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Humanitarian mine action (HMA) stakeholders have an organized presence with well-resourced medical capability in many conflict and post-conflict settings. Humanitarian mine action has the potential to positively augment local trauma care capacity for civilian casualties of explosive ordnance (EO) and explosive weapons (EWs). Yet at present, few strategies exist for coordinated engagement between HMA and the health sector to support emergency care system strengthening to improve outcomes among EO/EW casualties.
Methods:
A scoping literature review was conducted to identify records that described trauma care interventions pertinent to civilian casualties of EO/EW in resource-constrained settings using structured searches of indexed databases and grey literature. A 2017 World Health Organization (WHO) review on trauma systems components in low- and middle-income countries (LMICs) was updated with additional eligible reports describing trauma care interventions in LMICs or among civilian casualties of EO/EWs after 2001.
Results:
A total of 14,195 non-duplicative records were retrieved, of which 48 reports met eligibility criteria. Seventy-four reports from the 2017 WHO review and 16 reports identified from reference lists yielded 138 reports describing interventions in 47 countries. Intervention efficacy was assessed using heterogenous measures ranging from trainee satisfaction to patient outcomes; only 39 reported mortality differences. Interventions that could feasibly be supported by HMA stakeholders were synthesized into a bundle of opportunities for HMA engagement designated links in a Civilian Casualty Care Chain (C-CCC).
Conclusions:
This review identified trauma care interventions with the potential to reduce mortality and disability among civilian EO/EW casualties that could be feasibly supported by HMA stakeholders. In partnership with local and multi-lateral health authorities, HMA can leverage their medical capabilities and expertise to strengthen emergency care capacity to improve trauma outcomes in settings affected by EO/EWs.
Over 2.7 million people have an opioid use disorder (OUD). Opioid-related deaths have steadily increased over the last decade. Although emergency department (ED)-based medication for OUD (MOUD) has been successful in initiating treatment for patients, there still is a need for improved access. This study describes the development of a prehospital MOUD program.
Methods:
An interdisciplinary team expanded a MOUD program into the prehospital setting through the local city fire department Quick Response Team (QRT) to identify patients appropriate for MOUD treatment. The QRT consisted of a paramedic, social worker, and police officer. This team visited eligible patients (i.e., history of an opioid overdose and received prehospital care the previous week). The implementation team developed a prehospital MOUD protocol and a two-hour training course for QRT personnel. Implementation also required a signed contract between local hospitals and the fire department. A drug license was necessary for the QRT vehicle to carry buprenorphine/naloxone, and a process to restock the vehicle was created. Pamphlets were created to provide to patients. A clinical algorithm was created for substance use disorder (SUD) care coordinators to provide a transition of care for patients. Metrics to evaluate the program included the number of patients seen, the number enrolled in an MOUD program, and the number of naloxone kits dispensed. Data were entered into iPads designated for the QRT and uploaded into the Research Electronic Data Capture (REDCap) program.
Results:
Over the six-month pilot, the QRT made 348 visits. Of these, the QRT successfully contacted 83 individuals, and no individuals elected to be evaluated for new MOUD treatment. Nine fatal opioid overdoses occurred during the study period. A total of 55 naloxone kits were distributed, and all patients received MOUD information pamphlets.
Conclusions:
A prehospital MOUD program can be established to expand access to early treatment and continuity of care for patients with OUD. The program was well-received by the local city fire department and QRT. There is a plan to expand the prehospital MOUD program to other local fire departments with QRTs.
We describe activity, outcomes, and benefits after streaming low urgency attenders to General practice services at Door of Accident and Emergency departments (GDAE).
Background:
Many attendances to A&Es are for non-urgent health problems that could be better met by primary care rather than urgent care clinicians. It is valuable to monitor service activity, outcomes, service user demographics, and potential benefits when primary care is co-located with A&E departments.
