[The comparative analysis of health care systems].

Within the framework of the national development goal of the Russian Federation "preservation of population, health and well-being of people" the target indicator "the increase of life expectancy up to 78 years" is to be achieved by 2030. The achievement of this value is also directly affected by functioning of of health care system. In 2015, the United Nations, within the framework of the Sustainable Development Goals for the period up to 2030, formulated the task that implies ensuring of universal health services coverage "including financial risk security, access to qualitative essential medical and sanitary services and access to safe, effective, qualitative and inexpensive essential medications and vaccines for all". In the course of the study, methodology was developed that permitted to calculate values of performance indicators of main health care systems (financial support and infrastructure development) and to conduct comprehensive comparative analysis with values of particular public health indicators. The study results confirmed possibility of such comparisons. The stable direct relationship between such indicators as "current health expenditure (CHE) per capita", "current health expenditure (CHE) as percentage of gross domestic product (GDP)", "UHC Service Coverage Index", "life expectancy" was revealed. The inverse dependency between such indicators as "out-of-pocket expenditure as percentage of current health expenditure (CHE)" and "UHC Service Coverage Index" as well as between "UHC Service Coverage Index" and "total NCD mortality rate" and "probability of premature dying from non-infectious diseases" was determined.

The cost of proband and trio exome and genome analysis in rare disease: A micro-costing study.

PURPOSE: Rare disease genomic testing is a complex process involving various resources. Accurate resource estimation is required for informed prioritization and reimbursement decisions. This study aims to analyze the costs and cost drivers of clinical genomic testing. METHODS: Based on genomic sequencing workflows we microcosted limited virtual panel analysis on exome sequencing backbone, proband and trio exome, and genome testing for proband and trio analysis in 2023 Australian Dollars ($). Deterministic and probabilistic sensitivity analyses were undertaken. RESULTS: Panel testing costs AUD $2373 ($733-$6166), and exome sequencing costs $2823 ($802-$7206) and $5670 ($2006-$11,539) for proband and trio analysis, respectively. Genome sequencing costs $4840 ($2153-$9890) and $11,589 ($5842-$16,562) for proband and trio analysis. The most expensive cost component of genomic testing was sequencing (36.9%-69.4% of total cost), with labor accounting for 27.1%-63.2% of total cost. CONCLUSION: We provide a comprehensive analysis of rare disease genomic testing costs, for a range of clinical testing types and contexts. This information will accurately inform economic evaluations of rare disease genomic testing and decision making on policy settings that assist with implementation, such as genomic testing reimbursement.

Pharmacy Benefit Managers in the Eye of the Storm: Growing Multipartite Scrutiny.

The high cost of prescription drugs in the U.S. remains an ongoing national challenge. A recurring focal point in discussions over this distressing steady state is the role(s) played by Pharmacy Benefit Managers (PBMs) who negotiate drug prices with pharmaceutical manufacturers, conduct drug utilization reviews, engage in disease management, and see to formulary creation. At their inception, the multiple newly established PBMs were arguably intent on constraining the rise of prescription drug prices. At the time of this writing, however, the lion share of a far less competitive PBM market is controlled by CVS Caremark, Express Scripts, and OptumRx. It is this evolving reality which could be interpreted to mean that the PBMs may have become part of the problem, rather than part of the solution. Expanded scrutiny of the PBMs by Federal and State authorities as well as by Professional Medical Associations must not be delayed with an eye toward affording the public with relief from the high cost of prescription drugs.

Medicare Advantage: Growth Amidst Mounting Scrutiny.

The Medicare Advantage Program, home to nearly half of the eligible Medicare population, has recently come under increased scrutiny. The Government Accountability Office called on the Centers for Medicare & Medicaid Services to monitor "disenrollment of MA beneficiaries in the last year of life, validate MA-provided encounter data, and strengthen audits used to identify and recover improper payments to MA plans." The House Subcommittee on Oversight and Investigations of the Committee on Energy & Commerce, dedicated a hearing to "Protecting America's Seniors: Oversight of Private Sector Medicare Advantage Plans." In addition, a recently conducted audit of the Office of the Inspector General of the Department of Health and Human Services raised concerns over "denials of prior authorization requests" and "beneficiary access to medically necessary care." In this article we consider the backdrop for the growing scrutiny of the MA program and the implications thereof to its future trajectory.

