The First-Ever Government Negotiation Process for Drugs Has Finished, But the Politics Are Ongoing

Published: Aug 19, 2024

Authored by KFF’s Tricia Neuman, Juliette Cubanski and Larry Levitt, this post for Health Affairs Forefront examines how the results of the first-ever Medicare drug price negotiations will generate savings for the government and for Medicare beneficiaries, and how candidates’ views on the issue could play a role in the upcoming elections and in shaping the future of government negotiation of drug prices.

Section 1115 Waiver Watch: Medicaid Pre-Release Services for People Who Are Incarcerated

Published: Aug 19, 2024

Note: For the latest information on states with approved pre-release waivers, view our  Section 1115 tracker “Key Themes Maps.In April 2023, the Centers for Medicare and Medicaid Services (CMS) released guidance encouraging states to apply for a new Section 1115 demonstration opportunity to test transition-related strategies to support community reentry for people who are incarcerated. This demonstration allows states a partial waiver of the “inmate exclusion policy,” which prohibits Medicaid from paying for services provided during incarceration (except for inpatient services). Justice-involved people are disproportionately low-income and often have complex and/or chronic conditions, including behavioral health needs (mental health conditions and/or substance use disorder (SUD)). Reentry services aim to improve care transitions and increase continuity of health coverage, reduce disruptions in care, improve health outcomes, and reduce recidivism rates.

As of August 19, 2024, CMS has approved Section 1115 reentry waiver requests from 11 states, while 13 additional reentry waivers remain pending. In July 2024, CMS announced it had developed a standard demonstration application and special terms and conditions to expedite the review and approval of reentry waiver requests (approving 7 reentry waivers in July). States with governors across political parties have pursued these waivers. California will be the first state to implement its reentry demonstration in October 2024 (after gaining approval in January 2023); California’s experience may inform other states’ implementation efforts. This Waiver Watch reviews CMS guidance and summarizes key features of the eleven approved 1115 reentry waivers.

What are the demographics and health needs of people who are incarcerated?

About 1.2 million people were incarcerated in federal and state prisons as of the end of 2022 and 660,000 people were held in local jails as of mid-year 2022. However, millions more interact with the correctional system each year (Appendix Table 1). The vast majority of people who are incarcerated in prisons and jails are male and over half of all people who are incarcerated are people of color (Appendix Figure 1). Hispanic and Black people are disproportionately represented among the carceral population (i.e., compared to their representation in the general population). Black people are incarcerated in prisons at nearly five times the rate of White people, and in jails more than three times the rate of White people. Racial disparities in incarceration further exacerbate health disparities.

Individuals who are incarcerated have higher rates of mental illness, substance use disorder, and chronic and physical health care needs than the general population and are particularly vulnerable upon release. These individuals have higher rates of chronic diseases such as hypertension, tuberculosis, hepatitis, and HIV/AIDS than the general population and also have significant behavioral health needs. An estimated 65% of people incarcerated in prisons (across the U.S.) have an active substance use disorder. Despite the high rates of physical and behavioral health needs among people who are incarcerated, access to health care services in prisons and jails is variable and may be limited. The U.S. Department of Justice issued guidance in 2022 indicating that preventing individuals who become incarcerated from continuing medication assisted treatment for opioid use disorder (prescribed before their detention) is a violation of the Americans with Disabilities Act (ADA). Upon release, people who were formerly incarcerated experience significant obstacles, including poverty, homelessness, stigma, legal barriers (e.g., to obtaining housing, employment etc.), and challenges accessing health care. When people leave incarceration, they are at greater risk of overdose death and suicide compared to the general population, as well as other adverse outcomes like increased risk for emergency department use, hospitalization, and recidivism.

What is the role of Medicaid for enrollees who are incarcerated?

The Affordable Care Act (ACA) Medicaid expansion provided new opportunities to connect enrollees leaving incarceration to coverage and services. The ACA expanded Medicaid eligibility to nearly all adults with incomes at or below 138% FPL ($20,783 for an individual in 2024) in the 41 states that have adopted the expansion. Previously, many adults who were incarcerated did not qualify for Medicaid due to restrictions that excluded low-income adults without dependent children from the program.

The “inmate exclusion” policy limits Medicaid coverage available to people who are incarcerated, but states have used various strategies to help maintain eligibility and coordinate care for people transitioning from incarceration. Current rules allow people to be enrolled in Medicaid while incarcerated, but the Medicaid “inmate exclusion” policy limits Medicaid reimbursement for incarcerated individuals to inpatient care provided at facilities that meet certain requirements. Most states facilitate access to Medicaid coverage by suspending rather than terminating coverage for enrollees who become incarcerated. Suspending eligibility expedites access to federal Medicaid funds if people receive inpatient care while incarcerated and allows coverage to be active immediately upon release, which facilitates access to health care services in the community. States have also adopted other strategies to coordinate care pre-release, including developing managed care requirements and fee-for-service initiatives.

Justice-Involved Youth

While the number of youth in juvenile detention and correctional facilities has fallen since 2000, 25,014 youth (under age 21) were in juvenile residential facilities in 2020. 2,250 juveniles (under 18) were incarcerated in adult prisons and jails in 2021. Justice-involved youth report high rates of adverse childhood experiences that research demonstrates is linked to poor health outcomes, including heart disease, substance use disorders, sexually transmitted diseases, and premature death among adults. Approximately two-thirds of justice-involved youth have diagnosable mental health or substance use disorders. As many as 50% of youth referred to the juvenile justice system are also involved with the child welfare system.

Current Requirements: The SUPPORT Act prohibits states from terminating Medicaid eligibility for individuals under age 21 or former foster care youth under age 26 while incarcerated. The Consolidated Appropriations Act (CAA) of 2023 extended this requirement to CHIP as well.

New Requirements: The 2023 CAA required states to implement 12-month continuous eligibility for children in Medicaid and CHIP as of January 1, 2024; CMS guidance on implementing this requirement includes considerations for specific populations, including children who become incarcerated. Starting January 1, 2025, the 2023 CAA requires Medicaid and CHIP to cover medically necessary screenings (including medical, dental, and behavioral health), diagnostic services, and case management for all eligible youth (under age 21 and former foster care youth under age 26) in public institutions (including state prisons, local jails, tribal jails and prisons, and all juvenile detention and youth correctional facilities) 30 days prior to release. States must continue to provide case management services for at least 30 days post-release. Some states are using 1115 waivers to provide pre-release services to incarcerated youth beyond minimum CAA requirements. The 2023 CAA also gives states an option to provide Medicaid or CHIP services (full benefits) to all youth (under age 21 and former foster care youth under age 26) in public institutions pending disposition of charges (i.e., awaiting the outcome of charges).

What are 1115 waiver options to provide Medicaid coverage for individuals pre-release from carceral settings?

The 2018 SUPPORT Act directed CMS to issue guidance on how waivers can improve care transitions for people who are incarcerated but otherwise eligible for Medicaid. The SUPPORT Act required the Secretary of Health and Human Services (HHS) to convene a group of stakeholders to help inform the design of a demonstration opportunity to improve care transitions for people leaving incarceration. Findings from that convening were summarized in a report from the Office of the Assistant Secretary for Planning and Evaluation (ASPE) and referenced in the waiver guidance issued by CMS. The report identifies promising practices to connect people to health care who are reentering the community after incarceration and summarizes the research evidence. Evidence suggests medication-assisted treatment (MAT) for opioid use disorder during incarceration and after release is associated with lower overdose and mortality rates and in-reach by peer navigators is associated with greater engagement in care following release. Other research suggests that Medicaid coverage can reduce recidivism.

In April 2023, CMS released guidance on the new Medicaid Reentry Section 1115 demonstration opportunity. The guidance summarizes CMS goals as well as demonstration features and minimum requirements, including:

  • Carceral Settings. States participating in the demonstration may provide coverage for certain pre-release services to people incarcerated in state and/or local jails, prisons, and/or youth correctional facilities. States have discretion to identify the specific carceral settings eligible to participate and may set limitations on facility participation.
  • Medicaid Eligibility and Enrollment. States are expected to suspend (rather than terminate) Medicaid eligibility when an adult Medicaid enrollee becomes incarcerated. States that do not currently suspend eligibility will be expected to fully implement suspension policies within two years. States are expected to work with corrections partners to assist people who are incarcerated but not already enrolled in Medicaid to apply for Medicaid upon or during incarceration, but no later than 45 days before expected release. States may consider using “presumptive eligibility” for individuals anticipated to have short incarceration stays.
  • Eligibility for Pre-Release Services. States have the flexibility to define target populations (e.g., those with specific health conditions) and establish eligibility criteria. CMS encourages states to propose broadly defined populations of people soon-to-be released from incarceration who are otherwise Medicaid eligible.
  • Minimum Benefits. CMS expects state proposals will include benefits “sufficiently robust” to be likely to improve care transitions, covering at least a minimum set of pre-release services:
    • Case management to assess physical, behavioral health, and health-related social needs (HRSN) and assist people who are incarcerated in obtaining both pre- and post- release services (including setting up post-release appointments);
    • MAT for all types of substance use disorders, with accompanying counseling; and
    • A 30-day supply of all prescription medications at the time of release.

