5 datasets found
  1. Occupational Health And Safety Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
    + more versions
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    John Snow Labs (2021). Occupational Health And Safety Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/occupational-health-and-safety-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    Information on utilization and payment data for Home health agency, Hospice, skilled nursing facitlity. Information on Inpatient Prospective Payment System (IPPS) payments, Inpatient Rehabilitation Facilities (IRFs)

  2. A

    Medicare Provider Data - Hospice Providers

    • data.amerigeoss.org
    • datadiscoverystudio.org
    html
    Updated Jul 29, 2019
    + more versions
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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.

  3. Connecticut Medicare Provider Utilization and Payment Data 2014: Part D...

    • data.wu.ac.at
    csv, json, xml
    Updated Apr 11, 2017
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    Centers for Medicare & Medicaid Services (CMS) (2017). Connecticut Medicare Provider Utilization and Payment Data 2014: Part D Prescriber [Dataset]. https://data.wu.ac.at/schema/data_ct_gov/Mzlubi0yZWtm
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    csv, xml, jsonAvailable download formats
    Dataset updated
    Apr 11, 2017
    Dataset provided by
    Centers for Medicare & Medicaid Services
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The Centers for Medicare & Medicaid Services (CMS) has prepared a public data set, the Medicare Provider Utilization and Payment Data: Part D Prescriber Public Use File (PUF), with information on prescription drugs prescribed by individual physicians and other health care providers and paid for under the Medicare Part D Prescription Drug Program. The Part D Prescriber PUF is based on information from CMS’s Chronic Conditions Data Warehouse, which contains Prescription Drug Event records submitted by Medicare Advantage Prescription Drug (MAPD) plans and by stand-alone Prescription Drug Plans (PDP). The dataset identifies providers by their National Provider Identifier (NPI) and the specific prescriptions that were dispensed at their direction, listed by brand name (if applicable) and generic name. For each prescriber and drug, the dataset includes the total number of prescriptions that were dispensed, which include original prescriptions and any refills, and the total drug cost. The total drug cost includes the ingredient cost of the medication, dispensing fees, sales tax, and any applicable administration fees and is based on the amount paid by the Part D plan, Medicare beneficiary, government subsidies, and any other third-party payers. Although the Part D Prescriber PUF has a wealth of information on payment and utilization for Medicare Part D prescriptions, the dataset has a number of limitations. Of particular importance is the fact that the data may not be representative of a physician’s entire practice or all of Medicare as it only includes information on beneficiaries enrolled in the Medicare Part D prescription drug program (i.e., approximately two-thirds of all Medicare beneficiaries). In addition, the data are not intended to indicate the quality of care provided. For additional limitations, please review the methodology document in the About tab.

  4. f

    Supplementary data: Availability of comparative real-world evidence research...

