Contraception X Article: Out-of-Pocket Spending for Oral Contraceptives Among Women with Private Insurance Coverage After the Affordable Care Act

Published: Aug 21, 2020

The Affordable Care Act’s preventive care provisions eliminated out-of-pockets costs for contraception for many insured women, but some are still paying these out-of-pocket costs.

In an article for Contraception: X, KFF’s Brittni Frederiksen, Matthew Rae, and Alina Salganicoff examine large employer plans to identify which types and brands of oral contraceptive pills have the largest shares of oral contraceptive users with out-of-pocket spending and which oral contraceptives have the highest average annual out-of-pocket costs.

The authors found 10% of oral contraceptive users in large employer plans still had out-of-pocket costs in 2018.

Brand name oral contraceptives with generic alternatives had the largest share of users with annual out-of-pocket spending and the three drugs with highest average annual out-of-pocket spending were brand names without generic alternatives.

News Release

Amid the Coronavirus Crisis, President Trump and Democratic Nominee Joe Biden Offer Widely Different Views on Health Care

New Side-by-Side Comparison Highlights Where the Two Candidates Stand on a Range of Health Issues

Published: Aug 20, 2020

President Trump and Democratic nominee Joe Biden hold widely divergent views on health issues, with the president’s record and response to the coronavirus pandemic likely to play a central role in November’s elections.

A new KFF side-by-side comparison examines President Trump’s record and former Vice President Biden’s positions across a wide range of key health issues, including the response to the pandemic, the Affordable Care Act marketplace, Medicaid, Medicare, drug prices, reproductive health, HIV, mental health and opioids, immigration and health coverage, and health costs.

The resource provides a concise overview of the candidates’ positions on a range of health policy issues. While the Biden campaign has put forward many specific proposals, the Trump campaign has offered few new proposals for addressing health care in a second term and is instead running on his record in office.

It is part of KFF’s ongoing efforts to provide useful information related to the health policy issues relevant for the 2020 elections, including policy analysis, polling, and journalism. Find more on our Election 2020 resource page.

News Release

Analysis Finds 14 Million Medicare Part D and Large Employer Plan Enrollees Used Mail-Order Pharmacies Pre-Pandemic, Top Drugs Filled Were to Treat Chronic Conditions

Published: Aug 20, 2020

With questions being raised about potential delays in U.S. Postal Service delivery, a new KFF data note estimates 14 million enrollees in Medicare Part D and large employer plans relied on mail-order pharmacies for at least one prescription in 2018, with a total of over 170 million prescriptions fulfilled.

The use of mail-order pharmacies has been rising in recent years as patients have often been incentivized or mandated to use mail service for convenience and potential cost savings. This year’s COVID-19 pandemic has further boosted the use of mail-order pharmacies as government officials imposed stay-at-home orders and people stocked up on prescriptions.

The analysis finds that drugs for cardiovascular conditions made up half of the top ten drugs fulfilled by mail order for both Medicare Part D and large employer plan enrollees. More generally, drugs to treat chronic physical conditions and depression were among the most filled mail order prescriptions in both types of markets analyzed. Among large employer enrollees, 10% of all oral contraceptive prescriptions were filled via mail-order pharmacy, placing them in the top ten.

Mail Delays Could Affect Mail-Order Prescriptions for Millions of Medicare Part D and Large Employer Plan Enrollees

Published: Aug 20, 2020

Data Note

In July, the new Postmaster General instituted changes in the operation of the U.S. Postal Service that could result in delays in mail delivery. More recently, the post office has suspended these changes until after the November election. Prior to the announcement that he was postponing these changes, the Postmaster General had warned states of the possibility that mail-in ballots requested close to state deadlines would not be received in time to be counted in November’s election. Changes to the Postal Service’s delivery standards have potential implications that extend beyond those for the election.

Potential mail service delays could also be a concern for people who receive prescription drugs from mail-order pharmacies. In 2019, sales of mail-order prescriptions in the U.S. totaled nearly $145 billion (excluding rebates), with residents of some states more likely than others to use mail-order pharmacies. Mail service delays could affect a relatively large number of people in the midst of the COVID-19 pandemic. Data from the first seven months of 2020 shows that use of mail order increased by up to 20% over 2019 levels in the early weeks of the pandemic as patients stocked up on prescriptions and avoided retail settings, but as of late July, mail-order use is up only slightly compared to the same period last year. Getting prescriptions through mail-order pharmacies can offer convenience and cost savings to patients. Many large group plan enrollees choose to fill prescriptions at reduced cost through the mail, while others are only able to fill scripts at a mail-order pharmacy.

To understand who may be most affected by delays in the delivery of prescription drugs, we analyzed use of mail order in Medicare Part D and large group employer plans, and identified the therapeutic classes and specific drugs with the highest volume of fills by mail-order pharmacies in each market.

Based on 2018 data that predates the pandemic, 17% of Medicare Part D beneficiaries (7.3 million) and 13% of large employer plan enrollees (6.6 million) with prescription use had at least one prescription delivered from a mail-order pharmacy (Figure 1). Of the 157 million people who had employer coverage in 2018, 82 million were covered by an employer with 1,000 or more employees. In total, Medicare Part D beneficiaries and enrollees in large group employer plans filled 8% and 9% of prescriptions by mail order, accounting for 115 million and 58 million prescription fills respectively (Table 1). These estimates do not take into account mail-order use by people with other sources of coverage, including Medicaid, Marketplace plans, small-group enrollees, or the Veterans Administration.

Figure 1: In 2018, 1 in 6 Medicare Part D Enrollees (17%) and 1 in 8 Large Employer Plan Enrollees (13%) Who Filled Prescriptions Used Mail Order For At Least One Prescription

Across both Medicare Part D and large group employer plans, cardiovascular agents made up five of the top 10 therapeutic classes in terms of mail-order prescription fills in 2018 (Table 1). In each population, antihyperlipidemic drugs to aid in lowering cholesterol had the largest number of prescriptions filled by a mail-order pharmacy. Among Medicare Part D beneficiaries, 14% of antihyperlipidemic drugs were filled by mail (16.5 million prescriptions), while 20% of drugs in this class were filled by mail by large employer plan enrollees (6.7 million prescriptions).

Among large employer enrollees, oral contraceptives were among the top 10 therapeutic classes with prescriptions filled by mail order. In 2018, 10% percent of oral contraceptive prescriptions (2.4 million) filled by enrollees in a large group plan were filled by a mail-order pharmacy. Other classes that rank in the top 10 for mail-order prescriptions include certain diabetes medications, with 15% of prescriptions (2.5 million) for large employer enrollees and 11% of prescriptions (4.7 million) for Medicare Part D enrollees filled by mail order in 2018, and antidepressants, with 10% of prescriptions (5.7 million) for large employer enrollees and 7% of prescriptions (6.5 million) for Medicare Part D enrollees filled by mail order in 2018.