States may request to cover other services including, for example, family planning services, behavioral health or preventive services (including peer support), and/or Hepatitis C treatment.

  • Pre-Release Timeframe. States may offer coverage of pre-release services 30 to 90 days before the expected date of release.
  • Provider Requirements. States may choose to offer in-person or telehealth services. CMS indicates a preference for “in reach” by community-based providers. If states rely on carceral health care providers, they must comply with Medicaid participation policies set by the state.
  • Capacity Building Funds. CMS will consider state requests for time-limited federal matching funds for certain new expenditures (e.g., development of new business and operational practices and related IT, workforce development, and outreach and stakeholder convening) to support the implementation of reentry demonstration waivers.
  • Reinvestment Requirements. States must agree to reinvest federal matching funds received for carceral health care services currently funded with state/local dollars into activities that increase access or improve the quality of health care services for people who are incarcerated or were recently released or for health-related social services that may help divert people released from incarceration from criminal justice involvement.

What is the current landscape of pre-release waivers?

As of August 2024, eleven states have approval to provide pre-release services to certain incarcerated, Medicaid eligible individuals (Figure 1). CMS has developed a standard demonstration application and special terms and conditions (STCs) to expedite the approval of pre-release waiver requests (approving 7 waivers in July 2024). Features of the approved demonstrations (i.e., eligible carceral settings, pre-release coverage period, eligibility criteria for pre-release services, and benefits) vary across states (Table 1). The number of people potentially affected by these initiatives will vary based on each state’s incarcerated population as well as other state specific factors/decisions (e.g., eligibility criteria for services, state/corrections efforts to identify and enroll Medicaid-eligible individuals). California, for example, estimated in its initial application that approximately 200,000 people each year will be eligible to receive pre-release services under the demonstration waiver, while Washington estimated 4,000 people will receive pre-release services each year (both states’ estimates assume about half of all individuals released from incarceration will be eligible for pre-release services). Section 1115 waivers must be “budget neutral” for the federal government (i.e., costs under a waiver must not exceed what federal costs would have been for a state without the waiver). In its approvals, CMS has established per member per month spending caps for reentry services and aggregate (annual) spending caps for reentry planning and implementation activities.

As of August 2024, thirteen additional states (including DC) have pre-release waivers pending review at CMS. These pending requests vary in scope by pre-release period, eligibility, and benefits. Many of these requests were submitted prior to the release of the April 2023 CMS guidance. States with pending requests may need to make changes to conform with the new guidance and requirements.

Section 1115 Waivers Requesting Waiver of Inmate Exclusion Policy
Approved Section 1115 Reentry Waivers

What to watch?

Reentry initiatives are often part of broader reforms included in state 1115 waivers. States may currently be pursuing other policies and initiatives aimed at supporting individuals following release from correctional settings. For example, a few states have or are seeking approval to implement 12-month continuous eligibility for certain adults, including individuals released from corrections facilities, to promote continuity of coverage. Additionally, CMS recently expanded tools available to states to address enrollee health-related social needs, including approving coverage (under 1115 authority) of rent/temporary housing and utilities for up to 6 months as well as other housing and nutrition supports. Target populations include individuals experiencing high-risk care transitions—including from corrections facilities and the child welfare system. The outcome of the 2024 presidential election may affect states’ ability to continue to pursue some of these initiatives, as Section 1115 waivers generally reflect administrative priorities.

Implementation of pre-release services will require forging new partnerships with and providing significant technical assistance to corrections agencies, health care providers, and community-based organizations. CMS recognizes the operational complexities involved with providing services to an incarcerated population. States must submit reentry implementation plans to CMS for approval. Approved reentry waivers include authority to spend federal Medicaid funds on activities that support implementation, including planning activities, staff recruitment and training, and IT infrastructure. State Medicaid agencies will need to work closely with corrections agencies including to ensure access to demonstration-covered services, to facilitate access into carceral facilities for community-based health care providers and case managers, and to ensure systems are in place to share data and information. In April 2024, the Health Resources and Services Administration (HRSA) announced new funding for community health centers to support transitions in care for people leaving incarceration along with draft policy guidance. Community health centers provide comprehensive primary and behavioral health care services to individuals in medically underserved communities and may play an important role in post-release care delivery.

Section 1115 demonstration waivers are subject to regular reporting, monitoring, and evaluation requirements. As a condition of approval, states must submit a monitoring protocol, quarterly and annual reports, a mid-point assessment report, an evaluation design, and interim/summative evaluation reports. Information and analyses from independent evaluations will help answer questions about the impact of these initiatives on continuity of coverage, management of serious behavioral health conditions, and health outcomes (e.g., post-release overdose deaths, suicide, and other adverse outcomes); however, these evaluations will not be available for a number of years. In the meantime, initial implementation plans and regular state monitoring reports may yield important operational details, implementation information (including challenges and mid-course corrections), as well as preliminary enrollment and pre-release service utilization data. California will be the first state to implement its reentry demonstration in October 2024 (after gaining approval in January 2023). California’s experience may inform other states’ implementation efforts.

Federal legislation may further impact Medicaid coverage and access for people who are incarcerated and state capacity to support community transition. The Consolidated Appropriations Act of 2024, signed into law in March 2024, requires states to suspend rather than terminate Medicaid coverage for all individuals who are incarcerated starting January 1, 2026 (this suspension requirement is already in place for youth). The legislation includes $113.5 million in appropriated funds to help states meet the new requirement. It also directs CMS to issue guidance (within 18 months) on strategies and best practices to address implementation and operational challenges to ensure access to and continuity of care for Medicaid and CHIP beneficiaries before, during, and after incarceration. These efforts could supplement ongoing state approaches and federal investments to expand access to substance use disorder treatment. Other legislation introduced at the federal level in 2023 (e.g., SUPPORT ACT reauthorization, the Reentry Act, and the Due Process Continuity of Care Act) would expand Medicaid coverage for people who are incarcerated if passed.

Appendix Tables

Overview of the Criminal Justice-Involved Population
People Who Are Incarcerated by Gender, Race and Ethnicity, 2022

The HIV/AIDS Epidemic in the United States: The Basics

Published: Aug 16, 2024

This fact sheet was updated on October 9, 2024 to reflect new data sources.

Key Facts

Box 1: Snapshot of the U.S. Epidemic Today

  • Number of estimated new HIV infections: 31,800
  • Number of estimated people living with HIV: 1.2 million
  • Estimated percent of people with HIV who don’t know it: 13%
  • Estimated percent of people with HIV virally suppressed: 57%
  • The first cases of what would later become known as AIDS were reported in the United States (U.S.) in June of 1981. Today, there are more than 1.2 million people estimated to be living with HIV in the U.S. and there are an estimated 31,800 new infections (cases among people who are both diagnosed and undiagnosed) in 2022. While care and treatment can make HIV a manageable chronic condition, about 8,000 people die with HIV-related illness as a contributing cause of death each year.
  • HIV continues to have a disproportionate impact on certain populations, particularly people of color, gay and bisexual men and other men who have sex with men, and transgender women.
  • HIV testing is important for both treatment and prevention efforts. While knowledge of HIV status is growing, in 2022, an estimated 13% of those with HIV were unaware they were HIV-positive.
  • Antiretroviral therapy (ART) has substantially reduced HIV-related morbidity and mortality, improved long-term outcomes for people with HIV, and plays a key role in HIV prevention. Treatment guidelines recommend initiating treatment as soon as one is diagnosed with HIV. When an individual with HIV is on antiretroviral therapy and the level of HIV in their body is undetectable, there is no risk of transmission through sex. Still, many people with HIV are not in care, on treatment, or virally suppressed.
  • Pre-exposure prophylaxis (PrEP) offers important prevention opportunities, but uptake has but the majority of those who could benefit from the medication have not been prescribed it and racial/ethnic disparities persist.
  • Numerous federal and local government departments and agencies are involved in the domestic HIV/AIDS response, which together provide disease surveillance, prevention, care, support services, and health insurance coverage. Additionally, the private sector and community-based organizations provide services for people with and at increased risk for HIV.

