The latest medical research on Disaster Medicine

The research magnet gathers the latest research from around the web, based on your specialty area. Below you will find a sample of some of the most recent articles from reputable medical journals about disaster medicine gathered by our medical AI research bot.

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Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review.

Prehosp Disaster Med

The aim of this study was to summarize the literature on the applications of machine learning (ML) and their performance in Emergency Medical Services (EMS).

Four relevant electronic databases were searched (from inception through January 2024) for all original studies that employed EMS-guided ML algorithms to enhance the clinical and operational performance of EMS. Two reviewers screened the retrieved studies and extracted relevant data from the included studies. The characteristics of included studies, employed ML algorithms, and their performance were quantitively described across primary domains and subdomains.

This review included a total of 164 studies published from 2005 through 2024. Of those, 125 were clinical domain focused and 39 were operational. The characteristics of ML algorithms such as sample size, number and type of input features, and performance varied between and within domains and subdomains of applications. Clinical applications of ML algorithms involved triage or diagnosis classification (n = 62), treatment prediction (n = 12), or clinical outcome prediction (n = 50), mainly for out-of-hospital cardiac arrest/OHCA (n = 62), cardiovascular diseases/CVDs (n = 19), and trauma (n = 24). The performance of these ML algorithms varied, with a median area under the receiver operating characteristic curve (AUC) of 85.6%, accuracy of 88.1%, sensitivity of 86.05%, and specificity of 86.5%. Within the operational studies, the operational task of most ML algorithms was ambulance allocation (n = 21), followed by ambulance detection (n = 5), ambulance deployment (n = 5), route optimization (n = 5), and quality assurance (n = 3). The performance of all operational ML algorithms varied and had a median AUC of 96.1%, accuracy of 90.0%, sensitivity of 94.4%, and specificity of 87.7%. Generally, neural network and ensemble algorithms, to some degree, out-performed other ML algorithms.

Triaging and managing different prehospital medical conditions and augmenting ambulance performance can be improved by ML algorithms. Future reports should focus on a specific clinical condition or operational task to improve the precision of the performance metrics of ML models.

Integrating Disaster and Dignitary Medicine Principles into a Medical Framework for Organizational Travel Health and Security Planning.

Prehosp Disaster Med

This Editorial explores organizational travel risk management and advocates for a comprehensive approach to fortify health security for travelers, ...

Rapid Ultrasonography for Shock and Hypotension Protocol Performed using Handheld Ultrasound Devices by Paramedics in a Moving Ambulance: Evaluation of Image Accuracy and Time in Motion.

Prehosp Disaster Med

Handheld ultrasound (US) devices have become increasingly popular since the early 2000s due to their portability and affordability compared to conventional devices. The Rapid Ultrasonography for Shock and Hypotension (RUSH) protocol, introduced in 2009, has shown promising accuracy rates when performed with handheld devices. However, there are limited data on the accuracy of such examinations performed in a moving ambulance. This study aimed to assess the feasibility and accuracy of the RUSH protocol performed by paramedics using handheld US devices in a moving ambulance.

The study aimed to examine the performability of the RUSH protocol with handheld US devices in a moving ambulance and to evaluate the accuracy of diagnostic views obtained within an appropriate time frame.

A prospective study was conducted with paramedics who underwent theoretical and practical training in the RUSH protocol. The participants performed the protocol using a handheld US device in both stationary and moving ambulances. Various cardiac and abdominal views were obtained and evaluated for accuracy. The duration of the protocol performance was recorded for each participant.

Nine paramedics completed the study, with 18 performances each in both stationary and moving ambulance groups. The accuracy of diagnostic views obtained during the RUSH protocol did not significantly differ between the stationary and moving groups. However, the duration of protocol performance was significantly shorter in the moving group compared to the stationary group.

Paramedics demonstrated the ability to perform the RUSH protocol effectively using handheld US devices in both stationary and moving ambulances following standard theoretical and practical training. The findings suggest that ambulance movement does not significantly affect the accuracy of diagnostic views obtained during the protocol. Further studies with larger sample sizes are warranted to validate these findings and explore the potential benefits of prehospital US in dynamic environments.

Perceptions of Healthcare Workers on the Attributes of the Integrated Disease Surveillance and Response System in Zimbabwe.

Disaster Prevention & Management

To investigate healthcare workers' perceptions of the integrated disease surveillance and response (IDSR) strategy.

A cross-sectional survey of healthcare workers (HCWs) was conducted from December 2021 to June 2022 to assess their perceptions of the IDSR system attributes.

Of the 409 respondents, 12 (2.9%) reported no prior training on disease surveillance. The IDSR was deemed simple, acceptable, useful, and timely by most participants. There were sharp differences in perceptions of flexibility and simplicity between doctors and the other healthcare professionals. However, acceptability, timeliness, and usefulness were uniformly perceived. Healthcare workers with at least 11-years' experience perceived the usefulness of the IDSR system significantly higher than those with lesser years of experience. However, work experience did not have an impact on HCWs perceptions of the simplicity, timeliness, and flexibility of the IDSR system.

Most healthcare workers have positive perceptions of the IDSR approach. However, there are reservations about how well the system can adapt to changing conditions and demands (flexibility) and how well it simplifies the implementation processes. These findings demonstrate the necessity of adopting cutting-edge strategies for capacity building as well as ongoing professional development of healthcare professionals responsible for the implementation of the IDSR strategy.