The top 10 drugs by volume of prescriptions filled by mail order in 2018 were the same for Medicare Part D and large employer plans, though the rankings vary slightly, and include several medications to treat high cholesterol and hypertension (Table 2). Among Medicare Part D enrollees, atorvastatin, which is used to treat high cholesterol, had the highest volume of mail-order fills (6.6 million, or 13% of all prescriptions for this product in 2018); among enrollees in large employer plans, levothyroxine sodium, which treats hypothyroidism, had the highest volume of mail-order fills (3.1 million, 16%).

More women than men in both large employer plans and Medicare Part D filled prescription drugs and received at least one mail-order prescription drug in 2018 (Figure 2). Stratifying by age among individuals in large employer plans, among reproductive age individuals (ages 15 to 43) in large employer plans, a higher share of women than men had at least one mail-order prescription drug claim (11% for women in this age group versus 7% for men), which is partially driven by mail-order use for contraception. There were no differences by gender in the percentage of those who have at least one mail-order prescription among children ages 0-14 or individuals ages 44 to 64 (3% and 22% respectively).

Figure 2: In Both Large Employer Plans and Medicare Part D, More Women Than Men Filled Prescription Medications in 2018, Both Overall and Through Mail Order

Drugs used to treat chronic conditions, including hypothyroidism, high cholesterol, hypertension, and type 2 diabetes, are among the prescriptions most commonly filled by mail order for Medicare Part D enrollees and large employer plan enrollees, whether measured by therapeutic class or product. Therefore, delays in delivery due to changes to the operations of the U.S. Postal Service could lead to negative health consequences if it compromises patients’ ability to adhere to their medication regimens.

Tables

Table 1: Top 10 Therapeutic Classes Filled by Mail Order in Medicare Part D and Large Employer Plans,by Volume of Prescriptions, 2018
Therapeutic classTherapeutic groupNumber of prescriptions filled by mail orderNumber of enrollees with mail-order prescriptionAmong all prescriptions filled within therapeutic class, share filled by mail order
Medicare Part D
TOTAL, all classes114,888,2007,293,6357.8%
  Antihyperlipidemic Drugs, NECCardiovascular Agents16,517,5654,449,52014.1%
  Cardiac, Beta BlockersCardiovascular Agents8,923,5452,552,12011.6%
  Cardiac, ACE InhibitorsCardiovascular Agents6,934,9751,974,12012.8%
  Psychotherapeutics, AntidepressantsCentral Nervous System6,534,3951,659,3456.9%
  Cardiac, Calcium ChannelCardiovascular Agents6,453,3801,873,32511.3%
  Cardiac Drugs, NECCardiovascular Agents6,021,1951,717,62013.2%
  Thyroit/Antithyroid, Thyroid/HormonesHormones & Synthetic Substitutes5,803,4101,561,60512.4%
  Gastrointestinal Drug Misc, NECGastrointestinal Drugs5,642,4201,700,5809.7%
  Antidiabetic Agents, MiscHormones & Synthetic Substitutes4,693,6301,280,35510.8%
  Misc Therapeutic Agents, NEC*Misc Therapeutic Agents2,984,960741,87011.7%
Large Employer Plans
TOTAL, all classes58,076,5116,552,5689.1%
  Antihyperlipidemic Drugs, NECCardiovascular Agents6,743,9341,807,41520.1%
  Psychotherapeutics, AntidepressantsCentral Nervous System5,723,7191,466,37610.3%
  Thyroid/Antithyroid, Thyroid HormonesHormones & Synthetic Substitutes3,409,575897,76815.9%
  Cardiac, ACE InhibitorsCardiovascular Agents3,185,892922,54915.6%
  Cardiac, Beta BlockersCardiovascular Agents2,680,792780,26815.5%
  Cardiac Drugs. NECCardiovascular Agents2,574,019747,70816.1%
  Antidiabetic Agents, MiscHormones & Synthetic Substitutes2,512,233665,01415.0%
  Contraceptive, Oral Comb, NECHormones & Synthetic Substitutes2,411,000683,44510.3%
  Gastrointestinal Drugs Misc, NECGastrointestinal Drugs2,335,366711,48513.1%
  Cardiac, Calcium ChannelCardiovascular Agents2,043,871604,57814.5%
NOTE: NEC is not elsewhere classified. Estimates for large employer plans exclude enrollees with fewer than 7 months of coverage. *Less than 1% of prescriptions in the “Misc Therapeutic Agents, NEC” class are categorized in the “Respiratory Tract Agents” therapeutic group.SOURCE: KFF analysis of IBM Marketscan Commercial Claims and Encounters Database, 2018, and 2018 Medicare prescription drug event claims for a 20 percent sample of Medicare beneficiaries from the CMS Chronic Conditions Data Warehouse.
Table 2: Top 10 Drug Products Filled by Mail Order in Medicare Part D and Large Employer Plans, by Volume of Prescriptions, 2018
Drug productNumber of prescriptions filled by mail orderNumber of enrollees with mail-order prescriptionAmong all prescriptions filled for drug product, share filled by mail orderIndicationCommon brand names
Medicare Part D
Atorvastatin calcium6,636,7651,967,55513.0%high cholesterolLipitor
Levothyroxine sodium5,698,6301,548,50012.5%hypothyroidismLevothroid, Levoxyl, Synthroid, Unithroid
Amlodipine besylate4,581,6751,350,76011.2%hypertensionKaterzia, Norvasc
Lisinopril4,353,8651,265,54011.7%hypertensionPrinivil, Zestril
Simvastatin3,776,1251,089,48516.1%high cholesterolZocor
Metformin HCL3,696,3851,104,53512.2%type 2 diabetesGlucophage
Omeprazole3,264,8101,004,74011.3%acid reflux, ulcers, heart burnPrilosec
Losartan potassium3,120,395949,99512.6%hypertensionCozaar
Metoprolol succinate2,992,240880,12012.8%hypertension, angina, heart failureKapspargo Sprinkle, Toprol XL
Hydrochlorothiazide2,288,360690,80513.4%hypertensionMicrozide
Large Employer Plans
Levothyroxine sodium3,072,413837,58116.3%hypothyroidismLevothroid, Levoxyl, Synthroid, Unithroid
Atorvastatin calcium2,858,703864,83318.9%high cholesterolLipitor
Lisinopril2,067,537608,62515.2%hypertensionPrinivil, Zestril
Metformin HCL1,762,022544,08915.5%type 2 diabetesGlucophage
Amlodipine besylate1,349,224407,71713.6%hypertensionKaterzia, Norvasc
Simvastatin1,196,826348,01423.1%high cholesterolZocor
Losartan potassium1,117,641348,87015.3%hypertensionCozaar
Omeprazole1,077,168339,34313.4%acid reflux, ulcers, heart burnPrilosec
Metoprolol succinate965,373281,24916.2%hypertension, angina, heart failureKapspargo Sprinkle, Toprol XL
Hydrochlorothiazide939,555287,64614.6%hypertensionMicrozide
NOTE: Estimates for large employer plans exclude enrollees with fewer than 7 months of coverage. Includes all prescriptions for products containing the specified generic name. Does not reflect combination products that include the active ingredient. Each of the top 10 drugs are available generically. The “common brand names” field is provided as an example of branded versions, though these do not account for all of the mail-order fills for any of these top 10 drug products.SOURCE: KFF analysis of IBM Marketscan Commercial Claims and Encounters Database, 2018, and 2018 Medicare prescription drug event claims for a 20 percent sample of Medicare beneficiaries from the CMS Chronic Conditions Data Warehouse.

