Innovations in the Assessment of Transplant Center Performance: Implications for Quality Improvement |
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| Authors: | D. A. Axelrod J. D. Kalbfleisch R. J. Sun M. K. Guidinger P. Biswas G. N. Levine C. J. Arrington R. M. Merion |
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| Affiliation: | Dartmouth Hitchcock Medical Center, Lebanon, NH;Department of Biostatistics, University of Michigan, Ann Arbor, MI;Scientific Registry of Transplant Recipients, Ann Arbor, MI;Arbor Research Collaborative for Health, Ann Arbor, MI;Global Medical Research and Development, Pfizer Inc., New York, NY;Department of Surgery, University of Michigan, Ann Arbor, MI |
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| Abstract: | 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. |
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| Keywords: | Quality assessment risk assessment modeling SRTR/OPTN statistical methodology |
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