메뉴 건너뛰기




Volumn 46, Issue 2, 2013, Pages 74-81

Improving the performance of risk-adjusted mortality modeling for colorectal cancer surgery by combining claims data and clinical data

Author keywords

Colorectal neoplasms; Colorectal surgery; Quality of health care

Indexed keywords

ADULT; AGED; ARTICLE; CALIBRATION; CANCER MORPHOLOGY; CANCER MORTALITY; CLINICAL DATA REPOSITORY; COLON RESECTION; COLORECTAL CANCER; COLORECTAL SURGERY; FEMALE; HEALTH INSURANCE; HUMAN; MAJOR CLINICAL STUDY; MALE; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; RECTUM RESECTION; RISK ASSESSMENT; SIGMOIDECTOMY; TREATMENT OUTCOME; CANCER STAGING; COLORECTAL NEOPLASMS; FACTUAL DATABASE; HEALTH CARE QUALITY; MIDDLE AGED; MORTALITY; PSYCHOLOGICAL MODEL; RISK; STATISTICAL MODEL; TEACHING HOSPITAL; THEORETICAL MODEL;

EID: 84876383148     PISSN: 19758375     EISSN: None     Source Type: Journal    
DOI: 10.3961/jpmph.2013.46.2.74     Document Type: Article
Times cited : (7)

