Developments in Surge Research Priorities: A Systematic Review of the Literature Following the Academic Emergency Medicine Consensus Conference, 2007–2015

摘要: Objectives In 2006, Academic Emergency Medicine (AEM) published a special issue summarizing the proceedings of AEM consensus conference on “Science Surge.” One major goal was to establish research priorities in field “disasters” surge. For this review, we wished determine progress toward conference's identified priorities: 1) defining criteria and methods for allocation scarce resources, 2) identifying effective triage protocols, 3) determining decision-makers means evaluate response efficacy, 4) developing communication information sharing strategies, 5) evaluating workforce needs. Methods Specific were developed conjunction with library search experts. PubMed, Embase, Web Science, Scopus, Cochrane Library databases queried peer-reviewed articles from 2007 2015 addressing scientific advances related above five by conference. Abstracts foreign language excluded. Only quantitative data predefined outcomes included; panel recommendations also included purposes review. Included study designs randomized controlled trials, prospective, retrospective, qualitative (consensus panel), observational, cohort, case–control, or before-and-after studies. Quality assessment performed using standardized tool studies. Results Of 2,484 unique strategy, 313 appeared be disaster Following detailed text 50 11 concept papers recommendations) addressed at least one surge priority. Outcomes validation benchmark 500 beds/million population capacity, effectiveness simulation- Internet-based tools forecasting hospital regional demand during disasters, reverse approaches, development new metrics, mass critical care approaches (altered standards care), use telemedicine, predictions optimal staffing levels events. Simulation provide some highest quality research. Conclusion Disaster simulation studies have arguably revolutionized intervening years since 2006 Science Surge conference, helping validate previously known benchmarks generate metrics. Use altered care, as well such Google Flu Trends, proven effective. However, there remains significant work done standardizing methodologies outcomes, validating