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A Randomized Trial Comparing Telephone Tree, Text Messaging, and Instant Messaging App for Emergency Department Staff Recall for Disaster Response

Published online by Cambridge University Press:  31 October 2018

Valerie Homier*
Affiliation:
Department of Emergency Medicine, McGill University Health Centre, Montreal, Québec, Canada
Raphael Hamad
Affiliation:
Université de Montréal Medical School, Montreal, Québec, Canada
Josée Larocque
Affiliation:
Department of Emergency Medicine, McGill University Health Centre, Montreal, Québec, Canada
Pierre Chassé
Affiliation:
Department of Emergency Medicine, McGill University Health Centre, Montreal, Québec, Canada
Elene Khalil
Affiliation:
Pediatric Emergency Medicine, Montreal Children’s Hospital, Montreal, Québec, Canada
Jeffrey M. Franc
Affiliation:
University of Alberta, Edmonton, Alberta, Canada Universita’ del Piemonte Orientale, Novara, Italy
*
Correspondence: Valerie Homier, MD, MSc DM, FRCPC Department of Emergency Medicine McGill University Health Centre 1001 Decarie Boulevard, Room CS1.6216 Montréal, (Québec) Canada, H4A 3J1 E-mail: valerie.homier@mcgill.ca

Abstract

Introduction

A crucial component of a hospital’s disaster plan is an efficient staff recall communication method. Many hospitals use a “calling tree” protocol to contact staff members and recall them to work. Alternative staff recall methods have been proposed and explored.

Methods

An unannounced, multidisciplinary, randomized emergency department (ED) staff recall drill was conducted at night - when there is the greatest need for back-up personnel and staff is most difficult to reach. The drill was performed on December 14, 2017 at 4:00am and involved ED staff members from three hospitals which are all part of the McGill University Health Centre (MUHC; Montreal, Quebec, Canada). Three tools were compared: manual phone tree, instant messaging application (IMA), and custom-made hospital Short Message Service (SMS) system. The key outcome measures were proportion of responses at 45 minutes and median response time.

Results

One-hundred thirty-two participants were recruited. There were 44 participants in each group after randomization. In the manual phone tree group, 18 (41%) responded within 45 minutes. In the IMA group, 11 participants (25%) responded in the first 45 minutes. In the SMS group, seven participants responded in the first 45 minutes (16%). Manual phone tree was significantly better than SMS with an effect size of 25% (95% confidence interval for effect: 4.6% to 45.0%; P=.018). Conversely, there was no significant difference between manual phone tree and IMA with an effect size of 16% (95% confidence interval for effect: −5.7% to 38.0%; P=.17) There was a statistically significant difference in the median response time between the three groups with the phone tree group presenting the lowest median response time (8.5 minutes; range: 2.0 to 8.5 minutes; P=.000006).

Conclusion:

Both the phone tree and IMA groups had a significantly higher response rate than the SMS group. There was no significant difference between the proportion of responses at 45 minutes in the phone tree and the IMA arms. This study suggests that an IMA may be a viable alternative to the traditional phone tree method. Limitations of the study include volunteer bias and the fact that there was only one communication drill, which did not allow staff members randomized to the IMA and SMS groups to fully get familiar with the new staff recall methods.

HomierV, HamadR, LarocqueJ, ChasséP, KhalilE, FrancJM.A Randomized Trial Comparing Telephone Tree, Text Messaging, and Instant Messaging App for Emergency Department Staff Recall for Disaster Response. Prehosp Disaster Med. 2018;33(5):471–477.

Type
Original Research
Copyright
© World Association for Disaster and Emergency Medicine 2018 

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Footnotes

Conflicts of interest: none

References

1. Borel, M, Le Saché, F, Pariente, D, et al. Retour d’expérience des attentats du 13 novembre 2015. Rôle d’un hôpital disposant d’un centre de traumatologie. Annales Françaises de Médecine d’Urgence. 2016;6:22-30.Google Scholar
2. Goldman, M, Anderson, T, Zehtabchi, S, Arquilla, B. Testing hospital disaster communication plan has immense value. Disaster Manag Response. 2007;5(2):27.Google Scholar
3. Tesnière, M, Matonnier, A, Riss, C, Gabilly, L, Habold, D. Le rappel des personnels du SAMU en situation exceptionnelle. Annales Françaises de Médecine d’Urgence. 2012;2:93-96.Google Scholar
4. Kudo, D, Furukama, H, Nakagawa, A, et al. Reliability of telecommunications systems following a major disaster: survey of secondary and tertiary emergency institutions in Miyagi Prefecture during the acute phase of the 2011 Great East Japan Earthquake. Prehosp Disaster Med. 2014;29(2):204-208.Google Scholar
5. Epstein, RH, Ekbatani, A, Kaplan, J, Shecter, R, Grunwald, Z. Development of a staff recall system for mass casualty incidents using cell phone text messaging. Anesth Analg. 2010;100(3):871-878.Google Scholar
6. Laskowski, LK, Cruz, G, Sila, SW. Emergent communication networks during disaster: an app for that. Disaster Med Public Health Prep. 2013;7(4):346-347.Google Scholar
7. Morris, SC, Pelley, JK, Mitchell, SH. Using a novel technology for disaster staff notification. J Emerg Manag. 2016;14(6):431-433.Google Scholar
8. Garshnek, V, Burkle, FM. Telecommunications systems in support of disaster medicine: applications of basic information pathways. Ann Emerg Med. 1999;34(2):213-218.Google Scholar
9. Chan, TC, Killeen, J, Griswold, W, Lenert, L. Information technology and emergency medical care during disasters. Acad Emerg Med. 2004;11(11):1229-1236.Google Scholar
10. Timier, D, Bogusiak, K, Kasieslka-Trojan, A, Neskoromna-Jedrzrejczak, A, Galazkowski, R, Szarpak, L. Short text messages (SMS) as an additional tool for notifying medical staff in case of a hospital mass casualty incident. Disaster Med Public Health Prep. 2016;10(1):38-41.Google Scholar
11. Murray, MJ. Communicating during a disaster. Anesth Analg. 2010;110(3):657-658.Google Scholar
12. Haahr, M. Random sequence generator website. School of Computer Science and Statistics at Trinity College, Dublin. Currently: Randomness and Integrity Services Ltd. https://www.random.org/ sequences/?mode=advanced. Accessed June 20, 2017.Google Scholar