Making MATB-II Medical Pilot Testing Results to Determine a Novel

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