    • becaris.figshare.com
    docx
    Updated Apr 15, 2024
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    Ashley Jaksa; Patrick J. Arena; Nicolle Gatto (2024). Supplementary data: Availability of comparative real-world evidence research in Medicare patients: implications for Centers for Medicare and Medicaid Services drug price negotiations [Dataset]. http://doi.org/10.6084/m9.figshare.25605822.v1
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    docxAvailable download formats
    Dataset updated
    Apr 15, 2024
    Dataset provided by
    Becaris
    Authors
    Ashley Jaksa; Patrick J. Arena; Nicolle Gatto
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    These are peer-reviewed supplementary materials for the article 'Availability of comparative real-world evidence research in Medicare patients: implications for Centers for Medicare and Medicaid Services drug price negotiations' published in the Journal of Comparative Effectiveness Research.Supplemental Table 1: Primary search strategy for MEDLINE/PubMedSupplemental Table 2: List of identified studies from the primary searchSupplemental Table 3: Indications analyzed among the apixaban and rivaroxaban comparative studies in CMS RWDSupplemental Table 4: Comparators for the apixaban and rivaroxaban comparative studies in CMS RWDAim: To evaluate the availability of published comparative real-world evidence (RWE) studies in Medicare patients for the ten drugs set to undergo Centers for Medicare and Medicaid Services (CMS) price negotiations in 2026. Materials & methods: A scoping review was completed in MEDLINE/PubMed to evaluate the availability of comparative RWE investigations conducted among Medicare-eligible patient populations in the US for the following drugs: apixaban, rivaroxaban, sitagliptin, ibrutinib, empagliflozin, etanercept, dapagliflozin, sacubitril/valsartan, ustekinumab and insulin aspart. Results: Of the 170 real world comparative studies identified, 55 (32.4%) used Medicare real-world data (RWD) while 34 (20.0%) used commercial claims data in conjunction with either Medicare Advantage or Medicare Supplementary databases. The number of studies varied considerably by drug with apixaban and rivaroxaban studies accounting for the majority (i.e., 67.1%) of comparative RWE studies. Approximately a third or less of the comparative RWE studies were conducted in CMS RWD per drug. Conclusion: Our results demonstrate there is a considerable amount of comparative RWE for apixaban, rivaroxaban, and etanercept but limited comparative RWE for the other drugs set to undergo CMS price negotiations in 2026; additionally, our findings set up a number of next steps (e.g., risk of bias assessments) for further exploration of the available evidence base. Overall, CMS and manufacturers should consider proactively generating high quality comparative RWE studies in the Medicare population to ensure that future price negotiations are based on robust evidence.

  5. Rural Medicaid and CHIP enrollees

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv
    Updated Jan 18, 2025
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    Centers for Medicare & Medicaid Services (2025). Rural Medicaid and CHIP enrollees [Dataset]. https://data.virginia.gov/dataset/rural-medicaid-and-chip-enrollees
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    csvAvailable download formats
    Dataset updated
    Jan 18, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees by urban or rural residence. Results are shown overall; by state; and by four subpopulation topics: scope of Medicaid and CHIP benefits, race and ethnicity, disability-related eligibility category, and managed care participation. These results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands who were enrolled for at least one day in the calendar year, except where otherwise noted. Enrollees in Guam, American Samoa, and the Northern Mariana Islands are not included. Results shown overall (where subpopulation topic is "Total enrollees") and for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results shown for the race and ethnicity, disability category, and managed care participation subpopulation topics only include Medicaid and CHIP enrollees with comprehensive benefits. Results shown for the disability category subpopulation topic only include working-age adults (ages 19 to 64). Results for states with TAF data quality issues in the year have a value of "Unusable data." Some rows in the data set have a value of "DS," which indicates that data were suppressed according to the Centers for Medicare & Medicaid Services’ Cell Suppression Policy for values between 1 and 10. This data set is based on the brief: "Rural Medicaid and CHIP enrollees in 2020." Enrollees are assigned to an urban or rural category based on the 2010 Rural-Urban Commuting Area (RUCA) code associated with their home or mailing address ZIP code in TAF. Enrollees are assigned to the comprehensive benefits or limited benefits subpopulation according to the criteria in the "Identifying Beneficiaries with Full-Scope, Comprehensive, and Limited Benefits in the TAF" DQ Atlas brief. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to a disability category subpopulation using their latest reported eligibility group code and age in the year (Medicaid enrollees who qualify for benefits based on disability in 2020). Enrollees are assigned to a managed care participation subpopulation based on the managed care plan type code that applies to the majority of their enrolled-months during the year (Enrollment in CMC Plans). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.

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John Snow Labs (2021). Occupational Health And Safety Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/occupational-health-and-safety-data-package/
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Occupational Health And Safety Data Package

Utilization And Payment Data; Inpatient CMS Medicare Prospective Payment System; Hospital Inpatient Quality Reporting Program

Explore at:
csvAvailable download formats
Dataset updated
Jan 20, 2021
Dataset authored and provided by
John Snow Labs
Description

Information on utilization and payment data for Home health agency, Hospice, skilled nursing facitlity. Information on Inpatient Prospective Payment System (IPPS) payments, Inpatient Rehabilitation Facilities (IRFs)

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