2021 and March 2022. Findings A total of 510 participants, including 184 EMS professionals, 199 dispatchers and 68 emergency physicians, participated. These professionals had moderate to high technology commitment values with minor differences. Technology commitment correlated negatively with age. Gender had no effect. Conclusion The EMS provides fertile ground for AI systems. It is important to keep in mind that people with uncertainties and reservations need support. The scales in the questionnaire proved to be reliable and valid.

EMS workers on the frontline of the opioid epidemic: effects of sleep and social support on depression

PurposeThis study focuses on Emergency Medical Service (EMS) personnel and examines the impact of overdose calls for opioids and attitudes of EMS workers towards individuals with substance use disorders on EMS workers' mental well-being while accounting for self-reported sleep and social support.Design/methodology/approachThis cross-sectional study surveyed EMS workers (N = 608) across Pennsylvania on demographic variables, frequency of overdose calls, attitudes towards opioid use and naloxone administration on measures of mental health. Multiple logistic regression models were estimated to examine the relationship of perception of opioid use and treatment and likelihood that EMS workers might experience depression.FindingsAuthors found two main findings: (1) There was a significant relationship between more negative perceptions about opioid use/naloxone and the likelihood that EMS workers might experience depression. (2) There was a significant relationship between number of overdose calls EMS workers responded to and likelihood of depression, which appeared to be alleviated by improvements in sleep and social support.Research limitations/implicationsThere is potential opportunity for EMS employers to minimize the impact of the opioid epidemic on EMS worker mental health. Trainings to highlight effectiveness of treatment should be further explored, along with ways to enhance social support and improve sleep for EMS workers to protect against the stress associated with responding to this public health crisis.Originality/valueThis study adds to the literature on the impact of the opioid epidemic as it relates to mental health outcomes for EMS professionals providing frontline care to those experiencing opioid use disorders.

Dynamic deployment models for high-performance Emergency Medical Services

While the emergency medical services profession has evolved substantially, the way that paramedic resources respond to these incidents has stayed relatively the same, mostly mirroring deployment models utilized by fire departments. The problem is that fire and paramedic services require two very different types of staffing. Fire departments are mainly tasked with protecting property, and therefore follow a static 24/7 deployment model due to predictable demand (PRPS, 2020a). This is not the case however with paramedic services. While fire departments focus on property, paramedics requires a greater focus on protecting people and health. Over the past decade, there has been a staggering increase in medical calls, which has overwhelmed paramedic services across Canada. During the COVID-19 pandemic, most of the world saw ambulance call volumes and response times increase by up to 50% (Amiry &amp; Maguire, 2021), especially for life-threatening emergencies (Prezant et al, 2020). It proves the importance of keeping staffing and deployment planning current to adequately deal with these surges. With regular instances of little to no ambulances available, even on regular days, there need to be improved methods identified for better resource management. For the purposes of this study, the deployment plans at two of Ontario’s largest and busiest paramedic services (referred to as Service A and Service B) were examined, to determine how different deployment models help paramedic services adapt to their call volume and remain prepared for larger-scale emergency responses.

Prediction of Out-of-Hospital Cardiac Arrest Survival Outcomes Using a Hybrid Agnostic Explanation TabNet Model

Survival after out-of-hospital cardiac arrest (OHCA) is contingent on time-sensitive interventions taken by onlookers, emergency call operators, first responders, emergency medical services (EMS) personnel, and hospital healthcare staff. By building integrated cardiac resuscitation systems of care, measurement systems, and techniques for assuring the correct execution of evidence-based treatments by bystanders, EMS professionals, and hospital employees, survival results can be improved. To aid in OHCA prognosis and treatment, we develop a hybrid agnostic explanation TabNet (HAE-TabNet) model to predict OHCA patient survival. According to the results, the HAE-TabNet model has an “Area under the receiver operating characteristic curve value” (ROC AUC) score of 0.9934 (95% confidence interval 0.9933–0.9935), which outperformed other machine learning models in the previous study, such as XGBoost, k-nearest neighbors, random forest, decision trees, and logistic regression. In order to achieve model prediction explainability for a non-expert in the artificial intelligence field, we combined the HAE-TabNet model with a LIME-based explainable model. This HAE-TabNet model may assist medical professionals in the prognosis and treatment of OHCA patients effectively.

