What is a retain statement in SAS?
Medicare administrative claims data. Given the above, our goal in this chapter is not to make any determinations about quality of care; after all, we are using fake data purely for simulation purposes! Rather, our goal is to use our example research programming project to teach the reader the mechanics of how to use Medicare data to identify
Where does CMS get its death information?
Jan 10, 2020 · The RIF is a SAS data warehouse that also resides within the VRDC and is designed using a star schema. The data sets are segmented by year, month, and claim type. This lends itself well to SAS Grid processing. A SAS grid computing environment is one in which SAS computing tasks are distributed among multiple computers on a network, all under the
What are the death-related variables in the Medicare enrollment data?
Dec 01, 2021 · CMS is committed to increasing access to its Medicare claims data through the release of de-identified data files available for public use. These files are available to researchers as free downloads in CSV format. They contain non-identifiable claim-specific information and are within the public domain.
How many SAS data sets need to be aggregated from RIFs?
Data sources: Utilization data from the Centers for Medicare and Medicaid Services (CMS) fee-for-service claims (MedPAR, Outpatient, and Carrier Standard Analytic Files); patient demographics and date of death from CMS Denominator and Vital Status files. For over 1.5 million AMI discharges in 1995-1999 we retain diagnoses from one year prior ...
How do I access my Medicare claims data?
Log into (or create) your secure Medicare account. You'll usually be able to see a claim within 24 hours after Medicare processes it. A notice you get after the doctor, other health care provider, or supplier files a claim for Part A or Part B services in Original Medicare.
What is the VRDC?
The CMS VRDC is a virtual research environment that provides timelier access to Medicare and Medicaid program data in a more efficient and cost effective manner. Researchers working in the CMS VRDC will have direct access to approved data files and be able to conduct their analysis within the CMS secure environment.Sep 15, 2020
What is included in Medicare claims data?
Claims data are clinically valid and include various key attributes related to care such as admission and discharge dates, diagnoses and procedure codes, source of care, date of death, and demographic data (e.g., age, race and ethnicity, place of residence).
What is CMS data center?
The CMS VRDC is a virtual research environment that provides timelier access to Medicare and Medicaid program data in a more efficient and cost effective manner. Researchers working in the CMS VRDC will have direct access to approved data files and be able to conduct their analysis within the CMS secure environment.
What is Tmsis?
The Transformed Medicaid Statistical Information System (T-MSIS) data provides information on key topics including service utilization and spending, and supports research and analysis that helps improve quality of care for beneficiaries.Sep 16, 2020
How much does Medicare data cost?
Cost Estimates for QE Medicare Data (Per Extract)Pricing BracketParts A & B Claims and Enrollment Cost Per ExtractUp to 1 million beneficiaries$10,5001 million to 5 million beneficiaries$17,5005 million to 20 million beneficiaries$26,500Over 20 million beneficiaries$41,0001 more row
Are Medicare claims public data?
CMS is committed to increasing access to its Medicare claims data through the release of de-identified data files available for public use. These files are available to researchers as free downloads in CSV format. They contain non-identifiable claim-specific information and are within the public domain.Dec 1, 2021
What are claims data?
Claims data, also known as administrative data, are another sort of electronic record, but on a much bigger scale. Claims databases collect information on millions of doctors' appointments, bills, insurance information, and other patient-provider communications.
Basic Usage of Retain in SAS
In the above example, SAS resets the values of cum_sum to missing for each observation.
Calculating Cumulative sum within BY Groups
First and Retain statements can be used together to calculate cumulative sum within each by group.
Generate Serial Number by Group
Another use of FIRST. and LAST. variables with the RETAIN statement is to generate sequential numbers within each BY group.
Purpose
Beneficiary death information is available in several of the Medicare enrollment files. Limited death information is also found in other files, such as the MedPAR. This article describes the variables found in each.
Article Information
ResDAC would also like to acknowledge Sara Durham for assistance with this article.
What is retain statement in SAS?
The use of the retain statement tells SAS, that at each iteration of the data step to keep or retain a specified variable instead of setting that value to missing. When used with raw claims data, the retain statement is useful in identifying the first instance where a condition occurred for a specified period of time.
What is an array in SAS?
Arrays are temporary groupings of SAS variables that have the same data type and are arranged in a particular order. Array statements allow you to do more with less code and only exist for the duration of the data step. Because arrays allow you to process variables in groups, they assist with processing claims data in both an effective and efficient way.
What is array reference in SAS?
An array reference may be used within the data step in almost any place that other SAS variables may be used.
What is macro processing?
Macro processing makes identifying claims with multiple chronic conditions easier. The macro facility is a code generator that allows you to store values and use them with other operations throughout the data step. Macro processing can be helpful in creating insightful summaries from your claims file with less code. Macros are stored text that contains SAS language and Macro language. Macro variables hold the value of text strings and have an ampersand(&) before the name.
What is lag function?
The Lag function is an efficient tool in helping you to identify encounters in the claims data that are readmissions. The Lag function looks across observations and analyzes which encounters would be considered a readmission based on the criteria that we specify.
What does the out= option do in Python?
The out= option names the resulting dataset. The name= option assigns a name to the variable in the dataset that is being transposed. The prefix= option assigns the string of variables that are transposed.The By statement allows you to transpose data within the combination of the BY variables. The var