Methods

For the analysis of large employer plans, we analyzed a sample of medical claims obtained from the 2018 IBM Health Analytics MarketScan Commercial Claims and Encounters Database, which contains claims information provided by large employer plans. We only included claims for people under the age of 65, as people over the age of 65 are typically on Medicare. This analysis used claims for almost 18 million people representing about 22% of the 82 million people in the large group market in 2018. Seventy percent of larger group enrollees who were enrolled for more than six months had at least one prescription drug claim in the year. Weights were applied to match counts in the Current Population Survey for enrollees at firms of 1,000 or more workers by sex, age and state. Weights were trimmed at eight times the interquartile range.

For the analysis of Medicare Part D, we used the 2018 Medicare Part D prescription drug event (PDE) claims data from the Centers for Medicare & Medicaid Services (CMS) Chronic Conditions Data Warehouse (CCW) for a 20 percent sample of Medicare beneficiaries. The analysis was limited to enrollees who filled a prescription in 2018, which equaled 42.9 million enrollees out of 46.1 million total (93.1%).

For both datasets, MarketScan’s Red Book was used to classify drugs by generic id and the therapeutic/pharmacologic category of the drug product. Drug spending paid for by someone other than an enrollee’s insurer, drugs administered in an inpatient setting, or not classified under the controlled substance act were excluded. Each prescription drug claim was counted as a single prescription regardless of the quantity or strength of that prescription. Drugs were grouped by the generic drug name, which may include multiple brands, but treats combination products separately.

To identify prescriptions filled by a mail-order pharmacy, we used the field indicating the type of pharmacy that filled the prescription. It is not possible to determine the method by which the prescription was subsequently mailed, and thus the totals here reflect prescriptions delivered via the U.S. Postal Service, as well as those delivered by other services, such as FedEx or UPS. In the Part D claims, specialty pharmacy claims are reported separately from mail-order pharmacy claims, although in some cases, specialty pharmacies may ship directly to patients; our analysis does not count these prescriptions as mail order because we are unable to identify them as such.

News Release

Analysis: Many Private Insurers Offer Financial Relief for COVID-19 Treatment, but Cost-Sharing Waivers Are Expiring

Published: Aug 20, 2020

A new analysis finds that most people with individual or fully-insured group market coverage are in plans that waived cost-sharing for COVID-19 treatment, though many of those waivers are set to expire in the coming months.

About 88% – nearly nine in ten – enrollees in the individual and fully-insured group markets are covered by plans that have taken action to limit out-of-pocket costs for patients undergoing treatment for COVID-19 since the start of the pandemic. However, after accounting for waivers that have already expired (20%) or are scheduled to expire by the end of September (16%), just over half of enrollees in these plans will still be eligible for waived cost-sharing in October and beyond.

The estimates do not include the 61% of group market enrollees in self-insured plans through their employers. While many people with job-based health insurance may be covered by private insurers that are waiving cost-sharing for COVID-19 treatment, if their plan is self-insured, their employer can opt out extending cost-sharing and other financial relief to employees.

While emergency federal legislation has made COVID-19 testing available at no cost to most people, there is no federally mandated limit on out-of-pocket costs for COVID-19 treatment. KFF estimates that an inpatient admission for COVID-19 treatment could generate more than $1,300 in out-of-pocket costs for a person in a large employer-sponsored plan and costs could be much higher for people who are severely sick; the average costs that enrollees in individual and small group market plans can expect to pay may also be higher, given that these plans typically have higher deductibles. Additionally, enrollees in plans that waive cost-sharing for COVID-19 treatment may still be responsible for costs associated with the use of out-of-network providers or services.

The brief also finds that a smaller number of enrollees (23%) in individual and fully-insured group market plans are eligible for some form of premium relief amid the pandemic, including premium credits or reductions, grace periods for premium payment, and/or expedited Medical Loss Ratio (MLR) rebates.

A related analysis examines steps private insurers have taken expand the use of telemedicine during the pandemic, including waived cost-sharing for plan enrollees.

The issue brief is 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.

Health and Financial Risks for Noncitizen Immigrants due to the COVID-19 Pandemic

Published: Aug 18, 2020

Summary

The COVID-19 pandemic has taken a disproportionate toll on some groups of individuals, including lower income individuals and people of color. One group who faces risks and challenges associated with the pandemic is the nearly 22 million noncitizen immigrants living in the U.S. today. Non-citizen immigrants were already facing a range of challenges prior to the pandemic, including increased fear and uncertainty due to shifting immigration policy that was leading some to turn away from accessing programs and services. As virus hotspots have risen in the Southern and Western regions of the country, with reports of increases in towns along the U.S.-Mexico border, understanding the risks and challenges facing noncitizen immigrants is of increasing importance. This brief analyzes key characteristics of noncitizen immigrants to examine the health and economic risks they face amid the pandemic. It finds:

  • Noncitizen immigrants are more likely to live in large households and in urban areas compared to citizens. Overall, 33% of noncitizen immigrants live in a household with more than four people compared to 21% of citizens. Noncitizens also are more likely than citizens are to live in an urban area (96% vs. 86%).
  • There are nearly 13 million noncitizen immigrant workers who make up 8% of the overall workforce and are concentrated in jobs that cannot be done virtually. Nearly one in four (23%) noncitizen workers are in the construction and restaurant and food services industries. Occupations that employ the largest numbers of noncitizen workers include construction laborers, cooks, janitors and building cleaners, agricultural workers, and maids and housekeepers, where they also account for a high share of all workers.
  • Noncitizen workers are more likely to rely on public transportation to commute to their job and to be low-income compared to their citizen counterparts. Nearly one in four (24%) noncitizen workers rely on public transportation or carpools to commute to their job compared to 12% of citizen workers. They also are twice as likely live in a low-income household compared to citizen workers (36% vs. 18%).
  • Noncitizen immigrants are significantly more likely to be uninsured than citizens. Among the nonelderly population, 33% of noncitizen immigrants are uninsured compared to 9% of citizens.