Box 2: Key Terms

  • HIV Incidence – the estimated number of new HIV infections that occur across a particular period, including among people who are both diagnosed and undiagnosed HIV (in this fact sheet, referred to as “new infections”).
  • HIV diagnoses – the number of people who have been diagnosed with HIV in a particular period, regardless of when HIV transmission occurred.
  • HIV prevalence – the estimated number of people living with HIV over a particular period. (In this fact sheet, prevalence estimates include people with both diagnoses and undiagnosed HIV.)
  • Viral suppression – Viral suppression refers to having less than 200 copies of HIV per milliliter of blood, typically achieved by consistently taking antiretroviral treatment. It means that the level of HIV virus in the body is very low and sometimes even undetectable. Viral suppression affords individuals with HIV optimal health outcomes and also prevents transmission to others, sometimes referred to as “treatment as prevention.” National numbers presented in this factsheet are estimates.
  • Receipt of medical care – Receipt of medical care is a measure of HIV care engagement and refers to having at least 1 viral load or CD4 test during the year. Engaging in HIV care can lead to improved outcomes and access to HIV treatment. National numbers presented in this factsheet are estimates.

Overview

  • More people are living with HIV in the U.S. than ever before, largely due to successful HIV treatment which extends the lifespan, but also because new HIV infections continue to occur.
  • Current U.S. HIV treatment guidelines recommend initiating ART as soon as one is diagnosed with HIV, and new research has underscored the importance of starting treatment early. Engaging in treatment early and consistently affords individuals with HIV optimal care outcomes including improved health, quality of life, and life expectancy, as well as offering preventative benefits. When an individual with HIV is consistently engaged with antiretroviral therapy and the level of HIV in their body is undetectable, there is effectively no risk of sexual transmission.
  • However, looking at estimates across the continuum from HIV diagnosis to viral suppression reveals missed opportunities for addressing the epidemic. According to the Centers for Disease Control and Prevention (CDC), while many people with HIV are diagnosed (87%), far fewer receive medical care (66%), and fewer still are virally suppressed (57%), though each of these estimates has increased over time. Viral suppression is greater among those who are in medical care but many face systemic social barriers that can make care engagement challenging.
  • Yet, there have been some promising trends, as the number of new HIV infections (among those diagnosed and undiagnosed) declined by an estimated 76% between 1984 and 2022 and by 19% more recently (between 2010 and 2022). Still, an estimated 31,800 new infections occurred in the U.S. in 2022, and declines were not seen among all populations.
  • Initially, HIV-related mortality rates (deaths with HIV noted as the underlying cause of death), rose steadily through the 1980s and peaked in 1995, but have dropped by 9-fold since then, and by over half since 2010. This is largely due to ART, but also to decreasing HIV incidence. Still, in 2022, nearly 5,000 people died with HIV as the underlying cause of death and about 8,000 died with HIV as a contributing cause of death.
  • In 2022, most newly diagnosed cases of HIV occurred among gay and bisexual men and other men who have sex with men (67%). An additional 4% occurred among gay and bisexual men with a history of injection drug use. Diagnoses attributable to injection drug use alone have declined significantly over time and accounted for 7% of diagnoses in 2022. Transmission through heterosexual sex accounted for 22% of HIV diagnoses.
  • HIV testing is important for both treatment and prevention efforts and rapid testing is now more widely available. While knowledge of HIV status is growing, in 2022, 13% of those with HIV were estimated to be unaware they are HIV-positive. Knowledge of HIV status is important because individuals with HIV can engage in care and treatment to achieve optimal health outcomes and can take steps to prevent transmission. Testing also offers an opportunity for those who are HIV negative to engage in prevention opportunities. Routine HIV testing is recommended for all people ages 13-64, and most forms of health insurance cover HIV testing, usually without cost-sharing.
  • PrEP is a safe and highly effective preventive medication that reduces the risk of acquiring HIV through sex by 99% and injection drug use by 74% when taken as prescribed. While the number of persons prescribed and covered for PrEP by insurance has almost doubled between 2018 (221,026) and 2022 (437,425), the CDC estimates that approximately 64% of the more than 1.2 million Americans who could benefit from PrEP are not yet accessing it, and significant racial/ethnic disparities persist.
  • Post-exposure prophylaxis (PEP), medication used after a high-risk event to prevent HIV seroconversion, also offers a prevention opportunity, including reducing risk by more than 80% if started within 72 hours of possible HIV exposure.

Impact Across the Country

  • Annual HIV diagnoses have declined by 12% between 2010 and 2022. Factors such as updated treatment guidelines, increased knowledge of status, and the availability of PrEP have contributed to these decreases. However, this decline has not occurred evenly across all populations (described below).
HIV Diagnoses in the United States
  • Although HIV has been reported in all 50 states, the District of Columbia, and U.S. territories, the impact of the epidemic is not uniformly distributed. The top ten states in terms of number of HIV diagnoses are home to 55% of the U.S. population and accounted for about two-thirds (67%) of diagnoses among adults and adolescents in 2022 (Table 1). Regionally, the South saw a disproportionate burden and accounted for over half of HIV diagnoses in 2022.
  • Rates of HIV diagnoses among adults and adolescents per 100,000 provide a different measure of the epidemic’s impact, since they reflect the concentration of diagnoses after accounting for differences in population size across states/regions. Among states, the District of Columbia (D.C) has the highest ratein the nation (36.6), nearly 3 times the national rate (13.3), followed by Georgia which has a rate (27.4) twice that of the national rate. Eight of the top 10 states by rate are in the South.
  • HIV diagnoses are concentrated primarily in large U.S. metropolitan areas (80% in 2022), with rates highest in Miami/Fort Lauderdale, Memphis, and Atlanta.
Top Ten States by Number of New HIV Diagnoses (Adults and Adolescents), 2022

Impact on Communities of Color

  • People of color have been disproportionately affected by HIV/AIDS since the beginning of the epidemic, and represent the majority of new HIV diagnoses, people living with HIV disease, and deaths among people with HIV.
  • Black and Latino people account for a disproportionate share of new HIV diagnoses, relative to their size in the U.S. population. Black people account for more people living with HIV than any other racial or ethnic group – in 2022, an estimated 40% of people living with HIV in the U.S. are Black despite Black people accounting for just 12% of the U.S. population. About a quarter of people living with HIV are Hispanic/Latino (26%) but Hispanic/Latino people make up 19% of the U.S. population (see Figure 2).
  • In 2022, Black adults and adolescents also had the highest rate of new HIV diagnoses (41.6 per 100,000), followed by Latino people (23.4). Whereas rates of HIV diagnoses were lower among White (5.3) and Asian (4.6) people.
  • Looking at recent trends, from 2010 to 2022, only Hispanic/Latino and Asian people experienced an increase in HIV diagnoses (24% and 26% increases, respectively), while all other groups of people by race/ethnicity, sexes, and transmission categories saw decreases in HIV diagnoses. (See Figure 1.)
  • In 2022, Black people accounted for more than four in ten (43%) deaths among people with diagnosed HIV. Survival after an AIDS diagnosis is lower for Black people than for other racial/ethnic groups, and Black people have had the highest age-adjusted death rate due to HIV disease throughout most of the epidemic. HIV ranks higher as a cause of death for Black and Latino people, compared with White people.
Black and Hispanic People Have Been Disproportionately Impacted by HI

Impact on Women

  • In 2022, 22% of all people living with HIV (268,800) were estimated to be women.
  • From 2010 to 2022, HIV diagnoses among women decreased by 25%, while they decreased by 8% among men. In more recent years, the rate of decrease in HIV diagnoses has slowed for both groups. (See Figure 1.)
  • Women of color are particularly affected by the HIV/AIDS epidemic. In 2022, Black women accounted for half (50%) of new HIV diagnoses among women while shares of diagnoses were lower in White (24%), Latina (20%), and Asian (1%) women.

Impact on Young People

  • Teens and young adults continue to be at higher risk for HIV than other age groups, with those under 35 accounting for 56% of HIV diagnoses in 2022 (those ages 13-24 accounted for 19% and those ages 25-34 accounted for 37%). Most young people acquire HIV sexually.
  • Among young people, gay and bisexual men and people of color have been particularly affected.
  • Perinatal HIV transmission, from an HIV-positive parent to their baby, has declined significantly in the U.S., largely due to increased testing efforts among pregnant people and ART which can prevent mother-to-child transmission. However, the rate for perinatally acquired HIV is 5 times higher among births for Black people (5.5) than the national rate (1.1).

