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Relationships Between Expertise, Crew Familiarity and Surgical Workflow Disruptions: An Observational Study

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Abstract

Background

Teamwork is an essential factor in reducing workflow disruption (WD) in the operating room. Team familiarity (TF) has been recognized as an antecedent to surgical quality and safety. To date, no study has examined the link between team members’ role and expertise, TF and WD in surgical setting. This study aimed to examine the relationships between expertise, surgeon–scrub nurse familiarity and WD.

Methods

We observed a convenience sample of 12 elective neurosurgical procedures carried out by 4 surgeons and 11 SN with different levels of expertise and different degrees of familiarity between surgeons and SN. We calculated the number of WD per unit of coding time to control for the duration of operation. We explored the type and frequency of WD, and the differences between the surgeons and SN. We examined the relationships between duration of WD, staff expertise and surgeon–scrub nurse familiarity.

Results

9.91% of the coded surgical time concerned WD. The most frequent causes of WD were distractions (29.7%) and colleagues’ interruptions (25.2%). This proportion was seen for SN, whereas teaching moments and colleagues’ interruptions were the most frequent WD for surgeons. The WD was less high among expert surgeons and less frequent when surgeon was familiar with SN.

Conclusions

The frequency of WD during surgical time can compromise surgical quality and patient safety. WD seems to decrease in teams with high levels of surgeon–scrub nurse familiarity and with development of surgical expertise. Favoring TF and giving feedback to the team about WD issues could be interesting ways to improve teamwork.

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References

  1. Jannin P, Morandi X (2007) Surgical models for computer-assisted neurosurgery. NeuroImage 37(3):783–791

    Article  CAS  PubMed  Google Scholar 

  2. Wiegmann DA, ElBardissi AW, Dearani JA et al (2007) Disruptions in surgical flow and their relationship to surgical errors: an exploratory investigation. Surgery 142(5):658–665

    Article  PubMed  Google Scholar 

  3. Al-Hakim L, Xiao J, Sengupta S (2017) Ergonomics perspective for identifying and reducing internal operative flow disruption for laparoscopic urological surgery. Surg Endosc 31(12):5043–5056

    Article  PubMed  Google Scholar 

  4. Palmer G, Abernathy JH, Swinton G et al (2013) Realizing improved patient care through human-centered operating room designa human factors methodology for observing flow disruptions in the cardiothoracic operating room. J Am Soc Anesthesiol 119(5):1066–1077

    Article  Google Scholar 

  5. Shouhed D, Blocker R, Gangi A et al (2014) Flow disruptions during trauma care. World J Surg 38(2):314–321. https://doi.org/10.1007/s00268-013-2306-0

    Article  PubMed  Google Scholar 

  6. Sevdalis N, Healey AN, Vincent CA (2007) Distracting communications in the operating theatre. J Eval Clin Pract 13(3):390–394

    Article  PubMed  Google Scholar 

  7. Sevdalis N, Wong HWL, Arora S et al (2012) Quantitative analysis of intraoperative communication in open and laparoscopic surgery. Surg Endosc 26(10):2931–2938

    Article  PubMed  Google Scholar 

  8. Allers JC, Hussein AA, Ahmad N et al (2016) Evaluation and Impact of workflow interruptions during robot-assisted surgery. Urology 92:33–37

    Article  PubMed  Google Scholar 

  9. Rivera-Rodriguez AJ, Karsh B-T (2010) Interruptions and distractions in healthcare: review and reappraisal. Qual Saf Health Care 19(4):304–312

    Article  CAS  PubMed  Google Scholar 

  10. Lingard L, Espin S, Whyte S et al (2004) Communication failures in the operating room: an observational classification of recurrent types and effects. Qual Saf Health Care 13(5):330–334

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Leonard M, Graham S, Bonacum D (2004) The human factor: the critical importance of effective teamwork and communication in providing safe care. Qual Saf Health Care 13(Suppl 1):i85–i90

    Article  PubMed  PubMed Central  Google Scholar 

  12. Haynes AB, Weiser TG, Berry WR et al (2009) A surgical safety checklist to reduce morbidity and mortality in a global population. N Engl J Med 360(5):491–499

    Article  CAS  Google Scholar 

  13. Gillespie BM, Marshall AP, Gardiner T et al (2016) Impact of workflow on the use of the surgical safety checklist: a qualitative study. ANZ J Surg 86(11):864–867

    Article  PubMed  Google Scholar 

  14. Weigl M, Müller A, Vincent C et al (2012) The association of workflow interruptions and hospital doctors’ workload: a prospective observational study. BMJ Qual Saf 21(5):399–407