References (38)
  • 1
    • 51449104585 scopus 로고    scopus 로고
    • Comparison of risk adjustment methodologies in surgical quality improvement
    • Steinberg SM, Popa MR, Michalek JA, Bethel MJ, Ellison EC. Comparison of risk adjustment methodologies in surgical quality improvement. Surgery 2008;144(4):662-667.
    • (2008) Surgery , vol.144 , Issue.4 , pp. 662-667
    • Steinberg, S.M.1    Popa, M.R.2    Michalek, J.A.3    Bethel, M.J.4    Ellison, E.C.5
  • 3
    • 36248995328 scopus 로고    scopus 로고
    • 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
    • DOI 10.1016/j.jamcollsurg.2007.08.013, PII S1072751507014111
    • Hall BL, Hirbe M, Waterman B, Boslaugh S, Dunagan WC. 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(6):767-777. (Pubitemid 350123598)
    • (2007) Journal of the American College of Surgeons , vol.205 , Issue.6 , pp. 767-777
    • Hall, B.L.1    Hirbe, M.2    Waterman, B.3    Boslaugh, S.4    Dunagan, W.C.5
  • 5
    • 34247512988 scopus 로고    scopus 로고
    • Comparison of clinical and administrative data sources for hospital coronary artery bypass graft surgery report cards
    • DOI 10.1161/CIRCULATIONAHA.106.633008
    • Shahian DM, Silverstein T, Lovett AF, Wolf RE, Normand SL. Comparison of clinical and administrative data sources for hospital coronary artery bypass graft surgery report cards. Circulation 2007;115(12):1518-1527. (Pubitemid 46648636)
    • (2007) Circulation , vol.115 , Issue.12 , pp. 1518-1527
    • Shahian, D.M.1    Silverstein, T.2    Lovett, A.F.3    Wolf, R.E.4    Normand, S.-L.T.5
  • 6
    • 13544250503 scopus 로고    scopus 로고
    • Mortality after noncardiac surgery: Prediction from administrative versus clinical data
    • DOI 10.1097/00005650-200502000-00009
    • Gordon HS, Johnson ML, Wray NP, Petersen NJ, Henderson WG, Khuri SF, et al. Mortality after noncardiac surgery: prediction from administrative versus clinical data. Med Care 2005; 43(2):159-167. (Pubitemid 40222634)
    • (2005) Medical Care , vol.43 , Issue.2 , pp. 159-167
    • Gordon, H.S.1    Johnson, M.L.2    Wray, N.P.3    Petersen, N.J.4    Henderson, W.G.5    Khuri, S.F.6    Geraci, J.M.7
  • 7
    • 34250637231 scopus 로고    scopus 로고
    • Comparison of risk-adjustment models using administrative or clinical data for outcome prediction in patients after myocardial infarction or coronary bypass surgery in Korea
    • DOI 10.1111/j.1742-1241.2007.01345.x
    • Park HK, Yoon SJ, Ahn HS, Ahn LS, Seo HJ, Lee SI, et al. Comparison of risk-adjustment models using administrative or clinical data for outcome prediction in patients after myocardial infarction or coronary bypass surgery in Korea. Int J Clin Pract 2007;61(7):1086-1090. (Pubitemid 46934617)
    • (2007) International Journal of Clinical Practice , vol.61 , Issue.7 , pp. 1086-1090
    • Park, H.-K.1    Yoon, S.-J.2    Ahn, H.-S.3    Ahn, L.S.4    Seo, H.-J.5    Lee, S.-I.6    Lee, K.S.7
  • 8
    • 44049098327 scopus 로고    scopus 로고
    • Comparing risk-prediction methods using administrative or clinical data in assessing excess in-hospital mortality in patients with acute myocardial infarction
    • Scott IA, Thomson PL, Narasimhan S. Comparing risk-prediction methods using administrative or clinical data in assessing excess in-hospital mortality in patients with acute myocardial infarction. Med J Aust 2008;188(6):332-336.
    • (2008) Med J Aust , vol.188 , Issue.6 , pp. 332-336
    • Scott, I.A.1    Thomson, P.L.2    Narasimhan, S.3
  • 10
    • 0031058361 scopus 로고    scopus 로고
    • Predictions of hospital mortality rates: A comparison of data sources
    • Pine M, Norusis M, Jones B, Rosenthal GE. Predictions of hospital mortality rates: a comparison of data sources. Ann Intern Med 1997;126(5):347-354. (Pubitemid 27102518)
    • (1997) Annals of Internal Medicine , vol.126 , Issue.5 , pp. 347-354
    • Pine, M.1    Norusis, M.2    Jones, B.3    Rosenthal, G.E.4
  • 11
    • 13544266214 scopus 로고    scopus 로고
    • Mortality after cardiac bypass surgery: Prediction from administrative versus clinical data
    • DOI 10.1097/00005650-200502000-00008
    • Geraci JM, Johnson ML, Gordon HS, Petersen NJ, Shroyer AL, Grover FL, et al. Mortality after cardiac bypass surgery: prediction from administrative versus clinical data. Med Care 2005; 43(2):149-158. (Pubitemid 40222633)
    • (2005) Medical Care , vol.43 , Issue.2 , pp. 149-158
    • Geraci, J.M.1    Johnson, M.L.2    Gordon, H.S.3    Petersen, N.J.4    Shroyer, A.L.5    Grover, F.L.6    Wray, N.P.7
  • 12
    • 77953418545 scopus 로고    scopus 로고
    • Multivariate analysis of the risk factors associated with complications and mortality after and emergency operation for obstructive, perforated colorectal cancer
