90 datasets found
  1. Medicare Current Beneficiary Survey - Survey File

    • datalumos.org
    Updated Apr 8, 2025
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    United States Department of Health and Human Services. Centers for Medicare and Medicaid Services (2025). Medicare Current Beneficiary Survey - Survey File [Dataset]. http://doi.org/10.3886/E226004V1
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    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    United States Department of Health and Human Services. Centers for Medicare and Medicaid Services
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2017 - 2022
    Description

    The Medicare Current Beneficiary Survey (MCBS) - Survey File Microdata Public Use File (PUF) dataset provides information on topics such as Medicare beneficiaries' access to care, health status, other information regarding beneficiaries’ knowledge of, attitudes toward, and satisfaction with their health care, as well as demographic data and information on all types of health insurance coverage.Resources for Using and Understanding the DataThis dataset is based on information from the MCBS and administrative data. The MCBS is a continuous, multi-purpose longitudinal survey covering a representative national sample of the Medicare population, including the population of beneficiaries aged 65 and over and beneficiaries aged 64 and below with certain disabling conditions. The MCBS collects this information in three data collection periods, or rounds, per year. Disclosure protections have been applied to the file, including de-identification and other methods. As a result, the MCBS Survey File Microdata file does not require a Data Use Agreement (DUA). In contrast, the MCBS Limited Data Set (LDS) releases contain beneficiary-level protected health information (PHI) and therefore require a DUA. The MCBS - Survey File Microdata file is not intended to replace the more detailed LDS files but, rather, it makes available a general-use publicly-available alternative that provides the highest degree of protection to the Medicare beneficiaries’ PHI. The main benefits of using the MCBS - Survey File Microdata file are:Increased data access for researchers of the MCBS through a free file download that is consistent with other U.S. Department of Health and Human Services (HHS) public-use survey files.Enhanced potential for policy-relevant analyses, by attracting new researchers and policymakers. Accessing the MCBS LDS can be a significant deterrent due to the associated costs and time but the MCBS - Survey File Microdata file mitigates these barriers to encourage broader utilization. A link to the more detailed MCBS LDS files is provided in the Resources section on this page. MCBS LDS data are also presented in the MCBS Chartbook linked in the Visualization section on this page.

  2. U

    Medicare Current Beneficiary Survey (MCBS)

    • datacatalog.hshsl.umaryland.edu
    Updated Oct 27, 2023
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    HS/HSL (2023). Medicare Current Beneficiary Survey (MCBS) [Dataset]. https://datacatalog.hshsl.umaryland.edu/dataset/67
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    Dataset updated
    Oct 27, 2023
    Dataset authored and provided by
    HS/HSL
    Time period covered
    Jan 1, 1991 - Dec 31, 2013
    Area covered
    United States
    Description

    The MCBS is a multipurpose survey of a nationally representative sample of the Medicare population to determine expenditures and sources of payment for all services used by Medicare beneficiaries. These include co-payments, deductibles, as well as non-covered healthcare costs. Additionally, all types of health insurance coverage has been related to sources of payment. Finally, outcomes over time were traced to assess the impacts of Medicare program changes on satisfaction with care and usual source of care. This UMB dataset is maintained by the Pharmaceutical Research Computing Center within the Department of Pharmaceutical Health Services Research at the University of Maryland School of Pharmacy. The Center provides computer programming, data management, pharmaceutical classification, and analytical support for health services research and evaluation.

  3. Blog | Access To CMS Medicare Beneficiary Data Enables DocGraph and CareSet...

    • s.cnmilf.com
    • data.virginia.gov
    • +1more
    Updated Mar 26, 2025
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    HHS Office of the Chief Data Officer (2025). Blog | Access To CMS Medicare Beneficiary Data Enables DocGraph and CareSet Systems to Bring Insight to Healthcare Delivery Approaches [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/blog-access-to-cms-medicare-beneficiary-data-enables-docgraph-and-careset-systems-to-bring
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    This blog post was posted on May 6, 2016.

