Last updated 10th July 2024: Online ordering is currently unavailable due to technical issues. We apologise for any delays responding to customers while we resolve this. For further updates please visit our website https://www.cambridge.org/news-and-insights/technical-incident
We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
This journal utilises an Online Peer Review Service (OPRS) for submissions. By clicking "Continue" you will be taken to our partner site
https://mc.manuscriptcentral.com/pdm.
Please be aware that your Cambridge account is not valid for this OPRS and registration is required. We strongly advise you to read all "Author instructions" in the "Journal information" area prior to submitting.
To save this undefined to your undefined account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your undefined account.
Find out more about saving content to .
To save this article to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Emergency medical vehicle collisions (EMVCs) occurring during initia response and with patient transport have been a long-standing problem for emergency medical services (EMS) systems. Experience suggests “wake-effect” collision occur as a result of an EMS vehicle's transit, but do not involve the emergency medical vehicle (EMV). Substantiating the existence and magnitude of wake-effect collisions may have major implications regarding the manner of EMV response.
Hypothesis:
Paramedics will report that wake-effect collisions do occur and that the occur more frequently than do EMVCs.
Methods:
Design: Survey analysis. Participants: Thirty paramedics employed by the Salt Lake City (Utah) Fire Department and 45 paramedics employed by Salt Lake County Fire Department. Geographic Area: Service area has population of 650,000 and is urban, suburban, and rural. Measurements: The survey consisted of three openended questions concerning years on the job, EMVCs, and wake-effect collisions. Analysis: The mean value for the number of EMVCs and wake-effect EMVCs, along with the 0.95 confidence intervals (0.95 CI) were determined.
Results:
Seventy-three surveys were analyzed. Sixty EMVCs and 255 wake-effect collisions were reported. Overall, the mea value for the number EMVCs per respondent was 0.82 (0.60–1.05) and for wake-effect collisions 3.49 (2.42–4.55). The mean values for EMVC's for each service were 0.86 (0.50–1.38); 0.80 (0.50–11.0). For wake-effect collisions the mean values were 4.59 (2.83–6.35); and 2.76 (1.46–4.06) respectively.
Conclusion:
This study suggests that the wake-effect collision is real and may occur with greater frequency than do EMVCs. Significant limitations of this study are recall bias and misclassiftcation bias. Future studies are needed to define more precisely wake-effect collision prevalence and the resulting “cost” in regards to injury and vehicle/property damage.
Patients refusing hospital transportation occurs in 5% to 25% of out-of-hospital calls. Little is known about these calls. This study was needed to determine the demographics, inherent risks, and timing of refused calls.
Methods:
This was a prospective review of all run sheets of patients who refused transportation were collected for a two month period. Demographic data and medical information was collected. Each run was placed into one of three categories of need for transport and further evaluation: 1) minimal; 2) moderate; and 3) definite. The Greater Elgin Area Mobile Intensive Care Program (GEA-MICP) based at Sherman Hospital in Elgin, Illinois, was the setting. The GEA-MICP is an Emergency Medical Services (EMS) system comprised of 17 advanced life support (ALS) ambulance agencies servicing northeastern Illinois. Study subjects were all patients who refused transportation to a hospital by ALS ambulance during July 1993 and February 1994. Paramedics were required to complete a run sheet for all calls.
Results:
Overall, 30% (683 of2,270) of all runs resulted in refusal of transportation. Patients who most commonly refused transportation were asymptomatic, 11–40 years old and involved in a motor vehicle crash. They usually had no past medical history, normal vital signs, and a normal mental status. Patients generally signed for their own release after evaluation. The average time to arrival was 4.2 minutes and average time spent on scene by paramedics was 18.4 minutes. Of the patients, 72% were judged to have minimal need, 25% were felt to have a moderate need, and 3% were felt to definitely need transport to a hospital for further evaluation and/or treatment.
Conclusion:
There are many cases when EMS are activated, but transportation is refused. Most refusals occur after paramedic evaluation. Providing paramedics with primary care training and protocols would standardize care given to patients and provide a mechanism for discharge instructions and follow-up for those who chose not to be transported to a hospital. Patients judged to require further treatment had unique characteristics. These data may be useful in identifying potentially sicker patients allowing a concentrated effort to transport this subset of patients to a hospital.
The raw number of hospital trauma beds and occupancy has been used assess the surgical capability of hospitals in wartime and disaster situations. The goal of this study was to examine and offer a better tool to determine the load of casualties that a hospital would be able to absorb and treat effectively during these situations.
Methods:
Simulation software was applied to various wartime scenarios. It assessed the usefulness of a computerized simulation of operating room (OR) function under loading of “standard wartime casualties.” Comparison of the functioning of similar hospitals was undertaken in order to identify possible methods to optimize the care delivered. A “what-if” module was used to define the optimal way to absorb mass casualties within the known resources of a given healthcare system. Each hospital was tested under different loading of “standard casualties.” Average waiting time for surgery was used as a marker of the constant decay in the standards of care with the increasing patient load.
