42 research outputs found

    Establishing the Scope and Methodological Approach to Out-of-hospital Outcomes and Effectiveness Research

    Full text link
    : Outcomes research offers out-of-hospital medicine a valuable methodology for studying the effectiveness of services provided in the out-of hospital setting. A clear understanding of the history and constructs of outcomes research is necessary for its integration into emergency medical services research. This report describes the conceptual framework of outcomes research and key methodological considerations for the successful implementation of out-of-hospital outcomes research. Illustrations of the specific applications of outcomes research and implications to existing methodologies are given, as well as suggestions for improved interdisciplinary research.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75033/1/j.aem.2004.04.014.pd

    Risk Adjustment and Outcome Measures for Out-of-hospital Respiratory Distress

    Full text link
    : The purpose of the Emergency Medical Services Outcomes Project (EMSOP) is to develop a foundation and framework for out-of-hospital outcomes research. In prior work, this group delineated the priority conditions, described conceptual models, suggested core and risk adjustment measures potentially useful to emergency medical services research, and summarized out-of-hospital pain measurement. In this fifth article in the EMSOP series, the authors recommend specific risk-adjustment measures and outcome measures for use in out-of-hospital research on patients presenting with respiratory distress. The methodology included systematic literature searches and a structured review by an expert panel. The EMSOP group recommends use of pulse oximetry, peak expiratory flow rate, and the visual analog dyspnea scale as potential risk-adjustment measures and outcome measures for out-of-hospital research in patients with respiratory distress. Furthermore, using mortality as an outcome measure is also recommended. Future research is needed to alleviate the paucity of validated tools for out-of-hospital outcomes research.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73779/1/j.aem.2004.03.010.pd

    Out-of-Hospital Tranexamic Acid for Traumatic Brain Injury.

    Full text link
    In this issue of JAMA, Rowell and colleagues from the Resuscitation Outcomes Consortium report findings from a randomized clinical trial of out-of-hospital administration of the antifibrinolytic agent tranexamic acid for patients with moderate or severe traumatic brain injury (TBI; defined as out-of-hospital Glasgow Coma Scale [GCS] score ≤12) and systolic blood pressure of at least 90 mm Hg.1 The study randomized patients to 3 treatment groups in which patients received either a 1-g tranexamic acid out-of-hospital bolus and 1-g in-hospital infusion over 8 hours (bolus maintenance group), a 2-g tranexamic acid out-of-hospital bolus and placebo infusion (bolus only group), or placebo bolus and placebo infusion (placebo group). The preplanned primary analysis compared the combined tranexamic acid treatment groups (n = 657) vs the placebo group (n = 309). There was no significant difference in the primary end point of favorable neurologic outcome at 6 months, defined as a Glasgow Outcome Scale-Extended score greater than 4 (65% of patients in the tranexamic acid group vs 62% in the placebo group; difference, −3.5% [90% 1-sided confidence limit for benefit, −0.9%]; P = .16; [97.5% 1-sided confidence limit for harm, 10.2%]; P = .84). In addition, no significant differences between the combined tranexamic acid group vs the placebo group were identified in the secondary end points of 28-day all-cause mortality (14% vs 17%; adjusted difference, −2.9% [95% CI, −7.9% to 2.1%]), 6-month Disability Rating Scale score (6.8 vs 7.6; adjusted difference, −0.9; [95% CI, −2.5 to 0.7]), or progression of intracranial hemorrhage (ICH; 16% vs 20%; adjusted difference, −5.4% [95% CI, −12.8% to 2.1%]). [Opening paragraph

    A New Model for Providing Prehospital Medical Care in Large Stadiums

    No full text
    To determine proper priorities for the provision of health care in large stadiums, we studied the medical incident patterns occurring in a major college facility and combined this with previously reported information from four other large stadiums. Medical incidents were an uncommon occurrence (1.20 to 5.23 per 10,000 people) with true medical emergencies being even more unusual (0.09 to 0.31 per 10,000 people). Cardiac arrest was rare (0.01 to 0.04 events per 10,000 people). However, the rates of successful resuscitation in three studies were 85% or higher. The previous studies were descriptive in nature and failed to provide specific recommendations for medical aid system configuration or response times. A model is proposed to provide rapid response of advanced life support care to victims of cardiac arrest. We believe that the use of this model in large stadiums throughout the United States could save as many as 100 lives during each football season

