100+ datasets found
  1. Costs not covered by insurance: average out-of-pocket medical expenses

    • statista.com
    Updated Apr 2, 2010
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    Statista (2010). Costs not covered by insurance: average out-of-pocket medical expenses [Dataset]. https://www.statista.com/statistics/185903/average-out-of-pocket-medical-costs-not-covered-by-insurance/
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    Dataset updated
    Apr 2, 2010
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 19, 2010 - Apr 2, 2010
    Area covered
    United States
    Description

    The statistic represents the percentage of out-of-pocket expenses, which are not covered by health insurance in the U.S. The results show that 15 percent of Americans pay between 500 and 999 U.S. dollars of out-of-pocket expenses.

  2. U.S. per capita out-of-pocket health care payments 1970-2022

    • statista.com
    • ai-chatbox.pro
    Updated Jun 16, 2025
    + more versions
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    Statista (2025). U.S. per capita out-of-pocket health care payments 1970-2022 [Dataset]. https://www.statista.com/statistics/484578/us-per-capita-out-of-pocket-health-care-payments-since-1960/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, U.S. out-of-pocket health care payments was reported to come to an average of ******* U.S. dollars per capita. In the U.S., especially out-of-pocket payments for prescribed drugs can be very high. This statistic depicts the per capita out-of-pocket health care payments in the United States from 1970 to 2022.

  3. United States US: Proportion of Population Spending More Than 25% of...

    • ceicdata.com
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    CEICdata.com, United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % [Dataset]. https://www.ceicdata.com/en/united-states/poverty/us-proportion-of-population-spending-more-than-25-of-household-consumption-or-income-on-outofpocket-health-care-expenditure-
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2002 - Dec 1, 2013
    Area covered
    United States
    Description

    United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data was reported at 0.781 % in 2013. This records a decrease from the previous number of 0.856 % for 2012. United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data is updated yearly, averaging 0.880 % from Dec 1995 (Median) to 2013, with 18 observations. The data reached an all-time high of 1.078 % in 2000 and a record low of 0.724 % in 2008. United States US: Proportion of Population Spending More Than 25% of Household Consumption or Income on Out-of-Pocket Health Care Expenditure: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Poverty. Proportion of population spending more than 25% of household consumption or income on out-of-pocket health care expenditure, expressed as a percentage of a total population of a country; ; Wagstaff et al. Progress on catastrophic health spending: results for 133 countries. A retrospective observational study, Lancet Global Health 2017.; Weighted Average;

  4. Healthcare Payments Data (HPD) Medical Out-of-Pocket Costs and Chronic...

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    pdf, xlsx, zip
    Updated Mar 20, 2025
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    Department of Health Care Access and Information (2025). Healthcare Payments Data (HPD) Medical Out-of-Pocket Costs and Chronic Conditions [Dataset]. https://data.chhs.ca.gov/dataset/healthcare-payments-data-hpd-medical-out-of-pocket-costs-and-chronic-conditions
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    xlsx(10729), xlsx(1566260), pdf(201419), zipAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description

    This dataset contains data for the Healthcare Payments Data (HPD): Medical Out-of-Pocket Costs and Chronic Conditions report. The data covers three measurement categories: annual member count, annual median out-of-pocket count, annual median claim count. The annual member count quantify the number of unique individuals who received at least one medical service in the reporting year. Annual median out-of-pocket measurements quantifies the sum of copay, coinsurance, and deductible incurred by members. Annual median claim count measurements quantifies the number of distinct claims or encounters associated with members. Both 25th and 75th percentiles for out-of-pocket cost and claim count are also included. Measures are grouped by payer types, chronic conditions flag, chronic condition types, and chronic condition numbers.

  5. United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-outofpocket-health-expenditure--of-private-expenditure-on-health
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Area covered
    United States
    Variables measured
    undefined
    Description

    United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 21.365 % in 2014. This records a decrease from the previous number of 21.927 % for 2013. United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 23.966 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 26.623 % in 1998 and a record low of 21.365 % in 2014. United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

  6. Cuba CU: Out-of-Pocket Health Expenditure: % of Current Health Expenditure

    • ceicdata.com
    • dr.ceicdata.com
    Updated May 20, 2021
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    CEICdata.com (2021). Cuba CU: Out-of-Pocket Health Expenditure: % of Current Health Expenditure [Dataset]. https://www.ceicdata.com/en/cuba/health-statistics/cu-outofpocket-health-expenditure--of-current-health-expenditure
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    Dataset updated
    May 20, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Cuba
    Description