Taken together, noncitizen immigrants’ living, working, and commuting situations increase their risk for exposure to coronavirus. They are more likely to live in larger households in densely populated areas that make social distancing challenging. Moreover, because many noncitizens workers are employed in jobs that cannot be done from home and have lower incomes, many cannot afford to stay home to limit risk of exposure and/or if they are sick. Their lower incomes and work in service industries that have experienced cutbacks amid the pandemic also increase their risks of experiencing financial hardship. Noncitizen immigrants also may have difficulty accessing testing and treatment due to their higher uninsured rate and immigration-related fears. Although noncitizen immigrants face increased risks associated with the pandemic, restrictions limit immigrants’ eligibility for federal health and financial relief provided in response to COVID-19. Further, those who are eligible for assistance may be reluctant to access services or supports due to immigration-related fears. The extent to which COVID-19 response efforts address challenges facing immigrant families has implications for immigrant families as well as the health and economic stability of the broader population, particularly given the role immigrants play in the nation’s workforce.

Issue Brief

Overview of Noncitizen Immigrants

As of 2018, there were nearly 22 million noncitizen immigrants living in the United States, making up roughly 7% of the total population (Figure 1). Noncitizens include lawfully present and undocumented immigrants. Many individuals live in mixed status families that may include lawfully present immigrants, undocumented immigrants, and/or citizens. Over two-thirds (67%) of noncitizens lived in a household (which may include their family or unrelated household members) with a citizen. While there are few noncitizen children overall, about 10 million or nearly 13% of citizen children have a noncitizen parent.

Figure 1: Immigrants and Children of Immigrants as a Share of the Total U.S. Population, 2018

Key Characteristics of Noncitizen Immigrants

This analysis presents data on the living situations, employment and commuting patterns, income, and health insurance for noncitizen immigrants prior to the COVID-19 pandemic. It is based on KFF analysis of 2018 American Community Survey data (see Methods for more details.) Although these data show characteristics of noncitizen immigrants prior to the pandemic, they provide insight into the health and financial risks they face associated with the pandemic.

Living Situations

Non-citizen immigrants are more likely than citizens to live in larger households and urban areas, potentially increasing their risk of exposure to the virus. Overall, 33% of noncitizen immigrants live in a household with more than four people compared to 21% of citizens, and 8% nonelderly noncitizen immigrants live with someone aged 65 or over. Noncitizens also are more likely than citizens are to live in an urban area (96% vs. 86%).

Employment, Commuting, and Income

The nearly 13 million noncitizen workers, who make up 8% of the overall workforce, are concentrated in jobs that generally cannot be done virtually. Nearly one in four (23%) noncitizen workers are in the construction and restaurant and food services industries (Figure 2).

Figure 2: Distribution of Noncitizen Immigrant Workers by Industry, 2018

Occupations that employ the largest numbers of noncitizen workers include construction laborers, cooks, janitors and building cleaners, agricultural workers, and maids and housekeepers, where they also account for a high share of all workers. For example, they account for over four in ten agricultural workers (42%), 30% of maids and housekeepers, one in five (20%) cooks, and 16% of janitors and building cleaners (Figure 3). Noncitizen workers also contribute to the health care workforce. They make up 5% of workers in the health care industry and up to 10% of all aides and personal care workers and direct contact support workers in home health care and nursing and residential care facilities.

Figure 3: Share of Workers who Are Noncitizen Immigrants in Top Five Occupations Held by Noncitizen Workers, 2018

Prior to the pandemic, noncitizen workers were more likely than citizen workers to rely on public transportation or carpools to commute to their job (Figure 4). Noncitizens were less likely to drive alone to work compared to citizen workers (64% vs 79%) and were twice as likely as their citizen counterparts were to carpool (16% vs. 8%) and use public transit (10% vs. 5%).

Figure 4: Commuting Patterns for Workers by Citizenship Status, 2018

Noncitizen workers twice as likely to be low-income (household income below 200% of the federal poverty level or $43,400 for a family of three as of 2020) compared to their citizen counterparts (36% vs. 18%) (Figure 5).

Figure 5: Share of Workers who are Low-Income by Citizenship Status, 2018

Health Insurance

Noncitizen immigrants are significantly more likely than citizens to be uninsured. Among the nonelderly population, 33% of noncitizen immigrants are uninsured compared to 9% of citizens (Figure 6).

Figure 6: Uninsured Rate among the Nonelderly Population by Citizenship Status, 2018

Implications

Taken together, noncitizen immigrants’ living, working, and commuting situations make them more likely to be at risk for exposure to coronavirus. They are more likely to live in larger households in densely populated areas that make social distancing challenging. Moreover, because many noncitizens workers are employed in jobs that cannot be done from home and have lower incomes, many may put themselves at risk of exposure to coronavirus because they cannot afford to stay home and miss work. Noncitizen workers may also face increased risk of exposure due to their reliance on public transportation and carpools. Although data on infections and deaths among immigrants are limited, there have been outbreaks among workers in meatpacking plants and farmworkers, which include high shares of immigrant workers. Moreover, reports indicate that outbreaks are spiking along the U.S.-Mexico border, where large numbers of immigrants live.

Noncitizen immigrants also face increased risks of financial difficulties due to economic impacts of the pandemic. Noncitizen workers are at risk for job cutbacks because many are working in service industries, such as restaurants and food services. Other analysis finds that initial job losses amid the pandemic have been particularly high among immigrants. Given their low incomes, job loss could lead to significant financial pressures for them and their families, including increased difficulty paying for basic needs. Analysis has found that Hispanic adults in families with noncitizens are experiencing higher rates of negative employment impacts because of the pandemic than families where all members are citizens, and that they were more likely to report experiencing hardships such as food insecurity or not being able to pay their full rent or mortgage on time.

