Assessment of Between-Hospital Variation in Readmission and Mortality After Cancer Surgical Procedures

作者: Sebastien Haneuse , Francesca Dominici , Sharon-Lise Normand , Deborah Schrag

DOI: 10.1001/JAMANETWORKOPEN.2018.3038

关键词: Acute careCancerMedicaidEmergency medicineCancer registryMedicineStandardized rateRetrospective cohort studyOdds ratioLogistic regression

摘要: Importance Although current federal quality improvement programs do not include cancer surgery, the Centers for Medicare & Medicaid Services and other payers are considering extending readmission reduction initiatives to these common high-cost episodes. Objectives To quantify between-hospital variation in quality-related outcomes identify hospital characteristics associated with high low performance. Design, Setting, Participants This retrospective cohort study obtained data through linkage of California Cancer Registry discharge claims databases maintained by Office Statewide Health Planning Development. All 351 acute care hospitals at which 1 or more adults underwent curative intent surgery between January 1, 2007, December 31, 2011, analyses finalized July 15, 2018, were included. A total 138 799 undergoing colorectal, breast, lung, prostate, bladder, thyroid, kidney, endometrial, pancreatic, liver, esophageal within 6 months diagnosis, an American Joint Committee on stage I III Main Outcomes Measures included adjusted odds ratios variance components from hierarchical mixed-effects logistic regression in-hospital mortality, 90-day readmission, as well hospital-specific risk-adjusted rates standardized rate a mean annual surgical volume 10 more. Results Across patients hospitals, 8.9% aged 18 44 years 45.9% 65 older, 57.4% women, 18.2% nonwhite. Among these, 1240 (0.9%) died during index admission. 137 559 discharged alive, 19 670 (14.3%) readmitted 1754 (1.3%) 90 days. After adjusting patient case-mix differences, evidence statistically significant risk across was identified, characterized random effects mixed model, all 3 metrics (P  Conclusions Relevance Accounting there appears be substantial mortality after procedures. Recognizing multifaceted nature performance consideration simultaneously may help prioritize strategies improving outcomes.

参考文章(40)
Russell C. Langan, Chun-Chih Huang, Scott Colton, Arnold L. Potosky, Lynt B. Johnson, Nawar M. Shara, Waddah B. Al-Refaie, Readmissions after major cancer surgery among older adults. Surgery. ,vol. 158, pp. 428- 437 ,(2015) , 10.1016/J.SURG.2015.01.028
Richard Sullivan, Olusegun Isaac Alatise, Benjamin O Anderson, Riccardo Audisio, Philippe Autier, Ajay Aggarwal, Charles Balch, Murray F Brennan, Anna Dare, Anil D'Cruz, Alexander M M Eggermont, Kenneth Fleming, Serigne Magueye Gueye, Lars Hagander, Cristian A Herrera, Hampus Holmer, André M Ilbawi, Anton Jarnheimer, Jia-fu Ji, T Peter Kingham, Jonathan Liberman, Andrew J M Leather, John G Meara, Swagoto Mukhopadhyay, Shilpa S Murthy, Sherif Omar, Groesbeck P Parham, C S Pramesh, Robert Riviello, Danielle Rodin, Luiz Santini, Shailesh V Shrikhande, Mark Shrime, Robert Thomas, Audrey T Tsunoda, Cornelis van de Velde, Umberto Veronesi, Dehannathparambil Kottarathil Vijaykumar, David Watters, Shan Wang, Yi-Long Wu, Moez Zeiton, Arnie Purushotham, Global cancer surgery: delivering safe, affordable, and timely cancer surgery Lancet Oncology. ,vol. 16, pp. 1193- 1224 ,(2015) , 10.1016/S1470-2045(15)00223-5
John D. Birkmeyer, Yating Sun, Sandra L. Wong, Therese A. Stukel, Hospital volume and late survival after cancer surgery Annals of Surgery. ,vol. 245, pp. 777- 783 ,(2007) , 10.1097/01.SLA.0000252402.33814.DD
Ryan P. Merkow, Mila H. Ju, Jeanette W. Chung, Bruce L. Hall, Mark E. Cohen, Mark V. Williams, Thomas C. Tsai, Clifford Y. Ko, Karl Y. Bilimoria, Underlying Reasons Associated With Hospital Readmission Following Surgery in the United States JAMA. ,vol. 313, pp. 483- 495 ,(2015) , 10.1001/JAMA.2014.18614
Justin B. Dimick, Douglas O. Staiger, Bruce L. Hall, Clifford Y. Ko, John D. Birkmeyer, Composite measures for profiling hospitals on surgical morbidity. Annals of Surgery. ,vol. 257, pp. 67- 72 ,(2013) , 10.1097/SLA.0B013E31827B6BE6
Mark E. Cohen, Clifford Y. Ko, Karl Y. Bilimoria, Lynn Zhou, Kristopher Huffman, Xue Wang, Yaoming Liu, Kari Kraemer, Xiangju Meng, Ryan Merkow, Warren Chow, Brian Matel, Karen Richards, Amy J. Hart, Justin B. Dimick, Bruce L. Hall, Optimizing ACS NSQIP Modeling for Evaluation of Surgical Quality and Risk: Patient Risk Adjustment, Procedure Mix Adjustment, Shrinkage Adjustment, and Surgical Focus Journal of the American College of Surgeons. ,vol. 217, pp. 336- 346.e1 ,(2013) , 10.1016/J.JAMCOLLSURG.2013.02.027
Patrick S. Romano, Leslie L. Roos, James G. Jollis, Presentation adapting a clinical comorbidity index for use with ICD-9-CM administrative data: Differing perspectives Journal of Clinical Epidemiology. ,vol. 46, pp. 1075- 1079 ,(1993) , 10.1016/0895-4356(93)90103-8
Donald J. Lucas, Aslam Ejaz, Danielle A. Bischof, Eric B. Schneider, Timothy M. Pawlik, Variation in readmission by hospital after colorectal cancer surgery. JAMA Surgery. ,vol. 149, pp. 1272- 1277 ,(2014) , 10.1001/JAMASURG.2014.988
Robert R. McMillan, Alexandra Berger, Camelia S. Sima, Feiran Lou, Joseph Dycoco, Valerie Rusch, Nabil P. Rizk, David R. Jones, James Huang, Thirty-Day Mortality Underestimates the Risk of Early Death After Major Resections for Thoracic Malignancies The Annals of Thoracic Surgery. ,vol. 98, pp. 1769- 1775 ,(2014) , 10.1016/J.ATHORACSUR.2014.06.024
Steven G. Self, Kung-Yee Liang, Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions Journal of the American Statistical Association. ,vol. 82, pp. 605- 610 ,(1987) , 10.1080/01621459.1987.10478472