Impact on Gay and Bisexual Men

(Data in this section are based on individuals who acquired HIV through male-to-male sexual contact or male-to-male sexual contact and injection drug use.)

  • Male-to-male sexual contact accounts for most HIV diagnoses (71% in 2022) and men who have sex with men account for most people living with HIV (63% in 2022). (See Figure 1.)
  • Among gay and bisexual men, Hispanic/Latino men accounted for the largest number of diagnoses (9,507) in 2022, followed by Black men (9,092). Young Black gay and bisexual men (ages 13-24) accounted for 49% of diagnoses among all men ages 13-24.
  • Overall, from 2010 to 2022, HIV diagnoses among gay and bisexual men decreased by 4%. However, more recently (between 2018 and 2022), HIV diagnoses increased by 21% among Latino gay and bisexual men.

The U.S. Government Response

  • In FY 2022, U.S. federal funding to combat HIV in the U.S. was estimated to be $35.8 billion. Most funding was for care and treatment ($28.7 billion) through the Medicaid and Medicare programs. Cash and housing assistance totaled $3.3 billion, followed by research ($2.7 billion) and prevention ($1.1 billion).
  • Numerous federal departments and agencies are involved in the domestic HIV/AIDS response and key government programs that provide health insurance coverage, care, and support to people with HIV in the U.S. include Medicaid, Medicare, the Ryan White HIV/AIDS Program, and the Housing Opportunities for Persons with HIV/AIDS Program (HOPWA). Social Security’s income programs for people with disabilities (SSI and SSDI) are important sources of support. The Centers for Disease Control and Prevention (CDC) leads U.S. surveillance and prevention activities, which are carried out in conjunction with state and local health departments. In addition to government efforts, a wide range of community and other organizations provide services for people with HIV and those at increased risk for HIV.
  • The U.S. has had a National HIV/AIDS Strategy (NHAS) since 2010 when it was first adopted under President Obama. The NHAS sets out and tracks national goals related to the domestic epidemic and has evolved over time to account for changing policy environments and to align with the science.
  • In 2019, the Trump Administration launched the “Ending the HIV Epidemic Initiative” (EHE), a federal effort to reduce new HIV infections in the United States. The initiative, which is part of NHAS, was built on efforts made by the Obama Administration and continues under the Biden Administration and targets the regions hardest hit by the HIV epidemic. It has also been accompanied by an infusion of federal funding, marking the first significant increases for HIV programs in many years. In FY24 EHE funding totaled $573.25 million.

A Look at Variation in Medicaid Spending Per Enrollee by Group and Across States

Published: Aug 16, 2024

Medicaid is the primary program providing comprehensive health and long-term care coverage to approximately one in five low-income Americans. States administer Medicaid programs within broad federal rules, but have flexibility in designing programs, which creates variation in spending and enrollment as well as spending per enrollee across eligibility groups and states. Understanding variation in Medicaid spending per enrollee can help inform the implications of various policy proposals – such as expanding coverage for Medicaid enrollees or closing the coverage gap, as favored by the Biden-Harris Administration, or restructuring Medicaid financing into a block grant or a per capita cap as well as limiting Medicaid eligibility and benefits, policies that have in the past been favored by former President Trump.

This data note provides an overview of total Medicaid (state and federal shares) spending per enrollee for full-benefit Medicaid enrollees by eligibility group and state in 2021. Data from 2021 is the most current final version of Medicaid data at the time of this analysis. Full-benefit Medicaid enrollees are those that qualify for a full range of Medicaid services such as doctor’s visits, hospitalizations, prescription drugs, and home health services. A small number of total enrollees (9% of all enrollees in 2021) qualify for only a limited set of Medicaid benefits such as family planning or treatment of an emergency medical condition and are not included in this analysis. References to Medicaid enrollees in this data note refer to full-benefit enrollees. See methods for more details. Detailed state-level data are also available on State Health Facts.

National Medicaid spending per enrollee was $7,593 in 2021, though that varied widely by eligibility group (Figure 1). Overall, children account for 37% of full-benefit enrollment, but 15% of the spending, while seniors and individuals with disabilities account for 21% of enrollment but 52% of the spending (data not shown.) The disproportionate spending on certain eligibility groups stems from variation in spending per enrollee across the eligibility groups. Spending per enrollee was highest for seniors, those ages 65 and older ($18,923), and individuals with disabilities ($18,437) (Figure 1). Those groups had per-enrollee spending approximately six times higher than child enrollees ($3,023), which had the lowest spending of any eligibility group (Figure 1). Differences in spending per enrollee reflect differences in health care needs and utilization. For example, seniors and those eligible on the basis of disability tend to have higher rates of chronic conditions, more complex health care needs and are more likely to utilize long-term services and supports (LTSS) than other enrollees. Most seniors and some individuals with disabilities enrolled in Medicaid are also dually eligible for Medicare. For dual-eligible individuals, Medicare is the primary payer for acute care services while Medicaid pays for services that Medicare does not, including vision, dental, and most LTSS. Medicaid spending per enrollee accounts for less than half of all spending for full-benefit dual-eligible individuals that are 65 and older.

National Medicaid Spending Per Enrollee Was $7,593, Though That Varied Widely by Eligibility Group

Flexibility for states to determine eligibility levels, benefits, and provider payments in the Medicaid program leads to wide variation in per-enrollee spending across states (Figure 2). Other factors contributing to variation in per-enrollee spending include variation in state populations and demographics, ability and effort to raise revenue, and variation in health care costs and markets. Across states, Medicaid spending per enrollee ranged from $3,750 to $12,425, with a median spending of $7,784 (Figure 2). Tennessee, Florida, Oklahoma, and Nevada reported some of the lowest spending per enrollee, while Washington, D.C., Virginia, Massachusetts, and Minnesota reported the highest spending per enrollee. Approximately one-fifth of states had spending greater than $9,000 per enrollee (Figure 2).

Medicaid Spending Per Enrollee Ranged From Under $5,000 to Over $12,000

Within each eligibility group, there is also considerable variation in spending per enrollee across states (Figure 3). Individuals with disabilities had the widest variation across states for per-enrollee spending, ranging from $4,602 in Florida to $52,602 in Connecticut (Figure 3). States have considerable flexibility to decide the populations and services covered for LTSS, which drives large variation in per-enrollee spending for seniors and people with disabilities, who are more likely to use LTSS. In contrast, per-enrollee spending for children ranges from $1,958 in Tennessee to $6,012 in Kentucky (Figure 3). All states must provide comprehensive coverage for children through the Early Periodic Screening Diagnosis and Treatment (EPSDT), which contributes to somewhat less variation in per-enrollee spending for children.

Many—but not all—states that have relatively high or low overall per-enrollee spending tend to see those same patterns across eligibility groups in the state (Figure 3). Some states with the lowest overall per-enrollee spending (e.g. Tennessee, Oklahoma) fall among the states with the lowest per-enrollee spending for all eligibility groups (Figure 3). Others, such as Florida and Nevada are more mixed across eligibility groups. For example, Florida, has low per-enrollee spending across all eligibility groups except for children, where it has one of the highest per-enrollee spending. Similarly, some states with the highest overall per-enrollee spending (e.g. Washington, D.C., Virginia) fall among the states with the highest per-enrollee spending for all eligibility groups. However, states like Minnesota and Massachusetts are less consistently high across all eligibility groups (Figure 3).

Medicaid Spending Per Senior Enrollee Ranged From Under $10,000 to Over $30,000

Even within a given state and eligibility group, there is wide variation in spending (Table 1). For example, among individuals with disabilities in Virginia, 25% had spending less than $16,051 and 5% had spending more than $127,703 – eight times higher (Table 1). Additionally, 25% of seniors in Alabama had spending less than $2,061, and 25% had spending fourteen times greater ($28,761) (Table 1). Despite the generally lower costs for non-disabled adult and child enrollees, the variation in spending for these eligibility groups was wide in Washington, Colorado, and North Carolina as well.