Financial incentives and health provider behaviour: Evidence from a capitation policy in Ghana.

The capitation payment model has been used as a supply-side cost-containment tool in controlling physician behaviour. However, little is known regarding its effectiveness in controlling costs and discouraging use of low-value care. This study seeks to examine whether financial incentives in capitation influence provider behaviour, and if so, whether such behaviour compromises outcomes for inpatients with hypertension. To this end, we evaluate the effect on outpatient visits and inpatient outcomes of the introduction of capitation into a mixed payment system involving diagnosis-related groups and fee-for-service in the Ashanti region of Ghana. We use difference-in-differences with fixed effects and event study analysis of claims data over 48 months (2016-2019). We found that providers responded to financial incentives in capitation; outpatient visits were approximately 35% lower. However, we found no significant impact of capitation on inpatient outcomes; that is, the in-hospital death rate did not increase, and the length of hospital stay (which may be a rough indicator of the severity of illness) also did not increase. These findings indicate that patient health outcomes did not deteriorate. Evidence suggests that the observed reduction in outpatient visits may be in unnecessary or low-value visits, especially at lower levels of the healthcare system.

Oral health status and coverage of oral health care: A five-country comparison.

Oral health has received increased attention in health services research and policy. This study aims to assess oral health outcomes and public coverage of oral health services in Belgium, Denmark, Germany, the Netherlands, and Spain. Various indicators were used to compare oral health outcomes concerning the most common disorders by age group. Coverage of oral health services was analyzed according to the dimensions of the WHO Universal Coverage Cube. The results showed major differences in the coverage of services for the adult population: coverage was most comprehensive in Germany, followed by Belgium and Denmark. In Spain and the Netherlands, public coverage was limited. Except in Spain, coverage of oral health services for children was high, although with some differences between countries. Regarding oral health outcomes measured by the T-Health index, no country showed outstanding results across all age groups. While Denmark, the Netherlands, and Spain performed above average among 5- to 7-year-olds, Denmark and Germany performed above average among 12- to 14-year-olds, the Netherlands, Spain, and Belgium among 35- to 44-year-olds, and Belgium and the Netherlands among 65- to 74-year-olds. The selection of countries of this study was limited due to the availability and quality of oral health data demonstrating the urgent need for the European member states to establish corresponding databases.

Satisfaction with primary health care in Ukraine in 2016-2020: A difference-in-differences analysis on repeated cross-sectional data.

The aim of this study is to examine the general satisfaction with primary health care services in Ukraine among service users and nonusers before and after the implementation of the capitation reform in 2017-2020. Data from a repeated cross-sectional household survey 'Health Index. Ukraine' in 2016-2020 were used. The survey had a sample size of over 10 000 participants per survey round. Effects were estimated using difference-in-differences methods based on matched samples. Our findings show that in general, respondents are 'rather satisfied' with the services of district/family doctors and pediatricians. Satisfaction with family doctors comprised 72.1 % (users) and 69.2 % (nonusers) in 2016; and 75.3 % and 71.9 % in 2020. For pediatrician services, these shares were 73.6 % (users) and 71.1 % (nonusers) in 2016; 74.7 % and 70.2 % in 2020. Our study also revealed an increase in satisfaction with the district/family doctor over time. However, this does not seem to be due to the reform. The results for pediatrician services were mixed. Why satisfaction with primary care is fairly high and slightly increasing over time is unclear. However, we offer several possible explanations, such as low expectations of primary health care, subjective perception of quality of health care services, improved access and affordability, and general improvements in primary health care settings not directly linked to the reform.

Effects of state reinsurance programs on health insurance exchange premiums and insurer participation.

