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Volumn 45, Issue 2, 2010, Pages 532-552

Using information on clinical conditions to predict high-cost patients

Author keywords

Chronic conditions; DCG models; Health care expenditures; Prediction models

Indexed keywords

ADULT; ARTICLE; CHRONIC DISEASE; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; HEALTH CARE COST; HEALTH STATUS; HUMAN; MALE; MEDICAID; MEDICAL INFORMATION; MEDICARE; PATIENT CARE; PREDICTION; PREVALENCE; PROSPECTIVE STUDY; RISK FACTOR; SCORING SYSTEM; SELF REPORT; THEORETICAL MODEL;

EID: 77949296349     PISSN: 00179124     EISSN: 14756773     Source Type: Journal    
DOI: 10.1111/j.1475-6773.2009.01080.x     Document Type: Article
Times cited : (84)

References (42)
  • 1
    • 77949286307 scopus 로고    scopus 로고
    • AHRQ PUF Data Files. MEPS HC-087: 2004 Medical Conditions. Rockville MD: Agency for Healthcare Research and Quality, November, 2006 [accessed on April 14, 2009]. Available at
    • AHRQ PUF Data Files. MEPS HC-087: 2004 Medical Conditions. Rockville MD: Agency for Healthcare Research and Quality, November, 2006 [accessed on April 14, 2009]. Available at
  • 2
    • 77949289572 scopus 로고    scopus 로고
    • AHRQ. Chronic Condition Indicator for ICD-9-CM. Agency for Healthcare Research and Quality [accessed on September 30, 2009]. Available at
    • AHRQ. Chronic Condition Indicator for ICD-9-CM. Agency for Healthcare Research and Quality [accessed on September 30, 2009]. Available at
  • 3
    • 3042587286 scopus 로고    scopus 로고
    • The growing burden of chronic disease in america
    • Anderson, G. F. J. Horvath. 2004 The Growing Burden of Chronic Disease in America Public Health Reports 119 : 263 270.
    • (2004) Public Health Reports , vol.119 , pp. 263-270
    • Anderson, G.F.1    Horvath, J.2
  • 4
    • 33646511794 scopus 로고    scopus 로고
    • Goodness-of-fit test for a logistic regression model fitted using survey sample data
    • Archer, K. J. S. Lemeshow. 2006 Goodness-of-Fit Test for a Logistic Regression Model Fitted Using Survey Sample Data The Stata Journal 6 : 97 105.
    • (2006) The Stata Journal , vol.6 , pp. 97-105
    • Archer, K.J.1    Lemeshow, S.2
  • 6
    • 0142089273 scopus 로고    scopus 로고
    • Using claims data to examine mortality trends following hospitalization for heart attack in medicare
    • Ash, A. S., M. A. Posner, J. Speckman, S. Franco, A. C. Yacht L. Bramwell. 2003 Using Claims Data to Examine Mortality Trends Following Hospitalization for Heart Attack in Medicare Health Services Research 38 : 1253 1262.
    • (2003) Health Services Research , vol.38 , pp. 1253-1262
    • Ash, A.S.1    Posner, M.A.2    Speckman, J.3    Franco, S.4    Yacht, A.C.5    Bramwell, L.6
  • 7
    • 0033611592 scopus 로고    scopus 로고
    • 2: A useful measure of model performance when predicting a dichotomous outcome
    • 2: A Useful Measure of Model Performance When Predicting a Dichotomous Outcome Statistics in Medicine 18 : 375 384.
    • (1999) Statistics in Medicine , vol.18 , pp. 375-384
    • Ash, A.S.1    Shwartz, M.2
  • 8
    • 0010340068 scopus 로고    scopus 로고
    • Finding future high-cost cases: Comparing prior cost versus diagnosis-based methods
    • Ash, A. S., Y. Zhao, R. P. Ellis M. S. Kramer. 2001 Finding Future High-Cost Cases: Comparing Prior Cost versus Diagnosis-Based Methods Health Services Research 36 (part II) : 194 206.
    • (2001) Health Services Research , vol.36 , Issue.PART II , pp. 194-206
    • Ash, A.S.1    Zhao, Y.2    Ellis, R.P.3    Kramer, M.S.4
  • 9
    • 33747822933 scopus 로고    scopus 로고
