This statistic depicts a projection of the total number of persons in the United States enrolled in health care insurance exchanges under the Affordable Care Act (ACA) from 2015 to 2025. By 2018, the total number of health insurance exchange enrollment is expected to total 25 million nonelderly people.

This statistic displays a projection of the number of less uninsured in the United States due to the Affordable Care Act (ACA) from 2015 to 2025. By 2018, there will be some 26 million less uninsured nonelderly people due to the implementation of the ACA.

This statistic displays an estimate of the number of uninsured nonelderly people in the United States without the Affordable Care Act (ACA) from 2015 to 2025. By 2018, the number of uninsured people aged under 65 years would reach 55 million without the current health law.

As of 2023, nearly *** million people in the United States had some kind of health insurance, a significant increase from around *** million insured people in 2010. However, as of 2023, there were still approximately ** million people in the United States without any kind of health insurance. Insurance coverage The United States does not have universal health insurance, and so health care cost is mostly covered through different private and public insurance programs. In 2021, almost ** percent of the insured population of the United States were insured through employers, while **** percent of people were insured through Medicaid, and **** percent of people through Medicare. As of 2022, about *** percent of people were uninsured in the U.S., compared to ** percent in 2010. The Affordable Care Act The Affordable Care Act (ACA) significantly reduced the number of uninsured people in the United States, from **** million uninsured people in 2013 to **** million people in 2015. However, since the repeal of the individual mandate the number of people without health insurance has risen. Healthcare reform in the United States remains an ongoing political issue with public opinion on a Medicare-for-all plan consistently divided.

This data set contains Affordable Care Act enrollment by Zip Code in Utah

In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a quarterly survey of the nonelderly population, to explore the value of cutting-edge, Internet-based survey methods to monitor the Affordable Care Act (ACA) before data from federal government surveys are available. Topics covered by the first quarter 2015 survey (the ninth round of the HRMS) include self-reported health status, awareness of key provisions of the ACA, sources of information about the health plans offered in the ACA marketplace, whether health insurance was purchased through the ACA marketplace, difficulties with access to health care and paying for medical bills and housing costs, out-of-pocket health care costs, type of health insurance coverage if any, and reasons for not having health insurance. Respondents who enrolled in a health insurance plan through the ACA marketplace in 2014 were asked if and why they renewed or changed their plan in 2015. Additional information collected by the survey includes age, gender, sexual orientation, marital status, family size, education, race, Hispanic origin, United States citizenship, housing type, home ownership, internet access, income, employment status, and employer size. The data file also records whether the respondent reported an ambulatory care sensitive condition or a mental or behavioral health condition and whether the respondent or a family member received Social Security, Supplemental Security Income, unemployment insurance benefits or benefits though the Supplement Nutrition Assistance Program, Earned Income Tax Credit, Temporary Assistance for Needy Families, or child care services or child care assistance from a local welfare agency or case manager.

IntroductionThe Affordable Care Act (ACA) expanded the coverage of Medicaid to include entire population with income below 138% of federal poverty line. It remains unclear whether this policy change has improved access to and utilization of health care, particularly use of mammography and Pap tests among poor women.MethodsWe used a difference-in-difference (DID) design to estimate the impact of Medicaid expansion on mammography and Pap tests utilization among low-income women. Expansion states are the treatment group and non-expansion states are the control group. The years 2012–13 are the pre-expansion period and 2015–16 are the post-expansion period for the purpose of estimating the DID parameters.ResultsThe difference-in-difference estimate show that likelihood of utilizing mammograms did not change significantly among low-income women after the implementation of Medicaid expansion (DID coefficient -0.0476 with t-statistics at -1.26), Pap test decreased (coefficient -0.0615, t-statistics -2.76), and Medicaid enrollment has increased significantly among low-income women living in expansion states (coefficient 0.0889 with t-value of 3.68).ConclusionExpansion of Medicaid was associated with increased Medicaid enrollment but did not yield near-term improvement in use of mammography and Pap tests among low-income women. Factors beyond health insurance coverage may be important in determining the likelihood of obtaining these screenings. Policy makers should try to identify other barriers to cancer screenings among low-income women in the USA.

This statistic shows a projection of the number of uninsured in the United States under the Affordable Care Act (ACA) from 2015 to 2025. By 2017, the number of uninsured nonelderly people is expected to drop to 30 million people under the current ACA law.