Within a State and Eligibility Group There is Wide Variation in Spending Per Enrollee

Per-enrollee spending in states that expanded Medicaid was higher for all eligibility groups than in non-expansion states (Figure 4). Expansion states spent on average $8,116 per enrollee – over $2,000 more per enrollee when compared to non-expansion states, which spent $5,988 per enrollee (Figure 4). Some have argued that adopting Medicaid expansion diverts funding from non-expansion enrollees (e.g. children, individuals with disabilities) to enrollees eligible only after expanding Medicaid (i.e. ACA expansion adults). However, across all categories, average per-enrollee spending is higher in expansion states. For instance, expansion states have an average spending of $25,170 per enrollee eligible based on disability, while non-expansion states spend on average $10,494 per enrollee in the same eligibility group. Similarly, expansion states spend $19,783 per senior enrollee compared to $15,915 for non-expansion states (Figure 4). These differences in spending may reflect state policy choices about benefits and eligibility, in addition to payment rates, regional variation in health care costs, and state demographics.

Per-Enrollee Spending in States That Expanded Medicaid Was Higher for All Eligibility Groups Than in Non-Expansion States

Methodology

Data: The KFF State Health Facts on spending per full-benefit enrollee use the T-MSIS Research Identifiable Demographic-Eligibility and Claims Files (T-MSIS data). This data note is based on State Health Facts data from CY 2021.

Overview of methods: KFF defined full-benefit enrollees as those who participated in Medicaid for at least 1 month with full-benefits or those who received at least one month of benefits through an alternative package of benchmark equivalent coverage. They may have not actually used any services during this period, but they are reported as enrolled in the program and are eligible to receive services. References to dual-eligible enrollees do not include Medicare Savings Program (MSP) enrollees due to the restriction of data to full-benefit enrollees only.

Spending: Spending was calculated by summing the total spending of all claims per full-benefit enrollee in the T-MSIS claims files.

Key limitations: National per-enrollee spending numbers do not include West Virginia or Mississippi due to data quality concerns flagged by the DQ Atlas in 2021.

Disparities in Access to Air Conditioning And Implications for Heat-Related Health Risks

Published: Aug 16, 2024

Summary

June 2024 marked the 13th-consecutive month of record-breaking high temperatures. In early July 2024, the Eastern and Central regions of the U.S. experienced a record breaking heat wave, that exposed more than 200 million people to 90 degree Fahrenheit weather for more than seven days. As of mid-July, 37 people were suspected to have died from heat-related causes, however this is likely an undercount. As temperatures continue to rise and extreme heat events become more frequent in the U.S., people of color and other underserved communities are likely to be disproportionately affected due to increased exposure to heat and more limited access to air conditioning.

This brief examines disparities in access to air conditioning in the home by race and ethnicity and income and discusses the implications for heat-related health risks, including heat-related mortality. It is based on KFF analysis of data from the Residential Energy Consumption Survey, a nationally representative household survey. The survey asks respondents about how energy is utilized in their home, such as powering air conditioning units, while also collecting demographic and local weather information. Temperature in the respondent’s region is estimated from weighted temperatures of nearby weather stations.

Overall, this analysis shows that Asian-, Black-, and Hispanic-led households are more likely to report not having an air conditioning unit in their home compared to White households and keeping their homes at unsafe or unhealthy temperatures. Black- and Hispanic-led households are more likely than Asian- and White-led households to report being unable to use their air conditioning units due to financial challenges and to say they reduced or went without basic needs due to their home energy bills in the past year. Lower income households also are more likely than higher-income households to report these challenges.

More limited access to air conditioning contributes to disproportionate exposure to extreme heat and the development of heat-related illnesses, including death. As extreme heat worsens, strategies to increase access to residential air conditioning units and reduce exposure to extreme heat will be important for reducing the health risks associated with heat-related illnesses and mitigating disparities in these risks and negative health outcomes.

Access to and Use of Air Conditioning

People of color and those with lower household incomes are more likely to say they lack air conditioning than their White and higher income counterparts. In total, over 35 million people in the US report living in a household without an air conditioner, including almost 5 million people with a Black head of household, 6.2 million people with a Hispanic head of household, 3.6 million people with an Asian head of household, and 19.2 million people with a White head of household. One in five (21%) Asian-led households and about one in seven Black (15%) and Hispanic (14%) households do not have air conditioning equipment compared to one in ten (10%) White households. In addition, 17% of households with lower incomes (annual household income of less than $25,000) say they lack air conditioning compared to 8% of households with higher incomes (annual household income of $75,000 or more) (Figure 1). These disparities in access to air conditioning by race and ethnicity and by household income persist when limited to regions with above-average temperatures (see Appendix A), where 7% of households overall lack access.

Share of Households with No Access to Air Conditioning by Race and/or Ethnicity of the Head of Household and Income, 2020

Black and Hispanic households and those with lower incomes are more likely to report not using their air conditioners due to financial challenges compared to White and higher income households. Overall, 5% of households say they were unable to use air conditioning equipment in the past year because their equipment broke and they couldn’t afford to replace it, or their equipment was shut off because they were unable to pay their bills (Figure 2). This includes about one in ten Black (11%), Hispanic (9%), and lower income households (10%) compared to 4% of White households and 2% of higher income households. These disparities persist even in regions with above-average temperatures, where 7% of households say they were unable to use air conditioning equipment due to these reasons.

Share of Households Unable to Use Air Conditioning in the Past Year Due to Financial Challenges by Race and/or Ethnicity of Head of Household and Income, 2020

People of color and those with lower household incomes are more likely to say they keep their homes at temperatures they identified as unsafe or unhealthy than their White and higher income counterparts. Overall, one in ten households say they kept their homes at unhealthy temperatures at least once in the past year. This share was higher among Black (17%), Hispanic (17%), and Asian (12%) households compared to White households (7%) (Figure 3). One in five (21%) lower income households also say this compared to 4% of higher income households. These disparities persist even in regions with above-average temperatures.

Share of Households Experiencing Unhealthy Temperatures by Race and/or Ethnicity of the Head of Household and Income, 2020

Black, Hispanic, and lower income households also are more likely than White and higher income households to report reducing or foregoing basic needs due to their home energy bills in the past year (Figure 4). About four in ten Black (40%) and Hispanic (37%) households say they had to reduce or forego basic necessities such as medicine or food due to their energy bills in the past year compared to one in seven (14%) White households. Four in ten (40%) lower income households also report this compared to 6% of higher income households. These disparities persist even in regions with above-average temperatures, where almost a quarter (23%) of households say they had to reduce or forgo basic needs due to their energy bills.

Share of Households Reducing or Foregoing Basic Necessities Due to Energy Bills by Race and/or Ethnicity of the Head of Household and Income, 2020

Extreme heat is a serious threat to health and is the leading cause of weather-related deaths in the U.S. An analysis finds that 2023 set the record for the number of heat-related deaths in the U.S., with at least 2,300 death certificates citing the effects of excessive heat as a cause of death. Further, the Centers for Disease Control and Prevention reports that there were 119,605 emergency department visits for heat-related illness in 2023. In 2020, about 660,000 households reported that someone needed medical attention in the past year because their home was too hot.1 ,2 

While extreme heat has health implications for everyone in the U.S., some communities of color have higher risks of heat-related mortality than White people due to underlying inequities. Consistent with trends in earlier years, between 2018-2022, American Indian or Alaska Native people had the highest age-adjusted heat-related death rate, and Black people had a higher rate of heat-related deaths compared to White people. The rate for Hispanic people was more similar to that of White people, while Asian people had a lower age-adjusted rate of heat-related death (Table 1).[1] Data also show that noncitizens are more likely to die from heat exposure compared with U.S. citizens. These higher mortality risks reflect increased exposure to heat due to underlying inequities. Historical policies such as redlining have led to the residential segregation of communities of color who have a higher likelihood of living in a census tract with higher summer daytime surface urban heat island intensity compared to their White counterparts. Communities that live in these historically zoned areas are also more likely to have higher rates of asthma, cardiovascular illnesses, and other diseases that increase their risk of poor health outcomes associated with exposure to climate change-related extreme heat and air pollution. Low-income communities and communities of color also suffer from tree inequity, increasing the risk of exposure to extreme heat and subsequent heat-related illnesses.

Heat-Related Deaths and Age-Adjusted Mortality Rates (per 1,000,000) by Race and Ethnicity, 2018-2022

As temperatures continue to rise, U.S. power grids may be unable to support the surges in energy use due to increases in air conditioning usage during heat wave events. Power outages that are considered medically relevant—lasting more than 8 hours and outlasting the lifespan of most medically necessary devices— tend to most frequently happen during the spring and summer months. They also tend to occur during severe weather or climate events, and during times of high electricity usage. These power outages can leave people without air conditioning or heating for extended periods of time, potentially increasing the risk of adverse health outcomes. In November 2023, the Biden-Harris administration announced up to $3.9 billion to strengthen the country’s electric grid’s resilience and reliability against climate change and extreme weather events.

