Log in

Heart rate variability: an objective measure of mental stress in surgical simulation

  • Original Article
  • Published:
Global Surgical Education - Journal of the Association for Surgical Education Aims and scope Submit manuscript

A Letter to the Editor to this article was published on 18 June 2024

A Letter to the Editor to this article was published on 18 June 2024

Abstract

Purpose

Highly stressful conditions in the operating room are associated with an increased risk of surgical adverse events and worse patient outcomes. Identifying and measuring mental stress in the surgical setting can guide our intervention efforts. The aim of this study was to evaluate the feasibility of heart rate variability (HRV) monitoring as an objective measure of mental stress and its correlation with expertise level in surgical simulation.

Methods

General surgery residents and faculty participated in a laparoscopic hiatal hernia repair simulation on porcine and synthetic models. Whole-procedure electrocardiographic (ECG) data was recorded, and manual artifact correction was performed. On power spectral density analysis, we computed the low-frequency/high-frequency (LF/HF) ratio, considered a surrogate for stress and mental strain. Mental workload was also subjectively assessed using the NASA-TLX rating scale.

Results

We recruited 37 participants: 18 novice, 14 intermediate, and 5 expert surgeons. When comparing the first to the second half of the procedure, the LF/HF ratio (stress level) relatively increased in novices (+ 23% for fundoplication, + 19% for crural repair), decreased in intermediates (− 11% and − 8%, respectively), and decreased in experts (− 40%, − 30%) (p = 0.001, p = 0.009). Pairwise comparison showed significant differences in stress level between novices and experts in both simulation models. NASA-TLX revealed higher mental and physical load among novice trainees, while experts reported greater satisfaction with their performance.

Conclusions

HRV monitoring in surgical simulation is a feasible and effective method to objectively evaluate mental stress and correlate it with the level of surgical expertise. We have shown that the relative change in LF/HF ratio can adequately distinguish between novice and expert surgeons. Our study supports the incorporation of HRV monitoring in surgical simulators to complement objective assessment of technical skills.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Balch CM, Freischlag JA, Shanafelt TD. Stress and burnout among surgeons: understanding and managing the syndrome and avoiding the adverse consequences. Arch Surg. 2009;144(4):371–6. https://doi.org/10.1001/archsurg.2008.575.

    Article  PubMed  Google Scholar 

  2. Dalager T, Søgaard K, Boyle E, Jensen PT, Mogensen O. Surgery is physically demanding and associated with multisite musculoskeletal pain: a cross-sectional study (in eng). J Surg Res. 2019;240:30–9. https://doi.org/10.1016/j.jss.2019.02.048.

    Article  PubMed  Google Scholar 

  3. Greenberg AL, et al. Emotional regulation in surgery: fostering well-being, performance, and leadership (in eng). J Surg Res. 2022;277:A25-a35. https://doi.org/10.1016/j.jss.2022.02.032.

    Article  PubMed  Google Scholar 

  4. Yosef B, Woldegerima Berhe Y, Yilkal Fentie D, Belete Getahun A. Occupational stress among operation room clinicians at ethiopian university hospitals (in eng). J Environ Public Health. 2022;2022:2077317. https://doi.org/10.1155/2022/2077317.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Guerrier G, Margetis D, Agostini C, Machroub Z, Di Maria S. Improving wellness of operating room personnel: a light-based intervention on perceived nursing-related stress (in English). Front Psych. 2021. https://doi.org/10.3389/fpsyt.2021.718194.

    Article  Google Scholar 

  6. Hardy L, Parfitt G. A catastrophe model of anxiety and performance (in eng). Br J Psychol. 1991;82(Pt 2):163–78. https://doi.org/10.1111/j.2044-8295.1991.tb02391.x.

    Article  PubMed  Google Scholar 

  7. Grantcharov PD, Boillat T, Elkabany S, Wac K, Rivas H. Acute mental stress and surgical performance (in eng). BJS Open. 2019;3(1):119–25. https://doi.org/10.1002/bjs5.104.

    Article  CAS  PubMed  Google Scholar 

  8. Tawfik DS, et al. Physician burnout, well-being, and work unit safety grades in relationship to reported medical errors (in eng). Mayo Clin Proc. 2018;93(11):1571–80. https://doi.org/10.1016/j.mayocp.2018.05.014.

    Article  PubMed  Google Scholar 

  9. Hull L, Arora S, Aggarwal R, Darzi A, Vincent C, Sevdalis N. The impact of nontechnical skills on technical performance in surgery: a systematic review (in eng). J Am Coll Surg. 2012;214(2):214–30. https://doi.org/10.1016/j.jamcollsurg.2011.10.016.

    Article  PubMed  Google Scholar 

  10. Wetzel CM, et al. The effects of stress and co** on surgical performance during simulations (in eng). Ann Surg. 2010;251(1):171–6. https://doi.org/10.1097/SLA.0b013e3181b3b2be.

    Article  PubMed  Google Scholar 

  11. Lebares CC, et al. Enhanced stress resilience training in surgeons: iterative adaptation and biopsychosocial effects in 2 small randomized trials (in eng). Ann Surg. 2021;273(3):424–32. https://doi.org/10.1097/sla.0000000000004145.