Abstract (en): In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a survey of the nonelderly population, to explore the value of cutting-edge, Internet-based survey methods to monitor the Affordable Care Act (ACA) before data from federal government surveys are available. Topics covered by the 16th round of the survey (third quarter 2018) include self-reported health status, health insurance coverage, access to and use of health care, out-of-pocket health care costs, health care affordability, work experience, awareness of Medicaid work requirements, experiences with health care and social service providers, and health plan choice. Additional information collected by the survey includes age, gender, sexual orientation, marital status, education, race, Hispanic origin, United States citizenship, housing type, home ownership, internet access, income, employment status, and employer size. This study was conducted to provide information on health insurance coverage, access to and use of health care, health care affordability, and self-reported health status, as well as timely data on important implementation issues under the Affordable Care Act (ACA). The Health Reform Monitoring Survey (HRMS) provides data on health insurance coverage, access to and use of health care, health care affordability, and self-reported health status. Beginning in the second quarter of 2013, each round of the HRMS also contains topical questions focusing on timely ACA policy issues. In the first quarter of 2015, the HRMS shifted from a quarterly fielding schedule to a semiannual schedule. The variables include original survey questions, household demographic profile data, and constructed variables which can be used to link panel members who participated in multiple rounds. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Response Rates: The HRMS response rate is roughly five percent each round. Datasets:DS0: Study-Level FilesDS1: Public-Use DataDS2: Restricted-Use Data Household population aged 18-64 Smallest Geographic Unit: Census region For each HRMS round a stratified random sample of adults ages 18-64 is drawn from the KnowledgePanel, a probability-based, nationally represented Internet panel maintained by Ipsos. The approximately 55,000 adults in the panel include households with and without Internet access. Panel members are recruited from an address-based sample frame derived from the United States Postal Service Delivery Sequence File, which covers 97 percent of United States households. The HRMS sample includes a random sample of approximately 9,500 nonelderly adults per quarter, including oversamples of adults with family incomes at or below 138 percent of the federal poverty line. Additional funders have supported oversamples of adults from individual states or subgroups of interest. However, the data file only includes data for adults in the general national sample and the income oversample. web-based survey

In 2023, 25 million people in the United States had no health insurance. The share of Americans without health insurance saw a steady increase from 2015 to 2019 before starting to decline in 2020 to 2023. Factors like the implementation of Medicaid expansion in additional states and growth in private health insurance coverage led to the decline in uninsured population, despite the economic challenges due to the pandemic in 2020. Positive impact of Affordable Care Act In the U.S. there are public and private forms of health insurance, as well as social welfare programs such as Medicaid and programs just for veterans such as CHAMPVA. The Affordable Care Act (ACA) was enacted in 2010, which dramatically reduced the share of uninsured Americans, though there’s still room for improvement. In spite of its success in providing more Americans with health insurance, ACA has had an almost equal number of proponents and opponents since its introduction, though the share of Americans in favor of it has risen since mid-2017 to the majority. Persistent disparity among ethnic groups The share of uninsured people is higher in certain demographic groups. For instance, Hispanics continue to be the ethnic group with the highest rate of uninsured people, even after ACA. Meanwhile the share of uninsured White and Asian people is lower than the national average.

In 2018, some 8.6 million Americans were enrolled in an on-exchange (subsidized) individual health insurance plan, compared to 8 million in 2015. The individual health insurance market in the U.S. has grown after the enforcement of the Affordable Care Act (ACA) subsidies and prohibition of discrimination based on pre-existing conditions. However the increases in enrollment were offset by reductions, due to some individuals not receiving subsidies. In 2019, the ACA's individual mandate penalty was repealed, which can cause enrollment to drop further.

There are 5 categories of the Affordable Care Act marketplace insurance plans: Bronze, Silver, Gold, Platinum, and Catastrophic. Plans in these categories differ based on how you and the plan share the costs of your care. The categories have nothing to do with the amount or quality of care you get.

