Education; high-fidelity simulation; Leeds Sleep Evaluation Questionnaire; sleep disturbance; Emergency Medicine; Anesthesiology and Pain Medicine; General Agricultural and Biological Sciences; Computer Science Applications; Linguistics and Language; Language and Linguistics; Plant Science; Agronomy and Crop Science; Forestry; Law; Strategy and Management; Literature and Literary Theory; Visual Arts and Performing Arts; Cultural Studies; General Chemical Engineering; General Chemistry; Classics
Abstract :
[en] [en] OBJECTIVE: The stress level of participants in high-fidelity simulation stems from various factors but may result in anticipatory anxiety causing sleep disturbances during the night prior to simulation. The objective of this survey was to determine the change in sleep quality of residents during the night prior to the simulation.
METHODS: The survey was proposed for 1 year to all residents at the beginning of the simulation, in 10 simulation centres. The questionnaire combined demographics and the Leeds Sleep Evaluation Questionnaire using visual analogue scales divided into 4 sleep qualitative domains. The primary outcome was the prevalence of sleep disturbance (>10 mm on 1 domain). Secondary outcomes were the prevalence of severe sleep disturbance (>25 mm), as well as qualitatively and quantitatively reported explanatory sleep parameters.
RESULTS: Among respondents, 66% [95% CI: 63 to 69] of residents had more than 10 mm and 27% [95% CI: 24 to 30] had more than 25 mm of sleep disturbance. Residents with a sleep disturbance of more than 10 mm had fewer hours of sleep (6.4 [standard deviation=1.8] vs 7.3 [standard deviation=1.3], difference: -0.9 [95% CI: -1.1 to -0.7]; P < .0001), with a higher number of night-time awakenings (1.3 [standard deviation=1.5] vs 0.7 [standard deviation=0.9], difference: 0.6 [95% CI: 0.4 to 0.8]; P < .0001).
CONCLUSION: Among residents participating in the simulation, a high prevalence of change in sleep quality during the night before the simulation was noted. Strategies to help residents achieve better sleep prior to simulation should be explored.
Disciplines :
Anesthesia & intensive care
Author, co-author :
Calmettes, Marion; Department of Anaesthesiology and Reanimation, Hospices Civils de Lyon, Lyon, France
Denoyel, Lucas; Lyonnais Center for Education by Simulation in Health, Claude Bernard Lyon 1 University, SAMSEI, Lyon, France
Duclos, Antoine; Department of Health Data, Hospices Civils de Lyon, Lyon, France, Research on Healthcare Performance (RESHAPE), Claude Bernard Lyon 1 University, Lyon, France
Lejus-Bourdeau, Corinne; Department of Anaesthesia and Surgical Resuscitation, Hôtel Dieu, Nantes University Hospital, Nantes, France
Blanié, Antonia; Department of Anaesthesiology and Surgical Resuscitation, CHU Bicêtre LabForSIMS Faculty of Medicine, Paris-Sud, Le Kremlin Bicêtre, France
Forestier, Caroline; CEnSIM Savoie Emergency Care - Savoie Simulation Education Center, Savoie Metropole Hospital Center, France
Ciceron, Floriane; Medsim Simulation Center, University of Franche Comté, France
Mattatia, Laurent; Department of Anaesthesia, Reanimation and Pain Emergency, SIMHU-Nîmes Medical Simulation Center, Carémeau Hospital Group, Nîmes University Hospital, France
BULEON, Clément ; Centre Hospitalier Universitaire de Liège - CHU > > Service des urgences ; Normandy Health Simulation Center (NorSimS), Caen University Hospital, France
Damm, Cédric; Emergency Care Teaching Center, CESU, University Hospital Center of Rouen, France
Mahoudeau, Gilles; UNISIMES European Health Simulation Unit, Strasbourg University Faculty of Medicine, France
Lehot, Jean-Jacques; Department of Anaesthesiology and Reanimation, Hospices Civils de Lyon, Lyon, France, Lyonnais Center for Education by Simulation in Health, Claude Bernard Lyon 1 University, SAMSEI, Lyon, France, Research on Healthcare Performance (RESHAPE), Claude Bernard Lyon 1 University, Lyon, France
Rimmelé, Thomas; Department of Anaesthesiology and Reanimation, Hospices Civils de Lyon, Lyon, France, Lyonnais Center for Education by Simulation in Health, Claude Bernard Lyon 1 University, SAMSEI, Lyon, France, University of Claude Bernard Lyon 1-Bio mericux-Hospices Civils de Lyon, Lyon, France
Lilot, Marc; Department of Anaesthesiology and Reanimation, Hospices Civils de Lyon, Lyon, France, Lyonnais Center for Education by Simulation in Health, Claude Bernard Lyon 1 University, SAMSEI, Lyon, France, Research on Healthcare Performance (RESHAPE), Claude Bernard Lyon 1 University, Lyon, France
Ruesseler M, Weinlich M, Müller MP, Byhahn C, Marzi I, Walcher F. Simulation training improves ability to manage medical emergencies. Emerg Med J. 2010;27(10):734-738. [CrossRef]
