MAKING MATB-II MEDICAL: Pilot testing results to determine a novel lab-based, stress-inducing task Lauren Kennedy, PhD Candidate Sarah Henrickson Parker, PhD DETRIMENTAL EFFECTS OF ACUTE STRESS DETRIMENTAL EFFECTS OF ACUTE STRESS Excessive levels of acute stress can negatively affect key cognitive processes1 Attention Working memory Memory retrieval Decision making This response can also affect performance, especially performance relying on these cognitive processes2-9 ACUTE STRESS IN APPLIED SETTINGS In healthcare, we’re still in the early days in terms of addressing acute stress management10 Cognitive reappraisal11,12 Mental practice13,14 Other high-risk industries have acknowledged and addressed the negative effects of acute stress in a variety of ways Crew Resource Management15 Mindfulness training16 The Mental Gym Project17 Cognitive-affective training18 Biofeedback19-24 BIOFEEDBACK 25 IS BIOFEEDBACK ACTUALLY EFFECTIVE? Evidence of effectiveness from lab-based studies22,24 Evidence of effectiveness from applied studies17,19-21,23,26,27 In all of these cases, either performance enhancement or stress reduction are observed and reported In most cases, both are GAP IN RESEARCH Biofeedback for acute stress management in other applied industries17,19,20 Biofeedback for chronic stress management in healthcare28 Gap: Biofeedback for acute stress management in healthcare Impaired cognition and performance decrement can mean life or death STRESS REDUCTION REQUIRES STRESS INDUCTION Need to find an appropriate, reliable, and safe way to induce stress in order to study the process of stress reduction To achieve maximal control: Must be in the lab To overcome lack of ecological validity: Must recruit cognitive processes representing those recruited by healthcare practitioners MULTI-ATTRIBUTE TASK BATTERY (MATB-II) Designed for air craft crew members and pilots Purpose: to evaluate operator performance and workload29 Reliable and appropriate for aircraft crew-members Goal: Adapt MATB-II into a task, with 2 distinct levels of difficulty, that also includes the assessment of medical knowledge MEDICALLY-FOCUSED MULTI-TASKING GAME (MFMG) MATB-II subtasks Resource management System monitoring Tracking Medical knowledge assessment Four different MFMG versions Differed by frequency of events within MATB-II subtasks EXPERIMENTAL DESIGN N = 10 medical students Subjective measures: State Trait Anxiety Inventory for Adults (STAI) NASA Task Load Index (NASA-TLX) Overall performance: MATB-II subtasks Medical knowledge assessment Objective measures: Electrocardiography (ECG) ANALYSIS Subjective measures (STAI & NASA-TLX) Average aggregated scores across conditions Overall performance (MATB-II & medical knowledge assessment) Individual score derived from assigning equal weight to each subtask Average aggregated scores across conditions Objective measures (ECG) Heart rate variability (HRV) components Cognitive workload decreases as difficulty level decreases NASA-TLX Score by Condition 100 NASA-TLX Score 90 80 70 74.3 72.2 60 61.2 63.2 MATB-C MATB-D 50 40 30 20 10 0 MATB-A MATB-B MATB-II Version Overall performance increases as difficulty level decreases Overall Performance (including medical questions) Overall Performance Score 2.0 1.8 1.6 1.4 1.2 1.0 0.8 0.6 0.4 0.2 0.0 MATB-A MATB-B MATB-C MATB-II Version MATB-D Overall performance increases as difficulty level decreases Overall Performance (excluding medical questions) Overall Performance Score 2.0 1.8 1.6 1.4 1.2 1.0 0.8 0.6 0.4 0.2 0.0 MATB-A MATB-B MATB-C MATB-II Version MATB-D PHYSIOLOGICAL MEASURES Standard deviation from normal-to-normal (SDNN) Measure of overall variation of normal consecutive R-R intervals Percentage of normal-to-normal 50 (pNN50) Measure of the fraction of normal consecutive R-R intervals that differ by more than 50 ms Root mean square of the successive differences (RMSSD) Measure of beat-to-beat