  4. Data from: Medicare Geographic Variation - by National, State & County

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Apr 26, 2025
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    Centers for Medicare & Medicaid Services (2025). Medicare Geographic Variation - by National, State & County [Dataset]. https://catalog.data.gov/dataset/medicare-geographic-variation-by-national-state-county-73ba6
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    Dataset updated
    Apr 26, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Medicare Geographic Variation by National, State & County dataset provides information on the geographic differences in the use and quality of health care services for the Original Medicare population. This dataset contains demographic, spending, use, and quality indicators at the state level (including the District of Columbia, Puerto Rico, and the Virgin Islands) and the county level. Spending is standardized to remove geographic differences in payment rates for individual services as a source of variation. In general, total standardized per capita costs are less than actual per capita costs because the extra payments Medicare made to hospitals were removed, such as payments for medical education (both direct and indirect) and payments to hospitals that serve a disproportionate share of low-income patients. Standardization does not adjust for differences in beneficiaries’ health status.

  5. A

    Medicare Provider Data - Hospice Providers

    • data.amerigeoss.org
    • datadiscoverystudio.org
    html
    Updated Jul 29, 2019
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    United States (2019). Medicare Provider Data - Hospice Providers [Dataset]. https://data.amerigeoss.org/pl/dataset/medicare-provider-data-hospice-providers
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    htmlAvailable download formats
    Dataset updated
    Jul 29, 2019
    Dataset provided by
    United States
    Description

    The Hospice Utilization and Payment Public Use File provides information on services provided to Medicare beneficiaries by hospice providers. The Hospice PUF contains information on utilization, payment (Medicare payment and standard payment), submitted charges, primary diagnoses, sites of service, and hospice beneficiary demographics organized by CMS Certification Number 6-digit provider identification number, and state. This PUF is based on information from CMSs Chronic Conditions Data Warehouse (CCW) data files. The data in the Hospice PUF covers calendar year 2014 and contains 100 percent final-action i.e., all claim adjustments have been resolved, hospice claims for the Medicare population including beneficiaries enrolled in a Medicare Advantage plan.
    Although the Hospice PUF has a wealth of payment and utilization information about hospice services, the data set also has a number of limitations. The information presented in this file does not indicate the quality of care provided by individual hospice providers. The file only contains cost and utilization information. Additionally, the data are not risk adjusted and thus do not account for differences in patient populations. For additional limitations, please review the methodology document available below.

  6. Medicare Current Beneficiary Survey, Access to Care, Calendar Year 1992:...

    • icpsr.umich.edu
    ascii, sas
    Updated Jan 12, 2006
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    United States Department of Health and Human Services. Health Care Financing Administration (2006). Medicare Current Beneficiary Survey, Access to Care, Calendar Year 1992: [United States] [Dataset]. http://doi.org/10.3886/ICPSR06332.v2
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    ascii, sasAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Health and Human Services. Health Care Financing Administration
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6332/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6332/terms

    Time period covered
    1992
    Area covered
    United States
    Description

    This data collection is the second in a series of data releases from the Medicare Current Beneficiary Survey (MCBS) relating to beneficiary access to medical care. The MCBS is a continuous, multipurpose survey of a representative sample of the Medicare population, both aged and disabled. Sample persons are interviewed three times a year over several years to form a continuous profile of their health care experience. Interviews are conducted regardless of whether the sample person resides at home or in a long-term care facility, using the questionnaire version appropriate to the setting. The MCBS also collects a variety of information about demographic characteristics (date of birth, sex, race, education, military service, and marital status), health status and functioning, access to care, sources of and satisfaction with care, insurance coverage, financial resources, and family supports. The 1992 interview data were collected during September through December of 1992, the fourth round of data collection. The 1992 data are designed to stand alone for cross-sectional analysis, or they can be used for longitudinal analysis. Weights are provided for both cross-sectional and longitudinal analysis.

  7. a

    HHS emPOWER At-Risk Medicare Beneficiaries

    • nifc.hub.arcgis.com
    Updated Oct 30, 2024
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    National Interagency Fire Center (2024). HHS emPOWER At-Risk Medicare Beneficiaries [Dataset]. https://nifc.hub.arcgis.com/maps/10796694d44246dbab43e0c52881b98f
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    Dataset updated
    Oct 30, 2024
    Dataset authored and provided by
    National Interagency Fire Center
    Area covered
    Description

    Data Overview: ASPR, in partnership with the Centers for Medicare and Medicaid Services (CMS), provide de-identified and aggregated Medicare beneficiary claims data at the state/territory, county, and ZIP code levels in the HHS emPOWER Map and this public HHS emPOWER REST Service. The REST Service includes aggregated data from the Medicare Fee-For-Service (Parts A&B) and Medicare Advantage (Part C) Programs for beneficiaries who rely on electricity-dependent durable medical equipment (DME) and cardiac implantable devices.

