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      Systematic literature review of templates for reporting prehospital major incident medical management

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          Abstract

          Objective

          To identify and describe the content of templates for reporting prehospital major incident medical management.

          Design

          Systematic literature review according to PRISMA guidelines.

          Data sources

          PubMed/MEDLINE, EMBASE, CINAHL, Scopus and Web of Knowledge. Grey literature was also searched.

          Eligibility criteria for selected studies

          Templates published after 1 January 1990 and up to 19 March 2012. Non-English language literature, except Scandinavian; literature without an available abstract; and literature reporting only psychological aspects were excluded.

          Results

          The main database search identified 8497 articles, among which 8389 were excluded based on title and abstract. An additional 96 were excluded based on the full-text. The remaining 12 articles were included in the analysis. A total of 107 articles were identified in the grey literature and excluded. The reference lists for the included articles identified five additional articles. A relevant article published after completing the search was also included. In the 18 articles included in the study, 10 different templates or sets of data are described: 2 methodologies for assessing major incident responses, 3 templates intended for reporting from exercises, 2 guidelines for reporting in medical journals, 2 analyses of previous disasters and 1 Utstein-style template.

          Conclusions

          More than one template exists for generating reports. The limitations of the existing templates involve internal and external validity, and none of them have been tested for feasibility in real-life incidents.

          Trial registration

          The review is registered in PROSPERO (registration number: CRD42012002051).

          Related collections

          Most cited references44

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          No role for quality scores in systematic reviews of diagnostic accuracy studies

          Background There is a lack of consensus regarding the use of quality scores in diagnostic systematic reviews. The objective of this study was to use different methods of weighting items included in a quality assessment tool for diagnostic accuracy studies (QUADAS) to produce an overall quality score, and to examine the effects of incorporating these into a systematic review. Methods We developed five schemes for weighting QUADAS to produce quality scores. We used three methods to investigate the effects of quality scores on test performance. We used a set of 28 studies that assessed the accuracy of ultrasound for the diagnosis of vesico-ureteral reflux in children. Results The different methods of weighting individual items from the same quality assessment tool produced different quality scores. The different scoring schemes ranked different studies in different orders; this was especially evident for the intermediate quality studies. Comparing the results of studies stratified as "high" and "low" quality based on quality scores resulted in different conclusions regarding the effects of quality on estimates of diagnostic accuracy depending on the method used to produce the quality score. A similar effect was observed when quality scores were included in meta-regression analysis as continuous variables, although the differences were less apparent. Conclusion Quality scores should not be incorporated into diagnostic systematic reviews. Incorporation of the results of the quality assessment into the systematic review should involve investigation of the association of individual quality items with estimates of diagnostic accuracy, rather than using a combined quality score.
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            Recommended guidelines for reviewing, reporting, and conducting research on post-resuscitation care: the Utstein style.

            The aim of this report is to establish recommendations for reviewing, reporting, and conducting research during the post-resuscitation period in hospital. It defines data that are needed for research and more specialised registries and therefore supplements the recently updated Utstein template for resuscitation registries. The updated Utstein template and the out-of-hospital "Chain of Survival" describe factors of importance for successful resuscitation up until return of spontaneous circulation (ROSC). Several factors in the in-hospital phase after ROSC are also likely to affect the ultimate outcome of the patient. Large differences in survival to hospital discharge for patients admitted alive are reported between hospitals. Therapeutic hypothermia has been demonstrated to improve the outcome, and other factors such as blood glucose, haemodynamics, ventilatory support, etc., might also influence the result. No generally accepted, scientifically based protocol exists for the post-resuscitation period in hospital, other than general brain-oriented intensive care. There is little published information on this in-hospital phase. This statement is the result of a scientific consensus development process started as a symposium by a task force at the Utstein Abbey, Norway, in September 2003. Suggested data are defined as core and supplementary and include the following categories: pre-arrest co-morbidity and functional status, cause of death, patients' quality of life, in-hospital system factors, investigations and treatment, and physiological data at various time points during the first three days after admission. It is hoped that the publication of these recommendations will encourage research into the in-hospital post-resuscitation phase, which we propose should be included in the chain-of-survival as a fifth ring. Following these recommendations should enable better understanding of the impact of different in-hospital treatment strategies on outcome.
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              Generic evaluation methods for disaster drills in developing countries.

              Disaster simulations (drills) are widely used throughout the world and are considered a fundamental tool for evaluation and improvement of local disaster response capacity. Despite this, no generally accepted methodology exists for quantitative evaluation of the medical response to a disaster drill. We therefore set out to develop and prospectively test a comprehensive method to assess both medical provider and organizational performance during a disaster simulation. Because disasters disproportionately affect the populations of developing countries, we designed these methods to be sufficiently flexible to be applicable in both the developed and the developing world. Objective outcome measures were identified for each component of disaster medical response and were incorporated into 3 data collection instruments. The derived methods were applied to a multiagency disaster simulation in Guatemala City, Guatemala. On the basis of this pilot study, suggested modifications and recommendations were made. The ability to objectively identify the specific strengths and weaknesses of an emergency medical services systems' medical response to a disaster is an important step toward optimizing system performance. On the basis of our experience, we recommend the incorporation of objective evaluation methods such as these into every disaster simulation.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2013
                1 August 2013
                : 3
                : 8
                : e002658
                Affiliations
                [1 ]Department of Research and Development, Norwegian Air Ambulance Foundation , Drøbak, Norway
                [2 ]Anaesthesia and Critical Care Research Group, Faculty of Health Sciences, University of Tromsø , Tromsø, Norway
                [3 ]Network of Medical Sciences, Field of Pre-hospital Critical Care, University of Stavanger , Stavanger, Norway
                [4 ]Department of Anaesthesia and Intensive Care, Akershus University Hospital , Lørenskog, Norway
                [5 ]Science and Health Library, University Library of Tromsø, University of Tromsø , Tromsø, Norway
                [6 ]Department of Anaesthesiology and Intensive Care, Hammerfest Hospital, Finnmark Health Trust , Hammerfest, Norway
                Author notes
                [Correspondence to ] Sabina Fattah; sabina.fattah@ 123456norskluftambulanse.no
                Article
                bmjopen-2013-002658
                10.1136/bmjopen-2013-002658
                3733314
                23906946
                701f7201-ed81-4858-a4ec-563a96f12403
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/

                History
                : 30 January 2013
                : 25 June 2013
                : 27 June 2013
                Categories
                Emergency Medicine
                Research
                1506
                1691
                1682
                1710
                1694

                Medicine
                disaster medicine,emergencies,major incidents,mass casualty incidents,data collection,health care management

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