Prehospital and Disaster Medicine最新文献

{"title":"The Ethical Principles in Ethical Guidance Documents during the COVID-19 Pandemic in the United Kingdom and the Republic of Ireland: A Qualitative Review - CORRIGENDUM.","authors":"Kesidha Raajakesary, Lucy Galvin, Kate Prendiville, Sarah Newport, Calum MacAnulty, Ghaiath Hussein","doi":"10.1017/S1049023X24000694","DOIUrl":"10.1017/S1049023X24000694","url":null,"abstract":"","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":" ","pages":"391"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802205/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142896913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy and Safety of Prehospital Blood Transfusion in Traumatized Patients: A Systematic Review and Meta-Analysis.","authors":"Abdelelah Abdelgadir Hamed, Sharfeldin Mohammed Shuib, Amal Mohamed Elhusein, Hammad Ali Fadlalmola, Omnia Abdalla Higazy, Insaf Hassan Mohammed, Bahja Siddig Mohamed, Mohammed Abdelmalik, Khaled Mohammed Al-Sayaghi, Abdalrahman Abdullatif Mohmmed Saeed, Samya Mohamed Hegazy, Saud Albalawi, Abdullah Alrashidi, Mohamed Abdallah","doi":"10.1017/S1049023X24000621","DOIUrl":"10.1017/S1049023X24000621","url":null,"abstract":"<p><strong>Background: </strong>Approximately five million individuals have traumatic injuries annually. Implementing prehospital blood-component transfusion (PHBT), encompassing packed red blood cells (p-RBCs), plasma, or platelets, facilitates early hemostatic volume replacement following trauma. The lack of uniform PHBT guidelines persists, relying on diverse parameters and physician experience.</p><p><strong>Aim: </strong>This study aims to evaluate the efficacy of various components of PHBT, including p-RBCs and plasma, on mortality and hematologic-related outcomes in traumatic patients.</p><p><strong>Methods: </strong>A comprehensive search strategy was executed to identify pertinent literature comparing the transfusion of p-RBCs, plasma, or a combination of both with standard resuscitation care in traumatized patients. Eligible studies underwent independent screening, and pertinent data were systematically extracted. The analysis employed pooled risk ratios (RR) for dichotomous outcomes and mean differences (MD) for continuous variables, each accompanied by their respective 95% confidence intervals (CI).</p><p><strong>Results: </strong>Forty studies were included in the qualitative analysis, while 26 of them were included in the quantitative analysis. Solely P-RBCs alone or combined with plasma showed no substantial effect on 24-hour or long-term mortality (RR = 1.13; 95% CI, 0.68 - 1.88; P = .63). Conversely, plasma transfusion alone exhibited a 28% reduction in 24-hour mortality with a RR of 0.72 (95% CI, 0.53 - 0.99; P = .04). In-hospital mortality and length of hospital stay were mostly unaffected by p-RBCs or p-RBCs plus plasma, except for a notable three-day reduction in length of hospital stay with p-RBCs alone (MD = -3.00; 95% CI, -5.01 to -0.99; P = .003). Hematological parameter analysis revealed nuanced effects, including a four-unit increase in RBC requirements with p-RBCs (MD = 3.95; 95% CI, 0.69 - 7.21; P = .02) and a substantial reduction in plasma requirements with plasma transfusion (MD = -0.73; 95% CI, -1.28 to -0.17; P = .01).</p><p><strong>Conclusion: </strong>This study revealed that plasma transfusion alone was associated with a substantial decrease in 24-hour mortality. Meanwhile, p-RBCs alone or combined with plasma did not significantly impact 24-hour or long-term mortality. In-hospital mortality and length of hospital stay were generally unaffected by p-RBCs or p-RBCs plus plasma, except for a substantial reduction in length of hospital stay with p-RBCs alone.