    Data includes the following DME and devices: Cardiac devices (left, right, and bi-ventricular assistive devices
      (LVAD, RVAD, BIVAD) and total artificial hearts (TAH)), ventilators
      (invasive, non-invasive and oscillating vests), bi-level positive airway
      pressure device (BiPAP), oxygen concentrator, enteral feeding tube,
      intravenous (IV) infusion pump, suction pump, end-stage renal disease
      (ESRD) at-home dialysis, motorized wheelchair or scooter, and electric
      bed.
    
    
    
    Purpose: Over 3 million Medicare beneficiaries rely on electricity-dependent
     medical equipment, such as ventilators, to live independently in their
     homes. Severe weather and other emergencies, especially those with long
     power outages, can be life-threatening for these individuals. The HHS
     emPOWER Map and public REST Service give every public health official,
     emergency manager, hospital, first responder, electric company, and
     community member the power to discover the electricity-dependent Medicare
     population in their state/territory, county, and ZIP Code.
    
    
    
    Data Source: The REST Service’s data is developed from Medicare Fee-For-Service
      (Part A & B) (>33M 65+, blind, ESRD [dialysis], dual-eligible,
      disabled [adults and children]) and Medicare Advantage (Part C) (>21M
      65+, blind, ESRD [dialysis], dual-eligible, disabled [adults and
      children]) beneficiary administrative claims data. This data does not
      include individuals that are only enrolled in a State Medicaid Program.
      Note that Medicare DME are subject to insurance claim reimbursement caps
      (e.g. rental caps) that differ by type, so the DME may have different
      “look-back” periods (e.g. ventilators are 13 months and oxygen
      concentrators are 36 months).
    
    
    
    ZIP Code Aggregation: Some ZIP Codes do not have specific geospatial boundary data (e.g.,
      P.O. Box ZIP Codes). To capture the complete population data, the HHS
      emPOWER Program identified the larger boundary ZIP Code (Parent) within
      which the non-boundary ZIP Code (Child) resides. The totals are added
      together and displayed under the parent ZIP Code.
    
    
    
    
    Approved Data Uses: The public HHS emPOWER REST Service is approved for use by all partners
      and is intended to be used to help inform and support emergency
      preparedness, response, recovery, and mitigation activities in all
      communities.
    
    
    
    
    
    
    Privacy Protections: Protecting the privacy of Medicare beneficiaries is an essential
      priority for the HHS emPOWER Program. Therefore, all personally
      identifiable information are removed from the data and numerous
      de-identification methods are applied to significantly minimize, if not
      completely mitigate, any potential for deduction of small cells or
      re-identification risk. For example, any cell size found between the
      range of 1 and 10 is masked and shown as 11.
    
  8. d

    Medicare Current Beneficiary Survey - Limited Data Set.

    • datadiscoverystudio.org
    Updated Jul 14, 2017
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    (2017). Medicare Current Beneficiary Survey - Limited Data Set. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c54397d0b5034afc82ecd1021ae49757/html
    Explore at:
    Dataset updated
    Jul 14, 2017
    Description

    description:

    The Medicare Current Beneficiary Survey (MCBS) is a continuous, multipurpose survey of a representative national sample of the Medicare population.
    There are two data files from the Medicare Current Beneficiary Survey (MCBS) that are released in annual Access to Care and Cost and Use files, which can be purchased directly from CMS.

    ; abstract:

    The Medicare Current Beneficiary Survey (MCBS) is a continuous, multipurpose survey of a representative national sample of the Medicare population.
    There are two data files from the Medicare Current Beneficiary Survey (MCBS) that are released in annual Access to Care and Cost and Use files, which can be purchased directly from CMS.

