Skip to main content
Log in

Effect of Anesthesia Staffing Ratio on First-Case Surgical Start Time

  • Systems-Level Quality Improvement
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

On time start of the first case of the day is an important operating room (OR) efficiency metric, in which delays can have effects throughout the day. Although previous studies have identified various causes of first case start delays, none have attempted to evaluate the effect anesthesia staffing ratios have on first case start times. We performed a single-center retrospective analysis at an academic teaching hospital. Data was collected and analyzed over a period of 4 years and on more than 8,700 cases. We examined whether staffing ratios of attending only (solo staffing ratio), attending working with 1 resident/certified registered nurse anesthetist (CRNA) (1 to 1), or attending covering 2 residents/CRNAs (1 to 2) had a significant effect on first patient in room time (FPIR) and first case on time start (FCOTS). In addition, we examined whether staffing ratios had an effect on start times in various surgical subspecialties. We performed a univariate logistic regression analysis to determine if age, anesthesia base units, American Society of Anesthesiologists Physical Status (ASA PS) classification score, and staffing ratio was associated with FPIR and FCOTS being on time. Then, we performed a multivariate logistic regression analysis to determine if staffing ratio was associated with these outcomes, utilizing age, anesthesia base units, and ASA PS class as covariates. A decreased odds for FPIR being on time were seen in general and orthopedic surgeries when staffed 1 to 1, and cardiac surgery when staffed 1 to 2, when compared to solo staffing. FCOTS showed statistically significant differences when looking at all services with solo staffing having the highest odds for FCOTS being on time. This effect was seen also when analyzing only oncologic and orthopedic surgeries. Hospitals should consider using different staffing ratios in different surgical specialties to minimize delays and maximize OR efficiency.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /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.

Similar content being viewed by others

References

  1. Malapero, R. J., et al., An anesthesia medication cost scorecard–concepts for individualized feedback. J. Med. Syst. 39:48, 2015.

    Article  PubMed  Google Scholar 

  2. Eijkemans, M. J., et al., Predicting the unpredictable: a new prediction model for operating room times using individual characteristics and the surgeon’s estimate. Anesthesiology 112:41–49, 2010.

    Article  PubMed  Google Scholar 

  3. Krupka, D. C., and Sandberg, W. S., Operating room design and its impact on operating room economics. Curr. Opin. Anaesthesiol. 19:185–191, 2006.

    Article  PubMed  Google Scholar 

  4. Kodali, B. S., Kim, D., Bleday, R., Flanagan, H., and Urman, R. D., Successful strategies for the reduction of operating room turnover times in a tertiary care academic medical center. J. Surg. Res. 187:403–411, 2014.

    Article  PubMed  Google Scholar 

  5. Panni, M. K., et al., Improving operating room first start efficiency - value of both checklist and a pre-operative facilitator. Acta Anaesthesiol. Scand. 57:1118–1123, 2013.

    Article  CAS  PubMed  Google Scholar 

  6. Wong, J., Khu, K. J., Kaderali, Z., and Bernstein, M., Delays in the operating room: signs of an imperfect system. Can J Surg J Can de chirurgie 53:189–195, 2010.

    Google Scholar 

  7. Mazzei, W. J., Operating room start times and turnover times in a university hospital. J. Clin. Anesth. 6:405–408, 1994.

    Article  CAS  PubMed  Google Scholar 

  8. Harders, M., Malangoni, M. A., Weight, S., and Sidhu, T., Improving operating room efficiency through process redesign. Surgery 140:509–514, 2006. discussion 514–506 2006.

    Article  PubMed  Google Scholar 

  9. Vitez, T. S., and Macario, A., Setting performance standards for an anesthesia department. J. Clin. Anesth. 10:166–175, 1998.

    Article  CAS  PubMed  Google Scholar 

  10. Overdyk, F. J., Harvey, S. C., Fishman, R. L., and Shippey, F., Successful strategies for improving operating room efficiency at academic institutions. Anesth. Analg. 86:896–906, 1998.

    CAS  PubMed  Google Scholar 

  11. Gabriel, R. A., Gimlich, R., Ehrenfeld, J. M., and Urman, R. D., Operating room metrics score card-creating a prototype for individualized feedback. J. Med. Syst. 38:144, 2014.

    Article  PubMed  Google Scholar 

  12. Peccora, C. D., et al., Anesthesia report card - a customizable tool for performance improvement. J. Med. Syst. 38:105, 2014.

    Article  PubMed  Google Scholar 

  13. Wright, J. G., Roche, A., and Khoury, A. E., Improving on-time surgical starts in an operating room. Can J Surg J Can de chirurgie. 53:167–170, 2010.

    Google Scholar 

  14. Saw, N., et al. Process Redesign to Improve First Case Surgical Starts in an Academic Institution. Journal of investigative surgery : the official journal of the Academy of Surgical Research 2014.

  15. Kodali, B. S., Kim, K. D., Flanagan, H., Ehrenfeld, J. M., and Urman, R. D., Variability of subspecialty-specific anesthesia-controlled times at two academic institutions. J. Med. Syst. 38:11, 2014.

    Article  PubMed  Google Scholar 

  16. van Veen-Berkx, E., Elkhuizen, S. G., Kalkman, C. J., Buhre, W. F., and Kazemier, G., Successful interventions to reduce first-case tardiness in Dutch university medical centers: results of a nationwide operating room benchmark study. Am. J. Surg. 207:949–959, 2014.

    Article  PubMed  Google Scholar 

  17. Paoletti, X., and Marty, J., Consequences of running more operating theatres than anaesthetists to staff them: a stochastic simulation study. Br. J. Anaesth. 98:462–469, 2007.

    Article  CAS  PubMed  Google Scholar 

  18. Epstein, R. H., and Dexter, F., Influence of supervision ratios by anesthesiologists on first-case starts and critical portions of anesthetics. Anesthesiology 116:683–691, 2012.

    Article  PubMed  Google Scholar 

  19. Koenig, T., et al., Estimating the time needed for induction of anaesthesia and its importance in balancing anaesthetists’ and surgeons’ waiting times around the start of surgery. Anaesthesia 66:556–562, 2011.

    Article  CAS  PubMed  Google Scholar 

  20. Urman, R. D., Sarin, P., Mitani, A., Philip, B., and Eappen, S., Presence of anesthesia resident trainees in day surgery unit has mixed effects on operating room efficiency measures. The Ochsner J. 12:25–29, 2012.

    PubMed  Google Scholar 

  21. Davis, E. A., et al., Resident teaching versus the operating room schedule: an independent observer-based study of 1558 cases. Anesth. Analg. 103:932–937, 2006.

    Article  PubMed  Google Scholar 

  22. Glance, L. G., The cost effectiveness of anesthesia workforce models: a simulation approach using decision-analysis modeling. Anesth. Analg. 90:584–592, 2000.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard D. Urman.

Additional information

This article is part of the Topical Collection on Systems-Level Quality Improvement

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, Y., Gabriel, R.A., Kodali, B.S. et al. Effect of Anesthesia Staffing Ratio on First-Case Surgical Start Time. J Med Syst 40, 115 (2016). https://doi.org/10.1007/s10916-016-0471-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-016-0471-z

Keywords

Navigation