OBJECTIVE: The aim of the study was to estimate the effect of the state-based reinsurance programs through the section 1332 State Innovation Waivers on health insurance marketplace premiums and insurer participation. DATA SOURCE: 2015 to 2022 Robert Wood Johnson Foundation Health Insurance Exchange Compare Datasets. STUDY DESIGN: An event study difference-in-differences (DD) model separately for each year of implementation and a synthetic control method (SCM) are used to estimate year-by-year effects following program implementation. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: Reinsurance programs were associated with a decline in premiums in the first year of implementation by 10%-13%, 5%-19%, and 11%-17% for bronze, silver, and gold plans (p < 0.05). There is a trend of sustained declines especially for states that implemented their programs in 2019 and 2020. The SCM analyses suggest some effect heterogeneity across states but also premium declines across most states. There is no evidence that reinsurance programs affected insurer participation. CONCLUSION: State-based reinsurance programs have the potential to improve the affordability of health insurance coverage. However, reinsurance programs do not appear to have had an effect on insurer participation, highlighting the need for policy makers to consider complementary strategies to encourage insurer participation.

How All-Payer Claims Databases (APCDs) Can be Used to Examine Changes in Professional Spending: Experience from the Rhode Island APCD.

States are increasingly the focus of health care spending reform efforts given political deadlock at the federal level. Using the Rhode Island All-Payer Claims Database (APCD) from 2016 to 2019, a modified National Uniform Claim Committee (NUCC) provider taxonomy, and the 2021 Restructured BETOS Classification System (RBCS), we evaluate professional spending trends in commercial and Medicaid populations, identify specialties and clinical service categories driving trends, and examine price and volume contributions to spending changes. We found that professional spending from 2016-2019 in Medicaid is increasing faster than professional spending in commercial (5.2% vs. 2.7% annually). We also found that nurse practitioner and physician assistant evaluation and management (E&M), behavioral health services E&M, anesthesia, diagnostic radiology imaging, and orthopedic procedures were among the largest areas of spending increase during the study period in Rhode Island. Three-year trends showed heterogeneity in whether volume or price was primarily responsible for these spending increases.

Policy implications of fixed-to-total-cost ratio variation across rural and urban hospitals.

PURPOSE: Hospitals with lower fixed-to-total-cost ratios may be better positioned to remain financially viable when reducing service volumes required by many value-based payment systems. We assessed whether hospitals in rural areas have higher fixed-to-total-cost ratios, which would tend to create a systematic disadvantage in such an environment. METHODS: Our observational study used a mixed-effects, repeated-measures model to analyze Medicare Hospital Cost Report Information System data for 2011-2020. We included all 4,953 nonfederal, short-term acute hospitals in the United States that are present in these years. After estimating the relationship between volume (measured in adjusted patient days) and patient-care costs in a model that controlled for a small number of hospital characteristics, we calculated fixed-to-total-cost ratios based on our model's estimates. FINDINGS: We found that nonmetropolitan hospitals tend to have higher average fixed-to-total-cost ratios (0.85-0.95) than metropolitan hospitals (0.73-0.78). Moreover, the degree of rurality matters; hospitals in micropolitan counties have lower ratios (0.85-0.87) than hospitals in noncore counties (0.91-0.95). While the Critical Access Hospital (CAH) designation is associated with higher average fixed-to-total-cost ratios, high fixed-to-total-cost ratios are not exclusive to CAHs. CONCLUSIONS: Overall, these results suggest that hospital payment policy and payment model development should consider hospital fixed-to-total-cost ratios particularly in settings where economies of scale are unattainable, and where the hospital provides a sense of security to the community it serves.

Century-Long Trends in the Financing and Ownership of American Health Care.