  9. Medicare Secondary Payer

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Jan 24, 2025
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    Social Security Administration (2025). Medicare Secondary Payer [Dataset]. https://catalog.data.gov/dataset/medicare-secondary-payer
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    The Medicare Secondary Payer project is an annual process which attempts to identify working Medicare beneficiaries and/or their spouses. The first stage of this process is to extract all of the Medicare beneficiaries from the MBR. Prior to 2015, CSPOTRUN performed this function. Beginning in 2015, CSRETAP accomplishes this. In this process two files are prepared. One file goes to the Internal Revenue Service (IRS) for a tax return search and the other file is used for the Master Earnings File (MEF) search. IRS searches their tax return database and identifies returns that have spouses identified and returns this information to SSA. This file is then run against the MEF to obtain any current employment information for the beneficiary or the spouse. This data is sent to CMS for their process to determine whether Medicare should be the secondary payer for hospital and doctors bills. They determine whether the beneficiary and/or spouse have current health insurance coverage from their employer.

  10. w

    Denominator File - Limited Data Set

    • data.wu.ac.at
    Updated Apr 5, 2016
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    U.S. Department of Health & Human Services (2016). Denominator File - Limited Data Set [Dataset]. https://data.wu.ac.at/odso/data_gov/MDdhNjYxOGMtZWIwYi00N2FkLWFiNTUtY2M1Yjc0YWZjNDc5
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    Dataset updated
    Apr 5, 2016
    Dataset provided by
    U.S. Department of Health & Human Services
    Description

    The Denominator File combines Medicare beneficiary entitlement status information from administrative enrollment records with third-party payer information and GHP enrollment information. The Denominator File contains data on all Medicare beneficiaries enrolled and or entitled in a given year. It is an abbreviated version of the Enrollment Data Base (EDB) (selected data elements). It does not contain data on all beneficiaries ever entitled to Medicare. The file contains data only for beneficiaries who were entitled during the year of the data. These data are available annually in May of the current year for the prior year.

  11. Managed Care Information for Medicaid and CHIP Beneficiaries by Year

    • catalog.data.gov
    • healthdata.gov
    • +3more
    Updated Feb 3, 2025
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    Centers for Medicare & Medicaid Services (2025). Managed Care Information for Medicaid and CHIP Beneficiaries by Year [Dataset]. https://catalog.data.gov/dataset/managed-care-information-for-medicaid-and-chip-beneficiaries-by-year-dc72d
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by managed care participation (comprehensive managed care, primary care case management, MLTSS, including PACE, behavioral health organizations, nonmedical prepaid health plans, medical-only prepaid health plans, and other). There are three metrics presented: (1) the number of beneficiaries ever enrolled in each managed care plan type over the year (duplicated count); (2) the number of beneficiaries enrolled in each managed care plan type as of an individual’s last month of enrollment (duplicated count); and (3) average monthly enrollment in each managed care plan type. These metrics are based on data in the T-MSIS Analytic Files (TAF). Some cells have a value of “DS”. Some states have serious data quality issues, making the data unusable for calculating these measures. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state and year are considered unusable or of high concern based on DQ Atlas thresholds for the topics Enrollment in CMC, Enrollment in PCCM Programs, and Enrollment in BHO Plans. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

  12. d

    Medicare Part D Prescriber Look-up Tool.

    • datadiscoverystudio.org
    • data.amerigeoss.org
    Updated Jun 9, 2018
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    (2018). Medicare Part D Prescriber Look-up Tool. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ddc7a07a4bf8451fa8e51afea8e9bb34/html
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    Dataset updated
    Jun 9, 2018
    Description

    description:

    This look-up tool is a searchable database that allows you to look up a Medicare Part D prescriber by National Provider Identifier (NPI), or by name and location. The look-up tool will return information on prescriptions provided to and filled by Medicare beneficiaries, including drug name, total number of prescriptions dispensed (including original prescriptions and refills) and total drug cost. The data covers calendar year 2013 and is based on final-action Part D claims for the entire Medicare Part D population. Information is redacted where necessary to protect beneficiary privacy.

    The database is populated from the Medicare Part D Prescriber Public Use File (PUF). Although the Part D Prescriber PUF has a wealth of information on payment and utilization for Medicare Part D claims, the dataset has a number of limitations. Of particular importance is the fact that the data may not be representative of a physicians entire practice as it only includes information on beneficiaries enrolled in Medicare Part D prescription drug program. In addition, the data are not intended to indicate the quality of care provided. To review more information about the Part D Prescriber PUF, please refer to the Methodology document.