</p>","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":" ","pages":"324-334"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142829607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge, Attitude, and Practice of Providing First Aid by Commercial Motorcyclists: A Cross-Sectional Study.","authors":"Christine Ufashingabire Minani, Kim Lam Soh, Rosliza Abdul Manaf, Kulanthayan Kc Mani, Theogene Twagirumugabe","doi":"10.1017/S1049023X24000451","DOIUrl":"10.1017/S1049023X24000451","url":null,"abstract":"<p><strong>Introduction: </strong>The mortality and morbidity due to road traffic crashes (RTCs) are increasing drastically world-wide. Poor prehospital care management contributes to dismal patient outcomes, especially in low- and middle-income countries (LMICs). This study aimed to assess the knowledge, attitude, and self-reported practice (KAP) of providing first aid for RTC victims by commercial motorcyclists. In addition, it determined the relationship between sociodemographic characteristics and the level of KAP, then the predicting factors of outcome variables.</p><p><strong>Methods: </strong>A cross-sectional study of 200 randomly selected commercial motorcyclists was conducted in May 2021. A chi-square test and multivariate analysis were used to analyze data.</p><p><strong>Results: </strong>The findings showed that most participants had a poor knowledge level (87.5 %), positive attitudes (74.5%), and poor self-reported practice (51.5%). Previous first-aid training and knowing an emergency call number for the police were predictors of good knowledge (AOR = 3.7064; 95% CI, 1.379-9.956 and AOR = 6.132; 95% CI,1.735-21.669, respectively). Previous first-aid training was also a predictor of positive attitudes (AOR = 3.087; 95% CI, 1.033-9.225). Moreover, the likelihood of having an excellent self-reported practice was less among participants under 40 years of age (AOR = 0.404; 95% CI, 0.182-0.897) and those who cared for up to five victims (AOR = 0.523; 95% CI, 0.282-0.969). Contrary, previous first-aid training (AOR = 2.410; 95% CI, 1.056-5.499) and educational level from high school and above increased the odds of having good self-reported practice (AOR = 2.533; 95% CI, 1.260-5.092).</p><p><strong>Conclusion: </strong>Considering the study findings, training should be provided to improve the knowledge and skills of commercial motorcyclists since they are among the primary road users in Rwanda and involved in RTCs.</p>","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":" ","pages":"344-353"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142896911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review.","authors":"Ahmad Alrawashdeh, Saeed Alqahtani, Zaid I Alkhatib, Khalid Kheirallah, Nebras Y Melhem, Mahmoud Alwidyan, Arwa M Al-Dekah, Talal Alshammari, Ziad Nehme","doi":"10.1017/S1049023X24000414","DOIUrl":"10.1017/S1049023X24000414","url":null,"abstract":"<p><strong>Objective: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":" ","pages":"368-378"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11810483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140958995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prehospital Care Under Fire: Strategies for Evacuating Victims from the Mega Terrorist Attack in Israel on October 7, 2023","authors":"Eli Jaffe, Ziv Dadon, Evan Avraham Alpert","doi":"10.1017/s1049023x24000438","DOIUrl":"https://doi.org/10.1017/s1049023x24000438","url":null,"abstract":"On October 7, 2023, somewhere around 1,500-3,000 terrorists invaded southern Israel killing 1,200 people, injuring 1,455, and taking 239 as hostages resulting in the largest mass-casualty event (MCE) in the country’s history. Most of the victims were civilians who suffered from complex injuries including high-velocity gunshot wounds, blast injuries from rocket-propelled grenades, and burns. Many would later require complex surgeries by all disciplines including general surgeons, vascular surgeons, orthopedists, neurosurgeons, cardiothoracic surgeons, otolaryngologists, oral maxillofacial surgeons, and plastic surgeons. Magen David Adom (MDA) is Israel’s National Emergency Prehospital Medical Organization and a member of the International Red Cross. While there are also private and non-profit ambulance services in Israel, the Ministry of Health has mandated MDA with the charge of managing an MCE. For this event, MDA incorporated a five-part strategy in this mega MCE: (1) extricating victims from areas under fire by bulletproof ambulances, (2) establishing casualty treatment stations in safe areas, (3) ambulance transport from the casualty treatment stations to hospitals, (4) ambulance