Policy Points Over the past century, the tax-financed share of health care spending has risen from 9% in 1923 to 69% in 2020; a large part of this tax financing is now the subsidization of private health insurance. For-profit ownership of health care facilities has also increased in recent decades and now predominates for many health subsectors. A rising share of physicians are now employees. US health care is, increasingly, publicly financed yet investor owned, a trend that has been accompanied by rising medical costs and, in recent years, stagnating or even worsening population health. A reconsideration of US health care financing and ownership appears warranted. CONTEXT: Who pays for health care-and who owns it-determine what care is delivered, who receives it, and who profits from it. We examined trends in health care ownership and financing over a century. METHODS: We used multiple historical and current data sources (including data from the American Medical Association, the American Hospital Association, government publications and surveys, and analyses of Medicare Provider of Services files) to classify health care provider ownership as: public, private (for-profit), and private (not-for-profit). We used US Census data to classify physicians' employers as public, not-for-profit, or for-profit entities or "self-employed." We combined estimates from the official National Health Expenditures Accounts with other data sources to determine the public vs. private share of health care spending since 1923; we calculated a "comprehensive" public share metric that accounted for public subsidization of private health expenditures, mostly via the tax exemption for employer-sponsored insurance plans or government purchase of such plans for public employees. FINDINGS: For-profit ownership of most health care subsectors has risen in recent decades and now predominates in several (including nursing facilities, ambulatory surgical facilities, dialysis facilities, hospices, and home health agencies). However, most community hospitals remain not-for-profit. Additionally, over the past century, a growing share of physicians identify as employees. Meanwhile, the comprehensive taxpayer-financed share of health care spending has increased dramatically from 9% in 1923 to 69% in 2020, with taxpayer-financed subsidies to private expenditures accounting for much of the recent growth. CONCLUSIONS: American health care is increasingly publicly financed yet investor owned, a trend accompanied by rising costs and, recently, worsening population health. A reassessment of the US mode of health care financing and ownership appears warranted.

Does prospective payment influence quality of care? A systematic review of the literature.

In the light of rising health expenditures, the cost-efficient provision of high-quality inpatient care is on the agenda of policy-makers worldwide. In the last decades, prospective payment systems (PPS) for inpatient care were used as an instrument to contain costs and increase transparency of provided services. It is well documented in the literature that prospective payment has an impact on structure and processes of inpatient care. However, less is known about its effect on key outcome indicators of quality of care. In this systematic review, we synthesize evidence from studies investigating how financial incentives induced by PPS affect indicators of outcome quality domains of care, i.e. health status and user evaluation outcomes. We conduct a review of evidence published in English, German, French, Portuguese and Spanish language produced since 1983 and synthesize results of the studies narratively by comparing direction of effects and statistical significance of different PPS interventions. We included 64 studies, where 10 are of high, 18 of moderate and 36 of low quality. The most commonly observed PPS intervention is the introduction of per-case payment with prospectively set reimbursement rates. Abstracting evidence on mortality, readmission, complications, discharge disposition and discharge destination, we find the evidence to be inconclusive. Thus, claims that PPS either cause great harm or significantly improve the quality of care are not supported by our findings. Further, the results suggest that reductions of length of stay and shifting treatment to post-acute care facilities may occur in the course of PPS implementations. Accordingly, decision-makers should avoid low capacity in this area.

Households Health Care Financing Methods: Social Status Differences, Economic Implications and Clinical Outcomes Among Patients Admitted in a Pediatric Emergency Unit of a Tertiary Hospital in South West Nigeria.

Background. The affordability of health care services by households within a country is determined by the health care financing methods used by her citizens. In accordance with World Health Organization (WHO), health services must be delivered equitably and without imposing financial hardship on the citizens. Aim. This study aimed to determine the pattern of households health care financing method and relate it to the social-background, economic implication and clinical outcome of care in pediatric emergency situations. Method: It is a cross-sectional descriptive study. Result. 210 children from different households were recruited. Majority (75.9%) of the children were aged 0 to 5 years, males (61.2%) and belonged to the low socio-economic status (95.7%). The overall median (IQR) cost of care, income and percentage of income spent on care were ₦10 700 (₦7580-₦19 700), ₦ 65000(₦38000-₦110 000) and 17.6% (7.1%-39.7%) respectively. Though 70 (34.8%) of the respondents were aware of health insurance scheme, only 12.8% were enrolled. There were significant differences in the households' health care financing methods with respect to the socioeconomic status (P = .010), paternal level of education (P < .001), maternal occupation (P = .020), paternal occupation (P = .030) and distribution of income (P < .001). Catastrophic spending was experienced by 67.4% of the household, all of whom paid via out-of-pocket payment (OOPP) (P < .001), catastrophic health spending (CHS) was significantly associated with death and discharge against medical advice (DAMA) (P = .023). All cases of mortality and 93% cases of DAMA occurred with paying out of pocket (OOP) (P = .168). Conclusion. health care services were majorly paid for OOP among households in this study and CHS are high among these households. Clinical and financial outcomes were worse when health care services were paid through OOP.

