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Rehabilitation Dataset Directory: Dataset Profile

Dataset: Basic Stand Alone Durable Medical Equipment Line Items Public Use Files (BSA DME Line Items PUF)

Basic Information
Dataset Full Name Basic Stand Alone Durable Medical Equipment Line Items Public Use Files
Dataset Acronym BSA DME Line Items PUF
Summary BSA DME Line Items PUF was released from CMS for 2008 and 2010. Contains information of Medicare Durable Medical Equipment (DME) claims submitted by a random 5% of Medicare beneficiaries in the reference year. Note that the sample included in this file is deliberately disjoint (no overlap) from the samples in the CMS research file and other Public Use Files (PUF) and cannot be linked. Each row in the dataset represents an item of the DME claim and cannot be linked to by beneficiary
Key Terms Medical Equipment, Prosthetics, Orthotics, Medical Supplies utilization, Medical Equipment Cost
Study Design Longitudinal
Data Type(s) Administrative
Sponsoring Agency/Entity Department of Health and Human Services (HHS): Centers for Medicare and Medicaid Services (CMS)
Health Conditions/Disability Measures
Health Condition(s)

ICD-9/10 diagnostic codes

Disability Measures

Special equipment use/assistive technology:

Use of specific Durable Medical Equipment as determined by the Healthcare Common Procedure Coding System (HCPCS)

Measures/Outcomes of Interest
Topics Utilization and cost of medical equipment by gender, age or ICD-9 diagnosis codes, Trends in DME use and cost.
Sample Population Medicare beneficiaries who filed a claim for DME in 2008 or 2010
Sample Size/Notes
  • 2008: 5,105,237  line items
  • 2010: 5,231,592 line items
Unit of Observation Medical equipment claim (individual items in each claim cannot be linked to reach patient level of observation)
Continent(s) North America

United States

Geographic Coverage National
Geographic Specificity National
Special Population(s)

Medicare beneficiaries

Data Collection
Data Collection Mode Administrative claims data
Years Collected 2008 and 2010
Data Collection Frequency N/A
Strengths and Limitations
  • Large sample size – Adequate for examining DME use and costs associated with several disease diagnoses or differences incurred by gender or age.
  • Comparisons can be made between the 2 waves of data (2008 and 2010).
  • Clear documentation provided.
  • SAS program code available to create dataset.
  • Data cannot be linked with other CMS datasets
  • Line items cannot be linked to each beneficiary
  • No regional or state level data
  • No provider data
  • Some variables are rounded or categorized to preserve confidentiality
Data Details
Primary Website


Data Access https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/BSAPUFS/BSA_DME_Line_Items_PUF
Data Access Requirements Public Use Dataset
Summary Tables/Reports

2008 Data documentation and frequency tables:


2010 Data documentation and frequency tables


Data Components N/A
Selected Papers
Other Papers

CMS 2008 Enrollment and User Rates for Basic Stand Alone Public Use Files:


General Documentation for CMS 2008 BSA DME Line Items PUF


General Documentation for CMS 2010 BSA DME Line Items PUF  



Data dictionary, codebooks, SAS data user guides, etc. can be accessed here:


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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).

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Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.

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