Methods:
As a service evaluation, we describe and analyse GDAE users, reasons for presentation, wait times, outcomes, and co-located A&E wait times at two hospitals in eastern England. Distributions of outcomes, wait times, reasons for attendance, deprivation, and age groups were compared for GDAE and usual A&E attenders at each site using Pearson chi-square tests and accelerated time failure modelling. Performance in a four-hour key performance indicator was descriptively compared for co-located and similar emergency departments.
Findings:
Each GDAE saw about 1025 patients per month. Wait times for usual accident and emergency (A&E) care are relatively short at only one site. Reattendances were common (about 11% of unique patients), 75% of GDAE attenders were seen within 1 hour of arrival, 7% of patients initially allocated to GDAE were referred back to A&E for further investigations, and 59% of GDAE patients were treated and discharged with no further treatment or referral required. Pain, injury, infection, or feeling generally unwell each comprised > 10% of primary reasons for attendance. At James Paget University Hospital, 4.3%, and at Queen Elizabeth Hospital, 16.1% of GDAE attendances led to referral to specialist health services. GDAE attenders were younger and more socially deprived than attenders to co-located A&Es. Patients were seen quickly at both GDAE sites, but there were differences in counts of specialist referrals and wait times. Process evaluation could illuminate reasons for differences between study sites.
The World Health Organization has classified Emergency Medical Teams (EMTs) into 3 types for international disaster response. They range from those that operate as daytime clinic facilities to those that have complete hospital capabilities that can provide 24/7 inpatient care. The most complex EMT (Type 3) includes a full-scale emergency department (ED), operating rooms, a medical/surgical ward, an intensive care unit, and laboratory services. The Israel Defense Forces Field Hospital was the first to be officially designated as a Type 3 EMT. Two models have been used by the Israeli EMT depending on the disaster response: standalone and hybrid. The standalone model is where the ED and hospital are set up in tents independent of any existing health care facilities. The hybrid model is where the equipment and personnel are combined with existing structures. Pediatric patients are examined in either a designated area staffed by specialized pediatric emergency physicians and nurses or integrated into the general ED. Models of ED layout, staffing, scheduling, and equipment are also described. While the Israeli team is a Type 3 EMT, the different models of ED organization can also be applied to other types of field hospitals to maximize care in the disaster setting.
Rates of self-harm among children and young people (CYP) have been on the rise, presenting major public health concerns in Australia and worldwide. However, there is a scarcity of evidence relating to self-harm among CYP from culturally and linguistically diverse (CALD) backgrounds.
Aims
To analyse the relationship between self-harm-related mental health presentations of CYP to emergency departments and CALD status in South Western Sydney (SWS), Australia.
Method
We analysed electronic medical records of mental health-related emergency department presentations by CYP aged between 10 and up to 18 years in six public hospitals in the SWS region from January 2016 to March 2022. A multilevel logistic regression model was used on these data to assess the association between self-harm-related presentations and CALD status while adjusting for covariates and individual-level clustering.
Results
Self-harm accounted for 2457 (31.5%) of the 7789 mental health-related emergency department presentations by CYP; CYP from a CALD background accounted for only 8% (n = 198) of the self-harm-related presentations. CYP from the lowest two most socioeconomic disadvantaged areas made 63% (n = 1544) of the total self-harm-related presentations. Findings of the regression models showed that CYP from a CALD background (compared with those from non-CALD backgrounds) had 19% lower odds of self-harm (adjusted odds ratio 0.81, 95% CI 0.66–0.99).
Conclusions
Findings of this study provide insights into the self-harm-related mental health presentations and other critical clinical features related to CYP from CALD backgrounds that could better inform health service planning and policy to manage self-harm presentations and mental health problems among CYP.
This study evaluates the Emergency Medical Service system and overall emergency preparedness by analyzing ambulance-transported patients during the February 6, 2023 earthquakes, focusing on those without earthquake-related injuries (medical emergencies and traumas not caused by earthquakes).