As extreme heat worsens, strategies to increase access to residential air conditioning units and reduce exposure to extreme heat will be important for reducing the health risks associated with heat-related illnesses and mitigating disparities in these risks and negative health outcomes. There have been efforts to increase access to air conditioning units, which have played an important role in reducing heat-related deaths. In 2023, the Biden-Harris administration released about $3.7 billion in Low Income Home Energy Assistance Program (LIHEAP) funding that helps families sustain safe and healthy indoor temperatures. LIHEAP funds can also help households pay for energy bills and help them stay cool during the summer through the LIHEAP Cooling Assistance Program. In June 2024, the U.S. Department of Housing and Urban Development (HUD) announced new guidance on the use of HUD funding to reduce the impacts of extreme heat on residents of public housing. The guidance seeks to reduce the energy costs associated with cooling their homes during heat waves by increasing utility allowances and forgoing surcharges for the use of air conditioning for residents. HUD and the U.S. Department of Agriculture also announced the adoption of minimum energy standards for new single-family and multi-family unit homes that will reduce energy use and maximize energy cost-savings for residents. Continued efforts to address rising temperatures, reduce risks of heat exposure, and increase protections for those most at-risk for heat exposure will be important for reducing negative health impacts due to extreme heat, particularly for groups who already face disparities in exposure to heat and health risks.

Methods

This analysis was conducted using data from the Residential Energy Consumption Survey, conducted by the U.S. Energy Information Administration. It is administered to a nationally representative sample of housing units. Both web and mail forms were utilized in survey implementation. 18,500 households were surveyed from a survey population of 123.5 million primary residences. The survey respondent was identified as head of the household, and all demographic questions were asked only of that respondent. For example, in the instance of a household with people of different races, the recorded race and ethnicity is only the race or ethnicity of the respondent, not any other member of the household. Analysis was conducted in R using the survey package. Survey design was implemented based on analysis by Anthony Damico. Above average temperatures are defined as places with cooling degree days greater than or equal to the median (1143). Cooling degree days (CDD) are calculated by taking the 30-year average temperature (between 1981 and 2010) from the nearest weather station to the respondent and inoculating it with random errors. This measurement is defined as a summation of the difference between 65 degrees Fahrenheit and a day with a mean temperature above 65 degrees Fahrenheit for every day during a given year. For example, if the mean temperature is 80 degrees, then that day would have a cooling degree day value of 15. This measure identifies places that have both consistently high temperatures, and those with days much hotter than 65 degrees. Another explanation is if a region has the same number of cooling degree days as the median (1143), this could be equivalent to that area’s average daily temperature being 77 degrees Fahrenheit (12 degrees above 65) every day during the summer months. Population totals were scaled to the United States population in 2020 from the Decennial Census. Individuals in group quarters were subtracted from this population to represent individuals in households.

Appendix A

A majority of states (35 states) have households that are in the top 50 percent of hottest places in the U.S. In 2023, the West, South Central, and South Atlantic regions of the United States were identified as places with at least one household with above average heat.3  Some of the hottest states that frequently experience a higher number of Cooling Degree Days (CDDs) than the national average also have high shares of people of color, including Hawaii, which experiences +145% CDDs above the national average and about eight in ten (81%) of its population are people of color, Florida, which experiences +141% CDDs above the national average and about half (49%) of its population are people of color, and Texas, which experiences +92% CDDs above the national average and about six in ten (61%) of its population are people of color. Similar trends are seen in states with the highest shares of people who live below the Federal Poverty Line (FPL), including Louisiana, which experiences +86% CDDs above the national average and Mississippi, which experiences +51% CDDs above the national average and about one in five (both at 19%) of the population live below the FPL (Appendix Figure 1).

States that Experience Above Average Heat are Also More Likely to Have Higher Shares of People of Color
  1. It is well documented that the measured number of deaths associated with extreme heat is likely an undercount. Deaths associated with heat-related illness or extreme heat may not be captured on death certificates, while heat may be a contributing factor to death the underlying cause may be listed as a cardiovascular or respiratory event or other underlying diagnosis. These values are likely underestimates of the number of deaths caused by exposure to extreme heat. ↩︎
  2. KFF analysis of 2020 Residential Energy Consumption Survey. ↩︎
  3. Ibid. ↩︎
Poll Finding

KFF Health Misinformation Tracking Poll: Artificial Intelligence and Health Information

Authors: Marley Presiado, Alex Montero, Lunna Lopes, and Liz Hamel
Published: Aug 15, 2024

Findings

Key Findings

  • The latest KFF Health Misinformation Tracking Poll finds that about two-thirds of adults say they have used or interacted with artificial intelligence (AI), though a smaller share – about one-third – say they do so at least a few times a week. Most adults (56%) are not confident that they can tell the difference between what is true and what is false when it comes to information from AI chatbots. Even among those who use or interact with AI, half say they are not confident in their ability to tell fact from fiction when it comes to information from chatbots.
  • About one in six adults (17%) say they use AI chatbots at least once a month to find health information and advice, rising to one quarter of adults under age 30 (25%).
  • Most adults – including a majority (56%) of those who use or interact with AI – are not confident that health information provided by AI chatbots is accurate. While about half of the public say they trust AI chatbots, such as ChatGPT, Microsoft CoPilot, or Google Gemini, to provide reliable information on practical tasks like cooking and home maintenance and on technology, fewer say they trust chatbots to provide reliable health (29%) or political information (19%). Even among those who use AI, small shares say they trust chatbots to provide reliable information about health (36%) or politics (24%).
  • For most of the public, the verdict is still out on whether AI is doing more to help or doing more to hurt people trying to find accurate health information online. About one in five adults (23%) say AI is doing more to hurt those seeking accurate health information while a similar share (21%) say it is doing more to help those efforts. However, a majority of the public (55%) – including half of those who use or interact with AI (49%) – say they are unsure of the impact of AI on health information seekers.

A Third of the Public, and Nearly Half of Younger Adults, Say They Use or Interact with AI At Least Several Times A Week

Amidst the growing use of artificial intelligence by both companies and individuals, most adults (64%) say they have used or interacted with AI, though just one in three (34%) say they do so at least several times a week, including one in ten (11%) who say they interact with or use AI several times a day. About one-third of the public (35%) say they never use or interact with AI. However, as AI features become increasingly integrated into internet search engines such as Google and social media platforms such as Facebook and Instagram, these shares may not capture adults who are unknowingly using or interacting with artificial intelligence on these platforms. Perhaps unsurprisingly, younger adults ages 18-29 (47%) and those with a college degree (39%) are more likely than their counterparts to say they use or interact with AI at least several times a week.

Most Adults Say They Use or Interact With AI, Including a Third Who Do So at Least Several Times a Week

Most Adults are Not Confident They Can Tell Whether Information from AI Chatbots Is True or False

Most U.S. adults are not confident that they can tell what is true versus what is false when it comes to information from AI chatbots, such as Chat-GPT and Microsoft Copilot. Fewer than half say they are either “very confident” (9%) or “somewhat confident” (33%) that they can tell the difference between true and false information from an AI chatbot, while a majority say they are either “not too confident” (35%) or “not at all confident” (22%). While adults who say they have used or interacted with AI are more likely than non-users to say they are at least somewhat confident in their ability to tell fact from fiction in information from AI chatbots (49% vs. 32%), even among users of this technology, half say they are not confident they can tell what is true from what is false.

Corresponding to their greater propensity to use AI platforms, younger adults are more likely than older adults to express confidence in their own ability to tell truth from fiction on these platforms. Notably, seven in ten adults ages 65 and over say they are not confident they can tell whether information is true or false on AI chatbots. This difference in confidence across age groups persists among AI users as well, with younger adults ages 18-49 who use or interact with AI reporting higher levels of self-confidence in their abilities to detect true and false information from AI chatbots than their counterparts ages 50 and older (54% vs. 41%).

Most Adults, Including Half of AI Users, Are Not Confident They Can Tell Whether Information From AI Chatbots Is True or False

One in Six Adults – and a Quarter of Young Adults – Say They Use AI Chatbots At Least Once a Month for Health Information and Advice

About one in six adults (17%) report that they use AI chatbots at least once a month to find health advice and information. Reflecting their greater use of AI overall, younger adults are more likely than older adults to say they use chatbots for health information, with a quarter (25%) of adults ages 18-29 saying they do this at least once a month.