    Article  PubMed  Google Scholar 

  12. Jacoby R, Greenfeld Barsky K, Porat T, Harel S, Hanalis Miller T, Goldzweig G. Individual stress response patterns: preliminary findings and possible implications (in eng). PLoS One. 2021;16(8):e0255889. https://doi.org/10.1371/journal.pone.0255889.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Torkamani-Azar M, Lee A, Bednarik R. Methods and measures for mental stress assessment in surgery: a systematic review of 20 years of literature (in eng). IEEE J Biomed Health Inform. 2022;26(9):4436–49. https://doi.org/10.1109/jbhi.2022.3182869.

    Article  PubMed  Google Scholar 

  14. Walvekar SS, Ambekar JG, Devaranavadagi BB. Study on serum cortisol and perceived stress scale in the police constables (in eng). J Clin Diagn Res. 2015;9(2):BC10–4. https://doi.org/10.7860/jcdr/2015/12015.5576.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Shaffer F, Ginsberg JP. An overview of heart rate variability metrics and norms (in eng). Front Public Health. 2017;5:258. https://doi.org/10.3389/fpubh.2017.00258.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Singh N, Moneghetti KJ, Christle JW, Hadley D, Plews D, Froelicher V. Heart rate variability: an old metric with new meaning in the era of using mHealth technologies for health and exercise training guidance. Part one: physiology and methods (in eng). Arrhythm Electrophysiol Rev. 2018;7(3):193–8. https://doi.org/10.15420/aer.2018.27.2.

    Article  PubMed  PubMed Central  Google Scholar 

  17. The AF, Reijmerink I, van der Laan M, Cnossen F. “Heart rate variability as a measure of mental stress in surgery: a systematic review”, (in eng). Int Arch Occup Environ Health. 2020;93(7):805–21. https://doi.org/10.1007/s00420-020-01525-6.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Amirian I, Toftegård Andersen L, Rosenberg J, Gögenur I. Decreased heart rate variability in surgeons during night shifts (in eng). Can J Surg. 2014;57(5):300–4. https://doi.org/10.1503/cjs.028813.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Wetzel CM, et al. Stress management training for surgeons—a randomized, controlled, intervention study. Ann Surg. 2011;253(3):488–94. https://doi.org/10.1097/SLA.0b013e318209a594.

    Article  PubMed  Google Scholar 

  20. Hinzmann D, et al. Differences in beginner and expert neurointerventionalists” heart rate variability during simulated neuroangiographies (in eng). Interv Neuroradiol. 2022. https://doi.org/10.1177/15910199221128439.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Ghazali DA, Darmian-Rafei I, Ragot S, Oriot D. Performance under stress conditions during multidisciplinary team immersive pediatric simulations (in eng). Pediatr Crit Care Med. 2018;19(6):e270–8. https://doi.org/10.1097/pcc.0000000000001473.

    Article  PubMed  Google Scholar 

  22. Baker BG, et al. Simulation fails to replicate stress in trainees performing a technical procedure in the clinical environment (in eng). Med Teach. 2017;39(1):53–7. https://doi.org/10.1080/0142159x.2016.1230188.

    Article  CAS  PubMed  Google Scholar 

  23. Rosser JC Jr, Lynch PJ, Cuddihy L, Gentile DA, Klonsky J, Merrell R. The impact of video games on training surgeons in the 21st century (in eng). Arch Surg. 2007;142(2):181–6. https://doi.org/10.1001/archsurg.142.2.181. (discusssion 186).

    Article  PubMed  Google Scholar 

  24. Athanasiadis DI, Anton NE, Karim A, Colgate CL, Stefanidis D. Does the advanced training in laparoscopic suturing enhance laparoscopic suturing skill beyond fundamentals of laparoscopic surgery? (in eng). Surgery. 2021;170(4):1125–30. https://doi.org/10.1016/j.surg.2021.06.041.

    Article  PubMed  Google Scholar 

  25. Neo EL, Zingg U, Devitt PG, Jamieson GG, Watson DI. Learning curve for laparoscopic repair of very large hiatal hernia (in eng). Surg Endosc. 2011;25(6):1775–82. https://doi.org/10.1007/s00464-010-1461-8.

    Article  PubMed  Google Scholar 

  26. Messick S. Validity of psychological assessment: validation of inferences from persons’ responses and performances as scientific inquiry into score meanING. ETS Res Rep Ser. 1994;1994(2):i–28. https://doi.org/10.1002/j.2333-8504.1994.tb01618.x.

    Article  Google Scholar 

  27. Ghaferi AA, Schwartz TA, Pawlik TM. STROBE Reporting Guidelines for Observational Studies (in eng). JAMA Surg. 2021;156(6):577–8. https://doi.org/10.1001/jamasurg.2021.0528.

    Article  PubMed  Google Scholar 

  28. Ruha A, Sallinen S, Nissilä S. A real-time microprocessor QRS detector system with a 1-ms timing accuracy for the measurement of ambulatory HRV (in eng). IEEE Trans Biomed Eng. 1997;44(3):159–67. https://doi.org/10.1109/10.554762.