Noncitizens immigrants may face increased barriers to accessing testing or treatment due to higher uninsured rates. Immigrants are on average younger and healthier compared to citizens, meaning they face relatively lower risk of experiencing serious illness if infected with coronavirus. However, because they face increased barriers accessing health care, they may have greater challenges accessing testing and treatment that could lead them to delay or forgo seeking care. Research shows that uninsured individuals are less likely to have a usual source of care and more likely to delay or go without care compared to those with insurance. The number of uninsured individuals, including immigrants, is expected to increase as people lose jobs and job-based health coverage due to the pandemic.

Although noncitizen immigrants face increased risks associated with the pandemic, restrictions limit immigrants’ eligibility for federal health and financial relief provided in response to COVID-19.

  • Health coverage and testing and treatment. Under existing rules, eligibility for Medicaid and the Children’s Health Insurance Program (CHIP) is generally limited to lawfully present immigrants who have had lawful status for at least five years, meaning that many recent lawfully present immigrants are ineligible to enroll. Lawfully present immigrants are eligible for Marketplace coverage regardless of their length of time in the country. Undocumented immigrants are not eligible to enroll in Medicaid or CHIP or to purchase coverage through the Affordable Care Act (ACA) Marketplaces. The Families First Act as amended by the Coronavirus Aid, Relief, and Economic Security (CARES) provides a new optional Medicaid category that states can adopt to provide free coronavirus testing to uninsured individuals. However, it does not change the existing immigrant eligibility restrictions for Medicaid, and, as such, does not extend to recent lawfully present and undocumented immigrants. A portion of the $100 billion in federal funding directed to providers under the CARES Act will go to hospitals for treating uninsured patients regardless of immigration status, but how this may affect immigrant access will depend on how the funding is allocated.
  • Financial assistance. The CARES Act provides financial assistance to individuals through a recovery rebate, but it is limited to people filing taxes with Social Security Numbers. Both an individual filer and his or her spouse must have a valid Social Security Number if filing jointly. Other analysis estimates that this requirement excludes 15.4 million people from receiving the rebate. Immigrants generally may qualify for regular unemployment insurance if they are work-authorized at the time they file for unemployment insurance and remain authorized during the period they receive unemployment. However, that leaves undocumented immigrants without access to unemployment support even if they were employed.
  • Some states and localities have taken steps to fill in the gaps in assistance available to immigrant families. For example, as of August 12, 2020, 13 states have expanded Emergency Medicaid to cover COVID-related testing or treatment. Emergency Medicaid provides payments to states for emergency services made on behalf of individuals who are otherwise eligible for Medicaid but for their immigration status. In addition, some states and localities have established financial relief funds to assist immigrants who do not qualify for federal resources.

Growing fear and uncertainty among individuals in immigrant families may also lead to some individuals avoiding accessing services or assistance even if they are eligible for them. Immigration policy changes and enhanced immigration enforcement efforts over the past several years have led to growing fear and uncertainty among immigrant families that are leading some to avoid seeking services, including health care, and/or enrolling in public programs, including health coverage through Medicaid and the Children’s Health Insurance Program (CHIP). These include recent changes to public charge policy that would prevent individuals from obtaining a green card or entry into the U.S. if they are determined likely to use certain public programs, including Medicaid. U.S. Citizenship and Immigration Services (USCIS) posted an alert clarifying that it will not consider testing, treatment, or preventive care (including vaccines if a vaccine becomes available) related to COVID-19 as part of public charge determinations. In addition, Immigration and Customs Enforcement (ICE) has reiterated that, consistent with its existing sensitive locations policy, it will not carry out enforcement operations at or near health care facilities, except in the most extraordinary circumstances. However, families may still be fearful of accessing services or assistance if they are uncertain about current policies.

In sum, noncitizen immigrants face an array of risks and challenges associated with the pandemic. However, they have more limited access to federal support and assistance. The extent to which COVID-19 response efforts address challenges facing immigrant families has implications for immigrant families as well as the health and economic stability of the broader population, particularly given the role immigrants play in the nation’s workforce.

Methods

This analysis is based on a KFF analysis of the 2018 American Community Survey (ACS), 1-year file. The ACS includes a 1% sample of the US population, the subset used here includes over 160,000 non-citizen observations. Industry and Occupation definitions are defined within ACS using the 2018 SOC and the 2017 NAICS – for more information see here. We define workers as adults (18+) who earned at least $1,000 during the year. Metro and non-metro areas are defined by the USDA Economic Research Service.

The ACS asks respondents about their health insurance coverage at the time of the survey. Respondents may report having more than one type of coverage; however, individuals are sorted into only one category of insurance coverage.

News Release

A Review of Multiple Analyses Documents Persistent Racial Disparities in COVID-19

Published: Aug 17, 2020

A KFF review of a wide range of studies finds a consistent pattern that people of color are bearing a disproportionate burden of COVID-19 cases, deaths, and hospitalizations, and that they may face increased barriers to access testing. These disparities, brought to the fore in the pandemic, mirror and compound longstanding underlying disparities in health and health care in the U.S. that stem from structural and systemic barriers across sectors, including racism and discrimination. Other analyses also suggest that the COVID-19 pandemic is taking a larger economic toll on people of color.

Racial Disparities in COVID-19: Key Findings from Available Data and Analysis, as well as other KFF work related to racial disparities and the pandemic, can be found at kff.org.

Racial Disparities in COVID-19: Key Findings from Available Data and Analysis

Authors: Samantha Artiga, Bradley Corallo, and Olivia Pham
Published: Aug 17, 2020

Summary

Over the course of the COVID-19 pandemic, there has been a growing focus on its disproportionate impacts on people of color, particularly as availability of data to understand racial disparities has increased. This brief summarizes key findings from data and analyses examining COVID-19 related cases, deaths, hospitalizations, and testing by race and ethnicity as of early August 2020 to provide increased insight into these disparities. Key findings include the following:

Multiple analyses of available federal, state, and local data show that people of color are experiencing a disproportionate burden of COVID-19 cases and deaths. They show particularly large disparities in cases and deaths for Black and American Indian and Alaska Native (AIAN) people and widespread disparities in cases among Hispanic people compared to their White counterparts. For example, KFF analysis of state reported data showed that, as of August 3, 2020, Black individuals accounted for more cases and deaths relative to their share of the population in 30 of 49 states reporting cases and 34 of 44 states reporting deaths. Other analysis of state-reported data finds that, as of August 4, the COVID-19 related death rate among Black people was over twice as high as the rate for White people, while the mortality rate for AIAN people was nearly two times that of White people. Data also reveal disparities for Asian and Native Hawaiian and Pacific Islander (NHOPI) individuals in certain areas and show a sharp, recent rise in mortality rates for NHOPI and Hispanic people. Analyses further find that disparities in COVID-19 related deaths persist across age groups and that people of color experience more deaths among younger people relative to White individuals. There is limited data and research to understand of impacts for subgroups, such as immigrants, who may be at increased risk.