variability/short-term variation SDNN value increases as difficulty level decreases SDNN Value by Condition Normalized SDNN Value 0.10 0.05 0.00 MATB-A MATB-B MATB-C -0.05 -0.10 -0.15 MATB-II Version MATB-D RMSSD and pNN50 values increase as difficulty level decreases RMSSD and pNN50 Values by Condition Normalized RMSSD and pNN50 Values 0.30 0.25 0.20 0.15 0.10 0.05 0.00 MATB-A MATB-B MATB-C MATB-II Version Means RMSSD Means pNN50 MATB-D SUMMARY/CONCLUSIONS Subjective, performance, and physiological data converge to reveal: Most stressful version: highest frequency of events Least stressful version: lowest frequency of events We now have 2 versions of a “medical MATB-II” (MFMG) to induce stress in medical professional populations that represent disparate difficulty/stress levels HRV is a more sensitive measure of acute stress/cognitive workload than HR alone This corroborates other findings30 FUTURE STEPS Now that we can reliably induce stress in a surgical population, we can ask more questions about stress reduction Future work: Evaluating the utility of biofeedback presented at different times during a stressful task Evaluating the added utility of descriptive coping instructions alongside biofeedback REFERENCES 1. LeBlanc VR. The effects of acute stress on performance: implications for health professions education. Academic Medicine. 2009;84(10):S25–S33. 2. Arora S, Sevdalis N, Aggarwal R, Sirimanna P, Darzi A, Kneebone R. Stress impairs psychomotor performance in novice laparoscopic surgeons. Surgical Endoscopy and Other Interventional Techniques. 2010;24(10):2588–2593. 3. Pluyter JR, Buzink SN, Rutkowski AF, Jakimowicz JJ. Do absorption and realistic distraction influence performance of component task surgical procedure? Surgical Endoscopy and Other Interventional Techniques. 2010;24(4):902–907. 4. Weigl M, Stefan P, Abhari K, Wucherer P, Fallavollita P, Lazarovici M, Weidert S, Euler E, Catchpole K. Intraoperative disruptions, surgeon’s mental workload, and technical performance in a full-scale simulated procedure. Surgical Endoscopy and Other Interventional Techniques. 2016;30(2):559–566. 5. Yurko YY, Scerbo MW, Prabhu AS, Acker CE, Stefanidis D. Higher mental workload is associated with poorer laparoscopic performance as measured by the NASA-TLX tool. Simulation in healthcare : journal of the Society for Simulation in Healthcare. 2010;5(5):267–271. 6. Mazur LM, Mosaly PR, Cmd LMH, Jones EL, Chera BS, Marks LB. Relating physician’s workload with errors during radiation therapy planning. Practical Radiation Oncology. 2014;4(2):71–75. 7. Mazur LM, Mosaly PR, Cmd LMH, Jones EL, Marks LB. Subjective and objective quantification of physician’s workload and performance during radiation therapy planning tasks. Practical Radiation Oncology. 2013;3(4):e171–e177. 8. Moorthy K, Munz Y, Dosis A, Bann S, Darzi A. The effect of stress-inducing conditions on the performance of a laparoscopic task. Surgical Endoscopy and Other Interventional Techniques. 2003;17(9):1481–1484. 9. Wetzel CM, Kneebone RL, Woloshynowych M, Nestel D, Moorthy K, Kidd J, Darzi A. The effects of stress on surgical performance. American Journal of Surgery. 2006;191(1):5–10. 10. Wetzel CM, George A, Hanna GB, Athanasiou T, Black SA, Kneebone RL, Nestel D, Woloshynowych M. Stress Management Training for Surgeons—A Randomized, Controlled, Intervention Study. Annals of Surgery. 2011;253(3):488–494. 11. Harvey A, Nathens AB, Bandiera G, Leblanc VR. Threat and challenge: Cognitive appraisal and stress responses in simulated trauma resuscitations. Medical Education. 2010;44(6):587–594. 12. Jamieson JP, Mendes WB, Nock MK. Improving Acute Stress Responses: The Power of Reappraisal. Current Directions in Psychological Science. 2013;22:51–56. 13. Arora S, Aggarwal R, Moran A, Sirimanna P, Crochet P, Darzi A, Kneebone R, Sevdalis N. Mental practice: Effective stress management training for novice surgeons. Journal of the American College of Surgeons. 