Literature DB >> 21515526

Significant deficiencies in the overnight use of a Standardised Early Warning Scoring system in a teaching hospital.

Claire F Gordon1, Daniel J Beckett.   

Abstract

National Institute for Health and Clinical Excellence guidelines recommend the use of 'Track and Trigger' systems to identify early clinical deterioration. The Standardised Early Warning Score (SEWS) is used in the Royal Infirmary of Edinburgh. Previous work, suggested that the frequency and accuracy of SEWS documentation varied throughout the hospital. A prospective study was performed over a 14-night period looking at SEWS documentation in patients causing clinical concern requiring medical review, or triggering a SEWS of 4 (the 'trigger' score). SEWS charts were examined the following morning. In the ward arc, SEWS documentation was correct in only 21% of cases. The most frequent errors were one or more observations omitted (64%), SEWS total not calculated (55%) or incorrectly calculated (21%). Up to five errors per chart were noted. The observations most frequently omitted were respiratory rate, temperature and neurological status. In contrast, SEWS documentation was correct in 68% of patients in the combined assessment unit (CAU). This study demonstrates significant deficiencies in the overnight use of SEWS, particularly on the ward arc. This is particularly concerning as this study was limited only to patients already causing clinical concern, and highlights that basic observations are often incomplete, and the SEWS chart poorly understood and acted upon. SEWS recording and documentation was significantly better in CAU (P < 0.001, FET), where there is a dedicated, ongoing SEWS education programme for nursing and medical staff. We recommend this is rolled out across the hospital. Alternative methods of improving the use of SEWS are considered.

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Year:  2011        PMID: 21515526     DOI: 10.1258/smj.2010.010009

Source DB:  PubMed          Journal:  Scott Med J        ISSN: 0036-9330            Impact factor:   0.729


  5 in total

1.  'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs--a database analysis.

Authors:  David A Clifton; Lei Clifton; Dona-Maria Sandu; G B Smith; Lionel Tarassenko; Sarah A Vollam; Peter J Watkinson
Journal:  BMJ Open       Date:  2015-07-03       Impact factor: 2.692

2.  Patient Harm and Institutional Avoidability of Out-of-Hours Discharge From Intensive Care: An Analysis Using Mixed Methods.

Authors:  Sarah Vollam; Owen Gustafson; Lauren Morgan; Natalie Pattison; Hilary Thomas; Peter Watkinson
Journal:  Crit Care Med       Date:  2022-03-07       Impact factor: 9.296

3.  Placing clinical variables on a common linear scale of empirically based risk as a step towards construction of a general patient acuity score from the electronic health record: a modelling study.

Authors:  Steven I Rothman; Michael J Rothman; Alan B Solinger
Journal:  BMJ Open       Date:  2013-05-14       Impact factor: 2.692

4.  Relationships between healthcare staff characteristics and the conduct of vital signs observations at night: Results of a survey and factor analysis.

Authors:  Alejandra Recio-Saucedo; Antonello Maruotti; Peter Griffiths; Gary B Smith; Paul Meredith; Greta Westwood; Carole Fogg; Paul Schmidt
Journal:  Nurs Open       Date:  2018-07-16

5.  Quantitative systematic review: Sources of inaccuracy in manually measured adult respiratory rate data.

Authors:  Noa Kallioinen; Andrew Hill; Melany J Christofidis; Mark S Horswill; Marcus O Watson
Journal:  J Adv Nurs       Date:  2020-10-10       Impact factor: 3.057

  5 in total

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