Literature DB >> 22440880

Track and trigger in an emergency department: an observational evaluation study.

Sarah J Wilson1, David Wong, David Clifton, Susannah Fleming, Rob Way, Richard Pullinger, Lionel Tarassenko.   

Abstract

OBJECTIVE: To evaluate the utilisation of paper-based track and trigger (T&T) charts in a UK emergency department (ED).
METHODS: A single-centre prospective observational cohort study was conducted in the ED of a medium-sized teaching hospital. Charted vital-sign data were collected from adults attending the resuscitation room, majors or observation ward. These data were examined in parallel with clinical notes to identify 'escalation' events. For each set of vital signs, the authors calculated the T&T score retrospectively.
RESULTS: Data from 472 patient episodes (2965 sets of vital signs) were examined. 85.8% of patients had at least one full set of observations (CEM standard) and 60.6% had at least one T&T score documented. However, only 34.5% of observation sets had a corresponding T&T score. 20.6% of T&T score totals (1024) were incorrect, potentially preventing a 'trigger' from being recognised. 204 patient episodes had at least one recorded escalation. Physiological escalations were associated with vital-sign scores that met the triggering thresholds (98/104), while patients who had non-physiological escalations or no escalations were more likely to have scores below the triggering thresholds (88/100). Only 26.9% of physiological escalations were associated with a documented T&T score above the triggering threshold. Retrospective completion of the charts increased that figure to 94.2%.
CONCLUSION: T&T in the ED is challenged by poor completion rates and numerical errors made during score calculation. However the potential for recognition of a deteriorating patient should not be ignored. The future work of the authors intends to evaluate an electronic system for automatically calculating T&T scores within the ED environment.

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Year:  2012        PMID: 22440880     DOI: 10.1136/emermed-2011-200499

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  7 in total

1.  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

Review 2.  Systems for recognition and response to deteriorating emergency department patients: a scoping review.

Authors:  Julie Considine; Margaret Fry; Kate Curtis; Ramon Z Shaban
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2021-05-22       Impact factor: 2.953

3.  Design and experimental approach to the construction of a human signal-molecule-profiling database.

Authors:  Xinyan Zhao; Tao Dong
Journal:  Int J Environ Res Public Health       Date:  2013-12-09       Impact factor: 3.390

4.  Developing the Accuracy of Vital Sign Measurements Using the Lifelight Software Application in Comparison to Standard of Care Methods: Observational Study Protocol.

Authors:  Thomas L Jones; Emily Heiden; Felicity Mitchell; Carole Fogg; Sharon McCready; Laurence Pearce; Melissa Kapoor; Paul Bassett; Anoop J Chauhan
Journal:  JMIR Res Protoc       Date:  2021-01-28

5.  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

Review 6.  The effectiveness of physiologically based early warning or track and trigger systems after triage in adult patients presenting to emergency departments: a systematic review.

Authors:  Francesca Wuytack; Pauline Meskell; Aislinn Conway; Fiona McDaid; Nancy Santesso; Fergal G Hickey; Paddy Gillespie; Adam J N Raymakers; Valerie Smith; Declan Devane
Journal:  BMC Emerg Med       Date:  2017-12-06

7.  Impact of Electronic Versus Paper Vital Sign Observations on Length of Stay in Trauma Patients: Stepped-Wedge, Cluster Randomized Controlled Trial.

Authors:  David Cw Wong; Julia Knight; Jacqueline Birks; Lionel Tarassenko; Peter J Watkinson
Journal:  JMIR Med Inform       Date:  2018-10-31
  7 in total

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