One in Six Adults Say They Use AI Chatbots for Health Information and Advice at Least Once a Month

Most Adults – Including Most AI Users – Are Not Confident That Health Information Provided by AI Chatbots is Accurate

When it comes to health information, the public is not yet convinced that AI chatbots can provide accurate information. Just one in three adults say they are “very confident” (5%) or “somewhat confident (31%) that the health information and advice they may come across on AI chatbot platforms is accurate. About six in ten adults – including a majority (56%) of AI users – say they are “not too confident” or “not at all confident” in the accuracy of health information provided by AI chatbots. Adults under age 50 and Black and Hispanic adults are somewhat more likely than those over age 50 and White adults, respectively, to say they have confidence in the accuracy of health information from AI chatbots, though about half or more across age and racial and ethnic groups say they are not confident.

Most Adults and AI Users Are Not Confident in the Accuracy of Health Information from Chatbots

Though the public is skeptical of health information from AI chatbots, larger shares say they trust AI bots to provide reliable information about other topics, including technology and practical tasks like cooking or home maintenance. Just over half of adults say they have at least “a fair amount” of trust in AI chatbots to provide reliable information about practical tasks (54%), while nearly half trust them to provide reliable information about technology (48%). However, about three in ten adults trust AI bots to provide reliable health information (29%) and one in five trust them for information about politics (19%). Trust is higher among those who use AI, with at least six in ten AI users saying they trust chatbots to provide reliable information about practical tasks and technology. Still, small shares of AI users say they trust chatbots to provide reliable information about health (36%) or politics (24%).

Half of Adults Trust AI Chatbots to Provide Reliable Information About Practical Tasks, Technology; Fewer Trust Their Reliability for Health and Political Information

The Public Is Uncertain Whether AI Will Help or Hurt People Trying to Find Accurate Health Information

At this early stage in the development of consumer-facing, generative AI models, many are uncertain if these technologies are having a positive or negative impact on those seeking health information online. Over half (55%) of adults say they are not sure if AI is doing more to help or to hurt those who are trying to find accurate health information and advice online, while about one in five say they think it is doing more to help (21%) and a similar share say it is doing more to hurt (23%) these efforts. Younger adults under age 30 are divided on whether AI is doing more to help (31%) or hurt (30%) those trying to find health information and advice online, with 38% saying they are unsure; whereas majorities of adults over age 30 say they are unsure of the impact of AI when it comes to people trying to find accurate health information.

Notably, even among the people who are utilizing this technology, there is still a lot of skepticism, as three in ten AI users (30%) think it is doing more to help people trying to find accurate health information while one in five (21%) say it is doing more to hurt those efforts and about half of AI users (49%) are unsure.

Most Are Unsure About the Impact AI Will Have on Those Trying to Find Accurate Health Information Online

Methodology

This KFF Health Misinformation Tracking Poll was designed and analyzed by public opinion researchers at KFF. The survey was conducted June 3 – 24, 2024, online and by telephone among a nationally representative sample of 2,428 U.S. adults in English (2,358) and Spanish (70).

The sample includes 2,021 who were reached through an address-based sample (ABS) and completed the survey online (1,799) or over the phone (222). An additional 407 respondents were reached through a random digit dial telephone (RDD) sample of prepaid (pay-as-you-go) cell phone numbers. Marketing Systems Groups (MSG) provided both the ABS and RDD sample. All fieldwork was managed by SSRS of Glen Mills, PA; sampling design and weighting was done in collaboration with KFF.

Both ABS and RDD samples were stratified to increase the likelihood of reaching certain populations. To increase the likelihood of reaching households with Hispanic and Black adults in the ABS sample, Census block groups with higher shares of Hispanic and Black populations were oversampled. The ABS sample was also stratified based on model-based prediction of household-members’ party identification (Republican, Democratic, or independent). The prepaid cell phone sample was disproportionately stratified to reach Hispanic and non-Hispanic Black respondents, based on the likely county associated with phone numbers.

Respondents received a $10 incentive for their participation, with interviews completed by phone receiving a mailed check and web respondents receiving a $10 electronic gift card incentive.

A series of data quality checks were run on the final data. The online questionnaire included two questions designed to establish that respondents were paying attention and cases were monitored for data quality including item non-response, mean length, and straight lining. Cases were removed from the data if they failed two or more of these quality checks. Based on this criterion, five cases were removed.

The combined ABS and cell phone samples were weighted to match the sample’s demographics to the national U.S. adult population using data from three sources: the Census Bureau’s 2023 Current Population Survey (CPS), the 2021 Census Planning Database, and the 2023 National Public Opinion Reference Survey (NPORS). The combined sample was weighted by sex by age, sex by education, age by education, race/ethnicity by education, education, race, census region, population density, and frequency of internet usage. The weights also take into account differences in the probability of selection for each sample type (ABS and prepaid cell phone). This includes adjustment for the sample design and geographic stratification of the samples, and within household probability of selection.

The margin of sampling error including the design effect for the full sample is plus or minus 3 percentage points. Numbers of respondents and margins of sampling error for key subgroups are shown in the table below. For results based on other subgroups, the margin of sampling error may be higher. Sample sizes and margins of sampling error for other subgroups are available by request. Sampling error is only one of many potential sources of error and there may be other unmeasured error in this or any other public opinion poll. The Misinformation module included in this survey was designed, analyzed, and paid for by KFF. The demographic questions included in this study were developed and funded jointly by CNN and KFF as part of an unrelated project, with each organization having independent editorial control over its portion of the survey. KFF public opinion and survey research is a charter member of the Transparency Initiative of the American Association for Public Opinion Research.

GroupN (unweighted)M.O.S.E.
Total2,428± 3 percentage points
   
Race/Ethnicity
White, non-Hispanic1,476± 3 percentage points
Black, non-Hispanic334± 7 percentage points
Hispanic400± 7 percentage points
 
Age
18-29358± 7 percentage points
30-49842± 4 percentage points
50-64616± 5 percentage points
65+598± 5 percentage points
Artificial Intelligence (AI) Use
Use or interact with AI1540± 3 percentage points
Do not use or interact with AI865± 4 percentage points
News Release

Poll: Most Who Use Artificial Intelligence Doubt AI Chatbots Provide Accurate Health Information

Published: Aug 15, 2024

Amid rising interest in and use of artificial intelligence (AI) by individuals and businesses, most of the public (63%), including most AI users (56%), are not confident that AI chatbots provide accurate health information, a new KFF Health Misinformation Tracking Poll finds.

The poll comes as AI chatbots such as ChatGPT, Google Gemini, and Microsoft CoPilot have become widely available and public use has risen. About one in six (17%) adults now say they use such chatbots at least once a month to find health information and advice. That includes a quarter (25%) of those under age 30.

“While most of the attention around AI in health is focused on how it can transform medical practice and create new business opportunities, consumers are also using it, and the jury is still out on whether it will empower or confuse them,” KFF President and CEO Drew Altman said. “At KFF, our focus will be on how AI and other information technologies affect people.”

Other findings include:

  • AI users’ trust in chatbot responses varies based on the type of information provided. For example, most users say they trust chatbots’ responses related to practical tasks (66%) and technology (61%) at least a fair amount. Far fewer say so about responses related to health (36%) and politics (24%).
  • When asked about AI chatbots generally, most of the public (56%) say they are not confident that they can tell what information is true and what is false in their responses. Even among those who use AI, half say they aren’t sure they can tell fact from fiction.
  • For most of the public, the verdict is still out on whether they believe AI mostly helps or hurts people trying to find accurate health information. Similar shares say it mostly helps (21%) or mostly hurts (23%), with a majority (55%) saying they are unsure.

Designed and analyzed by public opinion researchers at KFF. The survey was conducted June 3-June 24, 2024, online and by telephone among a nationally representative sample of 2,428 U.S. adults in English and in Spanish. The margin of sampling error is plus or minus 3 percentage points for the full sample. For results based on other subgroups, the margin of sampling error may be higher.

Highlights from the poll will be featured in an upcoming edition of the KFF Health Misinformation Monitor, a twice-a-month briefing that tracks the evolution and spread of health misinformation. Both the poll and the monitor are part of KFF’s new Health Misinformation and Trust Initiative.

Disparities in Health and Health Care: 5 Key Questions and Answers

Published: Aug 14, 2024

There has been heightened focus on health disparities and their underlying causes in recent years. These disparities are not new and reflect longstanding structural and systemic inequalities rooted in contemporary and historical racism and discrimination. This brief provides an introduction to what health and health care disparities are, why it is important to address them, what the status of disparities is today, recent federal actions to address disparities, and key issues related to addressing disparities in the future. More detailed information on this topic can be found in KFF’s Health Policy 101 chapter on Race, Inequality, and Health.

