A common chief complaint to emergency dispatch communication centers worldwide is “breathing problems”. The chief complaint of breathing problems represents a wide spectrum of underlying diseases, patient conditions, and onset types. The current debate is on the potential ability of a dispatch protocol to safely and with high specificity, differentiate patients with minor or non-critical conditions from those conditions that pose risk to the patient and require advanced life support evaluation and care. This issue also has extended into the paramedic prehospital evaluation realm.

The objective of this study was to describe the distribution of Medical Priority Dispatch System (MPDS) codes representing the spectrum of clinical descriptions within the breathing problems chief complaint and their associated outcomes, at the scene and during transport, as determined by [UK] paramedics.

A retrospective, one-year study (September 2005 to August 2006) of a de-identified aggregate dataset from the London Ambulance Service (LAS) Trust was evaluated. A profile of the distribution of calls, incidents, patients, and outcomes (cardiac arrest [CA] and blue-in [BI] high acuity i.e., patients transported with lights and siren based on paramedic protocol) for the breathing problems chief complaint was evaluated.Odds ratios and 95% confidence intervals (CI) were used to quantify associations between the MPDS priority level's concurrent asthmatic conditions and outcomes. Two-sided Fisher's exact p-values were obtained to determine statistically significant associations, at a level of 0.05.

Sixteen percent (95,848/599,093) of all the patients were classified under the breathing problems chief complaint.Of these 95,848 patients,367 (0.38%) were CA outcomes, and 7.82% (n = 7,493) were BI outcomes.The Cardiac Arrest Quotient (i.e., the number of CA cases as a percentage of the number of patients) for the ECHO priority level was 46 times higher than was that of non-ECHO priority levels: DELTA and CHARLIE (17.05% vs. 0.37%). Asthmatics were associated with CA outcome (OR(95%CI): 0.60(0.47, 0.77), p <0.001), but not with BI outcome.

The MPDS coding yielded a richer mix of severe outcomes in the higher priority levels. The Severe Respiratory Distress coding had the greatest number of patients and severe outcomes. Future studies that help refine the Severe Respiratory Distress code in the MPDS by more specific subgroups of patients would be beneficial.

This study utilizes a [US] national sample of emergency medical services (EMS) professionals to explore the hypothesis that demographic and work-related characteristics are associated with involvement in ambulance crashes.

In 2004, a cohort of nationally registered EMS professionals was surveyed to determine ambulance crash involvement during a 12-month period. Involvement in an ambulance crash was the outcome variable of interest. Demographics such as age, community size, service type, call volume, time spent in an ambulance, and current sleep problems were analyzed as independent variables. A multivariate logistic regression model identified variables associated with involvement in an ambulance crash within the past year.

Surveys were received from 1,775/5,565 (32.0%) participants; 1,297 (73.1%) met the inclusion criteria. A total of 111 (8.6%) of participants reported being involved in an ambulance crash within the past 12 months. When controlling for call volume and time in an ambulance, the odds of involvement in an ambulance crash within the past year were significantly higher for younger EMS professionals and those reporting sleep problems.

Results from this analysis suggest age and sleep problems are associated with involvement in an ambulance crash. Future studies should investigate interventions to minimize the effects of these associations.

Increasingly, individuals are relying on the Internet as a major source of health information. When faced with sudden or pending disasters, people resort to the Internet in search of clear, current, and accurate instructions on how to prepare for and respond to such emergencies. Research about online health resources ascertained that information was written at the secondary education and college levels and extremely difficult for individuals with limited literacy to comprehend. This content analysis is the first to assess the reading difficulty level and format suitability of a large number of disaster and emergency preparedness Web pages intended for the general public.

The aims of this study were to: (1) assess the readability and suitability of disaster and emergency preparedness information on the Web; and (2) determine whether the reading difficulty level and suitability of online resources differ by the type of disaster or emergency and/or Website domain.

Fifty Websites containing information on disaster and/or emergency preparedness were retrieved using the GoogleTM search engine. Readability testing was conducted on the first Web page, suggested by GoogleTM, addressing preparedness for the general public. The reading level was assessed using Flesch-Kincaid (F-K) and Flesch Reading Ease (FRE) measures. The Suitability Assessment of Materials (SAM) instrument was used to evaluate additional factors such as graphics, layout, and cultural appropriateness.