Methods
A retrospective, observational case series was conducted, involving patients aged 18 and above transported by ambulance between February 6 and March 6, 2023. Patient demographic characteristics, vital signs, diagnoses, treatments, and outcomes were recorded. Predisposing factors for ambulance transportation including post-earthquake health facility issues, housing problems, hygiene, heating, and smoke exposure were meticulously analyzed.
Results
The study included 1872 patients, with a 55.4% hospitalization rate and a 13.7% mortality rate. Cardiovascular emergencies were the primary reason for admission (28.9%). Patients from the hospital in the study’s location form Group 1, whereas those from other earthquake-affected provinces constitute Group 2. Significant predisposing factors for ambulance transportation included post-earthquake health facilities (P < 0.001), housing problems (P < 0.001), hygiene (P < 0.001), heating (P = 0.001), and smoke exposure (P < 0.001). In Group 2, pneumonia (P = 0.001), soft tissue infection (P = 0.002), sepsis (P = 0.004), carbon monoxide poisoning (P < 0.001), and diabetic emergencies (P = 0.013) were statistically significantly more frequent.
Conclusions
Analyzing post-earthquake ambulance-transported patients is vital to comprehend the demand for emergency health care and address post-disaster health care challenges.
Dyads can be challenging to recruit for research studies, but detailed reporting on strategies employed to recruit adult–adolescent dyads is rare. We describe experiences recruiting adult–youth dyads for a hypertension education intervention comparing recruitment in an emergency department (ED) setting with a school-based community setting. We found more success in recruiting dyads through a school-based model that started with adolescent youth (19 dyads in 7 weeks with < 1 hour recruitment) compared to an ED-based model that started with adults (2 dyads in 17 weeks with 350 hours of recruitment). These findings can benefit future adult–youth dyad recruitment for research studies.
The recent rise of active shootings calls for adequate preparation. Currently, the “Run, Hide, Fight” concept is widely accepted and adopted by many hospitals nationwide. Unfortunately, the appropriateness of this concept in hospitals is uncertain due to lack of data. To understand the “Run, Hide, Fight” concept application in hospitals, a review of currently available data is needed. A systematic review was done focusing on the “Run, Hide, Fight” concept using multiple databases from the past 12 years. The PRISMA flow diagram was used to systematically select the articles based on specific inclusion and exclusion criteria. The measurements were subjective evaluations and survival probabilities post-concept. One agent-based modeling study suggested a high survival probability in non-medical settings. However, there is a paucity of data supporting its effectiveness and applicability in hospitals. Literature suggests a better suitable concept, the “Secure, Preserve, Fight” concept, as a response protocol to active shootings in hospitals. The effectiveness of the “Run, Hide, Fight” concept in hospitals is questionable. The “Secure, Preserve, Fight” concept was found to be designed more specifically for hospitals and closes the gaps on the flaws in the “Run, Hide, Fight” concept.
The difficulties in accessing Child and Adolescent Mental Health Services (CAMHS) and the lack of out-of-hours and crises services have resulted in Ireland’s national police force, An Garda Síochána (GS), becoming increasingly involved as first responders to children and young people (CYP) who are experiencing potential mental health crises.
Aims:
To outline challenges faced by members of GS and emergency department (ED) professionals in such cases.
Method:
Qualitative study design with semi-structured interviews conducted with a convenience sample of medical and mental health professionals (n = 11) from a paediatric ED who are frequently involved with the interface between GS and CYP experiencing potential mental health crises. Thematic analysis was conducted on transcribed interviews using the software package MaxQDA to systematically organise and code transcriptions.
Results:
Participants highlighted a lack of appropriate clinical settings within the ED for CYP who attend with a mental health crisis through GS. Whilst participants described positive rapport between GS and ED staff, interactions between GS and patients were identified as challenging. Knowledge gaps amongst members of GS in Mental Health Act (MHA) legislation and restraint were also identified as contributory stressors for GS and emergency department professionals.
Conclusion:
The increased prevalence of CYP mental health issues and psychosocial stressors in conjunction with difficulty in accessing CAMHS means that challenges faced by GS as first responders are likely to continue. Research is needed to quantify the adverse personal impacts on GS along with the potential negative impact on youth. Access to emergency mental health review for youth is essential to optimise the experience of both groups.