Data show that Black, Hispanic, and AIAN people are at increased risk of hospitalization due to COVID-19. For example, data from Coronavirus Disease 2019-Associated Hospitalization Surveillance Network (COVID-NET) show that, from March through July 18, 2020, age-adjusted hospitalization rates due to COVID-19 for Black, Hispanic, and AIAN people were roughly five times higher than that of White people. Several studies using health system data also point to a higher risk of hospitalization for Black and Hispanic patients. Reflecting these higher hospitalization rates, analyses show that people of color make up a disproportionate share of COVID-19 hospitalizations relative to their share of the population or total hospital visits.

Studies find racial/ethnic disparities in COVID-19 among Medicare beneficiaries, nursing home facilities, pregnant women, and children. Preliminary Medicare COVID-19 data show that Black, Hispanic, and AIAN Medicare beneficiaries had higher rates of infection and hospitalization compared to White beneficiaries. Analysis finds that nursing homes where a higher share of residents are people of color are more likely to report a COVID-19 case. Studies also find disproportionate shares of infection among Hispanic and Black pregnant women and a higher risk of hospitalization among Black and Hispanic children.

Data to understand variation in testing by race/ethnicity remains very limited but suggest people of color may face increased barriers to testing. Very few states report testing data by race/ethnicity. Data on testing within community health centers analyzed by KFF show that people of color represented more than half of all people tested (57%) and confirmed cases (56%) at health centers, and that Hispanic patients made up a higher share of positive tests compared to their share of total tested patients. Analyses suggest that testing sites in and near predominantly Black and Hispanic neighborhoods are likely to face greater demand than those near predominantly White areas, which could contribute to longer wait times, and the share of people of color in an area is associated with an increase in travel time to a testing site. One study also found that, in New York City, more tests were performed in neighborhoods with a higher share of White residents, while the highest shares of positive tests were in neighborhoods with more people of color and lower socioeconomic measures. Reporting on testing site locations in Texas suggests that testing sites are disproportionately located in areas with larger shares of White residents.

Together, these data show that people of color are bearing a disproportionate burden of COVID-19 cases, deaths, and hospitalizations and that they may face increased barriers to access testing. Other analyses also suggest that the COVID-19 pandemic is taking a larger economic toll on people of color. These disparities in COVID-19 reflect and compound longstanding underlying social, economic, and health inequities that stem from structural and systemic barriers across sectors, including racism and discrimination. For example, prior to the pandemic, people of color had higher rates of health conditions, were more likely to be uninsured and face barriers to accessing health care, and were more likely to have lower incomes and face financial challenges. These underlying disparities put people of color at increased risk for exposure to the virus, experiencing serious illness if they are infected, and facing barriers to accessing testing and treatment.

The health and economic impacts of COVID-19 could further widen racial disparities at a time when there is a growing focus on and call for racial justice and health equity. Overall, the findings highlight the importance of considering how COVID-19 relief and response efforts will address inequities, including in decisions related to distribution of treatments and vaccines once they become available. Prioritizing equity will be key for addressing the current gaps in COVID-19 and health care more broadly and preventing widening of disparities in the future.

Issue Brief

Data on COVID-19 by Race/Ethnicity

At the outset of the COVID-19 pandemic, limited data were available on cases, hospitalization, deaths, and testing disaggregated by race/ethnicity, constraining the ability to understand its effects across communities and to target response and relief efforts. Availability of this data has increased over time and, along with it, there has been a growing body of analyses examining race-associated differences in the impacts of the virus. As of August 2020, nearly all states were reporting COVID-19 related cases and/or deaths by race and/or ethnicity. Following early state reporting of these data, the Centers for Disease Control and Prevention (CDC) began reporting hospitalizations, cases, and deaths by race/ethnicity, and the Centers for Medicare and Medicaid Services (CMS) and Health Resources and Services Administration (HRSA) began reporting limited data. (See Appendix A for a list of federal sources of COVID-19 data by race/ethnicity). Beyond these state and federal data sources, health systems and health insurers may also collect data, but these data typically are not publicly accessible.

While data have improved over time, they continue to have significant gaps and limitations. For example, some states only report either cases or deaths, states use different race/ethnicity categories, states vary in which racial/ethnic groups for which they report data, and some states have high shares of cases with unknown race/ethnicity. The federally reported data provide more standardized race/ethnicity categorizations but still have limitations, including high shares of cases with unknown race/ethnicity as well as lack of state-level data for some measures and inconsistencies that limit comparability of data across states. The federal data on hospitalizations represent a subset of 250 acute care hospitals in 14 states that are part of the Coronavirus Disease 2019-Associated Hospitalization Surveillance Network (COVID-NET). As of early August, data on testing by race/ethnicity remain very limited, with only six states reporting testing by race/ethnicity. In addition, because people of color may be at greater risk for exposure due to their jobs or living circumstances, data on testing rates alone cannot necessarily identify disparities. Data are available for tests conducted at community health centers, which primarily serve low-income patients and communities of color, though the data are not representative of a state’s population and are based on rapid response surveys.

Key Findings on COVID-19 by Race/Ethnicity

Below is a summary of key findings from data and analyses that examine reported COVID-19 cases, deaths, hospitalizations, and testing by race and ethnicity available as of early August 2020.1  (See Appendix B for a list of analysis referenced in this brief.) To collect relevant analyses, we conducted keyword searches of websites for government, research, and policy organizations that publish health-related research; media; and PubMed. While we tried to be comprehensive in our inclusion of studies and findings on this topic, it is possible that we omitted some relevant studies or findings. Moreover, because work in this area is continually developing and growing, research that is more recent may be available that this summary does not reflect.

Cases and Deaths

Multiple analyses of available federal, state, and local data show that people of color are experiencing a disproportionate burden of COVID-19 cases and deaths. They show particularly large disparities in cases and deaths for Black and AIAN people and widespread disparities in cases among Hispanic people compared to their White counterparts. Data also reveal disparities for Asian and NHOPI individuals in certain areas and show a sharp recent rise in mortality rates for NHOPI and Hispanic people. There is limited data and research to understand of impacts for subgroups, such as immigrants, who may be at increased risk.