    • Korean
    • Kang DB, Shin CY, Lee JK, Park WC. Multivariate analysis of the risk factors associated with complications and mortality after and emergency operation for obstructive, perforated colorectal cancer. J Korean Soc Coloproctol 2009;25(3):165-171 (Korean).
    • (2009) J Korean Soc Coloproctol , vol.25 , Issue.3 , pp. 165-171
    • Kang, D.B.1    Shin, C.Y.2    Lee, J.K.3    Park, W.C.4
  • 13
    • 84876400417 scopus 로고    scopus 로고
    • Prognostic factors associated with surgical mortality conferred by emergency operation in colorectal cancer
    • Korean
    • Lee HJ, Oh JH, Lee JN, Baek JH, Chung M, Lee WK, et al. Prognostic factors associated with surgical mortality conferred by emergency operation in colorectal cancer. J Korean Soc Coloproctol 2006;22(5):301-307 (Korean).
    • (2006) J Korean Soc Coloproctol , vol.22 , Issue.5 , pp. 301-307
    • Lee, H.J.1    Oh, J.H.2    Lee, J.N.3    Baek, J.H.4    Chung, M.5    Lee, W.K.6
  • 14
    • 13044263876 scopus 로고    scopus 로고
    • Prognostic factors in 2230 Korean colorectal cancer patients: Analysis of consecutively operated cases
    • DOI 10.1007/PL00012376
    • Park YJ, Park KJ, Park JG, Lee KU, Choe KJ, Kim JP. Prognostic factors in 2230 Korean colorectal cancer patients: analysis of consecutively operated cases. World J Surg 1999;23(7):721-726. (Pubitemid 29314417)
    • (1999) World Journal of Surgery , vol.23 , Issue.7 , pp. 721-726
    • Park, Y.J.1    Park, K.J.2    Park, J.-G.3    Lee, K.U.4    Choe, K.J.5    Kim, J.-P.6
  • 15
    • 84876361562 scopus 로고    scopus 로고
    • National Cancer Information Center [cited 2012 Dec 28]. Available from: (Korean
    • National Cancer Information Center. Incidence and mortality of cancer; 2012 [cited 2012 Dec 28]. Available from: http://www.cancer.go.kr/ncic/cics-f/ 01/011/index.html (Korean).
    • (2012) Incidence and Mortality of Cancer
  • 16
    • 84876404464 scopus 로고    scopus 로고
    • Ministry Of Health And Welfare; National Cancer Center. Cancer Facts And Figures 2009 (Korean
    • Ministry of Health and Welfare; National Cancer Center. Cancer facts and figures 2009. Seoul: Ministry of Health and Welfare; 2009, p. 2-28 (Korean).
    • Seoul: Ministry of Health and Welfare , vol.2009 , pp. 2-28
  • 17
    • 0030844917 scopus 로고    scopus 로고
    • Sample size determination for diagnostic accuracy studies involving binormal ROC curve indices
    • DOI 10.1002/(SICI)1097-0258(19970715)16:13<1529::AID-SIM565>3.0. CO;2-H
    • Obuchowski NA, McClish DK. Sample size determination for diagnostic accuracy studies involving binormal ROC curve indices. Stat Med 1997;16(13):1529-1542. (Pubitemid 27322656)
    • (1997) Statistics in Medicine , vol.16 , Issue.13 , pp. 1529-1542
    • Obuchowski, N.A.1    McClish, D.K.2
  • 19
    • 2342657396 scopus 로고    scopus 로고
    • Focus on research methods: Developing risk-adjusted 30-day hospital mortality rates
    • DOI 10.1002/nur.10110
    • Tourangeau AE, Tu JV. Developing risk-adjusted 30-day hospital mortality rates. Res Nurs Health 2003;26(6):483-496. (Pubitemid 38609962)
    • (2003) Research in Nursing and Health , vol.26 , Issue.6 , pp. 483-496
    • Tourangeau, A.E.1    Tu, J.V.2
  • 20
    • 0344394459 scopus 로고    scopus 로고
    • Operative mortality in colorectal cancer: Prospective national study
    • Tekkis PP, Poloniecki JD, Thompson MR, Stamatakis JD. Operative mortality in colorectal cancer: prospective national study. BMJ 2003;327(7425):1196-1201.
    • (2003) BMJ , vol.327 , Issue.7425 , pp. 1196-1201
    • Tekkis, P.P.1    Poloniecki, J.D.2    Thompson, M.R.3    Stamatakis, J.D.4
  • 21
    • 34249341210 scopus 로고    scopus 로고
    • Use of administrative data or clinical databases as predictors of risk of death in hospital: Comparison of models
    • Aylin P, Bottle A, Majeed A. Use of administrative data or clinical databases as predictors of risk of death in hospital: comparison of models. BMJ 2007;334(7602):1044.
    • (2007) BMJ , vol.334 , Issue.7602 , pp. 1044
    • Aylin, P.1    Bottle, A.2    Majeed, A.3
  • 22
    • 58449136962 scopus 로고    scopus 로고
    • Prognostic factors in survival of colorectal cancer patients after surgery
    • Mehrkhani F, Nasiri S, Donboli K, Meysamie A, Hedayat A. Prognostic factors in survival of colorectal cancer patients after surgery. Colorectal Dis 2009;11(2):157-161.
    • (2009) Colorectal Dis , vol.11 , Issue.2 , pp. 157-161
    • Mehrkhani, F.1    Nasiri, S.2    Donboli, K.3    Meysamie, A.4    Hedayat, A.5
  • 23
    • 33645506104 scopus 로고    scopus 로고
    • Prognostic factors of young patients with colon cancer after surgery