    Cuba CU: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 10.308 % in 2016. This records an increase from the previous number of 9.644 % for 2015. Cuba CU: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 12.272 % from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 20.340 % in 2003 and a record low of 8.100 % in 2009. Cuba CU: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cuba – Table CU.World Bank.WDI: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;

  7. Milliman medical index in U.S. 2013-2023

    • statista.com
    Updated Jun 29, 2023
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    Statista (2023). Milliman medical index in U.S. 2013-2023 [Dataset]. https://www.statista.com/statistics/827399/annual-medical-cost-for-a-family-of-four/
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    Dataset updated
    Jun 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the Milliman Medical Index (MMI) or the annual medical cost for a family of four in the U.S. from 2013 to 2023. In 2013, the projected annual medical cost for a family of four was 22,030 U.S. dollars whereas this cost increased to 31,065 U.S. dollars in 2023.

  8. U.S. health care expenditure distribution by payer 2015-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 13, 2025
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    Statista (2025). U.S. health care expenditure distribution by payer 2015-2024 [Dataset]. https://www.statista.com/statistics/237043/us-health-care-spending-distribution/
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States has the highest expenditure on health care per capita globally. However, the U.S. has an unique way of paying for their health care where a majority of the expenditure falls upon private insurances. In FY 2024, around one ***** of all health expenditure is paid by private insurance. Public insurance programs Medicare and Medicaid accounted for ** and ** percent, respectively, of health expenditure during that same year. U.S. health care system Globally health spending has been increasing among most countries. However, the U.S. has the highest public and private per capita health expenditure among all countries globally, followed by Switzerland. As of 2020, annual health care costs per capita in the United States totaled to over ** thousand U.S. dollars, a significant amount considering the average U.S. personal income is around ** thousand dollars. Out of pocket costs in the U.S. Aside from overall high health care costs for U.S. residents, the total out-of-pocket costs for health care have been on the rise. In recent years, the average per capita out-of-pocket health care payments have exceeded *** thousand dollars. Physician services, dental services and prescription drugs account for the largest proportion of out-of-pocket expenditures for U.S. residents.

  9. c

    Average Deductible Amount for Health Insurance in U.S. (2006-2024)

    • consumershield.com
    csv
    Updated Jan 15, 2025
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    ConsumerShield Research Team (2025). Average Deductible Amount for Health Insurance in U.S. (2006-2024) [Dataset]. https://www.consumershield.com/articles/average-deductible-for-health-insurance
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    csvAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    License

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

    Area covered
    United States of America
    Description

    The graph illustrates the average deductible amount for health insurance in the United States from 2006 to 2024. The x-axis represents the years, spanning from 2006 to 2024, while the y-axis displays the average deductible amounts in dollars. Over this 18-year period, the average deductible amount increased from $584 in 2006 to $1,787 in 2024. The lowest recorded amount was $584 in 2006, and the highest was $1,787 in 2024. The data shows a consistent upward trend in average health insurance deductibles over the years, with a slight decrease from $1,763 in 2022 to $1,735 in 2023. This indicates that deductibles have generally risen over time, impacting the out-of-pocket expenses for insured individuals.

  10. Trinidad and Tobago TT: Out-of-Pocket Health Expenditure: % of Current...

    • ceicdata.com
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    CEICdata.com, Trinidad and Tobago TT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure [Dataset]. https://www.ceicdata.com/en/trinidad-and-tobago/health-statistics/tt-outofpocket-health-expenditure--of-current-health-expenditure
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    Trinidad and Tobago
    Description

    Trinidad and Tobago TT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 37.333 % in 2015. This records an increase from the previous number of 36.581 % for 2014. Trinidad and Tobago TT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 44.590 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 50.233 % in 2004 and a record low of 35.633 % in 2010. Trinidad and Tobago TT: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank.WDI: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;

  11. f

    Table_1_Direct medical costs of ischemic heart disease in urban Southern...

    • frontiersin.figshare.com
    docx
    Updated Jun 2, 2023
    + more versions
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    Peixuan Xie; Xuezhu Li; Feifan Guo; Donglan Zhang; Hui Zhang (2023). Table_1_Direct medical costs of ischemic heart disease in urban Southern China: a 5-year retrospective analysis of an all-payer health claims database in Guangzhou City.docx [Dataset]. http://doi.org/10.3389/fpubh.2023.1146914.s002
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    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Peixuan Xie; Xuezhu Li; Feifan Guo; Donglan Zhang; Hui Zhang
    License