The mean F-K readability score of the 50 Websites was Grade 10.74 (95% CI = 9.93, 11.55). The mean FRE score was 45.74 (95% CI = 41.38, 50.10), a score considered “difficult”. A Web page with content about both risk and preparedness supplies was the most difficult to read according to F-K (Grade level = 12.1). Web pages with general disaster and emergency information and preparedness supplies were considered most difficult according to the FRE (38.58, 95% CI = 30.09, 47.08). The average SAM score was 48% or 0.48 (95% CI = 0.45, 0.51), implying below average suitability of these Websites. Websites on pandemics and bioterrorism were the most difficult to read (F-K: p = 0.012; FRE: p = 0.014) and least suitable (SAM: p = 0.035) compared with other disasters and emergencies.

The results suggest the need for readily accessible preparedness resources on the Web that are easy-to-read and visually appropriate. Interdisciplinary collaborations between public health educators, risk communication specialists, and Web page creators and writers are recommended to ensure the development and dissemination of disaster and emergency resources that consider literacy abilities of the general public.

Chronic diseases are major causes of death and disability and often require multiple prescribed medications for treatment and control. Public health emergencies (e.g., disasters due to natural hazards) that disrupt the availability or supply of these medications may exacerbate chronic disease or even cause death.

A repository of chronic disease pharmaceuticals and medical supplies organized for rapid response in the event of a public health emergency is desirable. However, there is no science base for determining the contents of such a repository. This study provides the first step in an evidence-based approach to inform the planning, periodic review, and revision of repositories of chronic disease medications.

Data from the 2004 National Hospital Ambulatory Medical Care Survey (NHAMCS) were used to examine the prescription medication needs of persons presenting to US hospital emergency departments for chronic disease exacerbations. It was assumed that the typical distribution of cases for an emergency department will reflect the patient population treated in the days after a public health emergency. The estimated numbers of prescribed drugs for chronic conditions that represent the five leading causes of death, the five leading primary diagnoses for physician office visits, and the five leading causes of disease burden assessed by disability-adjusted life years are presented.

The 2004 NHAMCS collected data on 36,589 patient visits that were provided by 376 emergency departments. Overall, the five drug classes mentioned most frequently for emergency department visits during 2004 were narcotic analgesics (30.7 million), non-steroidal anti-inflammatory drugs (25.2 million), non-narcotic analgesics (15.2 million), sedatives and hypnotics (10.4 million), and cephalosporins (8.2 million). The drug classes mentioned most frequently for chronic conditions were: (1) for heart disease, antianginal agents/vasodilators (715,000); (2) for cancer, narcotic analgesics (53,000); (3) for stroke, non-narcotic analgesics (138,000); (4) for chronic obstructive pulmonary disease, anti-asthmatics/bronchodilators (3.2 million); and (5) for diabetes, hypoglycemic agents (261,000). Ten medication categories were common across four or more chronic conditions.

Persons with chronic diseases have an urgent need for ongoing care and medical support after public health emergencies. These findings provide one evidence-based approach for informing public health preparedness in terms of planning for and review of the prescription medication needs of clinically vulnerable populations with prevalent chronic disease.

The immediate impact of exposure to severe wounds, dead bodies, and immediate threat to life has been understudied. Most studies focus on the acute stress disorder and/or post-traumatic stress disorder phases in order to assess rescue personnel's symptomatology, and tend to neglect the immediate exposure to elements of the disaster.

Rescue personnel who had a history of previous exposure to dead bodies would exhibit higher levels of acute stress symptoms, dissociation, and depressive symptoms within the 24 hours following a traumatic event.

Twenty-three rescue personnel participated in the search and excavation of dead and mutilated bodies following the Bet-Yehoshua train crash in Israel.The rescue personnel group was divided based on previous exposure to dead bodies. Each participant completed a demographic questionnaire, which included a question on perceived threat to life, the impact of event scale revised, the dissociative experience scale, and the center of epidemiologic studies depression questionnaire. Student's t-tests, along with multivariate analysis of covariance (MANCOVA) were conducted in order to learn which factors are related to psychiatric symptomatology following the immediate exposure to such stressors.

Among rescue personnel, those with previous exposure to dead bodies did not differ in their levels of acute stress symptoms, dissociation, and depressive symptoms from those who were not previously exposed to dead bodies.

These results may suggest the possibility that the impact of exposure to dead bodies does not emerge in the acute stress reactions (ASR) phase (up to 24 hours after the event), but later when people have time to process the trauma. Another possibility is that the rescue coping mechanisms of detachment may serve as a buffer for the horrific sights encountered during the ASR period.