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TwitterThis dataset was created by Deepika koche
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TwitterDrug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq/index.html
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TwitterDrug utilization data are reported by states for covered outpatient drugs that are paid for by state Medicaid agencies since the start of the Medicaid Drug Rebate Program. The data includes state, drug name, National Drug Code, number of prescriptions and dollars reimbursed. Data descriptions are available on Medicaid.gov: https://www.medicaid.gov/medicaid/prescription-drugs/state-drug-utilization-data/state-drug-utilization-data-faq
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TwitterThis data set includes monthly counts and rates (per 1,000 beneficiaries) of behavioral health services, including emergency department services, inpatient services, intensive outpatient/partial hospitalizations, outpatient services, or services delivered through telehealth, provided to Medicaid and CHIP beneficiaries, by state. Users can filter by either mental health disorder or substance use disorder. 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 behavioral health 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. 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.
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TwitterCalifornia has more Medicaid and CHIP enrollees than any other state in the United States. As of April 2023, approximately ** million Americans were enrolled in the Medicaid health insurance programs in California, which accounted for approximately ** percent of the total number of Medicaid enrollees nationwide (**** million). Blow to Medicaid expansion plans California is one of many states that has expanded its Medicaid program under the Affordable Care Act (ACA) to encourage more low-income adults to sign up for health coverage. One of the original aims of the ACA was to limit some of the variations in state Medicaid programs, but the Supreme Court ruled that the expansion should be optional. Governors of the states that did not expand said they were concerned about long-term costs. California is the leading state for Medicaid expenditure, spending approximately **** billion U.S. dollars in FY2020. Health coverage for children The Children’s Health Insurance Program (CHIP) was created as a complement to Medicaid, expanding the reach of government-funded health coverage to more children in low-income families. As of May 2021, over **** million children were enrolled in Medicaid/CHIP programs in California, more than any other state. As of January 2021, the median Medicaid/CHIP eligibility level for children was *** percent of the federal poverty level.
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TwitterThe Centers for Medicare and Medicaid Services (CMS) offers researchers and other health care professionals a broad range of quantitative information on their programs, from estimates of future Medicare and Medicaid spending to enrollment, spending, and claims data, and a broad range of consumer research to help its partners and staff. CMS also conducts demonstration projects to explore alternative policies of health care coverage and delivery. National health expenditure data not specific to the Medicare or Medicaid programs are also included.
There are four tiers of data access available to researchers through CMS:
Subsets of CMS data can be viewed in interactive visualizations or dashboards that are organized by topic. Users may use these tools to filter for variables and indicators of interest, then export the underlying data as as CSV files. Topics that are currently covered by these tools include: medicare enrollment, disparities and social determinants of health, Medicaid opioid prescribing rates, market saturation and utilization at the state and county levels, and the prevalence of 18 chronic conditions among beneficiaries enrolled in Medicare fee-for-service at the state and county levels.
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TwitterThese reports provide summary information about mental health service utilization funded through Medicaid for Local Fiscal Years, beginning in service year 2006 and updated yearly thereafter. Totals are based on date of service and data are refreshed on a monthly basis so values in the same report may change over time. Prepaid Mental Health Plan (PMHP) data are included in these reports as Recovery Services (RS); however, Medicaid Managed Care data are not included. Expenditures include Comprehensive Outpatient Program Services (COPS) and Community Support Program (CSP) add-on payments, where applicable.
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TwitterOver ** million Americans were estimated to be enrolled in the Medicaid program as of 2024. After near continuous increase in Medicaid enrollment, especially during the pandemic, 2024 recorded the first deline in the number of enrollees. This is due to the ending of the COVID-19 continuous enrollment provision in April 2023. Since the 'unwinding', enrollees continue to decrease, but as of Spetember 2025 still stands higher than pre-pandemic figures. Medicaid is basically a joint federal and state health program that provides medical coverage to low-income individuals and families. Currently, Medicaid is responsible for ** percent of the nation’s health care bill, making it the third-largest payer behind private insurances and Medicare. From the beginning to ObamacareMedicaid was implemented in 1965 and since then has become the largest source of medical services for Americans with low income and limited resources. The program has become particularly prominent since the introduction of President Obama’s health reform – the Patient Protection and Affordable Care Act - in 2010. Medicaid was largely impacted by this reform, for states now had the opportunity to expand Medicaid eligibility to larger parts of the uninsured population. Thus, the percentage of uninsured in the United States decreased from over ** percent in 2010 to *** percent in 2024. Who is enrolled in Medicaid?Medicaid enrollment is divided mainly into four groups of beneficiaries: children, adults under 65 years of age, seniors aged 65 years or older, and disabled people. Children are the largest group, with a share of approximately ** percent of enrollees. However, their share of Medicaid expenditures is relatively small, with around ** percent. Compared to that, disabled people, accounting for ** percent of total enrollment, were responsible for ** percent of total expenditures. Around half of total Medicaid spending goes to managed care and health plans.
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Twitterhttps://www.usa.gov/government-works/https://www.usa.gov/government-works/
How much each state in the US had paid for each drug over the course of different quarters in 2020.