The consumption of alcohol within the Australian community continues to rise, impacting care delivery in already over-burdened emergency departments (EDs).
Study Objective:
This study aimed to examine the impact of alcohol-related presentations (ARPs) to EDs on days with a public holiday or sporting event.
Methods:
A retrospective cohort study was undertaken using routinely collected health data pertaining to patient presentations diagnosed with an alcohol-related disorder (ICD-10-AM code F10) to two EDs in Queensland, Australia from January 1, 2016 – December 31, 2020. Descriptive and inferential statistics were used to describe and compare ARPs on event days versus non-event days and uncomplicated versus other ARPs on event days only.
Results:
Of all 5,792 ARPs, nine percent (n = 529) occurred on public holidays or sporting event days. When compared by day type, type of presentation, mode of arrival, and day of week differed between event and non-event days. On event days, uncomplicated ARPs differed to other ARPs, with uncomplicated ARPs being younger, having shorter median length-of-stay (LOS), and less likely to be admitted to hospital.
Conclusions:
In this multi-site study, public holidays and sporting events had a noteworthy impact on ARPs to EDs. Focused refinement on the clinical management of uncomplicated ARPs is warranted to inform future resource allocation, including on event days.
Earthquakes rank among the most deadly natural disasters, and children are particularly affected due to their inherent vulnerability. Following an earthquake, there is a substantial increase in visits to emergency services. These visits stem not only from patients seeking care for physical traumas resulting from the earthquake and its subsequent complications, but also from individuals affected by the circumstances created by the disaster.
Study Objective:
This study aims to determine the characteristics and outcomes of children who presented to the pediatric emergency department (PED) after the earthquake and to evaluate children who had crush injuries at a referral tertiary university hospital away from the earthquake area.
Methods:
The medical records of children who presented to the PED from the earthquake area from February 6 through March 7, 2023 were retrospectively reviewed. Children rescued from under rubble were categorized as Group 1, those affected by earthquake conditions as Group 2, and patients seeking medical attention due to the follow-up of chronic illnesses were considered as Group 3. Patient data, including sociodemographic characteristics, time period under rubble (TPR), laboratory findings, and details of medical and surgical procedures, developing acute kidney injury (AKI), and the requirement for hemodialysis were recorded.
Results:
A total of 252 children were enrolled in the study, with 52 (20.6%) in Group 1, 180 (71.4%) in Group 2, and 16 (6.0%) in Group 3. The median age was six (IQR = 1.7-12.1) years. In the first group (n = 52), 46 (85.2%) children experienced crush injuries, 25 children (46.3%) developed crush syndrome, and 14 of them (14/25; 56.0%) required dialysis. In the second group, the most common diagnoses were upper respiratory tract infections (n = 69; 37.9%), acute gastroenteritis (n = 23; 12.6%), simple physical trauma (n = 16; 8.8%), and lower respiratory tract infections (n = 13; 7.1%). For children in the third group, pediatric neurology (n = 5; 33.3%), pediatric oncology (n = 4; 25.0%), and pediatric nephrology (n = 3; 18.8%) were the most frequently referred specialties.
Conclusion:
Crush injuries, crush syndrome, and AKI were the most common problems in the early days following the earthquake. Along with these patients, children who were affected by the environmental conditions caused by the earthquake, as well as children with chronic illnesses, also accounted for a significant portion of visits to the PED, even if they were distant from the disaster area.
