13 datasets found
  1. Managed Care Information for Medicaid and CHIP Beneficiaries by Year

    • datasets.ai
    • healthdata.gov
    • +3more
    8
    Updated Sep 28, 2024
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    U.S. Department of Health & Human Services (2024). Managed Care Information for Medicaid and CHIP Beneficiaries by Year [Dataset]. https://datasets.ai/datasets/managed-care-information-for-medicaid-and-chip-beneficiaries-by-year-dc72d
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    8Available download formats
    Dataset updated
    Sep 28, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human 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.

  2. program-information-for-medicaid-and-chip-benefici

    • huggingface.co
    Updated Jan 5, 2024
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    Department of Health and Human Services (2024). program-information-for-medicaid-and-chip-benefici [Dataset]. https://huggingface.co/datasets/HHS-Official/program-information-for-medicaid-and-chip-benefici
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    Dataset updated
    Jan 5, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    Description

    Program Information for Medicaid and CHIP Beneficiaries by Month

      Description
    

    This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by program type (Medicaid or CHIP). These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/program-information-for-medicaid-and-chip-benefici.

  3. Major Eligibility Group Information for Medicaid and CHIP Beneficiaries by...

    • datasets.ai
    • healthdata.gov
    • +2more
    8
    Updated Sep 22, 2024
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    U.S. Department of Health & Human Services (2024). Major Eligibility Group Information for Medicaid and CHIP Beneficiaries by Year [Dataset]. https://datasets.ai/datasets/major-eligibility-group-information-for-medicaid-and-chip-beneficiaries-by-year-69f99
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    8Available download formats
    Dataset updated
    Sep 22, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by major eligibility group (children, adult expansion group, adult, aged, persons with disabilities, or COVID newly-eligible). There are three metrics presented: (1) the number of beneficiaries ever enrolled in each major eligibility group over the year (duplicated count); (2) the number of beneficiaries enrolled in each major eligibility group as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly enrollment in each major eligibility group.

    These metrics are based on data in the T-MSIS Analytic Files (TAF). 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 topic Eligibility Group Code. 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.

  4. COVID Testing and Testing-Related Services Provided to Medicaid and CHIP...

    • datasets.ai
    • data.virginia.gov
    • +2more
    8
    Updated Aug 8, 2024
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    U.S. Department of Health & Human Services (2024). COVID Testing and Testing-Related Services Provided to Medicaid and CHIP Beneficiaries [Dataset]. https://datasets.ai/datasets/covid-testing-and-testing-related-services-provided-to-medicaid-and-chip-beneficiaries
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    8Available download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    This data set includes monthly counts and rates (per 1,000 beneficiaries) of COVID-19 testing services provided to Medicaid and CHIP beneficiaries, by state.

    These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating COVID-19 testing services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data.

    Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

  5. Acute Care Services Provided to the Medicaid and CHIP Population

    • datasets.ai
    • data.virginia.gov
    • +3more
    8
    Updated Sep 9, 2024
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    U.S. Department of Health & Human Services (2024). Acute Care Services Provided to the Medicaid and CHIP Population [Dataset]. https://datasets.ai/datasets/acute-care-services-provided-to-the-medicaid-and-chip-population-263f3
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    8Available download formats
    Dataset updated
    Sep 9, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    This data set includes monthly counts and rates (per 1,000 beneficiaries) of acute care services, including emergency department (ED) visits, inpatient stays, intensive care unit (ICU) stays, and ICU stays that include ventilator use, provided to Medicaid and CHIP beneficiaries, by state. Users can filter to acute care services for any reason, or acute care services for COVID-19.

    These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating acute care services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data.

    Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

  6. dual-status-information-for-medicaid-and-chip-bene

    • huggingface.co
    Updated Jan 5, 2024
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    Department of Health and Human Services (2024). dual-status-information-for-medicaid-and-chip-bene [Dataset]. https://huggingface.co/datasets/HHS-Official/dual-status-information-for-medicaid-and-chip-bene
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    Dataset updated
    Jan 5, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    Description

    Dual Status Information for Medicaid and CHIP Beneficiaries by Month

      Description
    

    This data set includes monthly enrollment counts of Medicaid and CHIP beneficiaries by dual eligibility status for Medicaid and Medicare (full dual eligibility, partial dual eligibility, or not dually eligible). These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/dual-status-information-for-medicaid-and-chip-bene.

  7. Number of pregnant and postpartum Medicaid and CHIP beneficiaries, 2017-2021...

    • datasets.ai
    • healthdata.gov
    • +2more
    8
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    U.S. Department of Health & Human Services, Number of pregnant and postpartum Medicaid and CHIP beneficiaries, 2017-2021 [Dataset]. https://datasets.ai/datasets/number-of-pregnant-and-postpartum-medicaid-and-chip-beneficiaries-2017-2020
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    8Available download formats
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    This table presents the number of pregnant and postpartum Medicaid and CHIP beneficiaries, 2017-2021. It includes (1) the number and percentage of beneficiaries ever pregnant in the year; (2) the number and percentage of live births in the year; (3) the number and percentage of miscarriages, stillbirths, or terminations in the year; and (4) the number and percentage of births with an unknown delivery outcome in the year.

