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TwitterIn 2021, Medicare spending per beneficiary amounted an average of ****** U.S. dollars, a fairly sharp increase from the previous year. Medicare spending per person has being steadily rising over the provided time interval. Growth in health care spending is influenced by increasing volume and use of services, new technologies, and rising prices. This statistic displays the per capita Medicare spending in the U.S. from 2010 to 2021.
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TwitterThe Medicare Spending Per Beneficiary (MSPB) Measure shows whether Medicare spends more, less, or about the same for an episode of care (episode) at a specific hospital compared to all hospitals nationally. An MSPB episode includes Medicare Part A and Part B payments for services provided by hospitals and other healthcare providers the 3 days prior to, during, and 30 days following a patient's inpatient stay. This measure evaluates hospitals' costs compared to the costs of the national median (or midpoint) hospital. This measure takes into account important factors like patient age and health status (risk adjustment) and geographic payment differences (payment-standardization). The data displayed here are identical to the data displayed in the Medicare Spending per Beneficiary file, except that this file displays hospitals measure values out to six decimal places instead of two decimal places.
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TwitterIn 2021, Medicare spent an average of more than 13,139 U.S. dollars per enrollee in New York, while the average for the United States was 11,080 U.S. dollars per enrollee. This statistic depicts the leading ten U.S. states based on Medicare spending per enrollee in 2021.
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The "Medicare hospital spending per patient (Medicare Spending per Beneficiary)" measure shows whether Medicare spends more, less or about the same per Medicare patient treated in a specific hospital in Utah, compared to how much Medicare spends per patient nationally. This measure includes any Medicare Part A and Part B payments made for services provided to a patient during the 3 days prior to the hospital stay, during the stay, and during the 30 days after discharge from the hospital.
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This file allows healthcare executives and analysts to make informed decisions regarding how well continued improvements are being made over time so that they can understand how efficient they are fulfilling treatments while staying within budgetary constraints. Additionally, it’ll also help them map out trends amongst different hospitals and spot anomalies that could indicate areas where decisions should be reassessed as needed
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This dataset can provide valuable insights into how Medicare is spending per patient at specific hospitals in the United States. It can be used to gain a better understanding of the types of services covered under Medicare, and to what extent those services are being used. By comparing the average Medicare spending across different hospitals, users can also gain insight into potential disparities in care delivery or availability.
To use this dataset, first identify which hospital you are interested in analyzing. Then locate the row for that hospital in the dataset and review its associated values: value, footnote (optional), and start/end dates (optional). The Value column refers to how much Medicare spends on each particular patient; this is a numerical value represented as a decimal number up to 6 decimal places. The Footnote (optional) provides more information about any special circumstances that may need attention when interpreting the value data points. Finally, if Start Date and End Date fields are present they will specify over what timeframe these values were aggregated over.
Once all relevant data elements have been reviewed successively for all hospitals of interest then comparison analysis among them can be conducted based on Value, Footnote or Start/End dates as necessary to answer specific research questions or formulate conclusions about how Medicare is spending per patient at various hospitals nationwide
- Developing a cost comparison tool for hospitals that allows patients to compare how much Medicare spends per patient across different hospitals.
- Creating an algorithm to help predict Medicare spending at different facilities over time and build strategies on how best to manage those costs.
- Identifying areas in which a hospital can save money by reducing unnecessary spending in order to reduce overall Medicare expenses
If you use this dataset in your research, please credit the original authors. Data Source
License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.
File: Medicare_hospital_spending_per_patient_Medicare_Spending_per_Beneficiary_Additional_Decimal_Places.csv | Column name | Description | |:---------------|:--------------------------------------------------------------------------------------| | Value | The amount of Medicare spending per patient for a given hospital or region. (Numeric) | | Footnote | Any additional notes or information related to the value. (Text) | | Start_Date | The start date of the period for which the value applies. (Date) | | End_Date | The end date of the period for which the value applies. (Date) |
If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Health.
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Also known as Medicare Spending per Beneficiary (MSPB) Spending Breakdowns by Claim Type file. The data displayed here show average spending levels during hospitals’ Medicare Spending per Beneficiary (MSPB) episodes. An MSPB episode includes all Medicare Part A and Part B claims paid during the period from 3 days prior to a hospital admission through 30 days after discharge. These average Medicare payment amounts have been price-standardized to remove the effect of geographic payment differences and add-on payments for indirect medical education (IME) and disproportionate share hospitals (DSH). CMS uses the information on this webpage to calculate a hospital’s MSPB Measure value, which is reported on Hospital Compare. Specifically, the MSPB Measure methodology risk-adjusts the values on this webpage to account for beneficiary age and severity of illness. This webpage provides the pre-risk-adjusted values to help the public understand the MSPB Measure and its composition.