Results:
Different, unique patterns of strategies for optimizing waiting periods were identified. Not all trauma centers responded by shortening waiting time by diverting the lightly injured patients from them either before or after triage. The reaction to alternate days' shift was unexpected The temporal course of matching a patient with a functional operating room was more indicative of a hospital's capability to absorb casualties requiring surgery than was the pre-set number of beds available in the hospital.
Recommendations:
The use of simulation techniques might be useful method to asses the nationwide surgical capability. This is a complex dilemma that cannot be predicted with trivial guessing, even when combined with previous experience of triaging. Analyzing the weak points and bottlenecks at a national level might help in creating preparedness protocols.
This study examines those factors predictive of self-perceived first-aid abilities among a community-based sample after the 1994 Northridge earthquake.
Methods:
A probabilities-proportionate to-size (pps) sample of residents of Los Angeles County and 11 pre-selected zip codes from southeastern Ventura County was selected using computer-generated random digit-dialing (rdd) procedures 7–11 months after the earthquake. Data were collected from 506 individuals in 45 minute interviews. A unidimensional scale of self-perceived first-aid ability was created and represents the dependent variable in a causal path model.
Results:
In a causal path model, standardized path coefficients suggested that while reports of taking first-aid courses were the most influential factors in predicting higher self-perceived first-aid abilities, other factors including being white, younger, speaking English in the home, and lower income also predicted higher self-perceived first-aid abilities that were independent from taking formal first-aid courses.
Conclusion:
First-aid training should be directed towards target segments of the population that are not likely to have had instruction in these basic skills. Those individuals who self-report high first-aid proficiency, independent of formal first-aid training, should be evaluated to assess their abilities to perform these skills.
In the attempts of the editorial staff to improve the readability of these two abstracts, we apparently lost the essence of what the authors intended. Therefore, these two abstracts are printed here in their original form and should replace those that appeared in the abstracts supplement of Volume 12, Number 3 for the 10th World Congress on Emergency and Disaster Medicine. We apologize for any inconvenience associated with the edited versions.
The purpose of this study was to critically review the provision of medical care at mass gatherings as described in 25 years of case reports. Specifically measured was the relationship between the size of a mass gathering and the frequency of patients seeking medical aid and the effects of certain event characteristics on this relationship.
Methods:
Data were obtained through a retrospective literature review. Medline and CINHAL computerized databases were searched for English language articles using several keywords: “mass gathering”, “concert”, “festival”, “Olympics”, “crowd”, “riot”, “stadium”, “sports”, “games”, “papal”, and “football”. Only articles containing complete information on the number of spectators, number of patients, type, location, and duration of the mass gathering were included in the primary analysis. As available, additional information was added including the described weather patterns, number of patients transported to a hospital, and number of patients suffering a cardiac arrest. Thirty-five of the approximately 100 articles reviewed, met these criteria.
Results:
A Spearman Rank Correlation Coefficient was calculated for number of spectators and patients and a significant relationship was identified (p = 0.0001). Mann-Whitney U-tests indicated that papal masses (p = 0.04), rock concerts (p = 0.005), hot climatic conditions (p = 0.03) and events held in the British Commonwealth (p = 0.03) had a significantly higher frequency of patient visits. Significantly more cardiac arrests occurred at papal masses (p = 0.04) and sporting events (p = 0.0002).
Conclusion:
Type of event, country, weather, and the size of the mass gathering had a significant effect on the numbers of spectators seeking medical care. A uniform classification scheme is necessary for future prospective studies of mass gatherings.
A little over 20 years ago, a small number of highly respected and internationally known scientists and experts in prehospital and in-hospital emergency and disaster medicine met under the chairmanship of Professor Peter Safar and the late Professor Rudolf Frey to found the Club of Mainz, with the aim of creating an association comparable to the renowned Club of Rome.
The goals of the new club were primarily to foster and improve disaster medicine worldwide and to better prepare for future natural and manmade disasters. After little more than 20 years, the former Club of Mainz, later renamed the World Association for Disaster and Emergency Medicine (WADEM) celebrates its 20th anniversary and, at the same time, organizes the 10th World Congress on Emergency and Disaster Medicine. Over the past 10 years, the Congress has been held throughout the world, first in Mainz and later, e.g., Pittsburgh, London, Rio de Janeiro, Hong Kong, Stockholm, Jerusalem, to return in 1997 to its place of origin.
To celebrate these events, the Congress program consists of three Plenary Sessions dedicated to aspects that already were of concern 20 years ago to assess the developments and progress made during that period of time.