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

    Area covered
    Guangzhou, China
    Description

    IntroductionThis study aimed to estimate the direct medical costs and out-of-pocket (OOP) expenses associated with inpatient and outpatient care for IHD, based on types of health insurance. Additionally, we sought to identify time trends and factors associated with these costs using an all-payer health claims database among urban patients with IHD in Guangzhou City, Southern China.MethodsData were collected from the Urban Employee-based Basic Medical Insurance (UEBMI) and the Urban Resident-based Basic Medical Insurance (URBMI) administrative claims databases in Guangzhou City from 2008 to 2012. Direct medical costs were estimated in the entire sample and by types of insurance separately. Extended Estimating Equations models were employed to identify the potential factors associated with the direct medical costs including inpatient and outpatient care and OOP expenses.ResultsThe total sample included 58,357 patients with IHD. The average direct medical costs per patient were Chinese Yuan (CNY) 27,136.4 [US dollar (USD) 4,298.8] in 2012. The treatment and surgery fees were the largest contributor to direct medical costs (52.0%). The average direct medical costs of IHD patients insured by UEBMI were significantly higher than those insured by the URBMI [CNY 27,749.0 (USD 4,395.9) vs. CNY 21,057.7(USD 3,335.9), P < 0.05]. The direct medical costs and OOP expenses for all patients increased from 2008 to 2009, and then decreased during the period of 2009–2012. The time trends of direct medical costs between the UEBMI and URBMI patients were different during the period of 2008-2012. The regression analysis indicated that the UEBMI enrollees had higher direct medical costs (P < 0.001) but had lower OOP expenses (P < 0.001) than the URBMI enrollees. Male patients, patients having percutaneous coronary intervention operation and intensive care unit admission, patients treated in secondary hospitals and tertiary hospitals, patients with the LOS of 15–30 days, 30 days and longer had significantly higher direct medical costs and OOP expenses (all P < 0.001).ConclusionsThe direct medical costs and OOP expenses for patients with IHD in China were found to be high and varied between two medical insurance schemes. The type of insurance was significantly associated with direct medical costs and OOP expenses of IHD.

  12. Bahamas BS: Out-of-Pocket Health Expenditure: % of Private Expenditure on...

    • ceicdata.com
    • dr.ceicdata.com
    Updated Feb 8, 2018
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    CEICdata.com (2018). Bahamas BS: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health [Dataset]. https://www.ceicdata.com/en/bahamas/health-statistics/bs-outofpocket-health-expenditure--of-private-expenditure-on-health
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    Dataset updated
    Feb 8, 2018
    Dataset provided by
    CEIC Data
    License

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

    Area covered
    The Bahamas
    Variables measured
    undefined
    Description

    Bahamas BS: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 53.982 % in 2014. This stayed constant from the previous number of 53.982 % for 2013. Bahamas BS: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 50.724 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 53.982 % in 2014 and a record low of 40.127 % in 1995. Bahamas BS: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bahamas – Table BS.World Bank.WDI: Social: Health Statistics. Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

  13. f

    Additional file 3 of The effect of shifting medical coverage from National...

    • springernature.figshare.com
    xlsx
    Updated Jun 4, 2023
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    Doo Woong Lee; Jieun Jang; Dong-Woo Choi; Sung-In Jang; Eun-Cheol Park (2023). Additional file 3 of The effect of shifting medical coverage from National Health Insurance to Medical Aid type I and type II on health care utilization and out-of-pocket spending in South Korea [Dataset]. http://doi.org/10.6084/m9.figshare.13153021.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    figshare
    Authors
    Doo Woong Lee; Jieun Jang; Dong-Woo Choi; Sung-In Jang; Eun-Cheol Park
    License

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

    Area covered
    South Korea
    Description

    Additional file 3: Table S2. Estimated Average Health Care Utilization and Out-of-pocket Medical Spending Difference in Medical Aid Type II panel by difference-in-differences analysis. * Log Link with Zero-Inflated Negative Binomial Distribution was applied in the regression analysis because of exceess zeros in the outcomes. a Models additionally adjusted for individuals’ health related characteristics (mostly visited type of medical institution, lasted period of chronic disease). b Propensity score matched for sex, age, region, equivalized household disposable income, marital status, economic activity status, number of private insurance, expenditure on private insurance.