Types and effects of feedback for emergency ambulance staff: a systematic mixed studies review and meta-analysis

BackgroundExtensive research has been conducted into the effects of feedback interventions within many areas of healthcare, but prehospital emergency care has been relatively neglected. Exploratory work suggests that enhancing feedback...

Psychosocial Work Stress and Occupational Stressors in Emergency Medical Services

Emergency medical service (EMS) professionals often experience work stress, which escalated during COVID-19. High job demand in the EMS profession may lead to progressive decline in physical and mental health. We investigated the prevalence of psychosocial job stress in the three levels of EMS: basic, advanced, and paramedic, before and during the COVID-19 pandemic. EMS professionals (n = 36) were recruited from EMS agencies following the Institutional Review Board approval. Participants took surveys on demographics, personal characteristics, chronic diseases, and work schedules. Job stress indicators, namely the effort-reward ratio (ERR) and overcommitment (OC), were evaluated from survey questionnaires using the effort-reward imbalance model. Associations of job stress indicators with age, sex, body mass index, and working conditions were measured by logistic regression. Psychosocial work stress was prevalent with effort reward ratio > 1 in 83% of participants and overcommitment scores > 13 in 89% of participants. Age, body mass index, and work hours showed strong associations with ERR and OC scores. The investigation findings suggested that a psychosocial work environment is prevalent among EMS, as revealed by high ERR, OC, and their correlation with sleep apnea in rotating shift employees. Appropriate interventions may be helpful in reducing psychosocial work stress in EMS professionals.

Ensuring Optimal Mental Health Programs and Policies for First Responders: Opportunities and Challenges in One U.S. State

This study examined opportunities and challenges faced by individuals working to advance mental health policy and programming for first responders. We utilized qualitative content analysis and interviews with 16 firefighters, emergency medical services professionals, law enforcement officers, and others involved in programming or policy in the U.S. state of Ohio. Six themes characterized opportunities and challenges encountered: (1) variations in programming and policy exist across jurisdictions; (2) opportunities exist to enhance mental health awareness and self-care training for first responders; (3) need exists for specialized mental health clinicians accustomed to and capable of effectively working with first responders; (4) confidentiality protections are lacking for peer supporters not trained in critical incident stress management; (5) having an internal champion and broader support is key to program and policy advancement; and (6) interdepartmental collaboration provides opportunities for sharing resources and best practices. Results illustrate continued need for strategic policymaking, program development, and coordination.

Secondary trauma response in emergency services systems (STRESS) project: quantifying and predicting vicarious trauma in emergency medical services personnel.

There is a lack of literature exploring vicarious trauma (VT) in emergency medical services (EMS) personnel. VT is emotional countertransference that occurs between the clinician and patient. The presence of trauma- or stressor-related disorders could be a factor in the rising suicide rate in these clinicians. This was a cross-sectional statewide study of American EMS personnel, using one-stage area sampling. Nine EMS agencies were selected to participate based on geographic area, who then provided data about annual call volume and mix. The Impact of Event Scale-Revised was used to quantify VT. Univariate analyses used chi-square and ANOVA to evaluate the relationship between VT and various psychosocial and demographic characteristics. Factors significant in the univariate analyses were included in a logistic regression to determine predictors of VT while controlling for potential confounders. A total of 691 respondents participated in the study, of which 44.4% were female and 12.3% were minorities. Overall, 40.9% had VT. Of those, 52.5% scored high enough to potentially illicit immune system modulation. Compared to those without VT, more than four times as many EMS professionals with VT self-reported as currently in counselling (9.2% v. 2.2%; p < 0.01). Approximately one in four EMS professionals (24.0%) had considered suicide, while nearly half (45.0%) knew an EMS provider who had died by suicide. There were multiple predictors of VT, including female sex (odds ratio [OR] 1.55; p = 0.02) and childhood exposure to emotional neglect (OR 2.28; p < 0.01) or domestic violence (OR 1.91; p = 0.05). Those with other stress syndromes, such as burnout or compassion fatigue, were 2.1 and 4.3 times more likely to have VT, respectively. Among study participants, 41% suffered from VT, and 24% had considered suicide. As a largely understudied phenomenon in EMS professionals, additional research on VT should focus on causality and the mitigation of sentinel events experienced in the workplace.

Modernizing payment to critical access hospitals: A proposal for the next iteration of the Flex Program.

Modernizing payment to critical access hospitals: A proposal for the next iteration of the Flex Program.