transport of casualties from safe areas to hospitals, and (5) helicopter transport of victims to hospitals. This is the first time that MDA has responded to a mega MCE of this magnitude and lessons are continually being learned.","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":"14 1","pages":""},"PeriodicalIF":2.2,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142250771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why is Qualitative Research Necessary in Medicine and Some Prejudices Against It?","authors":"Figen Ünal Çolak, Sarper Yılmaz","doi":"10.1017/S1049023X24000591","DOIUrl":"10.1017/S1049023X24000591","url":null,"abstract":"","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":" ","pages":"318-319"},"PeriodicalIF":2.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Common Challenges in the Prehospital Management of Mass-Casualty Incidents: A Systematic Integrative Review.","authors":"Karin Hugelius, Julia Becker","doi":"10.1017/S1049023X24000566","DOIUrl":"10.1017/S1049023X24000566","url":null,"abstract":"<p><strong>Introduction: </strong>Mass-casualty incidents (MCIs) place extraordinary demands on prehospital medical response. However, there remains limited evidence on best practices in managing MCIs, and therefore, there is a need to systematically synthetize experiences from them to build further evidence.</p><p><strong>Study objective: </strong>This study aimed to analyze common challenges in prehospital MCI management.</p><p><strong>Methods: </strong>Seventeen case studies or reports describing 15 MCIs (ie, terrorist attacks, chemical incidents, traffic accidents, weather-related incidents, and fires) were subject to a systematic integrative review.</p><p><strong>Results: </strong>Common challenges in prehospital MCI management include victim and responder safety- and security-related issues; the need to develop and communicate situational awareness; to develop and apply a prehospital response plan; the ability to deliver care under severe circumstances; and the need for an extended prehospital medical response management strategy.</p><p><strong>Conclusion: </strong>Resilient prehospital MCI response demands both a clear strategy and improvisation and should be integrated into the overall medical response strategy. Responders must understand the main concepts of prehospital MCI management, have a situational awareness that foresees the event's medical consequences, and have the experience required to interpret the situation. Emergency Medical Services (EMS) personnel and medical incident commanders require specific training and mental preparation to be able to provide care under severe security threats, to improvise beyond routines and guidelines, and to provide care in ways different from their everyday work.</p>","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":" ","pages":"301-309"},"PeriodicalIF":2.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in Crime Rates Against Women and Children Post-Disasters.","authors":"Ateev Sudhir Chandna, Sona Francis, Sanjeev Kumar Manikappa, Jayakumar Christy, Subhasis Bhadra, Vivek Benegal, Dinakaran Damodharan","doi":"10.1017/S1049023X24000505","DOIUrl":"10.1017/S1049023X24000505","url":null,"abstract":"","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":"39 4","pages":"310-312"},"PeriodicalIF":2.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harmonizing Indigenous Insights: Early Childhood Disaster Preparedness Curriculum in Indonesia.","authors":"Sean Marta Efastri, Ribut Wahyu Eriyanti, Diah Karmiyati, Marwa Marwa","doi":"10.1017/S1049023X24000578","DOIUrl":"10.1017/S1049023X24000578","url":null,"abstract":"","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":"39 4","pages":"313-314"},"PeriodicalIF":2.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Crisis: The Ukraine War's Multifaceted Impact on Poland's Health Care Resilience.","authors":"Krzysztof Goniewicz, Katarzyna Naylor","doi":"10.1017/S1049023X2400058X","DOIUrl":"10.1017/S1049023X2400058X","url":null,"abstract":"","PeriodicalId":20400,"journal":{"name":"Prehospital and Disaster Medicine","volume":"39 4","pages":"315-317"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}