The American Journal of Surgery
Volume 198, Issue 5, Supplement , Pages S56-S62 , November 2009

New approaches to the National Surgical Quality Improvement Program: the American College of Surgeons experience

Presented to the Association of Veterans Affairs Surgeons Meeting and NSQIP 15th Anniversary and Festschrift to Shukri Khuri, M.D., Saturday, April 18, 2009, Cambridge, MA.

  • Bruce L. Hall, M.D., Ph.D., M.B.A.

      Affiliations

    • Department of Surgery, St. Louis Veterans Affairs Medical Center, and Department of Surgery, Olin Business School, and Center for Health Policy, Washington University in St. Louis, St. Louis, MO, USA
    • Corresponding Author InformationCorresponding author. Tel.: +1 314 401 0247; fax: +1 314 454 5509
    • ,
  • Karen Richards, B.A.

      Affiliations

    • Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, IL, USA
    • ,
  • Angela Ingraham, M.D.

      Affiliations

    • Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, IL, USA
    • ,
  • Clifford Y. Ko, M.D., M.S., M.S.H.S.

      Affiliations

    • Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, IL, USA
    • Department of Surgery, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA

Received 28 May 2009

References 

  1. Hall B, Hamilton B, Richards K, et al. Does surgical quality improve in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP): an evaluation of all participating hospitals. Ann Surg. 2009;250:363–376
  2. Hall BL, Hsiao EY, Majercik S, et al. The impact of surgeon specialization on patient mortality: examination of a continuous Herfindahl-Hirschman index. Ann Surg. 2009;249:708–716
  3. Hall B, Campbell D, Phillips L, et al. Evaluating individual surgeons based on total hospital costs: evidence for variation in both total costs and volatility of costs. J Am Coll Surg. 2006;202:565–576
  4. Hall B, Hamilton B. New information technology systems and a Bayesian hierarchical bivariate probit model for profiling surgeon quality at a large hospital. Q Review Econ Finan. 2004;44:410–429
  5. Cohen ME, Bilimoria KY, Ko CY, et al. Effect of subjective preoperative variables on risk-adjusted assessment of hospital morbidity and mortality. Ann Surg. 2009;249:682–689
  6. Birkmeyer J, Dimick J, Birkmeyer N. Measuring the quality of surgical care: structure, process, or outcomes?. J Am Coll Surg. 2004;198:626–632
  7. Birkmeyer JD, Shahian DM, Dimick JB, et al. Blueprint for a new American College of Surgeons: National Surgical Quality Improvement Program. J Am Coll Surg. 2008;207:777–782
  8. Schilling PL, Dimick JB, Birkmeyer JD. Prioritizing quality improvement in general surgery. J Am Coll Surg. 2008;207:698–704
  9. Hall B, Hirbe M, Waterman B, et al. Comparison of mortality risk adjustment using a clinical data algorithm (American College of Surgeons National Surgical Quality Improvement Program) and an administrative data algorithm (Solucient) at the case level within a single institution. J Am Coll Surg. 2007;205:767–777
  10. Cohen ME, Dimick JB, Bilimoria KY, Ko CY, Richards K, Hall BL. Risk-adjustment in the ACS-NSQIP: A comparison of logistic and hierarchial models. J Am Coll Surg. 2009;in press
  11. Hirano K, Imbens G, Ridder G. Efficient estimation of average treatment effects using the estimated propensity score. Econometrica. 2003;71:1161–1190
  12. Englesbe MJ, Dimick JB, Sonnenday CJ, et al. The Michigan Surgical Quality Collaborative: will a statewide quality improvement initiative pay for itself?. Ann Surg Dec. 2007;246:1100–1103

 B.L.H. was supported by the Center for Health Policy, under the direction of Dr. William Peck, Washington University in St. Louis, St. Louis, MO. A.I. is a research fellow of the American College of Surgeons.

PII: S0002-9610(09)00464-4

doi: 10.1016/j.amjsurg.2009.07.026

The American Journal of Surgery
Volume 198, Issue 5, Supplement , Pages S56-S62 , November 2009

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