What are Health and Health Care Disparities?

Health and health care disparities refer to differences in health and health care between groups that stem from broader social and economic inequities (Figure 1). Health disparities include differences in health outcomes, such as life expectancy, mortality, health status, and prevalence of health conditions. Health care disparities include differences between groups in measures such as health insurance coverage, affordability, access to and use of care, and quality of care. Disparities occur across multiple factors including race and ethnicity, socioeconomic status, age, geography, language, gender, disability status, citizenship status, and sexual identity and orientation. Reflecting the intersectional nature of people’s identities, some individuals experience disparities across multiple dimensions. The U.S. has a long history of exclusionary policies and events that have driven and continue to contribute to racial and ethnic disparities in health today.

Why is it Important to Address Disparities?

Addressing disparities in health and health care is important from an equity standpoint and for improving the nation’s overall health and economic prosperity. Racial and ethnic health disparities result in higher rates of illness and death across a wide range of health conditions. Research shows that these disparities are costly, resulting in excess medical care costs and lost productivity, as well as additional economic losses due to premature deaths. In addition, it is increasingly important to address health disparities as the population becomes more diverse. The U.S. Census Bureau projects that people of color will account for over half (52%) of the population by 2050, with the largest growth occurring among people who identify as Asian or Hispanic (Figure 2).

People Of Color Are Projected To Make Up Over Half Of The U.S. Population As Of 2050

What is the Status of Disparities Today?

Despite the recognition and documentation of disparities for decades and overall improvements in population health over time, many disparities persist, and in some cases, have widened over time. Analysis across a broad range of measures of health finds that Black and American Indian or Alaska Native (AIAN) people fare worse than their White counterparts across half or more of these measures including infant mortality, pregnancy-related mortality, diabetes mortality, and cancer mortality. Data for Hispanic people are more mixed relative to White people, which reflects that some subgroups, such as recent immigrants, generally fare better on health outcomes despite faring worse on many measures of health access and social and economic factors that influence health. Asian people on aggregate fare the same or better than White people on most measures of health, but there are some subgroups of the population that face significant disparities. Disaggregated data for Native Hawaiian or Pacific Islander (NHPI) people are limited, but available data show that they fare worse than White people across the majority of examined measures.

Disparities in health occur across the life course. Black infants were more than two times as likely to die as White infants (10.9 vs. 4.5 per 1,000 live births), and AIAN (9.1 per 1,000 live births) and NHPI (8.5 per 1,000 live births) infants were roughly twice as likely to die as White infants in 2022 (Figure 3). Hispanic infants (4.9 per 1,000 live births) also have a slightly higher mortality rate than White infants. NHPI (62.8 per 100,000), Black (39.9 per 100,000) and AIAN (32 per 100,000) women had the highest rates of pregnancy-related mortality between 2017 and 2019. In 2022, the age-adjusted mortality rates for diabetes for NHPI (49.9 per 100,000), AIAN (47.7 per 100,000), and Black (42.9 per 100,000) people were about twice as high as the rate for White people (21.3 per 100,000); Hispanic people also had a higher diabetes death rate compared to White people (28.3 per 100,000). AIAN and Black people have consistently had a shorter life expectancy than White people, with gaps widening during the COVID-19 pandemic. Based on provisional data for 2022, life expectancy for Black people was about five years shorter than White people (72.8 vs. 77.5), and nearly ten years shorter for AIAN people (67.9).

Black, AIAN, and NHPI People Have Higher Infant Mortality Rates Compared To Other Groups

There also are ongoing disparities in health coverage and access to care. For example, nonelderly AIAN, Black, Hispanic, and NHPI people are more likely to be uninsured than their White counterparts despite large gains in coverage since the Affordable Care Act (Figure 4).

Despite Large Gains In Coverage, Racial And Ethnic Disparities Remain

What are Recent Federal Actions to Address Disparities?

Early in his presidency, President Biden issued a series of executive orders focused on advancing health equity and directing federal agencies to develop Equity Action Plans. The Centers for Medicare and Medicaid (CMS) released an updated framework to advance health equity for people covered by Medicare, Medicaid, the Children’s Health Insurance Program (CHIP) and the Health Insurance Marketplaces. The Administration and Congress took a range of actions to stabilize and increase access to health coverage amid the pandemic, with some extending beyond the Public Health Emergency and others ending; this included a temporary requirement of continuous enrollment in Medicaid which came to an end on March 31, 2023, with millions of Medicaid enrollees being disenrolled since. There has also been a growing focus by the Biden Administration on addressing maternal health disparities and increasing the availability of disaggregated racial and ethnic data to better identify and address disparities.

The Biden Administration also expanded the Child Tax Credit, which has contributed to reductions in child poverty and improvements in health and well-being. The Biden Administration temporarily increased the Child Tax Credit (CTC) as part of the American Rescue Plan in 2021. Research shows that this expansion was associated with significant reductions in child poverty rates for Black and Hispanic children and that it will likely lead to short- and long-term benefits for children’s health and well-being, particularly poor and younger children, stemming from improved outcomes associated with increased parental income. However, the expansion expired at the end of 2021, and poverty rates rebounded. A bipartisan bill that would provide a Child Tax Credit expansion primarily to children in low-income families is pending, although its future remains uncertain.

Growing mental health needs, increasing climate-related health risks, policy changes, and the outcome of the 2024 presidential election will all have important implications for future efforts to address disparities. People of color face disproportionate barriers to accessing mental health care and there also have been large increases in drug overdose death rates for AIAN, Black, and Hispanic people compared to White people between 2019 and 2022, amplifying the focus on disparities in mental health. Growing climate-related health impacts may exacerbate disparities given their disproportionate impacts on marginalized communities. In addition, evolving federal and state policies related to reproductive health, Medicaid, and immigration impact disparities. For example, state variation in access to abortion in the wake of the Dobbs decision may exacerbate the already large racial disparities in maternal health. Coverage losses following the end of the Medicaid continuous enrollment provision may lead to widening disparities in coverage due to people of color being more likely to be covered by Medicaid. In addition, proposals to convert federal Medicaid funds to per capita caps or block grants could further exacerbate disparities in access to health coverage. On the other hand, take-up of the ACA Medicaid expansion in the remaining states that have not yet expanded as well as other Medicaid initiatives could narrow disparities. Evolving immigration policies may impact health care access for immigrants, who are more likely than U.S.-born people to be uninsured and to face challenges accessing health care. Finally, the 2024 presidential election will have far-reaching implications for these and other key health policy areas.

News Release

While Medicare Drug Price Negotiations Don’t Apply to Private Insurance, 3.4 Million People with Employer Coverage Take at Least One of the Selected Drugs

Published: Aug 14, 2024

Among the 167 million people with employer-sponsored insurance in 2022, 3.4 million used at least one of the first 10 drugs identified for Medicare price negotiations, according to a new KFF analysis. Medicare is expected to release the negotiated drug prices, which will go into effect in 2026, by no later than September 1, 2024.

The most used drug for people with employer-sponsored health insurance was Jardiance, a drug used to treat diabetes and heart failure, which was taken by more than 911,000 enrollees.In the future, the Medicare program will negotiate prices for additional drugs, which millions more people with employer coverage could also be taking. As the policy currently stands, lowering drug prices in Medicare has no direct effect on private insurance plans, and the indirect effects are still unclear. Some argue lower negotiated prices in Medicare will result in higher prices in private insurance plans, while others suggest Medicare prices could serve as a benchmark and lead to savings.The full analysis and other data on health costs are available on the Peterson-KFF Health System Tracker, an online information hub dedicated to monitoring and assessing the performance of the U.S. health system.

How Many People with Employer-Sponsored Insurance Use the Drugs Slated for Medicare Price Negotiations

Authors: Delaney Tevis, Justin Lo, Matthew Rae, and Cynthia Cox
Published: Aug 14, 2024

Among the 167 million people with employer-sponsored insurance in 2022, 3.4 million used at least one of the first 10 drugs identified for Medicare price negotiations, according to a new analysis. The most used drug for people with employer-sponsored health insurance was Jardiance, a drug used to treat diabetes and heart failure, which was taken by more than 911,000 enrollees.

The analysis uses the Merative MarketScan 2022 commercial claims to estimate the number of enrollees in the employer-sponsored insurance market who use one or more of the ten drugs selected for Medicare Part D price negotiations.

The full analysis and other data on health costs are available on the Peterson-KFF Health System Tracker, an online information hub dedicated to monitoring and assessing the performance of the U.S. health system.