Developing a Claim-based Version of the ACE-27 Comorbidity Index A Comparison With Medical Record Review

被引:30
作者
Fleming, Steven T. [1 ]
Sabatino, Susan A. [2 ]
Kimmick, Gretchen [3 ]
Cress, Rosemary [4 ,5 ]
Wu, Xiao-Cheng [6 ]
Trentham-Dietz, Amy [7 ,8 ]
Huang, Bin [9 ]
Hwang, Wenke [10 ]
Liff, Jonathan [11 ]
机构
[1] Univ Kentucky, Dept Epidemiol, Coll Publ Hlth, Lexington, KY 40536 USA
[2] Ctr Dis Control & Prevent, Div Canc Prevent & Control, Atlanta, GA USA
[3] Duke Univ, Med Ctr, Dept Internal Med, Sect Hematol Oncol, Durham, NC 27710 USA
[4] Univ Calif Davis, Calif Canc Registry, Inst Publ Hlth, Sacramento, CA 95817 USA
[5] Univ Calif Davis, Dept Publ Hlth Sci, Sacramento, CA 95817 USA
[6] LSU Hlth Sci Ctr, Epidemiol Program, Sch Publ Hlth, New Orleans, LA USA
[7] Univ Wisconsin, Dept Populat Hlth Sci, Madison, WI USA
[8] Univ Wisconsin, Carbone Canc Ctr, Madison, WI USA
[9] Univ Kentucky, Dept Biostat, Coll Publ Hlth, Lexington, KY 40536 USA
[10] Penn State Univ, Coll Med, Dept Publ Hlth Sci, Hershey, PA USA
[11] Emory Univ, Rollins Sch Publ Hlth, Dept Epidemiol, Atlanta, GA 30322 USA
关键词
breast cancer; prostate cancer; comorbidity; epidemiology; BREAST-CANCER; CO-MORBIDITY; ADMINISTRATIVE DATABASES; RISK ADJUSTMENT; OLDER; MORTALITY; SURVIVAL; STAGE; ILLNESS; WOMEN;
D O I
10.1097/MLR.0b013e318215d7dd
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objectives: The adult comorbidity evaluation (ACE-27) is a medical record-based comorbidity index that predicts survival among various types of cancer patients. The purpose of this study was to compare the medical record-based ACE-27 instrument to a newly developed administrative claim-based ACE-27 measure. Study Design and Setting: Cross-sectional study of 4,300 breast and prostate cancer patients from the Centers for Disease Control and Prevention Patterns of Care Study. Results: Comorbidities with the highest concordance were diabetes (sensitivity = 84.6%, kappa = 0.58 for breast cancer patients; sensitivity = 0.764, kappa = 0.54 for prostate cancer patients), and hypertension (sensitivity = 78.5%, kappa = 0.32 for breast cancer patients; sensitivity = 69.6%, kappa = 0.28 for prostate cancer patients). Diseases with fair or moderate agreement in one or both cancer sites include congestive heart failure, arrhythmia, hypertension, respiratory diseases, hepatic disease, renal disease, dementia, and neuromuscular disease. For overall indices, agreement was fair but with high sensitivities in the collapsed indices, and the highest sensitivities in the lowest level of decompensation. Conclusions: The ACE-27 comorbidity score derived from administrative claims data provides a tool to examine the relationship between comorbidity, cancer diagnosis, and outcomes in future epidemiologic research, particularly when medical record review is logistically impossible. The classification of most comorbidities into 2 or 3 levels of severity within a claim-based measure is a major development. Future research should be directed toward refining the measure with a longer review period or different paradigms for diagnosis identification, and testing the predictive ability of the measure in terms of survival, complications, or other outcomes of care.
引用
收藏
页码:752 / 760
页数:9
相关论文
共 42 条
[1]   Factors associated with surgical and radiation therapy for early stage breast cancer in older women [J].
BallardBarbash, R ;
Potosky, AL ;
Harlan, LC ;
Nayfield, SG ;
Kessler, LG .
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1996, 88 (11) :716-726
[2]   Comorbidity measurement in patients with laryngeal squamous cell carcinoma [J].
Castro, Mario A. F. ;
Dedivitis, Rogerio A. ;
Ribeiro, Karina C. B. .
ORL-JOURNAL FOR OTO-RHINO-LARYNGOLOGY AND ITS RELATED SPECIALTIES, 2007, 69 (03) :146-152
[3]   A NEW METHOD OF CLASSIFYING PROGNOSTIC CO-MORBIDITY IN LONGITUDINAL-STUDIES - DEVELOPMENT AND VALIDATION [J].
CHARLSON, ME ;
POMPEI, P ;
ALES, KL ;
MACKENZIE, CR .
JOURNAL OF CHRONIC DISEASES, 1987, 40 (05) :373-383
[4]   How to measure comorbidity: a critical review of available methods [J].
de Groot, V ;
Beckerman, H ;
Lankhorst, GJ ;
Bouter, LM .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2003, 56 (03) :221-229
[5]   ADAPTING A CLINICAL COMORBIDITY INDEX FOR USE WITH ICD-9-CM ADMINISTRATIVE DATABASES [J].
DEYO, RA ;
CHERKIN, DC ;
CIOL, MA .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1992, 45 (06) :613-619
[6]   Comorbidity measures for use with administrative data [J].
Elixhauser, A ;
Steiner, C ;
Harris, DR ;
Coffey, RN .
MEDICAL CARE, 1998, 36 (01) :8-27
[7]   Adjuvant radiotherapy on older and oldest elderly rectal cancer patients [J].
Fiorica, F. ;
Cartei, F. ;
Carau, B. ;
Berretta, S. ;
Sparta, D. ;
Tirelli, U. ;
Santangelo, A. ;
Maugeri, D. ;
Luca, S. ;
Leotta, C. ;
Sorace, R. ;
Berretta, M. .
ARCHIVES OF GERONTOLOGY AND GERIATRICS, 2009, 49 (01) :54-59
[8]   Comorbidity as a predictor of stage of illness for patients with breast cancer [J].
Fleming, ST ;
Pursley, HG ;
Newman, B ;
Pavlov, D ;
Chen, K .
MEDICAL CARE, 2005, 43 (02) :132-140
[9]   A comprehensive prognostic index to predict survival based on multiple comorbidities - A focus on breast cancer [J].
Fleming, ST ;
Rastogi, A ;
Dmitrienko, A ;
Johnson, KD .
MEDICAL CARE, 1999, 37 (06) :601-614
[10]  
FLEMING ST, 2006, TSW UROLOGY, V1, P163