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Optimizing stress in breaking bad news: a randomized controlled trial on the psychophysiological effects of stress arousal reappraisal and worked-example interventions among medical students

Breaking bad news (BBN) is among the most distressing communication tasks in the medical field, wherein physicians disclose serious diagnoses to their patients. Under stress, physicians may resort to maladaptive communication behaviors, potentially affecting patient’s health in the long-term. Therefore, it is essential to support medical professionals in effectively managing their stress responses early in their careers. Using the biopsychosocial model of challenge and threat as theoretical framework, we employed a 2 x 2 study design to examine the effects of stress arousal reappraisal (SAR; i.e., reinterpretation of bodily changes as functional coping resources) and worked example (WE; i.e., step-by-step demonstration of how to BBN) interventions on demand and resource appraisals and cardiovascular responses of 229 medical students engaged in simulated BBN encounters. Participants who prepared with WE reported more coping resources relative to demands after the BBN encounter than participants not preparing with WE. Participants receiving SAR instructions exhibited improved cardiovascular responses during the BBN task, indicated by increased cardiac output and decreased total peripheral resistance, than participants not receiving SAR instructions. These findings align with the notion that both interventions facilitate a shift from a threat to a challenge state, supporting their potential for integration into BBN training.

A randomized controlled trial evaluating stress arousal reappraisal and worked example effects on psychophysiological responses during breaking bad news

Breaking bad news (BBN) is among the most distressing communication tasks in the medical field, wherein physicians disclose serious diagnoses to their patients. Under stress, physicians may resort to maladaptive communication behaviors, potentially affecting patient’s health in the long term. Therefore, it is essential to support medical professionals in effectively managing their stress responses early in their careers. Using the biopsychosocial model of challenge and threat as theoretical framework, we employed a 2 × 2 study design to examine the effects of stress arousal reappraisal (SAR; i.e., reinterpretation of bodily changes as functional coping resources) and worked example (WE; i.e., step-by-step demonstration of how to BBN) interventions on demand and resource appraisals and cardiovascular responses of 229 medical students engaged in simulated BBN encounters. Participants who prepared with WE reported more coping resources relative to demands after the BBN encounter than participants not preparing with WE. Participants receiving SAR instructions exhibited improved cardiovascular responses during the BBN task, as indicated by increased cardiac output and decreased total peripheral resistance, than participants not receiving SAR instructions. These findings align with the notion that both interventions facilitate a shift from a threat to a challenge state, supporting their potential for integration into BBN training.

Exploring the psychophysiological predictors of performance under stress: insights from a machine learning approach

Psychological and physiological responses co-occur during stressful tasks and jointly influence performance. Yet, research on stress–performance links often focuses on single parameters in isolation, overlooking their interrelations. The current study addressed this gap using machine learning—specifically random forest regression—to identify key psychophysiological predictors of communication performance when considered simultaneously. Participants were 229 medical students who engaged in breaking bad news encounters with simulated patients. We assessed neuroendocrine and cardiovascular activity, mood states, emotion regulation strategies and stress appraisals as predictors and communication performance as the outcome. Results revealed suppression of unpleasant feelings as the strongest predictor, with greater suppression linked to poorer performance. Physiologically, better performance was associated with moderate decreases in heart rate variability, increases in cortisol and decreases in stroke volume. Analysis of joint effects indicated that suppression was especially detrimental under high physiological reactivity and among lower-performing individuals, suggesting cognitive overload under these conditions. The findings pinpoint suppression of unpleasant feelings as a maladaptive stress coping strategy, while physiological stress responses within the observed ranges appeared to enhance performance. Ultimately, addressing maladaptive emotion regulation and leveraging assessable physiological indicators—particularly heart rate variability reactivity—could inform training programmes to improve performance under stress.