    • In search of the perfect comorbidity measure for use with administrative claims data: Does it exist?
    • Baldwin, L.-M., C. N. Klabunde, P. Green, W. Barlow G. Wright. 2006 In Search of the Perfect Comorbidity Measure for Use with Administrative Claims Data: Does It Exist? Medical Care 44 : 745 753.
    • (2006) Medical Care , vol.44 , pp. 745-753
    • Baldwin, L.-M.1    Klabunde, C.N.2    Green, P.3    Barlow, W.4    Wright, G.5
  • 10
    • 51249097814 scopus 로고    scopus 로고
    • The estimation power of alternative comorbidity indices
    • Baser, O., L. Palmer J. Stephenson. 2008 The Estimation Power of Alternative Comorbidity Indices Value in Health 11 : 946 955.
    • (2008) Value in Health , vol.11 , pp. 946-955
    • Baser, O.1    Palmer, L.2    Stephenson, J.3
  • 12
    • 20544436366 scopus 로고    scopus 로고
    • Use of a self-generated charlson morbidity index for predicting mortality
    • Chaudhry, S., L. Jin D. Meltzer. 2005 Use of a Self-Generated Charlson Morbidity Index for Predicting Mortality Medical Care 43 : 607 615.
    • (2005) Medical Care , vol.43 , pp. 607-615
    • Chaudhry, S.1    Jin, L.2    Meltzer, D.3
  • 13
    • 0037364996 scopus 로고    scopus 로고
    • Spending and service use among people with the fifteen most costly medical conditions, 1997
    • Cohen, J. W. N. A. Krauss. 2003 Spending and Service Use among People with the Fifteen Most Costly Medical Conditions, 1997 Health Affairs 22 : 129 138.
    • (2003) Health Affairs , vol.22 , pp. 129-138
    • Cohen, J.W.1    Krauss, N.A.2
  • 17
    • 77949305699 scopus 로고    scopus 로고
    • Clinical Classifications for Health Policy Research: Hospital Inpatient Statistics, 1995. Healthcare Cost and Utilization Project, HCUP-3 Research Note, AHRQ PUB 98-0049, Rockville, MD: Agency for Healthcare Research and Quality.
    • Elixhauser, A., C. A. Steiner, C. A. Whittington E. McCarthy. 1998. Clinical Classifications for Health Policy Research: Hospital Inpatient Statistics, 1995. Healthcare Cost and Utilization Project, HCUP-3 Research Note, AHRQ PUB 98-0049, Rockville, MD: Agency for Healthcare Research and Quality.
    • (1998)
    • Elixhauser, A.1    Steiner, C.A.2    Whittington, C.A.3    McCarthy, E.4
  • 18
    • 37849188990 scopus 로고    scopus 로고
    • Comparison of risk adjustment measures based on self-report, administrative data, and pharmacy records to predict clinical outcomes
    • Fan, V. S., M. L. Maciejewski, C.-F. Liu, M. B. McDonnell S. D. Fihn. 2006 Comparison of Risk Adjustment Measures Based on Self-Report, Administrative Data, and Pharmacy Records to Predict Clinical Outcomes Health Services and Outcomes Research Methodology 6 : 21 36.
    • (2006) Health Services and Outcomes Research Methodology , vol.6 , pp. 21-36
    • Fan, V.S.1    MacIejewski, M.L.2    Liu, C.-F.3    McDonnell, M.B.4    Fihn, S.D.5
  • 19
    • 32944479755 scopus 로고    scopus 로고
    • A comparison of comorbidity measurements to predict healthcare expenditures
    • Farley, J. F., C. R. Harley J. W. Devine. 2006 A Comparison of Comorbidity Measurements to Predict Healthcare Expenditures American Journal of Managed Care 12 : 110 117.
    • (2006) American Journal of Managed Care , vol.12 , pp. 110-117
    • Farley, J.F.1    Harley, C.R.2    Devine, J.W.3
  • 20
    • 33646798449 scopus 로고    scopus 로고
    • Using the SF-12 health status measure to improve predictions of medical expenditures
    • Fleishman, J. A., J. W. Cohen, W. G. Manning M. Kosinski. 2006 Using the SF-12 Health Status Measure to Improve Predictions of Medical Expenditures Medical Care 44 (suppl) : I-54 63.
    • (2006) Medical Care , vol.44 , Issue.SUPPL. , pp. 54-63
