Riouetal2017

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Riouetal2017
BibType ARTICLE
Key Riouetal2017
Author(s) M. Riou, A. Whiteside, S. Ball, T. Williams, KL O'Halloran, G.D. Perkins, J. Bray, P. Cameron, K. Smith, D.M. Fatovich, M. Inoue, D. Brink, P. Bailey, J. Finn
Title ‘Tell me what’s happened’: when linguistic choices affect efficiency of ambulance dispatch for cardiac arrest
Editor(s)
Tag(s) EMCA, Medical, Emergency Calls, Applied
Publisher
Year 2017
Language
City
Month
Journal BMJ Open
Volume 7
Number 3
Pages
URL Link
DOI http://dx.doi.org/10.1136/bmjopen-2017-EMSabstracts.18
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

Aim Clear and efficient communication between emergency caller and call-taker is crucial to timely ambulance dispatch. Within the Medical Priority Dispatch System,1 the first opportunity that callers have of describing the situation is after the scripted prompt “okay, tell me exactly what happened”. However, in 60% cases, call-takers introduce a slight linguistic variation (what’s happened v. what happened). This study analyses the effect of this change on the way callers describe the emergency.

Methods Using a mixed-methods analysis combining Conversation Analysis and Corpus Linguistics, we analysed 184 calls from paramedic-confirmed out-of-hospital cardiac arrests in Perth (Western Australia) in 2014–2015. We coded each call for its use of tense in the prompt and the format of the response as either a report (focusing on symptoms) or a narrative2 (containing irrelevant background details) and we timed the callers’ responses.

Results The use of report response was much more frequent when call-takers chose the present perfect (what’s happened) rather than the simple past (what happened) (72% v. 43%, p<0.0001). We found that the median length of caller response was significantly shorter when it was structured as a report rather than a narrative (9 v. 18 s, p<0.0001). Reports unfolded more efficiently over a median of 3 turns (v. 6 for narratives, p<0.0001).

Conclusion A change of tense can impact how efficiently callers describe a time-critical emergency. Our results suggest that a better understanding of linguistic and interactional dynamics can improve dispatch performance.

Notes