Abstract (en): In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a quarterly survey of the nonelderly population, to explore the value of cutting-edge, Internet-based survey methods to monitor the Affordable Care Act (ACA) before data from federal government surveys are available. Topics covered by the second round of the survey (second quarter 2013) include self-reported health status, type of and satisfaction with current health insurance coverage, access to and use of health care, health care affordability, whether the respondent considered purchasing or tried to purchase health insurance coverage directly from an insurance company, whether the respondent considered obtaining coverage through Medicaid or other government sponsored assistance plan based on income or disability, sources of information about health insurance, and the importance of various criteria in choosing a health insurance plan. Additional information collected by the survey includes age, education, race, Hispanic origin, gender, income, household size, housing type, marital status, employment status, number of employees at place of work, United States citizenship, smoking, internet access, home ownership, body mass index, sexual orientation, and whether the respondent reported an ambulatory care sensitive condition or a mental or behavioral condition. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Response Rates: The HRMS response rate is roughly five percent each quarter. Datasets:DS0: Study-Level FilesDS1: Public-use DataDS2: Restricted-use Data Household population aged 18-64. Each quarterly HRMS sample is drawn from the KnowledgePanel, a probability-based, nationally representative Internet panel maintained by GfK Custom Research. Beginning with the second quarter of 2013, the HRMS includes oversamples of adults with family incomes at or below 138 percent of the federal poverty level and adults from selected state groups based on (1) the potential for gains in insurance coverage in the state under the ACA as estimated by the Urban Institute's microsimulation model and (2) states of specific interest to the HRMS funders. Additional funders have supported oversamples of adults from individual states or subgroups of interest (including children). However, ICPSR received data only for the adults in the general national sample and the income and state group oversamples. 2019-07-10 Variable Q7_F was removed from public dataset. An updated codebook excluding this variable was provided for public use. Current release will feature DS1 as public-use data only and DS2 as restricted-use data. Previous release included both public and restricted versions of DS1. Study title updated to include geographic information.2017-06-20 The principal investigators added a new weight variable to the data file and the technical documentation was updated accordingly.2015-03-23 The principal investigators deleted the multiple imputation variables _1_famsize, _2_famsize, _3_famsize, _4_famsize and _5_famsize. ICPSR revised the codebook accordingly and added to the collection a plain text version of the data with a Stata setup and record layout file. Funding institution(s): Ford Foundation. Urban Institute. Robert Wood Johnson Foundation (71390). web-based survey

This study tests for adverse selection in the Affordable Care Act (ACA) health insurance exchanges established in 2014 and quantifies the welfare consequences. Using a new statewide dataset of medical claims from Colorado, I use plausibly exogenous premium variation generated by geographic discontinuities to test for selection. Specifically, each $1 increase in monthly premiums causes a $0.85–0.95 increase in annual medical expenditures of the insured population in 2014, with attenuated effects in 2015. These estimates are consistent with the prevalence of chronic conditions and difference-in-differences estimates. The results offer the first quasi-experimental evidence of adverse selection in the ACA markets.

Demographic and economic factors are the driving forces behind the rising number of medical claims submitted annually. The population's expanding medical needs are increasing the cost and complexity of claims while rising incomes and broader insurance coverage facilitate more visits to healthcare providers. Medical claims processing companies had to adapt quickly to the changes brought on by the pandemic. Swift regulatory changes created challenges for claims processing. Yet, other pandemic effects, like labor shortages, have benefited companies as healthcare providers outsource to alleviate burdens on their workforce. However, recession concerns and inflation pressures will restrict healthcare expenditure growth in 2024, limiting the volume of claims. In all, industry-wide revenue has been growing at a CAGR of 3.0% to $5.4 billion over the past five years, including an expected jump of 1.0% in 2024 alone. Consolidation characterizing the health sector is challenging medical claims processing companies in an already competitive industry. Health systems are becoming larger to gain negotiating power and economies of scale. But, larger health systems can keep the claims process in-house, reducing the reliance on medical claims processing services. As consolidation continues, small medical claims processors will likely struggle to acquire new customers. Other companies will look to integrate artificial intelligence and digital tools to offer clients data protection, improved accuracy and speed. Demographic trends will continue to be the driving force behind the growing volume of medical claims moving forward. But threats will introduce risks to medical claims processors. Rising costs could push some healthcare providers to turn to offshore medical claims processing, where lower labor costs reduce the price. At the same time, an increasingly digital process will expose companies to more risks from data breaches and cyberattacks than ever before. How well claims processing companies navigate these risks will influence profit. Still, rising healthcare expenditure will translate into more medical claims, leading revenue to expand at a CAGR of 3.7% to an estimated $6.4 billion over the five years to 2029.