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TwitterIn 2020, among traditional Medicare beneficiaries, those who were diagnosed with COVID-19 had lower per capita spending compared to people diagnosed with other common health conditions. This statistic illustrates the average per capita traditional Medicare spending among beneficiaries diagnosed with select health conditions from March to December 2020.
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TwitterIn 1970, some 7.5 billion U.S. dollars were spent on the Medicare program in the United States. Fifty plus years later, this figure stood at 1,122.1 billion U.S. dollars. This statistic depicts total Medicare spending from 1970 to 2024. Increasing Medicare coverage Medicare is the federal health insurance program in the U.S. for the elderly and those with disabilities. In the U.S., the share of the population with any type of health insurance has increased to over 90 percent in the past decade. As of 2019, approximately 18 percent of the U.S. population was covered by Medicare in particular. Increasing Medicare costs Medicare costs are forecasted to continue increasing over time, with outlays rising to a predicted 1.78 trillion U.S. dollars by 2031 as the population continues to age. Certain diseases of old age, such as Alzheimer’s disease, are increasing in prevalence in the U.S., which will reflect on healthcare costs for the elderly. In 2021, Alzheimer's disease was estimated to cost Medicare and Medicaid around 239 billion U.S. dollars in care costs; by 2050, this number is projected to climb to 798 billion dollars.
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TwitterThe "Medicare hospital spending per patient (Medicare Spending per Beneficiary)" measure shows whether Medicare spends more, less or about the same per Medicare patient treated in a specific hospital, compared to how much Medicare spends per patient nationally. This measure includes any Medicare Part A and Part B payments made for services provided to a patient during the 3 days prior to the hospital stay, during the stay, and during the 30 days after discharge from the hospital.
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TwitterThe dataset includes the data for aged and disabled, Medicare Part A and Part B, beneficiaries reimbursement for the hospice by state and county of residence. The data included cover the years 2016 to 2022.
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TwitterThe data displayed here describes average spending levels during hospitals’ Medicare Spending per Beneficiary (MSPB) episodes by Medicare claim type. The data presented on Hospital Compare provide price-standardized, non-risk-adjusted values for hospital spending by claim type because risk adjustment is done at the episode level rather than at the service category/claim level. An MSPB episode includes all Medicare Part A and Part B claims paid during the period from 3 days prior to an inpatient hospital admission through 30 days after discharge.
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TwitterThis dataset includes a list of all hospitals that have been registered with Medicare and their Medicare Spending per Beneficiary (MSPB). The list includes Hospital Name, Period of hospital admission and Claim Type. It also includes Averages as well as Percentages of Spending per Episode for Hospital, State and Nation.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.
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Total Performance Score information
The Total Performance Score (TPS) is derived from 4 domains in FY 2020 (1) clinical outcomes domain, (2) person and community engagement domain, (3) safety domain, and (4) efficiency and cost reduction domain.
The clinical outcomes domain is comprised of 3 mortality measures and 1 hip/knee complication measure, and accounts for 25 percent of a hospital's TPS.
The person and community engagement domain is composed of 8 dimensions derived from the HCAHPS Survey, and accounts for 25 percent of a hospital’s TPS.
The safety domain contains 1 elective delivery measure and 5 healthcare-associated infection measures, and accounts for 25 percent of a hospital's TPS.
The efficiency and cost reduction domain contains 1 Medicare Spending per Beneficiary measure and accounts for 25 percent of a hospital's TPS.
~ 2700 rows covering all the participating hospitals across the USA.
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TwitterIn 2024, Medicare hospice expenditure reached an average payment of ****** U.S. dollars per beneficiary, with the average payment per day amounting to *** U.S. dollars. Both the average payments per day and average payments per beneficiaries have increased from 2019 to 2024.
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TwitterThe average payment per beneficiary without Alzheimer's for cancer services totaled 18,822 U.S. dollars, compared to 29,113 dollars for those with Alzheimer's or dementia. This statistic displays the annual mean payment per Medicare beneficiary aged 65 and older with and without Alzheimer's or dementia as of 2024, by coexisting condition.
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TwitterThis dataset contains a list of hospitals participating in the Hospital Value Based Purchasing Program and their performance ratios and scores for the Efficiency Medicare Spending per Beneficiary (MSPB) measure.
