From SAS Programming with Medicare Administrative Data. Full book available for purchase here.

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Transcription:

From SAS Programming with Medicare Administrative Data. Full book available for purchase here. Contents About This Book... ix About The Author... xiii Acknowledgments...xv Chapter 1: Introduction... 1 Introduction and Purpose of This Book... 1 Framework of This Book... 2 Our Programming Project... 3 Chapter Outline... 5 How to Use This Book... 6 Disclaimer... 7 Chapter Summary... 8 Chapter 2: An Introduction to the Medicare Program... 9 Introduction and Goals of the Chapter... 9 An Introduction to the Medicare Program... 10 What is Medicare?... 10 Medicare Enrollment and Eligibility... 11 What Is Covered by Medicare?... 11 What Is Not Covered by Medicare?... 12 The Mechanics of Medicare... 13 Chapter Summary... 15 Chapter 3: An Introduction to Medicare Data... 17 Introduction and Goals of This Chapter... 17 A Note on the Source and Structure of Our Claims Data... 18 Part B Carrier Claims Data... 19 Durable Medical Equipment (DME) Data... 19

iv Outpatient Claims Data... 20 Inpatient Claims Data... 20 Skilled Nursing Facility (SNF) Claims Data... 21 Home Health Claims Data... 21 Hospice Claims Data... 22 Commonly Retained Elements in Administrative Claims Data... 22 Master Beneficiary Summary File... 24 Provider Data... 24 Example: Identification of Emergency Department (ED) Utilization... 25 Example: Identification of Surgical Services... 26 Chapter Summary... 26 Chapter 4: Planning the Research Programming Project... 29 Introduction and Goals of This Chapter... 29 Our Project s Plan: The SDLC... 30 Our Project s High-Level Requirements... 32 Our Project s Quality Assurance Plan... 33 Our Project s Flowchart... 33 Our Project s Data Storage and LIBNAMES... 35 Our Research Programming Technical Specifications... 36 Chapter Summary... 37 Chapter 5: Request, Receive, Load, and Transform Data... 39 Introduction... 39 Requesting Medicare Administrative Claims and Enrollment Data... 40 Sources of Medicare Claims and Enrollment Data... 40 Data Available from CMS... 41 Our Project s Data Requirements and Request Specifications... 42 Contacting ResDAC and Completing Paperwork... 43 Receiving, Decrypting, and Loading Medicare Administrative Claims and Enrollment Data... 45 Receiving Our Medicare Administrative Data... 45 Decrypting Our Medicare Administrative Data... 46 Loading Our Medicare Administrative Data into SAS Data Sets... 46 Algorithms: Transforming Base Claim and Line Level Data Sets into Single Claim-Level

v Files... 47 Transforming Base Claim and Line-Level Carrier Data into a Claim-Level File... 48 Chapter Summary... 51 Chapter 6: Working with Enrollment Data... 53 Introduction and Goals... 53 Review and Approach... 54 Basics of Medicare Enrollment Data... 54 Our Programming Plan... 55 Algorithms: Identifying Continuously Enrolled FFS Beneficiaries... 55 Why Define Continuously Enrolled FFS Beneficiaries?... 55 How to Specify the Programming for Continuous Enrollment in Medicare FFS... 56 Medicare Part A and Part B Enrollment Variables... 56 HMO Coverage Variable... 56 Date of Death Variable... 57 How to Program in SAS to Define Continuous Enrollment in Medicare FFS... 57 Algorithms: Create or Retain Data Elements for Displaying Results by Certain Characteristics... 59 Coverage Characteristics, Month of Death, Sex, and Race... 59 Age Groups... 62 Geographic Characteristics... 63 Algorithms: Create Final Enrollment Data for Remainder of Programming... 66 Chapter Summary... 67 Exercises... 67 Chapter 7: Measuring Utilization of Services... 69 Introduction and Goals... 69 Review and Approach... 70 Review: Basics of Medicare Claims Data... 70 Our Programming Plan... 72 Algorithms: Delimit Claims by Continuously Enrolled Beneficiary Population... 72 Algorithms: Measuring Evaluation and Management (E&M) Utilization... 73 Algorithms: Measuring Inpatient Hospital Utilization... 75 Algorithms: Measuring Emergency Department Utilization... 80 Algorithms: Measuring Utilization of Ambulance Services... 81 Algorithms: Measuring Outpatient Visit Information... 84 Algorithms: Measuring Utilization of SNF, Home Health Agency, and Hospice Care... 85

vi Chapter Summary... 88 Exercises... 88 Chapter 8: Measuring Costs to Medicare... 91 Introduction and Goals... 91 Review and Approach... 93 Review: Basics of Medicare Cost... 93 Our Programming Plan... 93 A Note on Payment Standardization and Risk Adjustment... 94 Algorithms: Measuring Evaluation and Management Payments... 95 Algorithms: Measuring Inpatient Hospital Payments... 98 Algorithms: Measuring Total Part A Payments... 100 Chapter Summary... 103 Exercises... 103 Chapter 9: Programming to Identify Chronic Conditions... 105 Introduction and Goals... 105 Review and Approach... 107 Review: Peculiarities of Medicare Data... 107 Our Programming Plan... 107 A Note on the Chronic Conditions Data Warehouse (CCW)... 108 Algorithms: Identifying Beneficiaries with Diabetes or COPD... 108 Algorithms: Evaluation and Management Visits for Beneficiaries with Diabetes or COPD... 114 Algorithms: Diabetic Eye Exams for Beneficiaries with Diabetes... 116 Algorithms: Hospital Readmissions for Beneficiaries with COPD... 118 Chapter Summary... 120 Exercises... 121 Chapter 10: Presenting Output and Project Disposition... 123 Introduction... 123 Synthesis Review and Approach... 124 Review: Our Accomplishments... 124 Our Programming Plan... 124 Algorithms: Presenting Selected Measurements of Utilization, Cost to Medicare, and

vii Quality Outcomes... 125 Presenting Ambulance Utilization... 125 Presenting Medicare Payments for Evaluation and Management Services by Provider... 127 Presenting Rates of Diabetes and COPD... 129 Algorithms: Presenting Inpatient Length of Stay Information by State... 131 Algorithms: Presenting Mean Medicare Part A Payments per Beneficiary by State and County... 133 Algorithms: Presenting Rates of Diabetic Eye Exams... 135 Production Execution in Batch... 138 Project Disposition... 138 Archiving Materials for Future Use... 138 Data Destruction... 139 Chapter Summary... 139 Exercises... 140 From SAS Programming with Medicare Administrative Data by Matthew Gillingham. Copyright 2014, SAS Institute Inc., Cary, North Carolina, USA. ALL RIGHTS RESERVED.