  • People of color are experiencing significantly higher rates of infections and deaths compared to White individuals. For example, analysis of state-reported data finds that, as of August 4, COVID-19 related death rates among Black people were over twice as high as the rate for White people, while the mortality rate for AIAN people was nearly two times that of White people (Figure 1). These data also show a sharp recent rise in mortality rates for NHOPI and Hispanic people. Reporting based on county-level data found that Black and Hispanic people are nearly three times as likely to contract COVID-19 and nearly two times as likely to die from COVID-19. It also found several areas where AIAN individuals were significantly more likely to be infected compared to White people as well as some higher risk of infection among Asian people. Other data show that, in states with large numbers of NHOPI people, they have higher infection rates compared to other racial and ethnic groups, and that Asian people are experiencing a higher case fatality rate than average in a number of areas across the country. Further, a study using data from a health system in the Baltimore-Washington DC region found that Hispanics had a higher infection rate compared to other groups.
Figure 1: COVID-19 Mortality Rates by Race/Ethnicity, as of August 4, 2020
  • Disparities for Black and Hispanic people are widespread across the country. For example, KFF analysis of state reported data showed that, as of August 3, 2020, Black individuals accounted for more cases and deaths relative to their share of the population in 30 of 49 states reporting cases and 34 of 44 states reporting deaths (Figure 2). Hispanic people made up a higher share of cases and deaths compared to their share of the total population in 35 of 45 states reporting cases and 10 of 44 states reporting deaths. County-level data also suggest that disparities in infection rates for Black and Hispanic people are widespread across counties. The state and county-level data also point to stark disparities for AIAN and Asian people but in a more limited number of areas.
Figure 2: Ratio of Coronavirus Deaths to Share of Total Population among Black People by State as of August 3, 2020
  • County-level analysis finds that cases and deaths are concentrated in areas with higher shares of Black and Hispanic residents. One study of nationwide county-level data found that higher shares of Black people living in a county are associated with increased shares of COVID-19 cases and deaths in the county, as well as a positive correlation between the share of Asian residents and the county infection and mortality rate. Other analysis finds that, as of April, 97% of disproportionately Black counties (with a greater share of Black residents compared to the U.S. average) reported a case and 49% reported a death versus 81% and 28%, respectively, for other counties. These disparities persisted after adjusting for county-level characteristics such as percent of the population older than 65, unemployment, health insurance coverage status, comorbidities, days since first case of diagnosis, and urbanicity. Overall, the roughly 20% of U.S. counties that are disproportionately Black accounted for 52% of COVID-19 diagnoses and 58% of deaths nationally during the first several months of the U.S. epidemic. In addition, another analysis finds that, as of August 3, 8 of the 20 counties with the highest level of deaths per capita are predominantly Black, and three of the five counties with the highest per capita death rates are predominantly Black. Similarly, a study of ten major metropolitan areas found that counties with larger shares of Latino residents have disproportionate shares of cases. Additional work finds that, among both counties with higher median county-level income and lower median county-level income, higher shares of people of color were associated with higher rates of infection and death compared to counties that have higher shares of White residents (>81%).

Disparities in COVID-19 deaths for people of color persist across age groups, and people of color experience more deaths among younger people relative to White individuals. Researchers examining federally reported data find increased risk of death due to COVID-19 among Black, Hispanic, AIAN, and Asian and Pacific Islander people as compared to their White counterparts across age groups, with particularly large disparities among younger adults age 25-54. The study also found that Black and Hispanic populations lost more years of total potential life due to COVID-19 compared to the White population, even though the White population is three to four times larger. Other analysis finds that disparities in deaths widen for all groups of color after adjusting for age. CDC analysis of data for roughly 11,000 COVID-19 deaths in 16 public health jurisdictions found that over one in three (35%) deaths among Hispanic people and 30% of deaths among people of color were among those under age 65, compared to 13% of deaths among White people. Additionally, the median age of individuals dying from COVID-19 was 9 to 10 years younger among people of color.

Hospitalizations

Black and Hispanic people have higher hospitalization rates compared to their White counterparts. Data from COVID-NET show that, from March 1 through July 18, age-adjusted hospitalization rates due to COVID-19 for Black, Hispanic, and AIAN people were each roughly 5 times higher than that of White people (Figure 3). Another analysis of patients at a large hospital system in Boston who tested positive for COVID-19 found that a higher proportion of Hispanic patients were hospitalized compared to Black or White patients, particularly among those under age 60. In contrast, a study of patients tested at a health system in the Baltimore-Washington DC found a higher positivity rate among Latino patients but a lower hospital admission rate among Latino patients who tested positive. Latino patients who were hospitalized were younger, more likely to be male, and had fewer comorbidities compared to White or Black patients. Studies using data from an academic health system in Atlanta, Georgia, a large health system in California, and a health system in Chicago all find that Black patients are at higher risk for hospitalization. Reflecting these higher rates, several studies also found that people of color make up a disproportionate share of COVID-19 hospitalizations relative to their share of the population or total hospital visits. For example, earlier data from COVID-NET based on 580 hospitalizations as of March 2020 show that Black people accounted for more hospitalized COVID-19 patients compared to their share of the population in the area studied (33% vs. 18%). A study using data from a large health system in Louisiana found that Black people accounted for over three-quarters of patients who were hospitalized with COVID-19 (77%) and over 71% of in-hospital deaths, compared to just 31% of the total patient population.

Figure 3: Age-adjusted COVID-19 Associated Hospitalization Rates by Race and Ethnicity, March 1 – July 18, 2020

Disparities among Specific Populations

Studies also find racial/ethnic disparities in COVID-19 cases and/or deaths among Medicare beneficiaries, nursing facilities, pregnant women, and children.

  • Preliminary Medicare claims and encounter data based on services from January 1 through June 20, 2020 show higher rates of infection and hospitalization due to COVID-19 among Black, Hispanic, and AIAN Medicare beneficiaries compared to White beneficiaries (Figure 4).
Figure 4: Rates of COVID-19 Cases and Hospitalizations among Medicare Beneficiaries
  • Analysis of nursing home facilities found that having a greater share of Black residents was associated with increased probability of having a COVID-19 case. Other reporting also has found that nursing homes where a higher share of residents are people of color are more likely to report a COVID-19 case.
  • One study found that Hispanic and Black pregnant women accounted for a disproportionate share of confirmed cases relative to their share of women who gave birth in 2019 (46% vs. 24% and 22% vs 15%, respectively).
  • CDC analysis of COVID-19 hospitalization data from 14 states found that, although the overall COVID-19 associated hospitalization rate for children is low, hospitalization rates for Hispanic and Black children were nearly eight times and five times higher than the rate for White children, respectively. Early data from a COVID-19 clinic in Chicago also suggest that Black children are at higher risk of infection. Similarly, a study of children tested at a pediatric community-based free testing site found that Black and Hispanic children had higher rates of infection, that these differences persisted after controlling for age, sex, and median family income, and that positivity rates among Hispanic children increased over time.