Keitel A, Ringleb M, Schwartges I, et al. Endocrine and psychological stress responses in a simulated emergency situation. Psychoneuroendocrinology. 2011;36(1):98-108. [CrossRef]
Bauer C, Rimmelé T, Duclos A, et al. Anxiety and stress among anaesthesiology and critical care residents during high-fidelity simulation sessions. Anaesth Crit Care Pain Med. 2016;35(6):407-416. [CrossRef]
Morin CM, Rodrigue S, Ivers H. Role of stress, arousal, and coping skills in primary insomnia. Psychosom Med. 2003;65(2):259-267. [CrossRef]
Pérez-Olmos I, Ibáñez-Pinilla M. Night shifts, sleep depriva-tion, and attention performance in medical students. Int J Med Educ. 2014;5:56-62. [CrossRef]
Kuhn G. Circadian rhythm, shift work, and emergency medi-cine. Ann Emerg Med. 2001;37(1):88-98. [CrossRef]
Neu D, Kajosch H, Peigneux P, Verbanck P, Linkowski P, Le Bon O. Cognitive impairment in fatigue and sleepiness associ-ated conditions. Psychiatry Res. 2011;189(1):128-134. [CrossRef]
Neuschwander A, Job A, Younes A, et al. Impact of sleep deprivation on anaesthesia residents’ non-technical skills: a pilot simulation-based prospective randomized trial. Br J Anaesth. 2017;119(1):125-131. [CrossRef]
Landrigan CP, Cronin JW, Katz JT, Bates DW. Effect of reduc-ing interns’ work hours on serious medical errors in intensive care units. N Engl J Med. 2004;11:1838-48. [CrossRef]
Parrott AC, Hindmarch I. Factor analysis of a sleep evaluation questionnaire. Psychol Med. 1978;8(2):325-329. [CrossRef]
Zisapel N, Laudon M. Subjective assessment of the effects of CNS-active drugs on sleep by the Leeds sleep evaluation ques-tionnaire: a review. Hum Psychopharmacol. 2003;18(1):1-20. [CrossRef]
Tarrasch R, Laudon M, Zisapel N. Cross-cultural validation of the Leeds sleep evaluation questionnaire (LSEQ) in insomnia patients. Hum Psychopharmacol. 2003;18(8):603-610. [CrossRef]
Zisapel N, Nir T. Determination of the minimal clinically significant difference on a patient visual analog sleep quality scale. J Sleep Res. 2003;12(4):291-298. [CrossRef]
Granry JC. Guide de Bonnes Pratiques en Matière de Simulation en Santé-Recommandations Has 2012 Simulation en Santé-[Internet]. Wwwhas-Santéfr; 2012. Available at: https:// www.google.com/search?client=firefox-b-d&ei=ukg3XZO9 KcXwaNHEitAB&q=recommandations+has+2012+simul ation+en+sant%C3%A9oq=&gs_l=psy-ab.3.2.35i39l10.1 71464.173220..177579…1.0..3.314.4222.15j22j0j1..….0….1..gws-wiz.10.pn. Accessed 2019 Jul 23.
Zhang B, Wing YK. Sex differences in insomnia: a meta-anal-ysis. Sleep. 2006;29(1):85-93. [CrossRef]
Reyner LA, Horne JA, Reyner A. Gender-and age-related differences in sleep determined by home-recorded sleep logs and actimetry from 400 adults. Sleep. 1995;18(2):127-134.
Nojomi M, Ghalhe Bandi MF, Kaffashi S. Sleep pattern in medical students and residents Arch Iran Med. 2009;12(6): 542-9.
Choueiry N, Salamoun T, Jabbour H, El Osta N, Hajj A, Rab-baa Khabbaz L. Insomnia and relationship with anxiety in university students: a cross-sectional designed study. PLoS One. 2016;11(2):e0149643. [CrossRef]
Azad MC, Fraser K, Rumana N, et al. Sleep disturbances among medical students: a global perspective. J Clin Sleep Med. 2015;11(1):69-74. [CrossRef]
Wong JGWS, Patil NG, Beh SL, et al. Cultivating psychological well-being in Hong Kong’s future doctors. Med Teach. 2005;27(8):715-719. [CrossRef]
Huen L-LE, Chan T-WG, Yu W-MM, Wing Y-K. Do medical students in Hong Kong have enough sleep? Sleep Biol Rhythms. 2007;5(3):226-230. [CrossRef]
Hirshkowitz M, Whiton K, Albert SM, et al. National Sleep Foun-dation’s sleep time duration recommendations: methodology and results summary. Sleep Health. 2015;1(1):40-43. [CrossRef]
Philibert I. Sleep loss and performance in residents and non-physicians: a meta-analytic examination. Sleep. 2005;28(11):1392-1402. [CrossRef]
Embriaco N, Hraiech S, Azoulay E, et al. Symptoms of depression in ICU physicians. Ann Intensive Care. 2012;2(1):34. [CrossRef]
Wali SO, Qutah K, Abushanab L, Basamh R, Abushanab J, Krayem A. Effect of on-call-related sleep deprivation on physi-cians′ mood and alertness. Ann Thorac Med. 2013;8(1):22-27. [CrossRef]
Taylor DJ, Peterson AL, Pruiksma KE, et al. Impact of cognitive behavioral therapy for insomnia disorder on sleep and comorbid symptoms in military personnel: a randomized clini-cal trial. Sleep. 2018;41(6). [CrossRef]
Taylor DJ, Zimmerman MR, Gardner CE, et al. A pilot randomized controlled trial of the effects of cognitive-behavioral therapy for insomnia on sleep and daytime functioning in college students. Behav Ther. 2014;45(3):376-389. [CrossRef]
Smith S, Trinder J. The effect of arousals during sleep onset on estimates of sleep onset latency. J Sleep Res. 2000;9(2):129-135. [CrossRef]
Johns MW. Methods for assessing human sleep. Arch Intern Med. 1971;127(3):484-492.