  14. United States US: Number of People Pushed Below the 50% Median Consumption...

    • ceicdata.com
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    CEICdata.com, United States US: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure [Dataset]. https://www.ceicdata.com/en/united-states/poverty/us-number-of-people-pushed-below-the-50-median-consumption-poverty-line-by-outofpocket-health-care-expenditure
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    Dataset provided by
    CEIC Data
    License

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

    Area covered
    United States
    Variables measured
    undefined
    Description

    United States US: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure data was reported at 1,848,000.000 Person in 2013. This records a decrease from the previous number of 1,986,000.000 Person for 2012. United States US: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure data is updated yearly, averaging 2,141,000.000 Person from Dec 1995 (Median) to 2013, with 18 observations. The data reached an all-time high of 3,810,000.000 Person in 1996 and a record low of 1,604,000.000 Person in 2011. United States US: Number of People Pushed Below the 50% Median Consumption Poverty Line by Out-of-Pocket Health Care Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Poverty. Number of people pushed below the 50% median consumption poverty line by out-of-pocket health care expenditure; ; Wagstaff et al. Progress on Impoverishing Health Spending: Results for 122 Countries. A Retrospective Observational Study, Lancet Global Health 2017; Sum;

  15. Healthcare Payments Data (HPD): Fee-For-Service Drug Costs in the Commercial...

    • catalog.data.gov
    • data.chhs.ca.gov
    • +2more
    Updated Nov 27, 2024
    + more versions
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    Department of Health Care Access and Information (2024). Healthcare Payments Data (HPD): Fee-For-Service Drug Costs in the Commercial Market [Dataset]. https://catalog.data.gov/dataset/healthcare-payments-data-hpd-fee-for-service-drug-costs-in-the-commercial-market-ea9bb
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Department of Health Care Access and Information
    Description

    The data set includes the top 25 list for costliest prescribed drugs, most frequently prescribed drugs and the prescribed drugs with the highest monthly median out-of-pocket costs. Each of these top 25 lists are given for commercial plans and are broken out by brand or generic category (i.e., Brand or Generic, Brand, and Generic). The includes National Drug Code (NDC), Drug Name, number of prescriptions, number of individuals, total costs, cost per prescription and monthly median out-of-pocket costs for each NDC in each top 25 list.

  16. United States US: Health Expenditure: Private: % of GDP

    • ceicdata.com
    Updated Mar 15, 2009
    + more versions
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    CEICdata.com (2009). United States US: Health Expenditure: Private: % of GDP [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-health-expenditure-private--of-gdp
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    Dataset updated
    Mar 15, 2009
    Dataset provided by
    CEIC Data
    License

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

    Area covered
    United States
    Variables measured
    undefined
    Description

    United States US: Health Expenditure: Private: % of GDP data was reported at 8.862 % in 2014. This records an increase from the previous number of 8.853 % for 2013. United States US: Health Expenditure: Private: % of GDP data is updated yearly, averaging 8.434 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 8.985 % in 2009 and a record low of 7.132 % in 1997. United States US: Health Expenditure: Private: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

  17. f

    Impact of universal medical insurance system on the accessibility of medical...

    • figshare.com
    • plos.figshare.com
    doc
    Updated May 31, 2023
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    Xiaolei Xiong; Zhiguo Zhang; Jing Ren; Jie Zhang; Xiaoyun Pan; Liang Zhang; Shiwei Gong; Si Jin (2023). Impact of universal medical insurance system on the accessibility of medical service supply and affordability of patients in China [Dataset]. http://doi.org/10.1371/journal.pone.0193273
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    docAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xiaolei Xiong; Zhiguo Zhang; Jing Ren; Jie Zhang; Xiaoyun Pan; Liang Zhang; Shiwei Gong; Si Jin
    License