This study aimed to investigate the diverse clinical manifestations and simple early biomarkers predicting mortality of COVID-19 patients admitted to the emergency department (ED). A total of 710 patients with COVID-19 were enrolled from 6,896 patients presenting to the ED between January 2022 and March 2022. During the study period, a total of 478 patients tested positive for COVID-19, among whom 222 (46.4%) presented with extrapulmonary manifestations of COVID-19; 49 (10.3%) patients displayed gastrointestinal manifestations, followed by neurological (n = 41; 8.6%) and cardiac manifestations (n = 31; 6.5%). In total, 54 (11.3%) patients died. A Cox proportional hazards model revealed that old age, acute kidney injury at presentation, increased total leukocyte counts, low platelet counts, decreased albumin levels, and increased LDH levels were the independent predictors of mortality. The albumin levels exhibited the highest area under the curve in receiver operating characteristic analysis, with a value of 0.860 (95% confidence interval, 0.796–0.875). The study showed the diverse clinical presentations and simple-to-measure prognostic markers in COVID-19 patients presenting to the ED. Serum albumin levels can serve as a novel and simple early biomarker to identify COVID-19 patients at high risk of death.
This study focuses on adults affected by the February 2023 Turkey earthquakes, aiming to uncover demographic and clinical traits.
Methods:
A retrospective analysis of data from adult patients who sought emergency care between February 6 and February 21, 2023, following the earthquakes, was conducted.
Results:
Among 3072 patients, 1544 (50.3%) of whom were women, trauma (31.1%) was the most prevalent cause of emergency department presentations. The median age of all patients was 44 y (interquartile range [IQR] 31-61 y). Hatay province accounted for 65.2% of trauma patients as origin. Most of the patients (66.8%) presented to the emergency department by their own means, while this was opposite for trauma patients, of whom 54.5% was transferred by means of Ambulance Service. Half of the total trauma patients were rescued from the debris, and 75.9% sustained limb injuries. Crush syndrome affected 24.7%, and emergency hemodialysis was performed on 9.1%, whereas emergency surgery was performed on 22.8% of all trauma cases. Overall, 10.2% of trauma patients lacked any identification. The rate of emergency department admittions due to respiratory and cardiovascular diseases was higher at the time of the earthquake compared with the previous year (P < 0.001).
Conclusions:
The insights gained from this study hold valuable implications for disaster response strategies, emphasizing the importance of preparedness, timely intervention, and comprehensive patient care.
Identifying patients at imminent risk of death is critical in the management of trauma patients. This study measures the vital sign thresholds associated with death among trauma patients.
Methods:
This study included data from patients ≥15 years of age in the American College of Surgeons Trauma Quality Improvement Program (TQIP) database. Patients with vital signs of zero were excluded. Documented prehospital and emergency department (ED) vital signs included systolic pressure, heart rate, respiratory rate, and calculated shock index (SI). The area under the receiver operator curves (AUROC) was used to assess the accuracy of these variables for predicting 24-hour survival. Optimal thresholds to predict mortality were identified using Youden’s Index, 90% specificity, and 90% sensitivity. Additional analyses examined patients 70+ years of age.
Results:
There were 1,439,221 subjects in the 2019-2020 datasets that met inclusion for this analysis with <0.1% (10,270) who died within 24 hours. The optimal threshold for prehospital systolic pressure was 110, pulse rate was 110, SI was 0.9, and respiratory rate was 15. The optimal threshold for the ED systolic was 112, pulse rate was 107, SI was 0.9, and respiratory rate was 21. Among the elderly sub-analysis, the optimal threshold for prehospital systolic was 116, pulse rate was 100, SI was 0.8, and respiratory rate was 21. The optimal threshold for ED systolic was 121, pulse rate was 95, SI was 0.8, and respiratory rate was 21.
Conclusions:
Systolic blood pressure (SBP) and SI offered the best predictor of mortality among trauma patients. The SBP values predictive of mortality were significantly higher than the traditional 90mmHg threshold. This dataset highlights the need for better methods to guide resuscitation as initial vital signs have limited accuracy in predicting subsequent mortality.
Incarceration is a significant social determinant of health, contributing to high morbidity, mortality, and racialized health inequities. However, incarceration status is largely invisible to health services research due to inadequate clinical electronic health record (EHR) capture. This study aims to develop, train, and validate natural language processing (NLP) techniques to more effectively identify incarceration status in the EHR.