    ; abstract:

    This look-up tool is a searchable database that allows you to look up a Medicare Part D prescriber by National Provider Identifier (NPI), or by name and location. The look-up tool will return information on prescriptions provided to and filled by Medicare beneficiaries, including drug name, total number of prescriptions dispensed (including original prescriptions and refills) and total drug cost. The data covers calendar year 2013 and is based on final-action Part D claims for the entire Medicare Part D population. Information is redacted where necessary to protect beneficiary privacy.

    The database is populated from the Medicare Part D Prescriber Public Use File (PUF). Although the Part D Prescriber PUF has a wealth of information on payment and utilization for Medicare Part D claims, the dataset has a number of limitations. Of particular importance is the fact that the data may not be representative of a physicians entire practice as it only includes information on beneficiaries enrolled in Medicare Part D prescription drug program. In addition, the data are not intended to indicate the quality of care provided. To review more information about the Part D Prescriber PUF, please refer to the Methodology document.

  13. ACO Realizing Equity, Access and Community Health Aligned Beneficiaries

    • datalumos.org
    • datasets.ai
    delimited
    Updated Apr 24, 2025
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    United States Department of Health and Human Services. Centers for Medicare and Medicaid Services (2025). ACO Realizing Equity, Access and Community Health Aligned Beneficiaries [Dataset]. http://doi.org/10.3886/E227661V1
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    delimitedAvailable download formats
    Dataset updated
    Apr 24, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    United States Department of Health and Human Services. Centers for Medicare and Medicaid Services
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Accountable Care Organization Realizing Equity, Access and Community Health (ACO REACH) Model Aligned Beneficiary Public Use File (PUF) data details Medicare Beneficiaries aligned to the ACO REACH Model, formerly Global and Professional Direct Contracting (GPDC) Model, including counties, eligibility months and total aligned beneficiaries. This data is redacted and does not include identifiable information.Resources for Using and Understanding the DataThis dataset of aligned beneficiaries is based on the certified ACO REACH Participant Provider List and alignment methodology for that performance year.

  14. d

    Medicare Beneficiary Enrollment and Demographics, Washington State and...

    • catalog.data.gov
    • data.wa.gov
    • +1more
    Updated Jun 21, 2025
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    data.wa.gov (2025). Medicare Beneficiary Enrollment and Demographics, Washington State and Counties, 2007-2018 [Dataset]. https://catalog.data.gov/dataset/medicare-beneficiary-enrollment-and-demographics-washington-state-and-counties-2007-2014
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    data.wa.gov
    Area covered
    Washington
    Description

    (Source: CMS Medicare Geographic Variation Public Use File, February 2021)

  15. r

    Data from: New Beneficiary Data System

    • rrid.site
    • scicrunch.org
    • +3more
    Updated Jun 3, 2025
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    (2025). New Beneficiary Data System [Dataset]. http://identifiers.org/RRID:SCR_013320
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    Dataset updated
    Jun 3, 2025
    Description

    Data set of extensive information on the changing circumstances of aged and disabled beneficiaries - Living, noninstitutionalized population of the continental United States from the Social Security Administration''''s Master Benefit Record who were new recipients of Social Security benefits (first payment in mid-1980 through mid-1981) or who had established entitlement to Medicare and were eligible for, but had not received, Social Security benefits as of July 1982. Based initially on a national cross-sectional survey of new beneficiaries in 1982, the original data base was expanded with information from administrative records and a second round of interviews in 1991. Variables measured in the original New Beneficiary Survey (NBS) include demographic characteristics; employment, marital, and childbearing histories; household composition; health; income and assets; program knowledge; and information about the spouses of married respondents. The 1991 New Beneficiary Follow-up (NBF) updated marital status, household composition, and the economic profile and contains additional sections on family contacts, postretirement employment, effects of widowhood and divorce, major reasons for changes in economic status, a more extensive section on health, and information on household moves and reasons for moving. Disabled-worker beneficiaries were also asked about their efforts to return to work, experiences with rehabilitation services, and knowledge of SSA work incentive provisions. The NBDS also links to administrative files of yearly covered earnings from 1951 to 1992, Medicare expenditures from 1984 to 1999, whether an SSI application has ever been made and payment status at five points in time, and dates of death as of spring 2001. For studies of health, the Medicare expenditure variables include inpatient hospital costs, outpatient hospital costs, home health care costs, and physicians'''' charges. The survey data cover functional capacity including ADLs and IADLs. For studies of work in retirement, the survey includes yearly information on extent of work, characteristics of the current or last job, and reasons for working or not working. No other data set has such detailed baseline survey data of a population immediately after retirement or disability, enhanced with subsequent measures over an extended period of time. The data are publicly available through NACDA and the Social Security Administration Website. * Dates of Study: 1982-1991 * Study Features: Longitudinal * Sample Size: ** 18,136 (NBS 1981) ** 12,677 (NBF 1991) Links: * 1982 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08510 * 1991 (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06118