Unique Challenges for WHO Emergency Medical Teams in Ukraine: Field Assessment & Global Recommendations.

Disaster Prevention & Management

The purpose of WHO Emergency Medical Teams is to Minor wording edit recommendations: 'to provide timely, high-quality health services.' (removed 'o...

Inappropriate Acetazolamide Use for a Hiker Who Developed Acute Kidney Injury.

Wilderness and Environmental Medicine

Prophylactic use of acetazolamide (ACZ) to prevent acute mountain sickness (AMS) is a common practice among high altitude travelers and mountaineer...

Mortality Associated with Priority Diseases in Flood-Affected Areas Using District Health Information System (DHIS2) During September-December 2022: Pakistan Experience.

Disaster Prevention & Management

To quantify the burden of communicable diseases and characterize the most reported infections during public health emergency of floods in Pakistan.

The study's design is a descriptive trend analysis. The study utilized the disease data reported to District Health Information System (DHIS2) for the 12 most frequently reported priority diseases under the Integrated Disease Surveillance and Response (IDSR) system in Pakistan.

In total, there were 1,532,963 suspected cases during August to December 2022 in flood-affected districts (n = 75) across Pakistan; Sindh Province reported the highest number of cases (n = 692,673) from 23 districts, followed by Khyber Pakhtunkhwa (KP) (n = 568,682) from 17 districts, Balochistan (n = 167,215) from 32 districts, and Punjab (n = 104,393) from 3 districts. High positivity was reported for malaria (79,622/201,901; 39.4%), followed by acute diarrhea (non-cholera) (23/62; 37.1%), hepatitis A and E (47/252; 18.7%), and dengue (603/3245; 18.6%). The crude mortality rate was 11.9 per 10 000 population (1824/1,532,963 [deaths/cases]).

The study identified acute respiratory infection, acute diarrhea, malaria, and skin diseases as the most prevalent diseases. This suggests that preparedness efforts and interventions targeting these diseases should be prioritized in future flood response plans. The study highlights the importance of strengthening the IDSR as a Disease Early Warning System through the implementation of the DHIS2.

Wilderness Medical Society Clinical Practice Guidelines for Medical Direction of Search and Rescue Teams.

Wilderness and Environmental Medicine

The Wilderness Medical Society convened a panel to review available evidence supporting practices for medical direction of search and rescue teams....

Oxidative Stress: An Intersection Between Radiation and Sulfur Mustard Lung Injury.

Disaster Prevention & Management

Nuclear and chemical weapons of mass destruction share both a tragic and beneficial legacy in mankind's history and health. The horrific health eff...

Predictors of emergency preparedness among parents in Hawaii: A cross-sectional survey.

Disaster Medicine and Public Health

To determine factors predicting emergency preparedness (EP) behaviors among Hawaii parents.

A cross-sectional online survey of parents of children (age 0-12 years) living in Honolulu, Hawaii in March 2023 examined associations with 1) having an EP kit (supplies for use during emergencies) and 2) having a family emergency plan (what to do, where to go, how to communicate during emergencies) with demographics/household characteristics and theoretical constructs of the Health Belief Model. A multivariable regression model obtained odds ratios and 95% confidence intervals.

Participants (N=278) were mainly female (84%), college-educated (68%), and were similar in diverse racial/ethnic composure (White, 13.3%) to the overall Honolulu County. Logistic regression determined participants with lower perceived susceptibility to disasters, greater time barriers, and those who needed help to prepare for emergencies were less likely to have an EP kit. Among participants without an EP kit, a website able to create personalized instructions for household EP would be useful. Participants who needed help to prepare for emergencies were less likely to have a family emergency plan.

Future interventions should focus on evidence-based strategies that improve self-efficacy associated with developing EP kits and family emergency plans.

Screening and Analysis of SARS-CoV-2 Antibody Among Unvaccinated Blood Donors in Chongqing, China.

Disaster Medicine and Public Health

To investigate the rate of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody among unvaccinated voluntary blood donors in Chongqing, and to provide evidence for epidemic surveillance.

A total of 10,208 voluntary blood donors from January 5 to January 20, 2021, in the Chongqing area were collected, and the SARS-CoV-2 immunoglobulin (Ig) G and IgM antibodies were detected by chemiluminescence, and the differences of antibody-positive rate in different gender, age, ABO blood group, and different risk areas were analyzed.

Among 10208 blood donors, 10 were found to be positive for SARS-COV-2 IgG antibody, giving a positivity rate of SARS-COV-2 IgG at 0.10%, and 29 were positive for SARS-CoV-2 IgM antibody, with a positivity rate of SARS-CoV-2 IgM at 0.28%. There was no statistical difference in the positive rate of antibody among different genders, ages, and ABO blood types, but it was related to the number of confirmed coronavirus disease 2019 (COVID-19) cases in each city.

The SARS-CoV-2 seroprevalence rate in Chongqing was low and correlated with the number of confirmed COVID-19 cases.

Improve disaster response by planning for and logistically supporting acute exacerbations of chronic diseases.

Am J Dis Med

Provide a more effective medical response by emphasizing the management of acute exacerbations of chronic diseases in disasters. Disaster victims n...