Literature DB >> 33407699

Predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in England: a mixed methods diagnostic accuracy study.

Caroline L Watkins1, Stephanie P Jones1, Margaret A Hurley1, Valerio Benedetto1, Christopher I Price2, Christopher J Sutton3, Tom Quinn4, Munirah Bangee1, Brigit Chesworth1, Colette Miller1, Dawn Doran1, Aloysius Niroshan Siriwardena5, Josephine M E Gibson6.   

Abstract

BACKGROUND: The aim of this study was to identify key indicator symptoms and patient factors associated with correct out of hospital cardiac arrest (OHCA) dispatch allocation. In previous studies, from 3% to 62% of OHCAs are not recognised by Emergency Medical Service call handlers, resulting in delayed arrival at scene.
METHODS: Retrospective, mixed methods study including all suspected or confirmed OHCA patients transferred to one acute hospital from its associated regional Emergency Medical Service in England from 1/7/2013 to 30/6/2014. Emergency Medical Service and hospital data, including voice recordings of EMS calls, were analysed to identify predictors of recognition of OHCA by call handlers. Logistic regression was used to explore the role of the most frequently occurring (key) indicator symptoms and characteristics in predicting a correct dispatch for patients with OHCA.
RESULTS: A total of 39,136 dispatches were made which resulted in transfer to the hospital within the study period, including 184 patients with OHCA. The use of the term 'Unconscious' plus one or more of symptoms 'Not breathing/Ineffective breathing/Noisy breathing' occurred in 79.8% of all OHCAs, but only 72.8% of OHCAs were correctly dispatched as such. 'Not breathing' was associated with recognition of OHCA by call handlers (Odds Ratio (OR) 3.76). The presence of key indicator symptoms 'Breathing' (OR 0.29), 'Reduced or fluctuating level of consciousness' (OR 0.24), abnormal pulse/heart rate (OR 0.26) and the characteristic 'Female patient' (OR 0.40) were associated with lack of recognition of OHCA by call handlers (p-values < 0.05).
CONCLUSIONS: There is a small proportion of calls in which cardiac arrest indicators are described but the call is not dispatched as such. Stricter adherence to dispatch protocols may improve call handlers' OHCA recognition. The existing dispatch protocol would not be improved by the addition of further terms as this would be at the expense of dispatch specificity.

Entities:  

Keywords:  Diagnostic accuracy; Emergency medical dispatch; Out-of-hospital cardiac arrest; Symptom recognition

Mesh:

Year:  2021        PMID: 33407699      PMCID: PMC7789721          DOI: 10.1186/s13049-020-00823-9

Source DB:  PubMed          Journal:  Scand J Trauma Resusc Emerg Med        ISSN: 1757-7241            Impact factor:   2.953


  30 in total

1.  European Resuscitation Council Guidelines for Resuscitation 2015: Section 2. Adult basic life support and automated external defibrillation.

Authors:  Gavin D Perkins; Anthony J Handley; Rudolph W Koster; Maaret Castrén; Michael A Smyth; Theresa Olasveengen; Koenraad G Monsieurs; Violetta Raffay; Jan-Thorsten Gräsner; Volker Wenzel; Giuseppe Ristagno; Jasmeet Soar
Journal:  Resuscitation       Date:  2015-10-15       Impact factor: 5.262

2.  Importance of the first link: description and recognition of an out-of-hospital cardiac arrest in an emergency call.

Authors:  Jocelyn Berdowski; Freerk Beekhuis; Aeilko H Zwinderman; Jan G P Tijssen; Rudolph W Koster
Journal:  Circulation       Date:  2009-04-06       Impact factor: 29.690

3.  Epidemiology and outcomes from out-of-hospital cardiac arrests in England.

Authors:  Claire Hawkes; Scott Booth; Chen Ji; Samantha J Brace-McDonnell; Andrew Whittington; James Mapstone; Matthew W Cooke; Charles D Deakin; Chris P Gale; Rachael Fothergill; Jerry P Nolan; Nigel Rees; Jasmeet Soar; A Niroshan Siriwardena; Terry P Brown; Gavin D Perkins
Journal:  Resuscitation       Date:  2016-11-17       Impact factor: 5.262

Review 4.  Global incidences of out-of-hospital cardiac arrest and survival rates: Systematic review of 67 prospective studies.

Authors:  Jocelyn Berdowski; Robert A Berg; Jan G P Tijssen; Rudolph W Koster
Journal:  Resuscitation       Date:  2010-09-09       Impact factor: 5.262

5.  Targeted simulation and education to improve cardiac arrest recognition and telephone assisted CPR in an emergency medical communication centre.

Authors:  Camilla Hardeland; Christiane Skåre; Jo Kramer-Johansen; Tonje S Birkenes; Helge Myklebust; Andreas E Hansen; Kjetil Sunde; Theresa M Olasveengen
Journal:  Resuscitation       Date:  2017-02-21       Impact factor: 5.262

6.  Out-of-hospital cardiac arrest--the relevance of heart failure. The Maastricht Circulatory Arrest Registry.

Authors:  Anton P M Gorgels; Claudia Gijsbers; Jacqueline de Vreede-Swagemakers; Aimee Lousberg; Hein J J Wellens
Journal:  Eur Heart J       Date:  2003-07       Impact factor: 29.983

7.  The obstacles to maximising the impact of public access defibrillation: an assessment of the dispatch mechanism for out-of-hospital cardiac arrest.

Authors:  K J Cairns; A J Hamilton; A H Marshall; M J Moore; A A J Adgey; F Kee
Journal:  Heart       Date:  2007-05-31       Impact factor: 5.994

8.  'Is he awake?': dialogues between callers and call handlers about consciousness during emergency calls for suspected acute stroke.

Authors:  Josephine M E Gibson; Mike Bullock; Gary A Ford; Stephanie P Jones; Michael J Leathley; Joanna J McAdam; Tom Quinn; Caroline L Watkins
Journal:  Emerg Med J       Date:  2012-06-22       Impact factor: 2.740

9.  STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les Irwig; Jeroen G Lijmer; David Moher; Drummond Rennie; Henrica C W de Vet; Herbert Y Kressel; Nader Rifai; Robert M Golub; Douglas G Altman; Lotty Hooft; Daniël A Korevaar; Jérémie F Cohen
Journal:  BMJ       Date:  2015-10-28

10.  European Resuscitation Council Guidelines for Resuscitation 2010 Section 2. Adult basic life support and use of automated external defibrillators.

Authors:  Rudolph W Koster; Michael A Baubin; Leo L Bossaert; Antonio Caballero; Pascal Cassan; Maaret Castrén; Cristina Granja; Anthony J Handley; Koenraad G Monsieurs; Gavin D Perkins; Violetta Raffay; Claudio Sandroni
Journal:  Resuscitation       Date:  2010-10       Impact factor: 5.262

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  2 in total

1.  Artificial intelligence in Emergency Medical Services dispatching: assessing the potential impact of an automatic speech recognition software on stroke detection taking the Capital Region of Denmark as case in point.

Authors:  Mirjam Lisa Scholz; Helle Collatz-Christensen; Stig Nikolaj Fasmer Blomberg; Simone Boebel; Jeske Verhoeven; Thomas Krafft
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2022-05-12       Impact factor: 3.803

Review 2.  Features of Emergency Medical System calls that facilitate or inhibit Emergency Medical Dispatcher recognition that a patient is in, or at imminent risk of, cardiac arrest: A systematic mixed studies review.

Authors:  Kim Kirby; Sarah Voss; Emma Bird; Jonathan Benger
Journal:  Resusc Plus       Date:  2021-11-18
  2 in total

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