    An Economic Toolkit for Identifying the Cost of Emergency Medical Services (EMS) Systems: Detailed Methodology of the EMS Cost Analysis Project (EMSCAP)

    Full text link
    Calculating the cost of an emergency medical services (EMS) system using a standardized method is important for determining the value of EMS. This article describes the development of a methodology for calculating the cost of an EMS system to its community. This includes a tool for calculating the cost of EMS (the “cost workbook”) and detailed directions for determining cost (the “cost guide”). The 12‐step process that was developed is consistent with current theories of health economics, applicable to prehospital care, flexible enough to be used in varying sizes and types of EMS systems, and comprehensive enough to provide meaningful conclusions. It was developed by an expert panel (the EMS Cost Analysis Project [EMSCAP] investigator team) in an iterative process that included pilot testing the process in three diverse communities. The iterative process allowed ongoing modification of the toolkit during the development phase, based upon direct, practical, ongoing interaction with the EMS systems that were using the toolkit. The resulting methodology estimates EMS system costs within a user‐defined community, allowing either the number of patients treated or the estimated number of lives saved by EMS to be assessed in light of the cost of those efforts. Much controversy exists about the cost of EMS and whether the resources spent for this purpose are justified. However, the existence of a validated toolkit that provides a standardized process will allow meaningful assessments and comparisons to be made and will supply objective information to inform EMS and community officials who are tasked with determining the utilization of scarce societal resources. ACADEMIC EMERGENCY MEDICINE 2012; 19:1–7 © 2012 by the Society for Academic Emergency MedicinePeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90144/1/j.1553-2712.2011.01277.x.pd

    Description of Abnormal Breathing Is Associated With Improved Outcomes and Delayed Telephone Cardiopulmonary Resuscitation Instructions

    No full text
    Background-Emergency 9-1-1 callers use a wide range of terms to describe abnormal breathing in persons with out-of-hospital cardiac arrest (OHCA). These breathing descriptors can obstruct the telephone cardiopulmonary resuscitation (CPR) process. Methods and Results-We conducted an observational study of emergency call audio recordings linked to confirmed OHCAs in a statewide Utstein-style database. Breathing descriptors fell into 1 of 8 groups (eg, gasping, snoring). We divided the study population into groups with and without descriptors for abnormal breathing to investigate the impact of these descriptors on patient outcomes and telephone CPR process. Callers used descriptors in 459 of 2411 cases (19.0%) between October 1, 2010, and December 31, 2014. Survival outcome was better when the caller used a breathing descriptor (19.6% versus 8.8%, P<0.0001), with an odds ratio of 1.63 (95% confidence interval, 1.17-2.25). After exclusions, 379 of 459 cases were eligible for process analysis. When callers described abnormal breathing, the rates of telecommunicator OHCA recognition, CPR instruction, and telephone CPR were lower than when callers did not use a breathing descriptor (79.7% versus 93.0%, P<0.0001; 65.4% versus 72.5%, P=0.0078; and 60.2% versus 66.9%, P=0.0123, respectively). The time interval between call receipt and OHCA recognition was longer when the caller used a breathing descriptor (118.5 versus 73.5 seconds, P<0.0001). Conclusions-Descriptors of abnormal breathing are associated with improved outcomes but also with delays in the identification of OHCA. Familiarizing telecommunicators with these descriptors may improve the telephone CPR process including OHCA recognition for patients with increased probability of survival.Medtronic Foundation through the HeartRescue GrantOpen Access Journal; Creative Commons Attribution Non-Commercial License.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

    A Comprehensive Framework for Determining the Cost of an Emergency Medical Services System

    No full text
    To determine the cost of an emergency medical services (EMS) system, researchers, policymakers, and EMS providers need a framework with which to identify the components of the system that must be included in any cost calculations. Such a framework will allow for cost comparisons across studies, communities, and interventions. The objective of this article is to present an EMS cost framework. This framework was developed by a consensus panel after analysis of existing peer-reviewed and non-peer-reviewed resources, as well as independent expert input. The components of the framework include administrative overhead, bystander response, communications, equipment, human resources, information systems, medical oversight, physical plant, training, and vehicles. There is no hierarchical rank to these components; they are all necessary. Within each component, there are subcomponents that must be considered. This framework can be used to standardize the calculation of EMS system costs to a community. Standardizing the calculation of EMS cost will allow for comparisons of costs between studies, communities, and interventions. © 2007 American College of Emergency Physicians
    corecore