    Article  CAS  PubMed  Google Scholar 

  29. Task Force of the European Society of Cardiology the North A Electrophysiology. Heart rate variability. Circulation. 1996;93(5):1043–65. https://doi.org/10.1161/01.CIR.93.5.1043.

    Article  Google Scholar 

  30. Ritter EM, Gardner AK, Dunkin BJ, Schultz L, Pryor AD, Feldman L. Video-based assessment for laparoscopic fundoplication: initial development of a robust tool for operative performance assessment (in eng). Surg Endosc. 2020;34(7):3176–83. https://doi.org/10.1007/s00464-019-07089-y.

    Article  PubMed  Google Scholar 

  31. Pagani M, Furlan R, Pizzinelli P, Crivellaro W, Cerutti S, Malliani A. Spectral analysis of R-R and arterial pressure variabilities to assess sympatho-vagal interaction during mental stress in humans (in eng). J Hypertens Suppl. 1989;7(6):S14–5. https://doi.org/10.1097/00004872-198900076-00004.

    Article  CAS  PubMed  Google Scholar 

  32. McCraty R, Atkinson M, Tiller WA, Rein G, Watkins AD. The effects of emotions on short-term power spectrum analysis of heart rate variability (in eng). Am J Cardiol. 1995;76(14):1089–93. https://doi.org/10.1016/s0002-9149(99)80309-9.

    Article  CAS  PubMed  Google Scholar 

  33. Grantcharov PD, Boillat T, Elkabany S, Wac K, Rivas H. Acute mental stress and surgical performance. BJS Open. 2018;3(1):119–25. https://doi.org/10.1002/bjs5.104.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Peabody JE, Ryznar R, Ziesmann MT, Gillman L. A systematic review of heart rate variability as a measure of stress in medical professionals (in eng). Cureus. 2023;15(1): e34345. https://doi.org/10.7759/cureus.34345.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Ghazali DA, et al. Stress response in the daily lives of simulation repeaters. A randomized controlled trial assessing stress evolution over one year of repetitive immersive simulations (in eng). PLoS One. 2019;14(7):e0220111. https://doi.org/10.1371/journal.pone.0220111.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Langelotz C, Scharfenberg M, Haase O, Schwenk W. Stress and heart rate variability in surgeons during a 24-hour shift (in eng). Arch Surg. 2008;143(8):751–5. https://doi.org/10.1001/archsurg.143.8.751.

    Article  PubMed  Google Scholar 

  37. Green CS, Bavelier D. Exercising your brain: a review of human brain plasticity and training-induced learning (in eng). Psychol Aging. 2008;23(4):692–701. https://doi.org/10.1037/a0014345.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Marrelli M, Gentile S, Palmieri F, Paduano F, Tatullo M. “Correlation between Surgeon’s experience, surgery complexity and the alteration of stress related physiological parameters”, (in eng). PLoS One. 2014;9(11): e112444. https://doi.org/10.1371/journal.pone.0112444.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Awad G, et al. Evaluation of stress levels of trainee cardiac surgery residents during training interventions using physiological stress parameters (in eng). Int J Environ Res Public Health. 2021. https://doi.org/10.3390/ijerph182211953.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Stefanidis D, et al. Effectiveness of a comprehensive mental skills curriculum in enhancing surgical performance: results of a randomized controlled trial (in eng). Am J Surg. 2017;213(2):318–24. https://doi.org/10.1016/j.amjsurg.2016.10.016.

    Article  PubMed  Google Scholar 

  41. Schneider F, et al. Anesthetists’ heart rate variability as an indicator of performance during induction of general anesthesia and simulated critical incidents: an observational study. J Psychophysiol. 2019;33:232–42. https://doi.org/10.1027/0269-8803/a000225.

    Article  Google Scholar 

Download references

Acknowledgements

We appreciate the support of the UT Southwestern Simulation Center. We also thank Dave Primm of the UT Southwestern Department of Surgery for help in editing this article.

Funding

This work was supported by the National Institute of Health/National Institute of Biomedical Imaging and Bioengineering grant #R01EB025247.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ganesh Sankaranarayanan.

Ethics declarations

Conflict of interest

Drs. Emile Farah, Alexis Desir, Carolina Marques, Shruti Hegde, Carla Holcomb, Andres Abreu, Patricio Polanco, Daniel Scott, and Ganesh Sankaranarayanan have no other conflict of interest or financial ties to disclose that are directly or indirectly related to the work submitted for publication.

Appendix

Appendix

See Fig. 8

Fig. 8
figure 8

The National Aeronautics and Space Administration Task Load Index (NASA-TLX) questionnaire (instructions: please place an “X” along each scale at the point that best indicates your experience with the display configuration)

.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Farah, E., Desir, A., Marques, C. et al. Heart rate variability: an objective measure of mental stress in surgical simulation. Global Surg Educ 3, 25 (2024). https://doi.org/10.1007/s44186-023-00220-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s44186-023-00220-7

Keywords

Navigation