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TwitterThis dataset shows the Geographic Variation Public Use File that serves as an evaluation of the utilization and quality of healthcare services according to the geographic area of the population covered by Medicare. This dataset incorporates hospital referral region (HRR) level data that covers demographic, cost utilization and quality data for all beneficiaries regardless of age.
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TwitterOpen Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
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This dataset contains info on the number of Medicare Fee-for-Service Beneficiaries (FFS) receiving healthcare services from hospitals, physicians, and other providers, as well as their associated charges and payments. It provides in-depth, detailed demographics like age group, gender, all kinds of race/ethinicity data and geographical regions. This information can be used to better understand existing health disparities among Medicare FFS beneficiaries across the U.S., examine trends in utilization over time to identify areas where changes are needed within the system or research a wide range of policy issues in healthcare
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This dataset provides a look into Medicare Fee-for-Service beneficiaries in health services being utilized by those enrolled in the Medicare program. The information included can help to paint a picture of how Medicare recipients are using health services, such as hospital and physician visits, laboratory tests and procedures, prescription drugs and imaging services.
In order to make the most use of this data set for research or analysis purposes, there are several key pieces of information that should be taken into account. This includes examining both utilization data (such as the numbers of recommended specific procedures) as well as cost components (such as fee schedules). Specifics within this data set include the average estimated Submitted Charges for each procedure code from nationwide claims from 2011 to 2018.
When looking at utilization portion of this dataset it is important to consider: • Total number of services provided for each condition identified by ICD-9 or ICD10 code • Average total service minutes per beneficiary / patient with national average levels listed across five years throughout the period previously mentioned • Percentage change across accessed service types over time period wherein 2011 have been viewed versus more recent statistics • Top five provider specialty types who render service • Number of facilities providing care on annual basis along with percentages utilizing Rural Health Centers grouped together categories including but not exclusive not limited to metropolitan areas; counties; Congressional Districts ; Regions; states plus other geographic entities • Age groups who have used these facilities based on gender plus new acute admissions reported same time frame
A secondary component yet equally important component regarding fees associated with different medical therapies should be considered additionally when uses dataset  which includes:
• Amounts charged by certain facilities based upon current expenses related dates whether patient purchased generic version or brand-name medication due its additional costs relates most significantly towards said medication choices National level along with regional percentage splits relating drug alternatives utilized per given month Actual recharge associated calculated mechanism/formulae , sometimes may refer UPFS methodology Those charges represent sum total averages against whom paid expense examples include: Part B drugs recipients outpatient surgeries & facility visits Note future amounts collected depend upon patients Choice whether require certain distinct E&M codes sometimes need submit ancillary components( diagnoses codes ) separate selections meant cater both facility site & practitioner’s overall needs Sometimes technology assigns relative value unit ( RVU ) defining severity factors linked coding differing specialties so their respective fields well documented Finally analyzing any detail reporting requirements varying specialties
- Analyze various patterns in health services utilization by Medicare beneficiaries to provide insight into the most commonly used services and ways to improve care.
- Track the number of Medicare beneficiaries using each type of health service in order to identify potential underserved populations or areas with high usage levels that necessitate additional coverage or resources.
- Identify regional differences in provider use rates and payment amounts for specific types of health services, which can help inform efforts to improve equity and access across different geographical regions
If you use this dataset in your research, please credit the original authors. [Data Sou...
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TwitterThe CMS Program Statistics - Medicare Part A & Part B - All Types of Service tables provide use and payment data by type of coverage and type of service. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR SUMMARY AB 1. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for All Original Medicare Beneficiaries, by Type of Coverage and Type of Service, Yearly Trend MDCR SUMMARY AB 2. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Aged Original Medicare Beneficiaries, by Type of Coverage and Type of Service, Yearly Trend MDCR SUMMARY AB 3. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Disabled Original Medicare Beneficiaries by Type of Coverage and Type of Service, Yearly Trend MDCR SUMMARY AB 4. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Coverage, Demographic Characteristics, and Medicare-Medicaid Enrollment Status MDCR SUMMARY AB 5. Medicare Part A and Part B Summary: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Coverage and by Area of Residence MDCR SUMMARY AB 6. Medicare Part A and Part B Summary: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement, Amount of Program Payments, Type of Coverage, and Type of Service
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TwitterIn 2021, Medicare spending per beneficiary amounted an average of ****** U.S. dollars, a fairly sharp increase from the previous year. Medicare spending per person has being steadily rising over the provided time interval. Growth in health care spending is influenced by increasing volume and use of services, new technologies, and rising prices. This statistic displays the per capita Medicare spending in the U.S. from 2010 to 2021.