5 datasets found
  1. Medicaid Fraud Control Units (MFCU) Annual Spending and Performance...

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Aug 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office of Inspector General, Department of Health & Human Services (2025). Medicaid Fraud Control Units (MFCU) Annual Spending and Performance Statistics [Dataset]. https://catalog.data.gov/dataset/medicaid-fraud-control-units-mfcu-annual-spending-and-performance-statistics
    Explore at:
    Dataset updated
    Aug 3, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    To inform HHS, States, Congress, and the public about the results and accomplishments of the State Medicaid Fraud Control Units.

  2. Medicaid Fraud Control Units (MFCUs)

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • odgavaprod.ogopendata.com
    • +3more
    Updated Jul 26, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Health & Human Services (2023). Medicaid Fraud Control Units (MFCUs) [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/medicaid-fraud-control-units-mfcu-annual-spending-and-performance-statistics-ddfe3
    Explore at:
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    Medicaid Fraud Control Units (MFCU or Unit) investigate and prosecute Medicaid fraud as well as patient abuse and neglect in health care facilities. OIG certifies, and annually recertifies, each MFCU. OIG collects information about MFCU operations and assesses whether they comply with statutes, regulations, and OIG policy. OIG also analyzes MFCU performance based on 12 published performance standards and recommends program improvements where appropriate.

  3. Medicaid Fraud Control Units (MFCU) Annual Spending and Performance...

    • healthdata.gov
    application/rdfxml +5
    Updated Jul 25, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Medicaid Fraud Control Units (MFCU) Annual Spending and Performance Statistics - hj4p-23ax - Archive Repository [Dataset]. https://healthdata.gov/dataset/Medicaid-Fraud-Control-Units-MFCU-Annual-Spending-/kvz6-fyzb
    Explore at:
    application/rssxml, application/rdfxml, csv, xml, tsv, jsonAvailable download formats
    Dataset updated
    Jul 25, 2023
    Description

    This dataset tracks the updates made on the dataset "Medicaid Fraud Control Units (MFCU) Annual Spending and Performance Statistics" as a repository for previous versions of the data and metadata.

  4. g

    Medicaid Fraud Control Units (MFCU) Annual Spending and Performance...

    • gimi9.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Medicaid Fraud Control Units (MFCU) Annual Spending and Performance Statistics | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_medicaid-fraud-control-units-mfcu-annual-spending-and-performance-statistics
    Explore at:
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    🇺🇸 미국

  5. f

    Table_1_American Indian and Non-Hispanic White Midlife Mortality Is...

    • frontiersin.figshare.com
    docx
    Updated Jun 4, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mark A. Brandenburg (2023). Table_1_American Indian and Non-Hispanic White Midlife Mortality Is Associated With Medicaid Spending: An Oklahoma Ecological Study (1999–2016).DOCX [Dataset]. http://doi.org/10.3389/fpubh.2020.00139.s011
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Mark A. Brandenburg
    License

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

    Area covered
    United States, Oklahoma
    Description

    Objective: A one third reduction of premature deaths from non-communicable diseases by 2030 is a target of the United Nations Sustainable Development Goal for Health. Unlike in other developed nations, premature mortality in the United States (US) is increasing. The state of Oklahoma suffers some of the greatest rates in the US of both all-cause mortality and overdose deaths. Medicaid opioids are associated with overdose death at the patient level, but the impact of this exposure on population all-cause mortality is unknown. The objective of this study was to look for an association between Medicaid spending, as proxy measure for Medicaid opioid exposure, and all-cause mortality rates in the 45–54-year-old American Indian/Alaska Native (AI/AN45-54) and non-Hispanic white (NHW45-54) populations.Methods: All-cause mortality rates were collected from the US Centers for Disease Control & Prevention Wonder Detailed Mortality database. Annual per capita (APC) Medicaid spending, and APC Medicare opioid claims, smoking, obesity, and poverty data were also collected from existing databases. County-level multiple linear regression (MLR) analyses were performed. American Indian mortality misclassification at death is known to be common, and sparse populations are present in certain counties; therefore, the two populations were examined as a combined population (AI/NHW45-54), with results being compared to NHW45-54 alone.Results: State-level simple linear regressions of AI/NHW45-54 mortality and APC Medicaid spending show strong, linear correlations: females, coefficient 0.168, (R2 0.956; P < 0.0001; CI95 0.15, 0.19); and males, coefficient 0.139 (R2 0.746; P < 0.0001; CI95 0.10, 0.18). County-level regression models reveal that AI/NHW45-54 mortality is strongly associated with APC Medicaid spending, adjusting for Medicare opioid claims, smoking, obesity, and poverty. In females: [R2 0.545; (F)P < 0.0001; Medicaid spending coefficient 0.137; P < 0.004; 95% CI 0.05, 0.23]. In males: [R2 0.719; (F)P < 0.0001; Medicaid spending coefficient 0.330; P < 0.001; 95% CI 0.21, 0.45].Conclusions: In Oklahoma, per capita Medicaid spending is a very strong risk factor for all-cause mortality in the combined AI/NHW45-54 population, after controlling for Medicare opioid claims, smoking, obesity, and poverty.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Office of Inspector General, Department of Health & Human Services (2025). Medicaid Fraud Control Units (MFCU) Annual Spending and Performance Statistics [Dataset]. https://catalog.data.gov/dataset/medicaid-fraud-control-units-mfcu-annual-spending-and-performance-statistics
Organization logo

Medicaid Fraud Control Units (MFCU) Annual Spending and Performance Statistics

Explore at:
Dataset updated
Aug 3, 2025
Dataset provided by
United States Department of Health and Human Serviceshttp://www.hhs.gov/
Description

To inform HHS, States, Congress, and the public about the results and accomplishments of the State Medicaid Fraud Control Units.

Search
Clear search
Close search
Google apps
Main menu