    • Fleishman, J.A.1    Cohen, J.W.2    Manning, W.G.3    Kosinski, M.4
  • 22
    • 0028963575 scopus 로고
    • Assessing relative health plan risk with the RAND-36 health survey
    • Hornbrook, M. C. M. J. Goodman. 1995 Assessing Relative Health Plan Risk with the RAND-36 Health Survey Inquiry 32 : 56 74.
    • (1995) Inquiry , vol.32 , pp. 56-74
    • Hornbrook, M.C.1    Goodman, M.J.2
  • 24
    • 3042749831 scopus 로고    scopus 로고
    • Out-of-pocket medical spending for care of chronic conditions
    • Hwang, W., W. Helle, H. Ireys G. Anderson. 2001 Out-of-Pocket Medical Spending for Care of Chronic Conditions Health Affairs 20 : 267 278.
    • (2001) Health Affairs , vol.20 , pp. 267-278
    • Hwang, W.1    Helle, W.2    Ireys, H.3    Anderson, G.4
  • 26
    • 77949291497 scopus 로고    scopus 로고
    • Health Care Expenses for Adults with Chronic Conditions, 2005. Statistical brief 203, May, 2008, Rockville, MD, Agency for Healthcare Research and Quality [accessed April 14, 2009]. Available at
    • Machlin, S., J. W. Cohen K. Beauregard. 2008. Health Care Expenses for Adults with Chronic Conditions, 2005. Statistical brief 203, May, 2008, Rockville, MD, Agency for Healthcare Research and Quality [accessed April 14, 2009]. Available at
    • (2008)
    • MacHlin, S.1    Cohen, J.W.2    Beauregard, K.3
  • 27
    • 77949291324 scopus 로고    scopus 로고
    • Design, Methods, and Field Results of the 1996 Medical Expenditure Panel Survey Medical Provider Component, MEPS Methodology Report No. 9. Rockville, MD, Agency for Healthcare Research and Quality, AHRQ Pub No. 00-0028
    • Machlin, S. R. A. K. Taylor. 2000. Design, Methods, and Field Results of the 1996 Medical Expenditure Panel Survey Medical Provider Component, MEPS Methodology Report No. 9. Rockville, MD, Agency for Healthcare Research and Quality, AHRQ Pub No. 00-0028
    • (2000)
    • MacHlin, S.R.1    Taylor, A.K.2
  • 28
    • 67449091660 scopus 로고    scopus 로고
    • Sensitivity of household reported medical conditions in the medical expenditure panel survey
    • Machlin, S. W., J. Cohen, A. Elixhauser, K. Beauregard C. Steiner. 2009 Sensitivity of Household Reported Medical Conditions in the Medical Expenditure Panel Survey Medical Care 47 : 618 625.
    • (2009) Medical Care , vol.47 , pp. 618-625
    • MacHlin, S.W.1    Cohen, J.2    Elixhauser, A.3    Beauregard, K.4    Steiner, C.5
  • 29
    • 20344390769 scopus 로고    scopus 로고
    • The performance of administrative and self-reported measures for risk adjustment of veterans affairs expenditures
    • Maciejewski, M. C., C.-F. Liu, A. Derleth, M. McDonnell, S. Anderson S. D. Fihn. 2005 The Performance of Administrative and Self-Reported Measures for Risk Adjustment of Veterans Affairs Expenditures Health Services Research 40 : 887 904.
    • (2005) Health Services Research , vol.40 , pp. 887-904
    • MacIejewski, M.C.1    Liu, C.-F.2    Derleth, A.3    McDonnell, M.4    Anderson, S.5    Fihn, S.D.6
  • 30
    • 64549149405 scopus 로고    scopus 로고
    • Performance of comorbidity, risk adjustment, and functional status measures in expenditure prediction for patients with diabetes
    • Maciejewski, M. C., C.-F. Liu S. D. Fihn. 2009 Performance of Comorbidity, Risk Adjustment, and Functional Status Measures in Expenditure Prediction for Patients with Diabetes Diabetes Care 32 : 75 80.
    • (2009) Diabetes Care , vol.32 , pp. 75-80
    • MacIejewski, M.C.1    Liu, C.-F.2    Fihn, S.D.3
  • 33
    • 0029044623 scopus 로고
    • Selecting a patient characteristics index for the prediction of medical outcomes using administrative claims data