Testing

Data to understand variation in testing by race/ethnicity remains very limited. Very few states (5 as of July 2020) report testing data by race/ethnicity. Data on testing within community health centers show that people of color represented more than half of all people tested (57%) and confirmed cases (56%) at health centers, and that Hispanic patients made up a higher share of positive tests compared to their share of total tested patients. Reporting on testing site locations suggests that testing sites in and near predominantly Black and Hispanic neighborhoods are likely to face greater demand than those near predominantly White areas, which could contribute to longer wait times. Other research finds that the share of people of color in an area is associated with an increase in travel time to a testing site. Similarly, analysis of data from New York City found that more tests were performed in neighborhoods with higher shares of White residents, but that the highest proportion of positive tests were in neighborhoods with more people of color and lower socioeconomic measures. Reporting on testing site locations in Texas found that in four of the six largest cities testing sites are disproportionately located in census tracts where the share of White residents is greater than the city median.

Looking ahead

Together, these data show that people of color are bearing a disproportionate burden of COVID-19 cases, deaths, and hospitalizations and that they may face increased barriers to access testing. Other analyses also suggest that the COVID-19 pandemic is taking a larger economic toll on people of color. These disparities in COVID-19 reflect and compound longstanding underlying social, economic, and health inequities that stem from structural and systemic barriers across sectors, including racism and discrimination. Researchers across the studies suggest that these underlying disparities put people of color at increased risk for exposure to the virus, experiencing serious illness if they are infected, and facing barriers to accessing testing and treatment. For example, their living and employment situations make it more difficult to social distance, as they are more likely to work in jobs that cannot be done at home, more likely to use public transportation, and more likely to live in larger households. Variation in access to testing, delays in seeking care due to lack of insurance and other access barriers, as well as higher rates of underlying health conditions may contribute to more serious illness among individuals if they are infected and individuals being in more serious condition when they do seek care, which could contribute to higher rates of hospitalization and death.

While these data and analysis provide important insights into the disparate impacts of COVID-19, there remain significant data gaps and limitations that point to the importance of continued efforts to increase the availability of COVID-19 data by race and ethnicity. Data on testing may grow as, under the CARES Act and guidance from HHS, all laboratories or other facilities performing COVID-19 testing must report data to HHS and “make every reasonable effort” to collect and report demographic data, including race/ethnicity, starting August 1. However, continued efforts will be required to provide for timely, complete, and comparable data that allow for better understanding of COVID-19 impacts overall and particularly for smaller population groups, such as AIAN and NHOPI individuals as well as among ethnic groups. These data are key for understanding impacts across communities, guiding response and relief efforts, and providing for equitable access to treatments and vaccines as they are developed.

The health and economic impacts of COVID-19 could further widen racial/ethnic disparities at a time when there is a growing focus on and call for racial justice and health equity. Overall, the findings highlight the importance of considering how COVID-19 relief and response efforts will address inequities, including in decisions related to distribution of treatments and vaccines once they become available. Prioritizing equity will be key for addressing the current gaps in COVID-19 and health care more broadly and preventing widening of disparities in the future.

Appendix

Appendix A

Table 1: Federal Data Sources on COVID-19 and Race/Ethnicity
SourceTitleDescriptionLevel
Public Data from the Federal Government
CDCCDC COVID Data TrackerProvides information on cases and deaths by race/ethnicity. Race/ethnicity data can also be stratified by age group (updated daily).National
CDCProvisional Death Counts for Coronavirus Disease (COVID-19)Contains multiple data sets from the National Vital Statistics System’s COVID-19 Surveillance Data Files, including provisional death counts by race/ethnicity and deaths involving coronavirus by race/ethnicity and age (race data updated weekly).State and National
CDCCOVID-NET: COVID-19 Laboratory-Confirmed HospitalizationsSummary of COVID-19 hospitalizations. In addition to race/ethnicity, figures are stratified by multiple demographic characteristics (updated biweekly).National
CMSPreliminary Medicare COVID-19 Data SnapshotCounts of Medicare beneficiaries of COVID-19 cases and hospitalizations by several measures, including race/ethnicity at the national level (updated monthly).State and National
HRSAHealth Center COVID-19 SurveyRapid response survey of community health centers on a range of issues related to COVID-19, included testing data by race/ethnicity (updated weekly).State and National

Appendix B: References

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Hannah R. Abrams et al., “Characteristics of U.S. Nursing Homes with COVID ‐19 Cases”, Journal of the American Geriatrics Society, (June 2, 2020), available at https://doi.org/10.1111/jgs.16661.

Sindhura Bandi, M.Z. Nevid, M. Mahdavinia, “African American children are at higher risk of COVID‐19 infection”, Pediatric Allergy and Immunology (May 29, 2020), available at https://doi.org/10.1111/pai.13298.

Sean McMinn et al. “In Large Texas Cities, Access To Coronavirus Testing May Depend On Where You Live”, NPR, May 27, 2020, accessed August 11, 2020, https://www.npr.org/sections/health-shots/2020/05/27/862215848/across-texas-black-and-hispanic-neighborhoods-have-fewer-coronavirus-testing-sit.

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Uma V Mahajan and Margaret Larkins-Pettigrew, “Racial demographics and COVID-19 confirmed cases and deaths: a correlational analysis of 2886 US counties”, Journal of Public Health (May 21, 2020), available at 10.1093/pubmed/fdaa070.

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Benjamin Rader et al., “Geographic access to United States SARS-CoV-2 testing sites highlights healthcare disparities and may bias transmission estimates”, Journal of Travel Medicine (May 15, 2020), available at https://doi.org/10.1093/jtm/taaa076.

Gregorio A. Millett et al., “Assessing Differential Impacts of COVID-19 on Black Communities”, Annals of Epidemiology 47 (May 14, 2020), available at https://doi.org/10.1016/j.annepidem.2020.05.003.

Joseph Keawe‘aimoku Kaholokula et al., “COVID-19 Special Column: COVID-19 Hits Native Hawaiian and Pacific Islander Communities the Hardest”, Hawai’i Journal of Health & Social Welfare, 29 no. 5 (May 1, 2020), available at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226312/#.

Shikha Garg et al. “Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019 — COVID-NET, 14 States, March 1–30, 2020”, Morbidity and Mortality Weekly Report 69, no. 15 (April 17, 2020), available at https://www.cdc.gov/mmwr/volumes/69/wr/mm6915e3.htm.

Endnotes

  1. Studies that estimated cases or deaths were excluded. ↩︎

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