description:

This brief presentation outlines the educational objectives for the Introduction to Medicare workshop. Objectives of the workshop which are found in the various video segments include
-understanding the basic structure and content of the Medicare program
-learning which Medicare data files are available for research purposes
-knowing the source of the Medicare administrative data sets
-reviewing the Master Beneficiary Summary File (a.k.a. Denominator), MedPAR file, and the Carrier file for use by researchers

This brief presentation outlines the educational objectives for the Introduction to Medicare workshop. Objectives of the workshop which are found in the various video segments include
-understanding the basic structure and content of the Medicare program
-learning which Medicare data files are available for research purposes
-knowing the source of the Medicare administrative data sets
-reviewing the Master Beneficiary Summary File (a.k.a. Denominator), MedPAR file, and the Carrier file for use by researchers

Methodology

Medicare Advantage (Part C) data (MBSF base/Inpatient/Outpatient/Carrier)

Documentation

Inpatient Encounter (data documentation and codebook)

https://resdac.org/cms-data/files/ip-encounter/data-documentation

**Outpatient Encounter **(data documentation and codebook)

https://resdac.org/cms-data/files/op-encounter

**Carrier Encounter **(data documentation and codebook)

https://resdac.org/cms-data/files/carrier-encounter

2016-2019. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Children’s Health Insurance Program (CHIP) fee for service and managed care plans. Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available. Prevalence estimates are stratified by all available combinations of age group, gender, and state. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated May 2023.

Usage

This dataset page includes some of the tables from the Medicare Data in PHS's possession. Other Medicare tables are included on other dataset pages on the PHS Data Portal. Depending upon your research question and your DUA with CMS, you may only need tables from a subset of the Medicare dataset pages, or you may need tables from all of them.

The location of each of the Medicare tables (i.e. a chart of which tables are included in each Medicare dataset page) is shown here.

Before Manuscript Submission

All manuscripts (and other items you'd like to publish) must be submitted to

support@stanfordphs.freshdesk.com for approval prior to journal submission.

We will check your cell sizes and citations.

For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core

Documentation

The Medicare Carrier (Encounter) file includes Medicare Advantage plan paid records for professional providers, including physicians, physician assistants, clinical social workers, nurse practitioners.

Records for some organizational providers are also found in the Carrier (Encounter) file. Examples include independent clinical laboratories, ambulance providers, freestanding ambulatory surgical centers and freestanding radiology centers.

The Carrier File includes fee-for-serviceclaims submitted by professional providers, including physicians, physician assistants, clinical social workers, nurse practitioners. The Claims file is based on information from the CMS claim form 1500

Claims for some organizational providers, such as free-standing facilities are also found in the Carrier Claims File. Examples include independent clinical laboratories, ambulance providers, free-standing ambulatory surgical centers and free-standing radiology centers.

Researchers rarely use these files alone.

2014-2019. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare claims, stratified by all available combinations of age group, race/ethnicity, gender, and state. Medicare claims for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B Fee-for-Service (FFS) for the duration of the year. Medicare claims provide a convenience sample that includes approximately 30 million individuals annually, which represents nearly 89% of the US population aged 65 and older and 3.3% of the US population younger than 65, including persons disabled due to blindness. Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (cdc.gov/visionhealth/vehss/data/claims/medicare.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated May 2023.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company RESDAC-(OSBL).

The MBSF mortality denominator can be used to study mortality rates of the elder population in the US. Access to CMS data is restricted. Processed datasets cannot be shared. Contact the authors if you've purchased CMS data through RESDAC and would like to use our data processing pipelines to clean CMS raw data and generate the MBSF mortality denominator. Medicare Overview In the United States, when individuals reach the age of 65, they become eligible for the Medicare federal health insurance program. Medicare also covers individuals under 65 if they have certain disabilities or End-Stage Renal Disease (ESRD) or Amyotrophic Lateral Sclerosis (ALS). About CMS The Center for Medicare & Medicaid Services (CMS) is the federal agency responsible for managing the Medicare and Medicaid data. CMS makes predefined datasets available for purchase to researchers after they enter a Data usage agreement through Research Data Assistance Center (ResDAC). Master Beneficiary Summary File (MBSF) A beneficiary-level data from CMS/ResDAC is known as the Master Beneficiary Summary File (MBSF). The raw MBSF data contains basic demographic information of individuals, an indicator of death, and some details on their medicare enrollment. Mortality Denominator We refer to the mortality denominator as the clean subset of MBSF health data that is representative of the older population. The subset consists of the US elder population; notably, individuals under 64 who qualified because of a disability are excluded.