    • Liang H, Wang XN, Wang BG, Pan Y, Liu N, Wang DC, et al. Prognostic factors of young patients with colon cancer after surgery. World J Gastroenterol 2006;12(9):1458-1462.
    • (2006) World J Gastroenterol , vol.12 , Issue.9 , pp. 1458-1462
    • Liang, H.1    Wang, X.N.2    Wang, B.G.3    Pan, Y.4    Liu, N.5    Wang, D.C.6
  • 25
    • 0038070368 scopus 로고    scopus 로고
    • Survival of colorectal cancer patients hospitalized in the veterans affairs health care system
    • DOI 10.1111/j.1572-0241.2003.07448.x
    • Rabeneck L, Souchek J, El-Serag HB. Survival of colorectal cancer patients hospitalized in the Veterans Affairs Health Care System. Am J Gastroenterol 2003;98(5):1186-1192. (Pubitemid 36733786)
    • (2003) American Journal of Gastroenterology , vol.98 , Issue.5 , pp. 1186-1192
    • Rabeneck, L.1    Souchek, J.2    El-Serag, H.B.3
  • 26
    • 13144269613 scopus 로고    scopus 로고
    • Assessment of operative risk in colorectal cancer surgery: The cleveland clinic foundation colorectal cancer model
    • DOI 10.1007/s10350-004-0704-y
    • Fazio VW, Tekkis PP, Remzi F, Lavery IC. Assessment of operative risk in colorectal cancer surgery: the Cleveland Clinic Foundation colorectal cancer model. Dis Colon Rectum 2004; 47(12):2015-2024. (Pubitemid 40179059)
    • (2004) Diseases of the Colon and Rectum , vol.47 , Issue.12 , pp. 2015-2024
    • Fazio, V.W.1    Tekkis, P.P.2    Remzi, F.3    Lavery, I.C.4
  • 27
    • 0142152155 scopus 로고    scopus 로고
    • Prognostic factors in 165 elderly colorectal cancer patients
    • Nan KJ, Qin HX, Yang G. Prognostic factors in 165 elderly colorectal cancer patients. World J Gastroenterol 2003;9(10): 2207-2210. (Pubitemid 37321446)
    • (2003) World Journal of Gastroenterology , vol.9 , Issue.10 , pp. 2207-2210
    • Nan, K.-J.1    Qin, H.-X.2    Yang, G.3
  • 31
    • 0030069896 scopus 로고    scopus 로고
    • Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • DOI 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2- 4
    • Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996; 15(4):361-387. (Pubitemid 26072233)
    • (1996) Statistics in Medicine , vol.15 , Issue.4 , pp. 361-387
    • Harrell Jr., F.E.1    Lee, K.L.2    Mark, D.B.3
  • 32
    • 80052896776 scopus 로고    scopus 로고
    • An introduction to the bootstrap
    • Johnson RW. An introduction to the bootstrap. Teach Stat 2001;23(2):49-54.
    • (2001) Teach Stat , vol.23 , Issue.2 , pp. 49-54
    • Johnson, R.W.1
  • 34
    • 0020524559 scopus 로고
    • A method of comparing the areas under receiver operating characteristic curves derived from the same cases
    • Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983;148(3):839-843. (Pubitemid 13033817)
    • (1983) Radiology , vol.148 , Issue.3 , pp. 839-843
    • Hanley, J.A.1    McNeil, B.J.2
  • 35
    • 0034732710 scopus 로고    scopus 로고
    • Prognostic modelling with logistic regression analysis: A comparison of selection and estimation methods in small data sets
    • DOI 10.1002/(SICI)1097-0258(20000430)19:8<1059::AID-SIM412>3.0. CO;2-0
    • Steyerberg EW, Eijkemans MJ, Harrell FE Jr, Habbema JD. Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets. Stat Med 2000;19(8):1059-1079. (Pubitemid 30238915)
    • (2000) Statistics in Medicine , vol.19 , Issue.8 , pp. 1059-1079
    • Steyerberg, E.W.1    Eijkemans, M.J.C.2    Harrell Jr., F.E.3    Habbema, J.D.F.4
  • 36
    • 53749101312 scopus 로고    scopus 로고
    • Directing surgical quality improvement initiatives: Comparison of perioperative mortality and longterm survival for cancer surgery
    • Bilimoria KY, Bentrem DJ, Feinglass JM, Stewart AK, Winchester DP, Talamonti MS, et al. Directing surgical quality improvement initiatives: comparison of perioperative mortality and longterm survival for cancer surgery. J Clin Oncol 2008;26(28): 4626-4633.
    • (2008) J Clin Oncol , vol.26 , Issue.28 , pp. 4626-4633
    • Bilimoria, K.Y.1    Bentrem, D.J.2    Feinglass, J.M.3    Stewart, A.K.4    Winchester, D.P.5    Talamonti, M.S.6
  • 38
    • 3042512028 scopus 로고    scopus 로고
    • The association of coloproctology of Great Britain and Ireland study of large bowel obstruction caused by colorectal cancer
    • DOI 10.1097/01.sla.0000130723.81866.75
    • Tekkis PP, Kinsman R, Thompson MR, Stamatakis JD; Association of Coloproctology of Great Britain, Ireland. The Association of Coloproctology of Great Britain and Ireland study of large bowel obstruction caused by colorectal cancer. Ann Surg 2004;240(1):76-81. (Pubitemid 38808237)
    • (2004) Annals of Surgery , vol.240 , Issue.1 , pp. 76-81
    • Tekkis, P.P.1    Kinsman, R.2    Thompson, M.R.3    Stamatakis, J.D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.