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      What do we really know about infants who attend Accident and Emergency departments?

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          Abstract

          Aims:

          Accident and Emergency attendances continue to rise. Infants are disproportionately represented. This study examines the clinical reasons infants attend UK Accident and Emergency departments.

          Methods:

          A retrospective review of 6,667 infants aged less than one year attending Accident and Emergency at two district general hospitals in London from 1 st April 2009 to 30 th March 2010. All infants had been assigned to a diagnostic category by the medical coding department according to National Health Service (NHS) data guidelines, based on the clinical diagnoses stated in the medical records. The Accident and Emergency case notes of a random subsample of 10% of infants in each of the top five recorded diagnostic categories ( n = 535) were reviewed in detail and audited against the standard national NHS data set.

          Results:

          The top 5 clinical diagnoses were ‘infectious diseases’, ‘gastrointestinal’, ‘respiratory’, ‘unclassifiable’ and ‘no abnormality detected’ (NAD). A third of infants were originally given a diagnosis of unclassifiable (21.5%) or NAD (11.5%). After detailed case-note review, we were able to reduce this to 9.7% (95% confidence interval (CI): 9.0, 10.4) and 8.8% (95% CI: 8.1, 9.5), respectively.

          Conclusion:

          This study demonstrates the importance of providing a clear clinical diagnosis and coding system for Accident and Emergency attendances and understanding that system fully. This would allow for better informed health service evaluation, planning and research as each of these relies on the interpretation of routine health-care data. Furthermore, the relatively high proportion (10%) of infants attending with no discernible underlying medical abnormality suggests the health needs of a significant proportion of infants attending Accident and Emergency departments may be better addressed by alternative service provision and/or improved education and support to parents.

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          Most cited references21

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          Two-sided confidence intervals for the single proportion: comparison of seven methods.

          Simple interval estimate methods for proportions exhibit poor coverage and can produce evidently inappropriate intervals. Criteria appropriate to the evaluation of various proposed methods include: closeness of the achieved coverage probability to its nominal value; whether intervals are located too close to or too distant from the middle of the scale; expected interval width; avoidance of aberrations such as limits outside [0,1] or zero width intervals; and ease of use, whether by tables, software or formulae. Seven methods for the single proportion are evaluated on 96,000 parameter space points. Intervals based on tail areas and the simpler score methods are recommended for use. In each case, methods are available that aim to align either the minimum or the mean coverage with the nominal 1 -alpha.
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            Probable Inference, the Law of Succession, and Statistical Inference

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              A population follow-up study of patients who left an emergency department without being seen by a medical officer.

              To describe the population of emergency department patients who leave without being seen by a medical officer, to investigate the circumstances of their visit and to ascertain whether they subsequently receive alternative medical care. A follow-up study was conducted of patients who were initially triaged, but left without being seen by a medical officer between July 2003 and October 2003 in a tertiary referral hospital emergency department in Sydney, Australia. Emergency Department Information System data were reviewed for population demographics, presenting complaints and acuity rating of patients. Follow-up telephone interviews were conducted within 7 days after the patient left the emergency department. During the study period, 8.6% (1272 of 14 741) of the emergency department patients left without seeing a doctor and 35.9% (457 of 1272) of these patients who walks out were contacted for follow-up. The results from bivariate and multivariate analyses showed that walkout rates significantly varied by sociodemographic and clinical characteristics of the patients. Young patients aged 0-29 years, and those with longer waiting time for triage and triaged as "less urgent" were more likely to walk out than others. Overcrowding in the emergency department had a significant association with walkout of patients. Prolonged waiting time was the most common reason for leaving emergency departments without being seen by a doctor. Only 12.7% (58 of 457) of the walkout patients revisited emergency departments within 7 days of their departure and of those who were subsequently admitted following their return to hospital accounted for 5.0% (23 of 457). Of the follow-up patients, 39.4% felt angry about their emergency department experiences. The number of patients who leave an emergency department without seeing a doctor is strongly correlated with waiting time for medical review. Achieving shorter emergency department waiting times is central to reducing the numbers of people leaving without being seen. The rate of patients who leave without being seen is also strongly correlated with triage category. These findings highlight the importance of accurate triaging, as this clearly influences waiting time. It is also likely that there are patients who benefit from the reassurance of the triage assessment, and therefore feel less urgency for medical review. These may be cases where immediate medical review is not essential. This area should be further explored. These results are important for planning and staffing health services. Decision makers should identify and target factors to minimise walkouts from public hospital emergency departments.
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                Author and article information

                Contributors
                Journal
                Perspect Public Health
                Perspect Public Health
                RSH
                sprsh
                Perspectives in Public Health
                SAGE Publications (Sage UK: London, England )
                1757-9139
                1757-9147
                March 2014
                March 2014
                : 134
                : 2
                : 93-100
                Affiliations
                [1-1757913913514964]UCL Institute for Global Health, London, UK and Child Public Health Group, Imperial College River Island Academic Department, Paediatric Department, Northwick Park Hospital (NWLH NHS Trust), London, UK
                [2-1757913913514964]Imperial College London, Medical School London, UK
                [3-1757913913514964]Child Public Health Group, Imperial College River Island Academic Department, Paediatric Department, Northwick Park Hospital (NWLH NHS Trust), London, UK
                [4-1757913913514964]Child Public Health Group, Imperial College River Island Academic Department, Paediatric Department, Northwick Park Hospital (NWLH NHS Trust), London, UK; Imperial College London, London, UK
                Author notes
                [*]Michelle Heys, UCL Institute for Global Health, 30 Guilford Street, London, WC1N 1EH, UK Child Public Health Group, Imperial College River Island Academic Department, Paediatric Department, Northwick Park Hospital (NWLH NHS Trust), London, UK Email: m.heys@ 123456ucla.co.uk
                Article
                10.1177_1757913913514964
                10.1177/1757913913514964
                4107802
                24336511
                ec0fbbdf-84fd-486f-a6bf-8064bbeca71e
                © Royal Society for Public Health 2013

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License ( http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page( http://www.uk.sagepub.com/aboutus/openaccess.htm).

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                infant,accident and emergency,emergency service,hospital,clinical audit,diagnosis,clinical coding

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