The National Association of County and City Health Officials' (NACCHO) Forces of Change Survey is an evolution of NACCHO's Job Losses and Program Cuts Surveys (also known as the Economic Surveillance Surveys) which measured the impact of the economic recession on local health departments' budgets, staff, and programs. The Forces of Change Survey continues to measure changes in Local Health Department (LHD) budgets, staff, and programs and assess more broadly the impact of forces affecting change in LHDs, such as health reform and accreditation. More specifically, the survey collected information about LHD staffing levels, workforce reductions, and changes in budget sizes; provided services or functions; changes in the level of service delivery; billing for clinical services; efforts to help people enroll in health insurance from exchanges under the Affordable Care Act; awareness of and involvement in the State Innovation Models Initiative; participation in the Public Health Accreditation Board's national accreditation program for LHDs; and whether LHDs were part of a combined health and human services agency. The collection is comprised of the restricted-use version (Restricted-Use Level 2) of the Forces of Change 2015 dataset, which includes 103 variables for 690 cases and demographic variables related to the size of population served and LHD budgets.

Why do state legislators vote the way they do? Which influence is predominant: ideology, party, or public opinion? The implementation votes surrounding the Affordable Care Act (ACA) provides a unique setting to examine this question, as they make all three considerations highly salient. State roll call votes on ACA implementation were sometimes polarized and sometimes unexpectedly bipartisan. What accounts for the heterogeneity in individual legislator behavior on bills implementing the ACA at the state level? Using new data on legislator ideology and votes from 2011-2015, I show evidence that legislator ideology was by far the most important predictor of voting on implementation votes, far more so than legislator party or public opinion. Moreover, I show the influence of ideology is heterogenous by issue area and bill.

As of 2024, roughly 45 million individuals in the U.S. benefited from the Affordable Care Act and were enrolled in some form of ACA-related health insurance. This figure has increased from 12.6 million in 2014, the year ACA took effect. Since then, there has been an increase in the number of people who have become eligible for free or subsidized health care. Individuals can now enroll in ACA Marketplace and be eligible for premium tax credits, they may have become newly-eligible for Medicaid in states that have expanded Medicaid, or were previously eligible but didn't know or were unable to apply. Moreover, some states have introduced the Basic Health Program to provide continuous coverage for low-income individuals whose income fluctuates above and below Medicaid eligibility. This statistic portrays the number of Affordable Care Act-related (ACA) enrollments in the Marketplace, Medicaid, and the Basic Health Program (BHP) in the U.S. from 2014 to 2024.

The percentage of Americans covered by the Medicaid public health insurance plan increased from **** percent in 2020 to around **** percent in 2023. However, the percentage of those insured through Medicaid remains lower than the peak of **** percent in 2015. The expansion of Medicaid The Affordable Care Act (ACA) provided the option for states to expand Medicaid eligibility to people whose income was below a particular threshold. The ACA’s major coverage expansion came into force in 2014, and the number of individuals estimated to be enrolled in Medicaid has since surpassed ** million. More than ** million children were enrolled in the program in 2018, representing ** percent of overall Medicaid enrollment. State Medicaid coverage Initially, the ACA mandated that all state Medicaid programs would have to be extended to provide medical coverage to nearly all low-income groups. However, the Supreme Court rejected that part of the act in 2012, leaving the door open for states to make their own decision on whether they expand their plans. As of September 2021, ** states plus the District of Columbia have adopted the Medicaid expansion.

In the U.S. many employers pay a portion of health care costs for employees. As of 2019, the total annual medical costs for employees was just over 13 thousand U.S. dollars. That cost is expected to increase to 13.7 thousand U.S. dollars by 2020. There have been recent changes to employer-offered health care through the Affordable Care Act that requires employers with over 50 employees to offer affordable health care options to their employees.

U.S. health benefits at work

In the United States, both employers and employees may pay health care costs, depending on the work. In a recent survey U.S. residents were asked what benefits they expected from their employers, a vast majority of them said that they expect health care benefits. Despite the demand from employer-sponsored healthcare coverage, not all companies feel that they would be able to offer health coverage as an employment benefit. Another recent survey has illustrated that employer confidence in offering health insurance can change dramatically from year-to-year.

U.S. sick leave benefits

Another aspect of workplace health and wellness, is annual sick leave. In general, a majority of U.S. workers have access to a fixed number of paid sick days per year. However, a very small proportion of employees had access to paid sick leave as needed. As of 2017, around half of all employees utilized up to 5 days of sick leave per year. Despite that, there was still a large proportion, especially among those aged 18-30 years that went to work even though they were ill.