Methods:
The study population consisted of adult patients (≥ 18 y.o.) who presented to the emergency department between June 2013 and August 2021. The EHR database was filtered for notes for specific incarceration-related terms, and then a random selection of 1,000 notes was annotated for incarceration and further stratified into specific statuses of prior history, recent, and current incarceration. For NLP model development, 80% of the notes were used to train the Longformer-based and RoBERTa algorithms. The remaining 20% of the notes underwent analysis with GPT-4.
Results:
There were 849 unique patients across 989 visits in the 1000 annotated notes. Manual annotation revealed that 559 of 1000 notes (55.9%) contained evidence of incarceration history. ICD-10 code (sensitivity: 4.8%, specificity: 99.1%, F1-score: 0.09) demonstrated inferior performance to RoBERTa NLP (sensitivity: 78.6%, specificity: 73.3%, F1-score: 0.79), Longformer NLP (sensitivity: 94.6%, specificity: 87.5%, F1-score: 0.93), and GPT-4 (sensitivity: 100%, specificity: 61.1%, F1-score: 0.86).
Conclusions:
Our advanced NLP models demonstrate a high degree of accuracy in identifying incarceration status from clinical notes. Further research is needed to explore their scaled implementation in population health initiatives and assess their potential to mitigate health disparities through tailored system interventions.
Lactate is a frequently used biomarker in emergency departments (EDs), especially in critically ill patients. The aim of this study is to investigate the relationship between lactate and lactate clearance with in-hospital mortality in unselected ED patients.
Methods:
This study was carried out retrospectively in the ED of a tertiary hospital. Patients aged 18 years and older whose blood lactate level was obtained in the ED were included in the study. Patients whose lactate value did not have sufficient analytical accuracy, whose lactate value was recorded in the system 180 minutes after admission, who were admitted to the ED as cardiac arrest, and whose ED or hospital outcome was unknown were excluded from the study. According to the first measured lactate value, the patients were divided into three groups: < 2.0mmol/L, 2.0-3.9mmol/L, and ≥ 4.0mmol/L. Lactate clearance was calculated and recorded in patients with one-to-four hours between two lactate values.
Results:
During the five-year study period, a total of 1,070,406 patients were admitted to the ED, of which 114,438 (10.7%) received blood gas analysis. The median age of 81,449 patients included in the study was 58 years (IQR: 30, min: 18–max: 117) and 54.4% were female. The study found that non-trauma patients with a lactate level between 2.0-3.9mmol/L had a 2.5-times higher mortality risk, while those with a lactate level of ≥ 4.0mmol/L had a 20.8-times higher risk, compared to those with a lactate level < 2.0mmol/L. For trauma patients, the mortality risk was three-times higher for those with lactate levels between 2.0-3.9mmol/L and nine-times higher for those with a lactate level of ≥ 4.0mmol/L, compared to those with a lactate level < 2.0mmol/L. Among patients with a first measured lactate value ≥ 4.0mmol/L and a two-hour lactate clearance < 20%, the mortality rate was 19.7%. In addition, lactate, lactate clearance, and age were independent variables for mortality in this patient group.
Conclusion:
The lactate value in unselected patients in the ED is a biomarker that can be used to predict the prognosis of the patients. In addition, lactate, lactate clearance, and age are independent predictors of mortality.
Medical professionals can use mass-casualty triage systems to assist them in prioritizing patients from mass-casualty incidents (MCIs). Correct triaging of victims will increase their chances of survival. Determining the triage system that has the best performance has proven to be a difficult question to answer. The Advanced Prehospital Triage Model (Modelo Extrahospitalario de Triaje Avanzado; META) and Sort, Assess, Lifesaving Interventions, Treatment/Transport (SALT) algorithms are the most recent triage techniques to be published. The present study aimed to evaluate the META and SALT algorithms’ performance and statistical agreement with various standards. The secondary objective was to determine whether these two MCI triage systems predicted patient outcomes, such as mortality, length-of-stay, and intensive care unit (ICU) admission.