Downloaded from Data.Medicaid.gov
Price transparency of medications in the US.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Wherry, Laura R., Miller, Sarah, Kaestner, Robert, and Meyer, Bruce D., (2018) “Childhood Medicaid Coverage and Later Life Health Care Utilization.” Review of Economics and Statistics 100:2, 287-302.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This dataset includes the number of people enrolled in DSS services by town and by race from CY 2015-2024. To view the full dataset and filter the data, click the "View Data" button at the top right of the screen. More data on people served by DSS can be found here.
About this data
Notes by year 2021 In March 2020, Connecticut opted to add a new Medicaid coverage group: the COVID-19 Testing Coverage for the Uninsured. Enrollment data on this limited-benefit Medicaid coverage group is being incorporated into Medicaid data effective January 1, 2021.
Enrollment data for this coverage group prior to January 1, 2021, was listed under State Funded Medical. An historical accounting of enrollment of the specific coverage group starting in calendar year 2020 will also be published separately.
2018 On April 22, 2019 the methodology for determining HUSKY A Newborn recipients changed, which caused an increase of recipients for that benefit starting in October 2016. We now count recipients recorded in the ImpaCT system as well as in the HIX system for that assistance type, instead using HIX exclusively.
Also, the methodology for determining the address of the recipients changed: 1. The address of a recipient in the ImpaCT system is now correctly determined specific to that month instead of using the address of the most recent month. This resulted in some shuffling of the recipients among townships starting in October 2016.
On February 14, 2019 the enrollment counts for 2012-2015 across all programs were updated to account for an error in the data integration process. As a result, the count of the number of people served increased by 13% for 2012, 10% for 2013, 8% for 2014 and 4% for 2015. Counts for 2016, 2017 and 2018 remain unchanged.
On January 16, 2019 these counts were revised to count a recipient in all locations that recipient resided in that year.
On January 1, 2019 the counts were revised to count a recipient in only one town per year even when the recipient moved within the year. The most recent address is used.
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The New York State Department of Health (NYSDOH) collects annual data on children’s and adults’ use of health services. This information complements the quality of care and member satisfaction information collected through an annual public reporting system called the Quality Assurance Reporting Requirements (QARR). Utilization measures are designed to capture the frequency of certain services provided by health plans. NCQA does not view higher or lower services counts as better or worse performance. Plans with fewer than 30 eligible events are excluded from the statistical calculations of the percentiles.
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TwitterThe Medicaid Analytic eXtract (MAX) data is a set of person-level data files on Medicaid eligibility, service utilization, and payments. The MAX data are created to support research and policy analysis. The MAX data are extracted from the Medicaid Statistical Information System (MSIS). The MAX development process combines MSIS initial claims, interim claims, voids, and adjustments for a given service into final action events.
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TwitterThese reports provide summary information about mental health service utilization funded through Medicaid for Local Fiscal Years, beginning in service year 2006 and updated yearly thereafter. Totals are based on date of service and data are refreshed on a monthly basis so values in the same report may change over time. Prepaid Mental Health Plan (PMHP) data are included in these reports as Recovery Services (RS); however, Medicaid Managed Care data are not included. Expenditures include Comprehensive Outpatient Program Services (COPS) and Community Support Program (CSP) add-on payments, where applicable.
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Twitter2016-2019. 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.
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TwitterThis is the first set utilization data for clinicians publicly reported through Physician Compare. This is a subset of the 2015 Healthcare Common Procedure Coding System (HCPCS) codes. This dataset was updated on May 17, 2018.
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TwitterNCHS has linked data from various surveys with Medicare program enrollment and health care utilization and expenditure data from the Centers for Medicare & Medicaid Services (CMS). Linkage of the NCHS survey participants with the CMS Medicare data provides the opportunity to study changes in health status, health care utilization and costs, and prescription drug use among Medicare enrollees. Medicare is the federal health insurance program for people who are 65 or older, certain younger people with disabilities, and people with End-Stage Renal Disease.
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TwitterThis dataset contains measures of Health Home member service utilization. The New York State Department of Health (NYSDOH) collects annual data on children’s and adults’ use of health services. This information complements the Health Home Quality Measures information collected for the State Plan Amendment (SPA) and Core Set of health care quality measures. Utilization measures are designed to capture the frequency of certain services. NCQA does not view higher or lower services counts as better or worse performance.
The data used in the Health Home Utilization Measures are taken from the following sources: • Medicaid Data Mart: Claims and encounters data generated from the Medicaid Data Warehouse (MDW).
Please refer to the Overview document for additional information.
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TwitterAs of March 2021, there have been a large number of studies that look into the effect of the Affordable Care Act Medicaid Expansion on various outcomes. Most of these findings generally show positive effects of Medicaid expansion compared to states that have not expanded Medicaid (as of January 2021, there were 12 non-expansion states). The largest number of studies focused on the effect of Medicaid expansion on access and utilization of care with 70 percent of studies reporting positive effects. Most notably, all 25 studies on state economy found that Medicaid expansion actually had a positive economic impact on expansion states. This statistic shows the number of studies on the positive, mixed, and negative effects of ACA Medicaid expansion in the U.S. published between January 2014 and March 2021, sorted by outcome.
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TwitterThese reports provide summary information about mental health service utilization funded through Medicaid for each calendar year, beginning in 2014 and updated yearly thereafter. Both Fee for Service and Medicaid Managed Care data are included in the service counts and total expenditures. Data are reported by residential county and region.
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TwitterThis dataset was created by Deepika koche