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A Pilot of a UK Emergency Medical Team (EMT) Medical Record During a Deployment Training Course

Published online by Cambridge University Press:  02 July 2018

Anisa J.N. Jafar ,
Rachel J. Fletcher ,
Fiona Lecky  and
Anthony D. Redmond
Anisa J.N. Jafar*
Affiliation:
Humanitarian and Conflict Response Institute (HCRI), Ellen Wilkinson Building, University of Manchester, Manchester, United Kingdom
Rachel J. Fletcher
Affiliation:
UK-Med (UK EMT), Ellen Wilkinson Building, University of Manchester, Manchester, United Kingdom
Fiona Lecky
Affiliation:
EMRiS Group, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom
Anthony D. Redmond
Affiliation:
Humanitarian and Conflict Response Institute (HCRI), Ellen Wilkinson Building, University of Manchester, Manchester, United Kingdom
*
Correspondence: Anisa J.N. Jafar, MBChB(e), MPH Humanitarian and Conflict Response Institute Ellen Wilkinson Building University of Manchester Devas Street, Manchester, M13 9PT E-mail: [email protected]
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Abstract

Introduction

Improving medical record keeping is a key part of the World Health Organization’s (WHO’s; Geneva, Switzerland) drive to standardize and evaluate emergency medical team (EMT) response to sudden onset disasters (SODs).

Problem

In response to the WHO initiative, the UK EMT is redeveloping its medical record template in line with the WHO minimum dataset (MDS) for daily reporting. When changing a medical record, it is important to understand how well it functions before it is implemented.

Methods

The redeveloped medical record was piloted at a UK EMT deployment course using simulated patients in order to examine ease of use by practitioners, and rates of data capture for key MDS variables.

Results

Some parts of the form were consistently poorly filled in, and the way in which the form was completed suggested that the flow of the form did not align with the recorder’s natural thought processes when under pressure.

Conclusion:

Piloting of a single-sheet triplicate medical record during an EMT deployment simulation led to significant modifications to improve data capture and function.

Jafar AJN, Fletcher RJ, Lecky F, Redmond AD. A pilot of a UK emergency medical team (EMT) medical record during a deployment training course. Prehosp Disaster Med. 2018;33(4):441–447.

Keywords

disastersmedical recordssimulation training
Type
Brief Report
Information
Prehospital and Disaster Medicine , Volume 33 , Issue 4 , August 2018 , pp. 441 - 447
Copyright
© World Association for Disaster and Emergency Medicine 2018 

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Footnotes

Conflicts of interest/funding: Anisa Jafar and Rachel Fletcher provide consultancy to UK-Med (Manchester, United Kingdom). Anthony Redmond is Chair of UK-Med. Anisa Jafar is funded by Hong Kong Jockey Club Charities Trust (Hong Kong).

References

1. World Health Organization. Emergency Medical Teams and World Health Organization. World Health Organization Web site. http://www.who.int/hac/techguidance/preparedness/emergency_medical_teams/en/. Accessed April 18, 2017.Google Scholar
2. Kubo, T. The EMT Minimum Data Set Recommendation by the WG. Paper presented at: The WHO EMT Global Meeting; November 28-30, 2016; Hong Kong.Google Scholar
3. Global Health Cluster. Classification and minimum standards for foreign medical teams in sudden onset disasters 2013. http://www.who.int/hac/global_health_cluster/fmt_guidelines_september2013.pdf. Accessed April 18, 2017.Google Scholar
4. Jafar, AJ, Norton, I, Lecky, F, Redmond, AD. A literature review of medical record keeping by foreign medical teams in sudden onset disasters. Prehosp Disaster Med. 2015;30(2):216-222.Google Scholar
5. Kurtz, S, Silverman, J, Benson, J, Draper, J. Marrying content and process in clinical method teaching: enhancing the Calgary-Cambridge guides. Acad Med. 2003;78(8):802-809.Google Scholar
6. Mogeni, P, Twahir, H, Bandika, V, et al. Diagnostic performance of visible severe wasting for identifying severe acute malnutrition in children admitted to hospital in Kenya. Bull World Health Organ. 2011;89(12):900-906.Google Scholar
7. Kristensen, M, Kyng, M, Palen, L. Participatory design in Emergency Medical Service: designing for future practice. Paper presented at the SIGCHI Conference on Human Factors in Computing Systems; April 22 - 27, 2006; Montreal, Quebec, Canada.Google Scholar
8. Li, J, Wilson, L, Stapleton, S, Cregan, P. Design of an advanced telemedicine system for emergency care. Presented at the 18th Australia Conference on Computer-Human Interaction: Design: Activities, Artefacts, and Environments; November 20 - 24, 2006; Sydney, Australia.Google Scholar
9. Kujala, S. User involvement: a review of the benefits and challenges. Behaviour & Information Technology. 2003;22(1):1-16.Google Scholar