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

    Description

    BackgroundChina’s universal medical insurance system (UMIS) is designed to promote social fairness through improving access to medical services and reducing out-of-pocket (OOP) costs for all Chinese. However, it is still not known whether UMIS has a significant impact on the accessibility of medical service supply and the affordability, as well as the seeking-care choice, of patients in China.MethodsSegmented time-series regression analysis, as a powerful statistical method of interrupted time series design, was used to estimate the changes in the quantity and quality of medical service supply before and after the implementation of UMIS. The rates of catastrophic payments and seeking-care choices for UMIS beneficiaries were selected to measure the affordability and medical service flow of patients after the implementation of UMIS.ResultsChina’s UMIS was established in 2008. After that, the trending increase of the expenditure of the UMIS was higher than that of increase in revenue compared to previous years. Up to 2014, the UMIS had covered 97.5% of the entire population in China. After introduction of the UMIS, there were significant increases in licensed physicians, nurses, and hospital beds per 1000 individuals. In addition, hospital outpatient visits and inpatient visits per year increased compared to the pre-UMIS period. The average fatality rate of inpatients in the overall hospital and general hospital and the average fatality rate due to acute myocardial infarction (AMI) in general hospitals was significantly decreased. In contrast, no significant and prospective changes were observed in rural physicians per 1000 individuals, inpatient visits and inpatient fatality rate in the community centers and township hospitals compared to the pre-UMIS period. After 2008, the rates of catastrophic payments for UMIS inpatients at different income levels were declining at three levels of hospitals. Whichever income level, the rate of catastrophic payments for inpatients of Urban Employee’s Basic Medical Insurance was the lowest. For the low-income patients, a single hospitalization at a tertiary hospital can lead to catastrophic payments. It is needless to say what the economic burden could be if patients required multiple hospitalizations within a year. UMIS beneficiaries showed the intention of growth to seek hospitalization services in tertiary hospitals.ConclusionsIntroduction of the UMIS contributed to an increase in available medical services and the use thereof, and a decrease in fatality rate. The affordability of UMIS beneficiaries for medical expenses was successfully ameliorated. The differences in patients’ affordability are mainly manifested in different medical insurance schemes and different seeking-care choices. The ability of the poor patients covered by UMIS to resist catastrophic medical payments is still relatively weak. Therefore, the current UMIS should reform the insurance payment model to promote the integration of medical services and the formation of a tiered treatment system. UMIS also should establish supplementary medical insurance packages for the poor.

  18. Mexico MX: Out-of-Pocket Health Expenditure: % of Current Health Expenditure...

    • ceicdata.com
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    CEICdata.com, Mexico MX: Out-of-Pocket Health Expenditure: % of Current Health Expenditure [Dataset]. https://www.ceicdata.com/en/mexico/health-statistics/mx-outofpocket-health-expenditure--of-current-health-expenditure
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Mexico
    Description

    Mexico MX: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 40.378 % in 2016. This records an increase from the previous number of 40.189 % for 2015. Mexico MX: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 45.647 % from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 55.664 % in 2003 and a record low of 39.871 % in 2013. Mexico MX: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Health Statistics. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;

  19. Share of income spent on health plan costs by U.S. employees 2020, by state

    • statista.com
    Updated Mar 22, 2023
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    Statista (2023). Share of income spent on health plan costs by U.S. employees 2020, by state [Dataset]. https://www.statista.com/statistics/1263964/percent-of-income-spent-on-health-plan-by-us-employees-by-state/
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    Dataset updated
    Mar 22, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    In 2020, an employee's premium contributions and deductibles were 10 percent or more of their state's median income in 37 states. Workers in Mississippi and New Mexico faced the highest total potential out-of-pocket medical costs relative to their income at 19 and 18.1 percent respectively. This statistic shows the percentage of state median income spent on premium contribution and deductible by U.S. employees in 2020, by state.

  20. f

    Average annual out-of-pocket medical and transportation expenditures (USD)...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Silvia Martínez-Valverde; Guillermo Salinas-Escudero; Constanza García-Delgado; Juan Garduño-Espinosa; Verónica F. Morán-Barroso; Víctor Granados-García; Ma. Teresa Tiro-Sánchez; Filiberto Toledano-Toledano; Ma. Vanessa Aldaz-Rodríguez (2023). Average annual out-of-pocket medical and transportation expenditures (USD) and percentage of total available household expenditures, the percentage of households with catastrophic expenditures, and average hours of care provided in families having children with Down Syndrome, categorized by deciles of average per capita total household expenditures. [Dataset]. http://doi.org/10.1371/journal.pone.0208076.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Silvia Martínez-Valverde; Guillermo Salinas-Escudero; Constanza García-Delgado; Juan Garduño-Espinosa; Verónica F. Morán-Barroso; Víctor Granados-García; Ma. Teresa Tiro-Sánchez; Filiberto Toledano-Toledano; Ma. Vanessa Aldaz-Rodríguez
    License

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

    Description

    Average annual out-of-pocket medical and transportation expenditures (USD) and percentage of total available household expenditures, the percentage of households with catastrophic expenditures, and average hours of care provided in families having children with Down Syndrome, categorized by deciles of average per capita total household expenditures.

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Statista (2010). Costs not covered by insurance: average out-of-pocket medical expenses [Dataset]. https://www.statista.com/statistics/185903/average-out-of-pocket-medical-costs-not-covered-by-insurance/
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Costs not covered by insurance: average out-of-pocket medical expenses

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Dataset updated
Apr 2, 2010
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 19, 2010 - Apr 2, 2010
Area covered
United States
Description

The statistic represents the percentage of out-of-pocket expenses, which are not covered by health insurance in the U.S. The results show that 15 percent of Americans pay between 500 and 999 U.S. dollars of out-of-pocket expenses.

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