Comparing the stress response using heart rate variability during real and simulated crises: a pilot study.

Medical personnel often experience stress when responding to a medical emergency. A known stress-response is a measurable reduction in heart rate variability. It is currently unknown if crisis simulation can elicit the same stress response as real clinical emergencies. We aim to compare heart rate variability changes amongst medical trainees during simulated and real medical emergencies. We performed a single center prospective observational study, enrolling 19 resident physicians. Heart rate variability was measured in real time, using a 2-lead heart rate monitor (Bodyguard 2, Firstbeat Technologies Ltd) worn during 24 h critical care call shifts. Data was collected at baseline, during crisis simulation and when responding to medical emergencies. 57 observations were made to compare participant's heart rate variability. Each heart rate variability metric changed as expected in response to stress. Statistically significant differences were observed between baseline and simulated medical emergencies in Standard Deviation of the N-N interval (SDNN), Root mean square standard deviation of the N-N interval (RMSSD), Percentage of successive R-R intervals that differ by more than 50 ms (PNN50), Low Frequency (LF) and Low Frequency: High Frequency ratios (LF:HF). No statistically significant differences between simulated and real medical emergencies were identified in any heart rate variability metrics. We have shown using objective results, that simulation can elicit the same psychophysiological response as actual medical emergencies. Therefore, simulation may represent a reasonable way to practice not only essential skills in a safe environment but has the additional benefit of creating a realistic, physiological response in medical trainees.

A Systematic Review of Heart Rate Variability as a Measure of Stress in Medical Professionals.

Understanding the physiological effects of responding to crises is a critical component in understanding how to manage and prepare medical professionals to be crisis responders. Heart rate variability (HRV) is the variation in rate between a succession of R-R intervals. This variation is not only affected by physiological processes such as respiration or metabolic rate but is also directly controlled by the autonomic nervous system. As such, heart rate variability has been proposed as a noninvasive tool to measure the physiological stress response. The aim of this systematic review is to consolidate heart rate variability literature in the context of medical emergencies to determine if heart rate variability changes predictably from baseline when responding to medical crises. This may demonstrate utility as an objective, noninvasive measure of stress response. A systematic literature review of six databases yielded 413 articles, 17 of which met our inclusion criteria of being written in English, measuring HRV in healthcare providers, and measuring HRV in real or simulated medical resuscitations or procedures. Articles were then analyzed using the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) scoring system. Out of the 17 articles reviewed, 11 demonstrated statistically significant results showing heart rate variability responding in a predictable manner to stress. Three articles utilized a medical simulation as the stressor, six used medical procedures, and eight used medical emergencies encountered during clinical work. Overall, a predictable trend in heart rate variability metrics of standard deviation from the mean value of normal-to-normal (N-N) intervals (SDNN), root mean square of the successive differences (RMSSD), mean number of times per time interval in which the change in successive normal sinus (N-N) intervals exceeds 50 ms (PNN50), low frequency % (LF%), and low-frequency-to-high-frequency ratio (LF/HF) was observed when responding to stress. This systematic literature review showed that heart rate variability among healthcare providers responding to stressful scenarios follows a predictable pattern of change and expands our understanding of the physiology of stress in healthcare providers. This review supports the use of HRV to monitor stress during high-fidelity simulation to ensure that appropriate physiological arousal is achieved during the training of medical personnel.

A cross-sectional study evaluating the relationship between followership type and burnout amongst critical care followers.

INTRODUCTION: Healthcare teams include both leaders and followers, with followers making up the majority of the healthcare team. There are five followership styles which have been described by Kelly (1992) based on critical thinking and active engagement. We aim to explore if a relationship exists between followership style and burnout, and also with job satisfaction of followers within the critical care setting. Additionally, we aim to quantify the distribution of followership types amongst followers within the critical care setting. METHODS: Participants were recruited in person at random to participate in a single centered, cross sectional, four-part survey to determine their followership type (Kelly followership type), burnout (Maslach Burnout Inventory) and job satisfaction (Brayfiled-Rothe Survey and Work and Meaning Inventory). Correlations between followership type and burnout as well as followership type and job satisfaction were then determined. RESULTS: A total of 64 participants (27 residents and 37 critical care nurses) took part in the study. There was a weak-moderate correlation between independent critical thinking and personal accomplishment (R = 0.297), and moderate correlation to meaningful work (R = 0.390), and job satisfaction (R = -0.300). Active engagement was moderately correlated with personal accomplishment (R = 0.302), meaningful work (R = 0.448) and job satisfaction (R = -0.418). Neither independent critical thinking nor active engagement showed significant correlation with depersonalization and emotional exhaustion subscales. Most participants were characterized into effective/exemplary followership type with no statistically significant differences between nurses and residents. CONCLUSION: This research shows that by creating an environment which promotes critical thinking and active engagement, nurses and residents may display less burnout, and enhanced job satisfaction.