  16. Basic Stand Alone Medicare Home Health Beneficiary PUF

    • data.wu.ac.at
    application/unknown
    Updated Apr 4, 2018
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    U.S. Department of Health & Human Services (2018). Basic Stand Alone Medicare Home Health Beneficiary PUF [Dataset]. https://data.wu.ac.at/schema/data_gov/MWEwZGNhMDYtODRhZi00MGUwLTkyOTAtNTUxNDgyNzUxOWNh
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    application/unknownAvailable download formats
    Dataset updated
    Apr 4, 2018
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    This release contains the Basic Stand Alone (BSA) Home Health Agency (HHA) Beneficiary Public Use Files (PUF) with information from Medicare HHA claims. The CMS BSA HHA Beneficiary PUF is a beneficiary-level file in which each record is a beneficiary who had at least one HHA claim from a random 5 percent sample of Medicare beneficiaries. There are some demographic and claim-related variables provided in this PUF.

  17. Dual Medi-Cal Enrollment and Medicare Advantage Enrollment in the Medicare...

    • catalog.data.gov
    • data.chhs.ca.gov
    • +2more
    Updated Nov 27, 2024
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    California Department of Health Care Services (2024). Dual Medi-Cal Enrollment and Medicare Advantage Enrollment in the Medicare Population in California Counties [Dataset]. https://catalog.data.gov/dataset/dual-medi-cal-enrollment-and-medicare-advantage-enrollment-in-the-medicare-population-in-c-ea6db
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Health Care Serviceshttp://www.dhcs.ca.gov/
    Area covered
    California
    Description

    This data set accompanies the Profile of the California Medicare Population chartbook, published by the Office of Medicare Innovation and Integration in February 2022, and available at (https://www.dhcs.ca.gov/services/Documents/OMII-Medicare-Databook-February-18-2022.pdf). The three data files in this data set were analyzed from federal administrative data (the Medicare Master Beneficiary Summary File) for beneficiary characteristics as of March 2021. These datasets include: Medicare enrollment, Medicare Advantage enrollment (and its converse fee-for-service Medicare enrollment), dual Medi-Cal eligibility and enrollment (and its converse Medicare-only enrollment), by county. Medicare Savings Program enrollees were considered Medicare-only and not dually enrolled in Medi-Cal. All Medicare Part C beneficiaries, including PACE, Cal MediConnect and Special Needs Plans, were considered to have Medicare Advantage. DHCS partnered with The SCAN Foundation and ATI Advisory in 2021 and 2022 to develop a series of chartbooks that provide information about Medicare beneficiaries in California. This work is supported by a grant from The SCAN Foundation to advance a coordinated and easily navigated system of high-quality services for older adults that preserve dignity and independence. For more information, visit www.TheSCANFoundation.org.

  18. Medicare 1144 Outreach

    • catalog.data.gov
    • gimi9.com
    Updated Jan 24, 2025
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    Social Security Administration (2025). Medicare 1144 Outreach [Dataset]. https://catalog.data.gov/dataset/medicare-1144-outreach
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    The purpose of this exchange is to identify any Medicare beneficiary who may be eligible for Medicare cost sharing under the Medicaid program, notify these potential Medicare buy-in eligible beneficiaries about the Medicare cost-sharing programs, and inform the states of potential buy-in eligible beneficiaries. Medicare Savings Programs are state-administered Medicaid programs which subsidize Medicare beneficiary costs. These programs usually follow SSI methods for counting income and resources but have higher limits. The income tests are based on a percentage of the Federal poverty guidelines and vary by program. Each year, two separate files will be created. The first file is scheduled for April and includes the QMB/SLMB/QI file. The second file is scheduled for November and includes the QDWI file.