    • Melfi, C., E. Holleman, D. Arthur B. Katz. 1995 Selecting a Patient Characteristics Index for the Prediction of Medical Outcomes Using Administrative Claims Data Journal of Clinical Epidemiology 48 : 917 926.
    • (1995) Journal of Clinical Epidemiology , vol.48 , pp. 917-926
    • Melfi, C.1    Holleman, E.2    Arthur, D.3    Katz, B.4
  • 35
    • 6344263679 scopus 로고    scopus 로고
    • Predicting healthcare costs in a population of veterans affairs beneficiaries using diagnosis-based risk adjustment and self-reported health status
    • Pietz, K., C. M. Ashton, M. McDonnell N. Wray. 2004 Predicting Healthcare Costs in a Population of Veterans Affairs Beneficiaries Using Diagnosis-Based Risk Adjustment and Self-Reported Health Status Medical Care 42 : 1027 1035.
    • (2004) Medical Care , vol.42 , pp. 1027-1035
    • Pietz, K.1    Ashton, C.M.2    McDonnell, M.3    Wray, N.4
  • 37
    • 0001201909 scopus 로고
    • Bayesian model selection in social research
    • In. edited by. A. E. Raftery. pp. . Oxford, England. Blackwell.
    • Raftery, A. E. 1995 Bayesian Model Selection in Social Research In Sociological Methodology, edited by A. E. Raftery, pp. 111 163, Oxford, England : Blackwell.
    • (1995) Sociological Methodology , pp. 111-163
    • Raftery, A.E.1
  • 38
    • 0142061546 scopus 로고    scopus 로고
    • Predicting elderly at risk of increased future healthcare use: How much does diagnostic information add to prior utilization?
    • Rakovski, C. C., A. K. Rosen, F. Wang D. R. Berlowitz. 2002 Predicting Elderly at Risk of Increased Future Healthcare Use: How Much Does Diagnostic Information Add to Prior Utilization? Health Services and Outcomes Research Methodology 3 : 267 277.
    • (2002) Health Services and Outcomes Research Methodology , vol.3 , pp. 267-277
    • Rakovski, C.C.1    Rosen, A.K.2    Wang, F.3    Berlowitz, D.R.4
  • 39
    • 41249096662 scopus 로고    scopus 로고
    • Comorbidity information in older patients at an emergency visit: Self-report vs. administrative data have poor agreement but similar predictive validity
    • Susser, S. R., J. McCusker E. Belzile. 2008 Comorbidity Information in Older Patients at an Emergency Visit: Self-Report vs. Administrative Data Have Poor Agreement but Similar Predictive Validity Journal of Clinical Epidemiology 61 : 511 515.
    • (2008) Journal of Clinical Epidemiology , vol.61 , pp. 511-515
    • Susser, S.R.1    McCusker, J.2    Belzile, E.3
  • 40
    • 0030096228 scopus 로고    scopus 로고
    • A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity
    • Ware, J. E., M. Kosinski S. D. Keller. 1996 A 12-Item Short-Form Health Survey: Construction of Scales and Preliminary Tests of Reliability and Validity Medical Care 34 : 220 233.
    • (1996) Medical Care , vol.34 , pp. 220-233
    • Ware, J.E.1    Kosinski, M.2    Keller, S.D.3
  • 41
    • 0026877917 scopus 로고
    • The mos 36-item short-form health survey (sf-36): I conceptual framework and item selection
    • Ware, J. E. C. D. Sherbourne. 1992 The MOS 36-Item Short-Form Health Survey (SF-36): I Conceptual Framework and Item Selection Medical Care 30 : 473 478.
    • (1992) Medical Care , vol.30 , pp. 473-478
    • Ware, J.E.1    Sherbourne, C.D.2
  • 42
    • 0034662310 scopus 로고    scopus 로고
    • Summarizing the predictive power of a generalized linear model
    • Zheng, B. A. Agresti. 2000 Summarizing the Predictive Power of a Generalized Linear Model Statistics in Medicine 19 : 1771 1778.
    • (2000) Statistics in Medicine , vol.19 , pp. 1771-1778
    • Zheng, B.1    Agresti, A.2


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