Development and evaluation of the universal ACS NSQIP surgical risk calculator: A decision aid and informed consent tool for patients and surgeons

Journal of the American College of Surgeons

Volumn 217, Issue 5, 2013, Pages

  Bilimoria, Karl Y ^a,b   Liu, Yaoming ^a   Paruch, Jennifer L ^a   Zhou, Lynn ^a   Kmiecik, Thomas E ^b   Ko, Clifford Y ^a,c   Cohen, Mark E ^a  

^a American College of Surgens   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CLINICAL ASSESSMENT TOOL; COMORBIDITY; CONTROLLED STUDY; CURRENT PROCEDURAL TERMINOLOGY; DECISION SUPPORT SYSTEM; DEEP VEIN THROMBOSIS; DEMOGRAPHY; FEMALE; HEART DISEASE; HIGH RISK PATIENT; HUMAN; INFORMED CONSENT; INTERNET; MAJOR CLINICAL STUDY; MALE; MEDICAL DECISION MAKING; MEDICAL SOCIETY; MORBIDITY; PATIENT DECISION MAKING; PNEUMONIA; POSTOPERATIVE COMPLICATION; POSTOPERATIVE INFECTION; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SURGEON; SURGEON ADJUSTMENT SCORE; SURGICAL INFECTION; SURGICAL MORTALITY; SURGICAL PATIENT; SURGICAL RISK; UNIVERSAL AMERICAN COLLEGE OF SURGEONS NATIONAL SURGICAL QUALITY IMPROVEMENT PROGRAM SURGICAL RISK CALCULATOR; URINARY TRACT INFECTION;

EID: 84887459860     PISSN: 10727515     EISSN: 18791190     Source Type: Journal    
DOI: 10.1016/j.jamcollsurg.2013.07.385     Document Type: Article

References (25)

1. J.A. Walker What is the effect of preoperative information on patient satisfaction? Br J Nurs 16 2007 27 32
2. W.K. Leclercq, B.J. Keulers, and M.R. Scheltinga A review of surgical informed consent: past, present, and future. A quest to help patients make better decisions World J Surg 34 2010 1406 1415
3. A.M. Knops, D.A. Legemate, and A. Goossens Decision aids for patients facing a surgical treatment decision: a systematic review and meta-analysis Ann Surg 257 2013 860 866
4. Y. Schenker, A. Fernandez, and R. Sudore Interventions to improve patient comprehension in informed consent for medical and surgical procedures: a systematic review Med Decis Making 31 2011 151 173
5. Measure Application Partnership Pre-Rule Making Report 2013. Available at: http://www.qualityforum.org/Publications/2013/02/MAP-Pre-Rulemaking-Report-- -February-2013.aspx. Accessed May 2, 2013.
6. B.L. Hall, B.H. Hamilton, and K. Richards Does surgical quality improve in the American College of Surgeons National Surgical Quality Improvement Program: an evaluation of all participating hospitals Ann Surg 250 2009 363 376
7. A.M. Ingraham, K.E. Richards, and B.L. Hall Quality improvement in surgery: the American College of Surgeons National Surgical Quality Improvement Program approach Adv Surg 44 2010 251 267
8. M.E. Cohen, C.Y. Ko, and K.Y. Bilimoria Optimizing ACS NSQIP modeling for evaluation of surgical quality and risk: patient risk adjustment, procedure mix adjustment, shrinkage adjustment, and surgical focus J Am Coll Surg 2013 April 26 [Epub ahead of print]
9. M.E. Cohen, K.Y. Bilimoria, and C.Y. Ko Development of an American College of Surgeons National Surgery Quality Improvement Program: morbidity and mortality risk calculator for colorectal surgery J Am Coll Surg 208 2009 1009 1016
10. B.L. Hall, K. Richards, and A. Ingraham New approaches to the National Surgical Quality Improvement Program: the American College of Surgeons experience Am J Surg 198 2009 S56 S62
11. M. Shiloach, S.K. Frencher Jr., and J.E. Steeger Toward robust information: data quality and inter-rater reliability in the American College of Surgeons National Surgical Quality Improvement Program J Am Coll Surg 210 2010 6 16
12. K.Y. Bilimoria, M.E. Cohen, and A.M. Ingraham Effect of postdischarge morbidity and mortality on comparisons of hospital surgical quality Ann Surg 252 2010 183 190
13. R.P. Merkow, B.L. Hall, and M.E. Cohen Relevance of the c-statistic when evaluating risk-adjustment models in surgery J Am Coll Surg 214 2012 822 830
14. A.A. Kramer, and J.E. Zimmerman Assessing the calibration of mortality benchmarks in critical care: The Hosmer-Lemeshow test revisited Crit Care Med 35 2007 2052 2056
15. G.W. Brier Verification of forcasts expressed in terms of probability Monthly Weather Review 78 1950 1 3
16. E.W. Steyerberg, A.J. Vickers, and N.R. Cook Assessing the performance of prediction models: a framework for traditional and novel measures Epidemiology 21 2010 128 138
17. J.F. Finks, K.L. Kole, and P.R. Yenumula Predicting risk for serious complications with bariatric surgery: results from the Michigan Bariatric Surgery Collaborative Ann Surg 254 2011 633 640
18. P.K. Gupta, C. Franck, and W.J. Miller Development and validation of a bariatric surgery morbidity risk calculator using the prospective, multicenter NSQIP dataset J Am Coll Surg 212 2011 301 309
19. P.K. Gupta, H. Gupta, and A. Sundaram Development and validation of a risk calculator for prediction of cardiac risk after surgery Circulation 124 2011 381 387
20. P. Parikh, M. Shiloach, and M.E. Cohen Pancreatectomy risk calculator: an ACS-NSQIP resource HPB (Oxford) 12 2010 488 497
21. E.H. Lawson, R. Louie, and D.S. Zingmond A comparison of clinical registry versus administrative claims data for reporting of 30-day surgical complications Ann Surg 256 2012 973 981
22. J.C. Woodfield, R.A. Pettigrew, and L.D. Plank Accuracy of the surgeons' clinical prediction of perioperative complications using a visual analog scale World J Surg 31 2007 1912 1920
23. P.L. Schilling, B.R. Hallstrom, and J.D. Birkmeyer Prioritizing perioperative quality improvement in orthopaedic surgery J Bone Joint Surg Am 92 2010 1884 1889
24. J.B. Dimick, N.H. Osborne, and B.L. Hall Risk adjustment for comparing hospital quality with surgery: how many variables are needed? J Am Coll Surg 210 2010 503 508
25. C.Y. Ko, J.T. Chang, and S. Chaudhry Are high-volume surgeons and hospitals the most important predictors of in-hospital outcome for colon cancer resection? Surgery 132 2002 268 273