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      Association of socioeconomic status with outcomes in older adult community-dwelling patients after visiting the emergency department: a retrospective cohort study

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          Abstract

          Objectives

          Older adults frequently visit the emergency department (ED). Socioeconomic status (SES) has an important impact on health and ED utilisation; however, the association between SES and ED utilisation in elderly remains unclear. The aim of this study was to investigate the association between SES in older adult patients visiting the ED on outcomes.

          Design

          A retrospective study.

          Participants

          Older adults (≥65 years) visiting the ED, in the Netherlands. SES was stratified into tertiles based on average household income at zip code level: low (<€1800/month), intermediate (€1800–€2300/month) and high (>€2300/month).

          Primary outcomes

          Hospitalisation, inhospital mortality and 30-day ED return visits. Effect of SES on outcomes for all groups were assessed by logistic regression and adjusted for confounders.

          Results

          In total, 4828 older adults visited the ED during the study period. Low SES was associated with a higher risk of hospitalisation among community-dwelling patients compared with high SES (adjusted OR 1.3, 95% CI 1.1 to 1.7). This association was not present for intermediate SES (adjusted OR 1.1, 95% CI 0.95 to 1.4). Inhospital mortality was comparable between the low and high SES group, even after adjustment for age, comorbidity and triage level (low OR 1.4, 95% CI 0.8 to 2.6, intermediate OR 1.3, 95% CI 0.8 to 2.2). Thirty-day ED revisits among community-dwelling patients were also equal between the SES groups (low: adjusted OR 1.0, 95% CI 0.7 to 1.4, and intermediate: adjusted OR 0.8, 95% CI 0.6 to 1.1).

          Conclusion

          In older adult ED patients, low SES was associated with a higher risk of hospitalisation than high SES. However, SES had no impact on inhospital mortality and 30-day ED revisits after adjustment for confounders.

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          Most cited references37

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          Older patients in the emergency department: a review.

          Older patients account for up to a quarter of all emergency department (ED) visits. Atypical clinical presentation of illness, a high prevalence of cognitive disorders, and the presence of multiple comorbidities complicate their evaluation and management. Increased frailty, delayed diagnosis, and greater illness severity contribute to a higher risk of adverse outcomes. This article will review the most common conditions encountered in older patients, including delirium, dementia, falls, and polypharmacy, and suggest simple and efficient strategies for their evaluation and management. It will discuss age-related changes in the signs and symptoms of acute coronary events, abdominal pain, and infection, examine the yield of different diagnostic approaches in this population, and list the underlying medical problems present in half of all "social" admission cases. Complete geriatric assessments are time consuming and beyond the scope of most EDs. We propose a strategy based on the targeting of high-risk patients and provide examples of simple and efficient tools that are appropriate for ED use. Copyright (c) 2010 American College of Emergency Physicians. Published by Mosby, Inc. All rights reserved.
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            International perspectives on emergency department crowding.

            The maturation of emergency medicine (EM) as a specialty has coincided with dramatic increases in emergency department (ED) visit rates, both in the United States and around the world. ED crowding has become a public health problem where periodic supply and demand mismatches in ED and hospital resources cause long waiting times and delays in critical treatments. ED crowding has been associated with several negative clinical outcomes, including higher complication rates and mortality. This article describes emergency care systems and the extent of crowding across 15 countries outside of the United States: Australia, Canada, Denmark, Finland, France, Germany, Hong Kong, India, Iran, Italy, The Netherlands, Saudi Arabia, Catalonia (Spain), Sweden, and the United Kingdom. The authors are local emergency care leaders with knowledge of emergency care in their particular countries. Where available, data are provided about visit patterns in each country; however, for many of these countries, no national data are available on ED visits rates or crowding. For most of the countries included, there is both objective evidence of increases in ED visit rates and ED crowding and also subjective assessments of trends toward higher crowding in the ED. ED crowding appears to be worsening in many countries despite the presence of universal health coverage. Scandinavian countries with robust systems to manage acute care outside the ED do not report crowding is a major problem. The main cause for crowding identified by many authors is the boarding of admitted patients, similar to the United States. Many hospitals in these countries have implemented operational interventions to mitigate crowding in the ED, and some countries have imposed strict limits on ED length of stay (LOS), while others have no clear plan to mitigate crowding. An understanding of the causes and potential solutions implemented in these countries can provide a lens into how to mitigate ED crowding in the United States through health policy interventions and hospital operational changes. © 2011 by the Society for Academic Emergency Medicine.
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              A systematic review of the Charlson comorbidity index using Canadian administrative databases: a perspective on risk adjustment in critical care research.

              The Charlson index is commonly used for risk adjustment in critical care health services research. However, the literature supporting this methodology has not been thoroughly explored. We systematically reviewed the literature related to administrative database adaptations of the Charlson index. Our review has 3 major findings. First, 2 studies compared Canadian administrative databases with chart review for obtaining Charlson comorbidity data. Agreement between the database and chart review was substantial (kappa > 0.70), and mortality prediction did not differ. Second, 5 database adaptations were identified with the Deyo and Dartmouth-Manitoba adaptations being most popular. Three studies directly compared these 2 popular adaptations and demonstrated substantial agreement (kappa > 0.70) and similar predictive ability for mortality. Third, one study validated the Charlson index for critically ill patients but demonstrated that APACHE (Acute Physiology and Chronic Health Evaluation) II better discriminates inhospital mortality (area under curve 0.67 vs 0.87). Time and cost barriers prevent widespread use of physiology-based risk adjustment in population-based research. The decreased predictive ability of the Charlson index must be weighed against the advantages of using this instrument for population-based research. Future research should focus on updating the Charlson index for recent changes in the prognosis of comorbid diseases and introduction of International Statistical Classification of Diseases, 10th Revision coding of discharge abstracts.
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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
                2017
                26 December 2017
                : 7
                : 12
                : e019318
                Affiliations
                [1 ]departmentDepartment of Internal Medicine , Maxima Medisch Centre , Eindhoven, The Netherlands
                [2 ]departmentDepartment of Health Services Research , Maastricht University , Maastricht, The Netherlands
                [3 ]departmentCAPHRI School for Public Health and Primary Care , Maastricht University , Maastricht, The Netherlands
                [4 ]departmentSection of Acute Medicine, Division of General Medicine, Department of Internal Medicine , Maastricht University Medical Centre , Maastricht, The Netherlands
                [5 ]departmentNetherlands Cancer Registry , Netherlands Comprehensive Cancer Organisation , Utrecht, The Netherlands
                Author notes
                [Correspondence to ] Dr Joyce J H Wachelder; joyce.wachelder@ 123456mmc.nl
                Article
                bmjopen-2017-019318
                10.1136/bmjopen-2017-019318
                5770947
                29282273
                1dd524d9-fbbb-4af0-94e9-91604639e87b
                © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) 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/4.0/

                History
                : 25 August 2017
                : 16 November 2017
                : 20 November 2017
                Categories
                Emergency Medicine
                Research
                1506
                1691
                Custom metadata
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                Medicine
                socioeconomic status,elderly,emergency department
                Medicine
                socioeconomic status, elderly, emergency department

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