Investigating the Impact of Medicare, Part D on the Diabetes Medications Using Enterprise Miner and Survival Analysis Xiao Wang , PhD Candidate, Department.

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Presentation transcript:

Investigating the Impact of Medicare, Part D on the Diabetes Medications Using Enterprise Miner and Survival Analysis Xiao Wang , PhD Candidate, Department of Mathematics, University of Louisville, KY Copyright © 2010, SAS Institute Inc. All rights reserved.

Introduction to the study Methods in detail Conclusion Outline Introduction to the study Methods in detail Conclusion Copyright © 2010, SAS Institute Inc. All rights reserved.

Introduction Aim of the paper: Data Source: To investigate the influence of Medicare, Part D on diabetes medications since its introduction in 2006 Data Source: Data sets about prescription drugs, demographic and physician visits information All data sets are MEPS survey data for the year 2005 & 2006 Copyright © 2010, SAS Institute Inc. All rights reserved.

Methods Summary Statistics Clustering Analysis Kernel Density Estimation Association Analysis Survival Analysis SAS SQL and some data step procedures such as the transpose procedure Copyright © 2010, SAS Institute Inc. All rights reserved.

Summary Statistics Table1. Average Overall Payment and Medicare Payment in 2005 & 2006 Year Variable Mean N 2005* SUM OF PAYMENTS MEDICARE(IMPUTED) 501.66 20.58 1759 2006 558.11 129.02 1994 Copyright © 2010, SAS Institute Inc. All rights reserved.

Summary Statistics Figure1. Pie charts of payments in 2005 &2006 Copyright © 2010, SAS Institute Inc. All rights reserved.

Cluster Analysis Figure 2. Clusters of Drugs in 2005 Using Text Miner Copyright © 2010, SAS Institute Inc. All rights reserved.

Cluster Analysis Figure 3. Clusters of Drugs in 2006 Using Text Miner Copyright © 2010, SAS Institute Inc. All rights reserved.

Kernel Density Estimation General Case: Figure4.Kernel Density Estimation in 2005 Male: Female: Copyright © 2010, SAS Institute Inc. All rights reserved.

Kernel Density Estimation General Case: Figure5.Kernel Density Estimation in 2006 Male: Female: Copyright © 2010, SAS Institute Inc. All rights reserved.

Kernel Density Estimation Medicare Case: Figure6.Kernel Density Estimation for Medicare in 2005 Male: Female: Copyright © 2010, SAS Institute Inc. All rights reserved.

Kernel Density Estimation Medicare Case: Figure7.Kernel Density Estimation for Medicare in 2006 Male: Female: Copyright © 2010, SAS Institute Inc. All rights reserved.

Association Analysis Figure 8.Link Graphs for the drugs in 2005 Copyright © 2010, SAS Institute Inc. All rights reserved.

Association Analysis Figure9.Link Graphs for the drugs in 2006 Copyright © 2010, SAS Institute Inc. All rights reserved.

Survival Analysis Figure 10. Diabetes Medications in 2006 Copyright © 2010, SAS Institute Inc. All rights reserved.

Survival Analysis /*Define 0-1 indicators and status*/ If CHMED=‘ ’ THEN STATUS=1; IF CHMED=‘GLYBURIDE’ THEN GLYBURIDE=0 AND STATUS=1; ELSE GLYBURIDE=1;… /*Define the variable days*/ If DATE_1^=. THEN SDATE=DATE_1; ELSE SDATE=‘01 JAN2006’D; If DATE_2^=. THEN EDATE=DATE_2; ELSE EDATE=31DEC2006’D; FORMAT SDATE EDATE DATE9.; DAYS=DATDIF(SDATE, EDATE, ‘ACT/ACT’); Copyright © 2010, SAS Institute Inc. All rights reserved.

Survival Analysis Figure11. Survival Data for 2006 Copyright © 2010, SAS Institute Inc. All rights reserved.

Survival Analysis SAS Code for Survival Analysis: PROC LIFETEST DATA=SASUSER.ST06 OUTSURV=SASUSER.GP06 ALPHA=0.05 METHOD=LIFE WIDTH=10; STRATA CHMED; TIME=DAYS*STATUS(0); Copyright © 2010, SAS Institute Inc. All rights reserved.

Survival Analysis Table 2. Summary of Censored/uncensored values for 2005 Stratum CHMED Total Failed Censored Percent 1 GLYBURIDE 4 0.00 2 GLYBURIDE-METFORMIN 100.00 3 INSULIN 8 5 62.50 METFORMIN 90 10 80 88.89 PRECOSE 66.67 6 ROSIGLITAZONE 7 TOLAZAMIDE 112 94 83.93 Copyright © 2010, SAS Institute Inc. All rights reserved.

Survival Analysis Table 3. Summary of Censored/uncensored values for 2006 Stratum CHMED Total Failed Censored Percent 1 GLYBURIDE 2 100.00 INSULIN 7 3 METFORMIN 100 17 83 83.00 4 PIOGLITAZONE 0.00 5 PRANDIN 6 PRECOSE 60.00 STARLIX 66.67 120 23 97 80.83 Copyright © 2010, SAS Institute Inc. All rights reserved.

Survival Analysis Figure12. Survival distribution function for the year 2005 Copyright © 2010, SAS Institute Inc. All rights reserved.

Survival Analysis Figure13. Survival distribution function for the year 2006 Copyright © 2010, SAS Institute Inc. All rights reserved.

To Summarize: Medicare, Part D increases the expenditures The drug plan reduces the beneficiaries’ choices of their drugs The usages of metformin and insulin are stable in both years; More drugs switches in 2006 Need more information for further study Copyright © 2010, SAS Institute Inc. All rights reserved.

Thank you! Xiao Wang Department of Mathematics University of Louisville Email: x0wang16@louisville.edu. Copyright © 2010, SAS Institute Inc. All rights reserved.