    These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data.

    Data from Maryland, Tennessee, and Utah are omitted from the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the "Data Quality" column. 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.

  8. Contraceptive Care Services Provided to Medicaid and CHIP Beneficiaries ages...

    • datasets.ai
    • healthdata.gov
    • +2more
    8
    Updated Mar 28, 2023
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    U.S. Department of Health & Human Services (2023). Contraceptive Care Services Provided to Medicaid and CHIP Beneficiaries ages 15 to 44 [Dataset]. https://datasets.ai/datasets/contraceptive-care-services-provided-to-medicaid-and-chip-beneficiaries-ages-15-to-44-2fc98
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    8Available download formats
    Dataset updated
    Mar 28, 2023
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    This data set includes monthly counts and rates (per 1,000 beneficiaries) of contraceptives, including any contraceptives and long-acting reversible contraceptives, provided to female Medicaid and CHIP beneficiaries ages 15 to 44 (as of the first day of the month), by state.

    These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating contraceptive care services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data.

    Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

  9. health-screenings-provided-to-medicaid-and-chip-be

    • huggingface.co
    Updated Jan 5, 2024
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    Department of Health and Human Services (2024). health-screenings-provided-to-medicaid-and-chip-be [Dataset]. https://huggingface.co/datasets/HHS-Official/health-screenings-provided-to-medicaid-and-chip-be
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    Dataset updated
    Jan 5, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    Description

    Health Screenings Provided to Medicaid and CHIP Beneficiaries Under Age 19

      Description
    

    This data set includes monthly counts and rates (per 1,000 beneficiaries) of health screenings provided to Medicaid and CHIP beneficiaries under the age of 19 (as of the first day of the month) by state. These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/health-screenings-provided-to-medicaid-and-chip-be.

  10. 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.

  11. Beneficiaries receiving a behavioral health service by behavioral health...

    • datasets.ai
    • data.virginia.gov
    • +2more
    8
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    U.S. Department of Health & Human Services, Beneficiaries receiving a behavioral health service by behavioral health condition, 2017-2021 [Dataset]. https://datasets.ai/datasets/beneficiaries-receiving-a-behavioral-health-service-by-behavioral-health-condition-2017-20
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    8Available download formats
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    This table presents beneficiaries who received at least one behavioral health service, by behavioral health condition, 2017-2021.

    Some states have serious data quality issues, making the data unusable for identifying this population. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional, Gender, Age, Zip code, Race and ethnicity, Eligibility group code, Enrollment in CMC Plans.

    Data from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the "Data Quality" column. 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. Respiratory Conditions in the Medicaid and CHIP Population

    • datasets.ai
    • healthdata.gov
    • +3more
    8
    Updated Sep 14, 2024
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    U.S. Department of Health & Human Services (2024). Respiratory Conditions in the Medicaid and CHIP Population [Dataset]. https://datasets.ai/datasets/respiratory-conditions-in-the-medicaid-and-chip-population
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    8Available download formats
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    This data set includes monthly counts and percentages of Medicaid and CHIP beneficiaries, by state, who received at least one service for each of the following conditions: acute bronchitis, acute respiratory distress, bronchitis not other specified (NOS), COVID-19 (based on the presence of diagnosis code U07.1), influenza, lower or acute respiratory infection, pneumonia, respiratory infection NOS, and suspected COVID-19 (based on the presence of diagnosis code B97.29).

    These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating COVID-related conditions measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data.

    Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

  13. Beneficiaries receiving a physical hlth serv among beneficiaries receiving a...

    • datasets.ai
    • healthdata.gov
    • +3more
    8
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    U.S. Department of Health & Human Services, Beneficiaries receiving a physical hlth serv among beneficiaries receiving a mental hlth serv, by physical hlth cond, 2017-2021 [Dataset]. https://datasets.ai/datasets/beneficiaries-receiving-a-physical-hlth-serv-among-beneficiaries-receiving-a-mental-h-2017
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    8Available download formats
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    This table presents beneficiaries who received a service for a physical health condition among beneficiaries who received a service for a mental health condition, by physical health condition, 2017-2021.

    Some states have serious data quality issues, making the data unusable for identifying this population. To assess data quality, analysts used measures featured in the DQ Atlas. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional, Gender, Age, Zip code, Race and ethnicity, Eligibility group code, Enrollment in CMC Plans.

    Data from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the "Data Quality" column. 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.

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U.S. Department of Health & Human Services (2024). Managed Care Information for Medicaid and CHIP Beneficiaries by Year [Dataset]. https://datasets.ai/datasets/managed-care-information-for-medicaid-and-chip-beneficiaries-by-year-dc72d
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Managed Care Information for Medicaid and CHIP Beneficiaries by Year

Explore at:
8Available download formats
Dataset updated
Sep 28, 2024
Dataset provided by
United States Department of Health and Human Serviceshttp://www.hhs.gov/
Authors
U.S. Department of Health & Human 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.

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