Articles: emergency-department.
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Cardiac troponin I (cTnI) is highly specific for myocardial damage and for the diagnosis of acute coronary syndrome. We investigated cTnI utility and predictive value in patients with atrial fibrillation (AF) in the acute setting. ⋯ These data are the first to show that AF in the acute setting is frequently associated with cTnI elevations. AF patients with high heart rate and/or angina pectoris often show false elevated cTnI levels. These findings are relevant for clinicians evaluating patients with acute AF and myocardial ischemia symptoms. Appropriate clinical guidelines must be established that also consider AF-related elevations in cTnI.
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Multicenter Study Comparative Study
Cumulative incidence of functional decline after minor injuries in previously independent older Canadian individuals in the emergency department.
To estimate the cumulative incidence of functional decline in independent older adults 3 and 6 months after a minor injury treated in the emergency department (ED) and to identify predictors of this functional decline. ⋯ Minor injuries in independent older adults treated in EDs are associated with a 15% cumulative incidence of functional decline 3 months after the injury that persisted 6 months later. Simple-to-measure factors such as occasional use of a walking aid, daily medication, need for help with IADLs, and physician assessment of decline may help identify independent older adults at risk of functional decline during their consultation. These results confirm the need to improve risk assessment and management of this population in EDs.
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Emerg Med Australas · Oct 2013
ReviewReview article: Improving the hospital clinical handover between paramedics and emergency department staff in the deteriorating patient.
Clinical communication and recognising and responding to a deteriorating patient are key current patient safety issues in healthcare. The aim of this literature review is to identify themes associated with aspects of the hospital clinical handover between paramedics and ED staff that can be improved, with a specific focus on the transfer of care of a deteriorating patient. Extensive searches of scholarly literature were conducted using the main medical and nursing electronic databases, including Cumulative Index to Nursing and Allied Health Literature, Medline and PubMed, during 2011 and again in July 2012. ⋯ A structured handover tool such as ISBAR (a mnemonic covering Introduction, Situation, Background, Assessment and Recommendations) would appear to provide a solution to many of these issues. The recording of vital signs and transfer of these data might be improved with better observation systems incorporating early warning strategies. More effective teamwork could be achieved with further clinical communications training.
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Integration of clinical decision support services (CDSS) into electronic health records (EHRs) may be integral to widespread dissemination and use of clinical prediction rules in the emergency department (ED). However, the best way to design such services to maximize their usefulness in such a complex setting is poorly understood. We conducted a multi-site cross-sectional qualitative study whose aim was to describe the sociotechnical environment in the ED to inform the design of a CDSS intervention to implement the Pediatric Emergency Care Applied Research Network (PECARN) clinical prediction rules for children with minor blunt head trauma. ⋯ A total of 126 ED clinicians, information technology specialists, and administrators participated. We clustered data into 19 categories of sociotechnical factors through a process of thematic analysis and subsequently organized the categories into a sociotechnical matrix consisting of three high-level sociotechnical dimensions (workflow and communication, organizational factors, human factors) and three themes (interdisciplinary assessment processes, clinical practices related to prediction rules, EHR as a decision support tool). Design challenges that emerged from the analysis included the need to use structured data fields to support data capture and re-use while maintaining efficient care processes, supporting interdisciplinary communication, and facilitating family-clinician interaction for decision-making.