Methods:
This retrospective study used patient data from the trauma registry of an American College of Surgeons Level 1 trauma center, from January 1, 2018 through December 31, 2020. The sensitivity, specificity, and statistical agreement of the META and SALT triage systems to various standards (Revised Trauma Score [RTS]/Sort Triage, Injury Severity Score [ISS], and Lerner criteria) when applied using trauma patients. Statistical analysis was used to assess the relationship between each triage category and the secondary outcomes.
Results:
A total of 3,097 cases were included in the study. Using Sort triage as the standard, SALT and META showed much higher sensitivity and specificity in the Immediate category than for Delayed (Immediate sensitivity META 91.5%, SALT 94.9%; specificity 60.8%, 72.7% versus Delayed sensitivity 28.9%, 1.3%; specificity 42.4%, 28.9%). With the Lerner criteria, in the Immediate category, META had higher sensitivity (77.1%, SALT 68.6%) but lower specificity (61.1%) than SALT (71.8%). For the Delayed category, SALT showed higher sensitivity (META 61.4%, SALT 72.2%), but lower specificity (META 75.1%, SALT 67.2%). Both systems showed a positive, though modest, correlation with ISS. For SALT and META, triaged Immediate patients tended to have higher mortality and longer ICU and hospital lengths-of-stay.
Conclusion:
Both META and SALT triage appear to be more accurate with Immediate category patients, as opposed to Delayed category patients. With both systems, patients triaged as Immediate have higher mortality and longer lengths-of-stay when compared to Delayed patients. Further research can help refine MCI triage systems and improve accuracy.
This case series aims to provide a comprehensive description of the utilization of doppler ultrasonography (USG) and computerized tomography angiography (CTA) in evaluating patients with earthquake-induced crush injuries in the emergency department (ED).
Methods:
This retrospective case series was conducted on 11 patients who presented with crush injuries following a seismic event. These patients underwent initial assessment using doppler USG, with CTA performed when deemed necessary. Clinical outcomes and diagnostic findings were systematically reviewed.
Results:
A cohort of 11 earthquake-related crush injury patients (six females, five males; age 3-59 years), predominantly with lower extremity injuries, with entrapped durations that ranged from 12 to 128 hours. Transport centers received patients from both affected regions and nearby provinces. Initial X-rays identified fractures in two cases. Doppler USG and subsequent CTA were employed for vascular evaluation, with CTA confirming doppler USG findings. Of the 11 patients, five exhibited abnormal doppler USG findings. Four patients required dialysis and four underwent amputation surgery. Fasciotomy and debridement procedures were performed in five and seven patients, respectively. Three patients received hyperbaric oxygen therapy (HBOT).
Conclusion:
Doppler USG emerged as a dependable tool for assessing vascular injuries in earthquake-related crush injuries, offering an effective alternative to CTA without the associated contrast agent risks. These findings underscore the need for further research to establish definitive imaging guidelines in these challenging clinical scenarios.
A significant number of disaster and emergency victims are children. Yet, many hospitals are ill-prepared to care for these patients during disasters, as identified by the National Pediatric Readiness Project’s survey of hospital pediatric disaster plans. The Region V for Kids Center of Excellence created a self-assessment tool to help regions identify vulnerabilities and ways to enhance care for vulnerable children and families.
Methods:
Region V for Kids identified 9 key domains (eg, infrastructures and support mechanisms) that are important to safeguard children’s and families’ care during disasters. A self-assessment tool to assess these domains was distributed to 24 regional health care coalitions along with a 9-question usefulness survey. The self-assessment tool addressed 3 of the original domains, which have regional or national open-source databases and datapoints that health care coalitions can access for their responses.
Results:
The survey received a 50% response rate. Approximately 40% of respondents indicated they were “somewhat likely” to make changes based on data gathered by the tool. The original self-assessment tool was revised to create an expanded web-based version.
Conclusions:
Health care coalitions and localities can use this tool to evaluate pediatric preparedness, identify needed improvements, and improve outcomes for children, families, and communities.