2011;212(2):225–233. 14. Arora S, Aggarwal R, Sevdalis N, Moran A, Sirimanna P, Kneebone R, Darzi A. Development and validation of mental practice as a training strategy for laparoscopic surgery. Surgical Endoscopy and Other Interventional Techniques. 2010;24(1):179–187. 15. Helmreich RL, Wilhelm JA, Klinect JR, Merritt AC. Culture, error and crew resource management. Improving teamwork in organizations: Applications of resource management training. 2001:305– 331. 16. Bormann JE, Becker S, Gershwin M, Kelly A, Pada L, Smith TL, Gifford AL. Relationship of frequent mantram repetition to emotional and spiritual well-being in healthcare workers. Journal of continuing education in nursing. 2006;37(5):218–224. 17. Oded Y. Biofeedback-Based Mental Training in the Military—The “Mental GymTM” Project. Biofeedback. 2011;39(3):112–118. 18. Crocker PR, Alderman RB, Smith FM. Cognitive-affective stress management training with high performance youth volleyball players: effects on affect, cognition, and performance. J Sport Exercise Pyschol. 1998;10:448-60. 19. McCraty R, Atkinson M, Lipsenthal L, Arguelles L. New Hope for Correctional Officers: An Innovative Program for Reducing Stress and Health Risks. Applied Psychophysiology and Biofeedback. 2009;34(4):251–272. 20. Bouchard S, Bernier F, Boivin É, Morin B, Robillard G. Using biofeedback while immersed in a stressful videogame increases the effectiveness of stress management skills in soldiers. PLoS ONE. 2012;7(4):1–11. 21. Sherlin LH, Larson NC, Sherlin RM. Developing a performance brain trainingTM approach for baseball: A process analysis with descriptive data. Applied Psychophysiology Biofeedback. 2013;38(1):29–44. 22. Whited A, Larkin KT, Whited M. Effectiveness of emWave biofeedback in improving heart rate variability reactivity to and recovery from stress. Applied Psychophysiology Biofeedback. 2014;39(2):75–88. 23. Kudo N, Shinohara H, Kodama H. Heart Rate Variability Biofeedback Intervention for Reduction of Psychological Stress During the Early Postpartum Period. Applied Psychophysiology and Biofeedback. 2014;39(3–4):203–211. 24. Prinsloo G, Rauch HG, Lambert M, Muench F, Noakes T, Derman W. The effect of short duration heart rate variability (HRV) biofeedback on cognitive stress. Applied Cognitive Psychology. 2011;25(5):792–801. 25. Al Osman H, Eid M, Saddik. A. U-biofeedback: a multimedia-based reference model for ubiquitous biofeedback systems. Multimedia Tools and Applications. 2013;72(3):1–26. 26. Pina L, Rowan K, Roseway A, Johns P, Hayes GR, Czerwinski M. In situ cues for ADHD parenting strategies using mobile technology. Proceedings - PERVASIVEHEALTH 2014: 8th International Conference on Pervasive Computing Technologies for Healthcare. 2014:17–24. 27. Badawi H, Eid M, El Saddik A. A real-time biofeedback health advisory system for children care. Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012. 2012:429–434. 28. Lemaire JB, Wallace JE, Lewin AM, de Grood J, Schaefer JP. The effect of a biofeedback-based stress management tool on physician stress: A randomized controlled clinical trial. Open Medicine. 2011;5(4):E154–E165. 30. Comstock JR, Arnegard RJ. Multi-Attribute Task Battery for Human Operator Workload and Strategic Behavior Research. NASA Technical Memorandum. 1992. 31. Böhm B, Rötting N, Schwenk W, Grebe S, Mansmann U. A prospective randomized trial on heart rate variability of the surgical team during laparoscopic and conventional sigmoid resection. Archives of surgery (Chicago, Ill. : 1960). 2001;136(3):305–10. ACKNOWLEDGMENTS Sarah Henrickson Parker, PhD Sarah Frazier, Virginia Tech Whitney DeLong Harrison Wade, VTC School of Medicine Steven Crane, VTC School of Medicine Joseph Coro, Princeton Med students/volunteers! [email protected] AHRQ R18HS023465-01, PI-Parker
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