Literature DB >> 19127227

Improving accuracy and efficiency of early warning scores in acute care.

Ma Mohammed1, R Hayton, G Clements, G Smith, D Prytherch.   

Abstract

BACKGROUND: Early warning scores (EWS) are an integral part of the care of acutely ill patients. Unfortunately, in the few studies where the accuracy of EWS has been tested it has been found to be lacking, with serious implications for quality of care. AIM: To determine if the provision of computer-aided scoring could increase the accuracy and efficiency of EWS calculations, when compared with the traditional pen-and-paper method, and to determine if it was acceptable to users.
DESIGN: 26 nurses from two surgical assessment wards in two hospitals were studied. The study was conducted in three phases. Phase 1--a classroom-based exercise where nurses were given ten patient vignettes and asked to derive EWS using traditional pen-and-paper methods; Phase 2--the same as phase 1, but using a hand-held computer to derive EWS; Phase 3--the same as phase 2, but was a follow-up exercise undertaken in the ward environment, 4 weeks after computer-aided scoring was implemented in the two wards. Each phase closed with a user perception/attitudes questionnaire.
RESULTS: Accuracy and efficiency--phase 1 was associated with a significantly lower overall accuracy (152/260, 58%) compared with phase 2 (96%; difference in proportions 38%, 95% confidence interval 31-44%, P < 0.0001). There was a small but significant reduction in accuracy from phase 2 (96%) to phase 3 (88%) (8% difference, P=0.006). The mean time to derive an EWS reduced from 37.9 seconds in phase 1 to 35.1 seconds in phase 2 (P=0.016), down to 24.0 seconds in phase 3 (P<0.0001). User acceptability: in phase 1, nurses favoured the pen-and-paper method in all respects except accuracy. In phase 2, nurses' views shifted significantly in favour of the hand-held computer, with little deterioration in the follow-up phase 3.
CONCLUSIONS: A hand-held computer helps to improve the accuracy and efficiency of EWS in acute hospital care and is acceptable to nurses.

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Year:  2009        PMID: 19127227     DOI: 10.12968/bjon.2009.18.1.32072

Source DB:  PubMed          Journal:  Br J Nurs        ISSN: 0966-0461


  18 in total

1.  Computer-aided National Early Warning Score to predict the risk of sepsis following emergency medical admission to hospital: a model development and external validation study.

Authors:  Muhammad Faisal; Donald Richardson; Andrew J Scally; Robin Howes; Kevin Beatson; Kevin Speed; Mohammed A Mohammed
Journal:  CMAJ       Date:  2019-04-08       Impact factor: 8.262

2.  The National Early Warning Score and its subcomponents recorded within ±24 h of emergency medical admission are poor predictors of hospital-acquired acute kidney injury.

Authors:  Muhammad Faisal; Andy Scally; Musab Ahmed Elgaali; Donald Richardson; Kevin Beatson; Mohammed A Mohammed
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3.  A ward-based time study of paper and electronic documentation for recording vital sign observations.

Authors:  David Wong; Timothy Bonnici; Julia Knight; Stephen Gerry; James Turton; Peter Watkinson
Journal:  J Am Med Inform Assoc       Date:  2017-07-01       Impact factor: 4.497

4.  '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

5.  A simple prognostic index based on admission vital signs data among patients with sepsis in a resource-limited setting.

Authors:  Stephen B Asiimwe; Amir Abdallah; Richard Ssekitoleko
Journal:  Crit Care       Date:  2015-03-16       Impact factor: 9.097

6.  Accuracy and Efficiency of Recording Pediatric Early Warning Scores Using an Electronic Physiological Surveillance System Compared With Traditional Paper-Based Documentation.

Authors:  Gerri Sefton; Steven Lane; Roger Killen; Stuart Black; Max Lyon; Pearl Ampah; Cathryn Sproule; Dominic Loren-Gosling; Caitlin Richards; Jean Spinty; Colette Holloway; Coral Davies; April Wilson; Chung Shen Chean; Bernie Carter; E D Carrol
Journal:  Comput Inform Nurs       Date:  2017-05       Impact factor: 1.985

7.  Development and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: a cross-sectional study.

Authors:  Muhammad Faisal; Andrew J Scally; Natalie Jackson; Donald Richardson; Kevin Beatson; Robin Howes; Kevin Speed; Madhav Menon; Jeremey Daws; Judith Dyson; Claire Marsh; Mohammed A Mohammed
Journal:  BMJ Open       Date:  2018-12-06       Impact factor: 2.692

8.  Index blood tests and national early warning scores within 24 hours of emergency admission can predict the risk of in-hospital mortality: a model development and validation study.

Authors:  Mohammed A Mohammed; Gavin Rudge; Duncan Watson; Gordon Wood; Gary B Smith; David R Prytherch; Alan Girling; Andrew Stevens
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

9.  SEND: a system for electronic notification and documentation of vital sign observations.

Authors:  David Wong; Timothy Bonnici; Julia Knight; Lauren Morgan; Paul Coombes; Peter Watkinson
Journal:  BMC Med Inform Decis Mak       Date:  2015-08-13       Impact factor: 2.796

10.  Imperfect implementation of an early warning scoring system in a Danish teaching hospital: a cross-sectional study.

Authors:  Mark Niegsch; Maria Louise Fabritius; Jacob Anhøj
Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

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