  19. Medicare Part D Spending by Drug

    • s.cnmilf.com
    • data.virginia.gov
    • +4more
    Updated May 31, 2025
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    Centers for Medicare & Medicaid Services (2025). Medicare Part D Spending by Drug [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/medicare-part-d-spending-by-drug-401d2
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    Dataset updated
    May 31, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Medicare Part D by Drug dataset presents information on spending for drugs prescribed to Medicare beneficiaries enrolled in Part D by physicians and other healthcare providers. Drugs prescribed in the Medicare Part D program are drugs patients generally administer themselves. The dataset focuses on average spending per dosage unit and change in average spending per dosage unit over time. It also includes spending information for manufacturer(s) of the drugs as well as consumer-friendly information of drug uses and clinical indications. Drug spending metrics for Part D drugs are based on the gross drug cost, which represents total spending for the prescription claim, including Medicare, plan, and beneficiary payments. The Part D spending metrics do not reflect any manufacturers’ rebates or other price concessions as CMS is prohibited from publicly disclosing such information.

  20. Medicare Part B Spending by Drug

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated May 31, 2025
    + more versions
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    Centers for Medicare & Medicaid Services (2025). Medicare Part B Spending by Drug [Dataset]. https://catalog.data.gov/dataset/medicare-part-b-spending-by-drug-f3e5c
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    Dataset updated
    May 31, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Medicare Part B by Drug dataset presents information on spending for drugs administered in doctors’ offices and other outpatient settings by physicians and other healthcare providers to Medicare Part B enrollees. The dataset focuses on average spending per dosage unit and change in average spending per dosage unit over time. It also includes consumer-friendly descriptions of the drug uses, clinical indications, and manufacturer(s). Drug spending metrics for Part B drugs represent the full value of the product, including the Medicare payment and beneficiary liability. All Part B drug spending metrics are calculated at the HCPCS level.

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United States Department of Health and Human Services. Centers for Medicare and Medicaid Services (2025). Medicare Current Beneficiary Survey - Survey File [Dataset]. http://doi.org/10.3886/E226004V1
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Medicare Current Beneficiary Survey - Survey File

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6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 8, 2025
Dataset provided by
Centers for Medicare & Medicaid Services
United States Department of Health and Human Serviceshttp://www.hhs.gov/
Authors
United States Department of Health and Human Services. Centers for Medicare and Medicaid Services
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
2017 - 2022
Description

The Medicare Current Beneficiary Survey (MCBS) - Survey File Microdata Public Use File (PUF) dataset provides information on topics such as Medicare beneficiaries' access to care, health status, other information regarding beneficiaries’ knowledge of, attitudes toward, and satisfaction with their health care, as well as demographic data and information on all types of health insurance coverage.Resources for Using and Understanding the DataThis dataset is based on information from the MCBS and administrative data. The MCBS is a continuous, multi-purpose longitudinal survey covering a representative national sample of the Medicare population, including the population of beneficiaries aged 65 and over and beneficiaries aged 64 and below with certain disabling conditions. The MCBS collects this information in three data collection periods, or rounds, per year. Disclosure protections have been applied to the file, including de-identification and other methods. As a result, the MCBS Survey File Microdata file does not require a Data Use Agreement (DUA). In contrast, the MCBS Limited Data Set (LDS) releases contain beneficiary-level protected health information (PHI) and therefore require a DUA. The MCBS - Survey File Microdata file is not intended to replace the more detailed LDS files but, rather, it makes available a general-use publicly-available alternative that provides the highest degree of protection to the Medicare beneficiaries’ PHI. The main benefits of using the MCBS - Survey File Microdata file are:Increased data access for researchers of the MCBS through a free file download that is consistent with other U.S. Department of Health and Human Services (HHS) public-use survey files.Enhanced potential for policy-relevant analyses, by attracting new researchers and policymakers. Accessing the MCBS LDS can be a significant deterrent due to the associated costs and time but the MCBS - Survey File Microdata file mitigates these barriers to encourage broader utilization. A link to the more detailed MCBS LDS files is provided in the Resources section on this page. MCBS LDS data are also presented in the MCBS Chartbook linked in the Visualization section on this page.

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