Both lead authors contributed equally to this article.
Innovations in the Assessment of Transplant Center Performance: Implications for Quality Improvement
Article first published online: 26 MAR 2009
No claim to original US government works Journal compilation © 2009 The American Society of Transplantation and the American Society of Transplant Surgeons
American Journal of Transplantation
Special Issue: The 2008 SRTR Report on the State of Transplantation
Volume 9, Issue 4p2, pages 959–969, April 2009
How to Cite
Axelrod, D. A., Kalbfleisch, J. D., Sun, R. J., Guidinger, M. K., Biswas, P., Levine, G. N., Arrington, C. J. and Merion, R. M. (2009), Innovations in the Assessment of Transplant Center Performance: Implications for Quality Improvement. American Journal of Transplantation, 9: 959–969. doi: 10.1111/j.1600-6143.2009.02570.x
- Issue published online: 26 MAR 2009
- Article first published online: 26 MAR 2009
- Quality assessment;
- risk assessment modeling;
- statistical methodology
Continuous quality improvement efforts have become a central focus of leading health care organizations. The transplant community has been a pioneer in periodic review of clinical outcomes to ensure the optimal use of limited donor organs. Through data collected from the Organ Procurement and Transplantation Network (OPTN) and analyzed by the Scientific Registry of Transplant Recipients (SRTR), transplantation professionals have intermittent access to specific, accurate and clinically relevant data that provides information to improve transplantation. Statistical process control techniques, including cumulative sum charts (CUSUM), are designed to provide continuous, real-time assessment of clinical outcomes. Through the use of currently collected data, CUSUMs can be constructed that provide risk-adjusted program-specific data to inform quality improvement programs. When retrospectively compared to currently available data reporting, the CUSUM method was found to detect clinically significant changes in center performance more rapidly, which has the potential to inform center leadership and enhance quality improvement efforts.