    Article  CAS  PubMed  Google Scholar 

  15. Webber SS, Crews Klimoski RJ (2004) A distinct type of work team. J Bus Psychol 18(3):261–279

    Article  Google Scholar 

  16. Thomas MJW, Petrilli RM (2006) Crew Familiarity: operational experience, non-technical performance, and error management. Aviat Space Environ Med 77(1):41–45

    PubMed  Google Scholar 

  17. Patterson PD, Weaver MD, Landsittel DP et al (2016) Teammate familiarity and risk of injury in emergency medical services. Emerg Med J 33(4):280–285

    Article  PubMed  Google Scholar 

  18. Maruthappu M, Duclos A, Zhou CD et al (2016) The impact of team familiarity and surgical experience on operative efficiency: a retrospective analysis. J R Soc Med 109(4):147–153

    Article  PubMed  PubMed Central  Google Scholar 

  19. Kurmann A, Keller S, Tschan-Semmer F et al (2014) Impact of team familiarity in the operating room on surgical complications. World J Surg 38(12):3047–3052. https://doi.org/10.1007/s00268-014-2680-2

    Article  CAS  PubMed  Google Scholar 

  20. Smith-Jentsch KA, Kraiger K, Cannon-Bowers JA et al (2009) Do familiar teammates request and accept more backup? Transactive memory in air traffic control. Hum Factors 51(2):181–192

    Article  PubMed  Google Scholar 

  21. Alderson D (2010) Developing expertise in surgery. Med Teach 32(10):830–836

    Article  PubMed  Google Scholar 

  22. Cohen TN, Cabrera JS, Sisk OD et al (2016) Identifying workflow disruptions in the cardiovascular operating room. Anaesthesia 71(8):948–954

    Article  CAS  PubMed  Google Scholar 

  23. Widmer LW, Keller S, Tschan F, Semmer NK, Holzer E, Candinas D, Beldi G (2018) More than talking about the weekend: content of case-irrelevant communication within the OR team. World J Surg 42(7):2011–2017. https://doi.org/10.1007/s00268-017-4442-4

    Article  PubMed  PubMed Central  Google Scholar 

  24. Parker SEH, Laviana AA, Wadhera RK et al (2010) Development and evaluation of an observational tool for assessing surgical flow disruptions and their impact on surgical performance. World J Surg 34(2):353–361. https://doi.org/10.1007/s00268-009-0312-z

    Article  Google Scholar 

  25. ElBardissi AW, Duclos A, Rawn JD et al (2013) Cumulative team experience matters more than individual surgeon experience in cardiac surgery. J Thorac Cardiovasc Surg 145(2):328–333

    Article  PubMed  Google Scholar 

  26. Daniel Patterson P, Arnold RM, Abebe K et al (2011) Variation in emergency medical technician partner familiarity. Health Serv Res 46(4):1319–1331

    Article  PubMed  PubMed Central  Google Scholar 

  27. Kang E, Massey D, Gillespie BM (2015) Factors that influence the non-technical skills performance of scrub nurses: a prospective study. J Adv Nurs 71(12):2846–2857

    Article  PubMed  Google Scholar 

  28. Wegner DM, Transactive memory: A contemporary analysis of the group mind (1987) In: Mullen G, Goethals G (eds) Theories of group behavior. Springer, New York, pp 185–208

    Chapter  Google Scholar 

  29. Michinov E, Olivier-Chiron E, Rusch E et al (2008) Influence of transactive memory on perceived performance, job satisfaction and identification in anaesthesia teams. BJA Br J Anaesth 100(3):327–332

    Article  CAS  PubMed  Google Scholar 

  30. Koh RYI, Park T, Wickens CD (2014) An investigation of differing levels of experience and indices of task management in relation to scrub nurses’ performance in the operating theatre: analysis of video-taped caesarean section surgeries. Int J Nurs Stud 51(9):1230–1240

    Article  PubMed  Google Scholar 

  31. Sieweke J, Zhao B (2015) The impact of team familiarity and team leader experience on team coordination errors: a panel analysis of professional basketball teams. J Organ Behav 36(3):382–402

    Article  Google Scholar 

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Correspondence to Pierre-Louis Henaux.

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Henaux, PL., Michinov, E., Rochat, J. et al. Relationships Between Expertise, Crew Familiarity and Surgical Workflow Disruptions: An Observational Study. World J Surg 43, 431–438 (2019). https://doi.org/10.1007/s00268-018-4805-5

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  • DOI: https://doi.org/10.1007/s00268-018-4805-5

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