A Push-to-Talk Application as an Inter-Professional Communication Tool in an Emergency Department During the COVID-19 Pandemic

References

• Chan JF-W, Yuan S, Kok K-H, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet. 2020;395(10223):514–523. doi:10.1016/S0140-6736(20)30154-9
   PubMed Web of Science ®Google Scholar
• Guo Y-R, Cao Q-D, Hong Z-S, et al. The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak: an update on the status. Mil Med Res. 2020;7:1–10. doi:10.1186/s40779-019-0229-2
   PubMed Web of Science ®Google Scholar
• Nishiura H, Kobayashi T, Miyama T, et al. Estimation of the asymptomatic ratio of novel coronavirus infections (COVID-19). Int J Infect Dis. 2020;94:154–155. doi:10.1016/j.ijid.2020.03.020
   PubMed Web of Science ®Google Scholar
• Mizumoto K, Kagaya K, Zarebski A, et al. Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020. Euro Surveill. 2020;25:2000180. doi:10.2807/1560-7917.ES.2020.25.10.2000180
   PubMedGoogle Scholar
• Siordia JA. Epidemiology and clinical features of COVID-19: a review of current literature. J Clin Virol. 2020;127:104357. doi:10.1016/j.jcv.2020.104357
   PubMed Web of Science ®Google Scholar
• Chavez S, Long B, Koyfman A, et al. Coronavirus disease (COVID-19): a primer for emergency physicians. Am J Emerg Med. 2020. doi:10.1016/j.ajem.2020.03.036
   Web of Science ®Google Scholar
• Wang D, Hu B, Hu C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323:1061–1069. doi:10.1001/jama.2020.1585
   PubMed Web of Science ®Google Scholar
• Przybylo JA, Wang A, Loftus P, et al. Smarter hospital communication: secure smartphone text messaging improves provider satisfaction and perception of efficacy, workflow. J Hosp Med. 2014;9:573–578. doi:10.1002/jhm.2228
   PubMed Web of Science ®Google Scholar
• Patel B, Johnston M, Cookson N, et al. Interprofessional communication of clinicians using a mobile phone app: a randomized crossover trial using simulated patients. J Med Internet Res. 2016;18(4):e79–e. doi:10.2196/jmir.4854
   PubMed Web of Science ®Google Scholar
• O’Connor C, Friedrich JO, Scales DC, et al. The use of wireless e-mail to improve healthcare team communication. J Am Med Inform Assoc. 2009;16:705–713. doi:10.1197/jamia.M2299
   PubMed Web of Science ®Google Scholar
• Cooney HJ, Banbury HE, Plunkett AC. Impact of a hands-free wireless communication device on communication and clinical outcomes in a pediatric intensive care. Pediatr Qual Saf. 2018;3:e074–e. doi:10.1097/pq9.0000000000000074
   Google Scholar
• Richards JD, Harris T. Beam me up Scotty! Impact of personal wireless communication devices in the emergency department. Emerg Med J. 2011;28:29–32. doi:10.1136/emj.2009.082370
   Web of Science ®Google Scholar
• Shaarani I, El-Kantar A, Hamzeh N, et al. Interprofessional communication of physicians using whatsapp: physicians’ perspective. Telemed J E Health. 2020;26(10):1257–1264. doi:10.1089/tmj.2019.0216
   PubMed Web of Science ®Google Scholar
• Mircioiu C, Atkinson J. A: comparison of parametric and non-parametric methods applied to a Likert scale. Pharmacy (Basel). 2017;5:26. doi:10.3390/pharmacy5020026
   Google Scholar
• Spencer R, Coiera E, Logan P. Variation in communication loads on clinical staff in the emergency department. Ann Emerg Med. 2004;44:268–273. doi:10.1016/j.annemergmed.2004.04.006
   PubMed Web of Science ®Google Scholar
• Calhoun AW, Boone MC, Porter MB, et al. Using simulation to address hierarchy-related errors in medical practice. Perm J. 2014;18:14–20. doi:10.7812/TPP/13-124
   PubMedGoogle Scholar
• Jung D, Carman M, Aga R, et al. Disaster preparedness in the emergency department using in situ simulation. Adv Emerg Nurs J. 2016;38:56–68. doi:10.1097/TME.0000000000000091
   Google Scholar
• Peiffer-Smadja N, Lucet J-C, Bendjelloul G, et al. Challenges and issues about organising a hospital to respond to the COVID-19 outbreak: experience from a French reference centre. Clin Microbiol Infect. 2020:S1198-743X(20)30187-7.
   Web of Science ®Google Scholar
• El-Khatib Z, Shah M, Zallappa SN, et al. SMS-based smartphone application for disease surveillance has doubled completeness and timeliness in a limited-resource setting: evaluation of a 15-week pilot program in Central African Republic (CAR). Confl Health. 2018;12:42. doi:10.1186/s13031-018-0177-6
   Web of Science ®Google Scholar
• Mossa-Basha M, Meltzer CC, Kim DC, et al. Radiology department preparedness for COVID-19: radiology scientific expert panel. Radiology. 2020:200988.
   Web of Science ®Google Scholar
• Visentin LM, Bondy SJ, Schwartz B, et al. Use of personal protective equipment during infectious disease outbreak and nonoutbreak conditions: a survey of emergency medical technicians. Cjem. 2009;11:44–56. doi:10.1017/S1481803500010915
   Google Scholar
• Zello.com. Are voice messages encrypted in Zello? United States; 2017 [cited August 18, 2020]. Available from: https://support.zello.com/hc/en-us/articles/230747707-Are-voice-messages-encrypted-in-Zello-. Accessed May 8, 2021.
   Google Scholar
• Banham-Hall E, Stevens S. Hindsight bias critically impacts on clinicians’ assessment of care quality in retrospective case note review. Clin Med (Lond). 2019;19:16–21. doi:10.7861/clinmedicine.19-1-16
   PubMed Web of Science ®Google Scholar
• Dunsch F, Evans DK, Macis M, et al. Bias in patient satisfaction surveys: a threat to measuring healthcare quality. BMJ Glob Health. 2018;3:e000694–e. doi:10.1136/bmjgh-2017-000694
   PubMed Web of Science ®Google Scholar