Analysis of ‘Medicaid Claims (MAX) - Vision and Eye Health Surveillance’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f7f88730-d4b7-448e-8ac4-8b77035aeae0 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

2013, 2014. This dataset is a de-identified summary table of prevalence rates for vision and eye health data indicators from the Medicaid Analytic eXtract (MAX) data. Medicaid MAX are a set of de-identified person-level data files with information on Medicaid eligibility, service utilization, diagnoses, and payments. The MAX data contain a convenience sample of claims processed by Medicaid and Children’s Health Insurance Program (CHIP) fee for service and managed care plans. Not all states are included in MAX in all years, and as of November 2019, 2014 data is the latest available. Prevalence estimates are stratified by all available combinations of age group, gender, and state. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicaid MAX webpage (cdc.gov/visionhealth/vehss/data/claims/medicaid.html). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicaid MAX dataset was last updated November 2019.

--- Original source retains full ownership of the source dataset ---

2014-2015. This dataset is a de-identified summary table of vision and eye health data indicators from Medicare, stratified by all available combinations of age group, race/ethnicity, gender, and state. Medicare claims for VEHSS includes beneficiaries who were fully enrolled in Medicare Part B Fee-for-Service (FFS) for the duration of the year. Medicare claims provide a convenience sample that includes approximately 30 million individuals annually, which represents nearly 89% of the US population aged 65 and older and 3.3% of the US population younger than 65, including persons disabled due to blindness. Medicare data for VEHSS include Service Utilization and Medical Diagnoses indicators. Data were suppressed for de-identification to ensure protection of patient privacy. Data will be updated as it becomes available. Detailed information on VEHSS Medicare analyses can be found on the VEHSS Medicare webpage (link). Information on available Medicare claims data can be found on the ResDac website (www.resdac.org). The VEHSS Medicare dataset was last updated in June 2018.

Abstract

Inpatient records including diagnoses, diagnostic-related groups, costs, and length of stay. Links to MDS and MSBF with encrypted beneficiary ID.

Usage

ResDAC Data Use Agreement

Cost to reuse the data

Collaboration Notes

I am open to new collaborations AND I am open to supporting a doctoral student

Start and End Dates of Data

2011-2022

Abstract

A standardized screening and assessment tool of health status with comprehensive assessments of all residents in CMS-certified NHs regardless of insurance type. Completed on admission, quarterly and with change in status.

Usage

ResDAC Data Use Agreement

Cost to reuse the data

Collaboration Notes

I am open to new collaborations AND I am open to supporting a doctoral student

Start and End Dates of Data

2011-2022

Purpose: Develop an easy-to-use data product to facilitate comparative effectiveness research involving complex patients. Scope: Claims data can be difficult to use, requiring experience to most appropriately aggregate to the patient level and to create meaningful variables such as treatments, covariates, and endpoints. Easy to use data products will accelerate meaningful comparative effectiveness research (CER). Methods: This project used data from the Medicare Chronic Condition Data Warehouse for patients hospitalized with acute myocardial infarction (AMI) or stroke in 2007 with two-year follow-up and one-year pre-admission baseline. The project joined over 100 raw data files per condition to create research-ready person- and service-level analytic files, code templates, and macros while at the same time adding uniformity in measures of comorbid conditions and other covariates. The data product was tested in a project on statin effectiveness in older patients with multiple comorbidities. Results: A programmer/analyst with no administrative claims data experience was able to use the data product to create an analytic dataset with minimal support aside from the documentation provided. Analytic dataset creation used the conditions, procedures, and timeline macros provided. The data structure created for AMI adapted successfully for stroke. Complexity increased and statin treatment decreased with age. The two-year survival benefit of statins post-AMI increased with age. Conclusion: Claims data can be made more user-friendly for CER research on complex conditions. The data product should be expanded by refreshing the cohort and increasing follow-up. Action is warranted to increase the rate of statin use among the oldest patients. Data Access: These data are not available from ICPSR. The data cannot be made publicly available. Data are stored on University of Iowa College of Public Health secure servers, and may be used only for projects covered within the aims of the original research protocol and Centers for Medicare and Medicaid Services (CMS)-approved data use agreement. Data sharing is allowed only for research protocols approved under data re-use requests by the CMS privacy board. The CMS process for data re-use requests is described at Research Data Assistance Center (ResDac) . Please note that as of May 2013, the DUA covering this work is set to expire February 1, 2014. Thereafter, per the terms of the DUA, datasets created for this project may not be available. User guides are available from ICPSR for detailed descriptions of the data products, including a user guide for Acute Myocardial Infarction (AMI) Analytic Files and a user guide for Stroke and Transient Ischemic Attack (TIA) Analytic Files. Data dictionaries are available upon request. Please contact Nick Rudzianski (nicholas-rudzianski@uiowa.edu or 319-335-9783) for more information.

Abstract

The Base file includes Medicare beneficiary enrollment information and characteristics. The chronic condition file includes chronic conditions.

Usage

Resdac Data Use Agreement

Cost to reuse the data

Collaboration Notes

I am open to new collaborations AND I am open to supporting a doctoral student

Start and End Dates of Data

2011-2022