Medicare advantage and dialysis facility choice.

OBJECTIVE: To compare the characteristics of dialysis facilities used by traditional Medicare (TM) and Medicare advantage (MA) enrollees with end-stage kidney disease (ESKD). DATA SOURCES: We used 20% TM claims and 100% MA encounter data from 2018 and publicly available data from the Centers for Medicare and Medicaid Services. STUDY DESIGN: We compared the characteristics of the dialysis facilities treating TM and MA patients in the same ZIP code, adjusting for patient characteristics. The outcome variables were facility ownership, distance to the facility, and several measures of facility quality. DATA COLLECTION/EXTRACTION: We identified point prevalent dialysis patients as of July 15, 2018. PRINCIPAL FINDINGS: Compared to TM patients in the same ZIP code, MA patients were 1.84 percentage points more likely to be treated at facilities owned by the largest two dialysis organizations and 1.85 percentage points less likely to be treated at an independently owned facility. MA patients went to further and lower quality facilities than TM patients in the same ZIP code. However, these differences in facility quality were modest. For example, while the mean dialysis facility mortality rate was 21.85, the difference in mortality rates at facilities treating MA and TM patients in the same ZIP code was 0.67 deaths per 100 patient-years. Similarly, MA patients went to facilities that were, on average, 0.15 miles further than TM patients in the same ZIP code. CONCLUSION: MA enrollees with ESKD were more likely than TM enrollees in the same ZIP code to use the dialysis facilities owned by the two largest chains, travel further for care, and receive care at lower quality facilities. While the magnitude of differences in facility distance and quality was modest, the direction of these results underscores the importance of monitoring dialysis network adequacy as ESKD MA enrollment continues to grow.

The Design of the RAND Health Insurance Experiment: A Retrospective.

This article, prepared as part of a special issue on multiarmed experiments, describes the design of the RAND Health Insurance Experiment, paying particular attention to the choice of arms. It also describes how the results of the Experiment were used in a simulation model and, looking back, how the design might have differed, and how the results apply today, 4 decades after the Experiment was conducted.

Radiologists Help Each Other to Improve Efficiency by Decreasing the Time to Look Up a Patient's Relevant Clinical History in the Electronic Medical Record.

The study aims to prove that it takes less time to look up relevant clinical history from an electronic medical record (EMR) if the information is already provided in a specific space in the EMR by a fellow radiologist. Patients with complex oncological and surgical histories need frequent imaging, and every time a radiologist may spend a significant amount of time looking up the same clinical information as their peers. In collaboration with ACMIO and Radiant Epic team, a space labeled "Specialty Comments" was added to the SNAPSHOT of patient's chart in EMR. For our research purpose, the specialty comment was labeled as boxed history as a variable for data analysis. If the history was not provided in that particular space, it was labeled as without boxed history. Inclusion criteria included outpatients with complex oncological histories undergoing CT chest, abdomen, and pelvis with IV contrast. The time to look up history (LUT) was documented in minutes and seconds. Two assistant professors from Abdominal Imaging provided LUT. A total of 85 cases were included in the study, 39 with boxed history and 46 without boxed history. Comparing averages of the individual reader means for history, mean LUT differed by 2.03 min (without boxed history) versus 0.57 min (with boxed history), p < 0.0001. The t-test and the nonparametric Wilcoxon tests for a difference in the population means were highly significant (p < 0.0001). A history directed to radiologist's needs resulted in a statistically significant decrease in time spent by interpreting radiologists to look through the electronic medical records for patients with complex oncological histories. Availability of history pertinent to radiology has wide-ranging advantages, including quality reporting, decrease in turnaround time, reduction in interpretation errors, and radiologists' continued learning. The space for documenting clinical history may be reproduced, or some similar area may be developed by optimizing the electronic medical records.

[The experience of Japan: the application of the intersectoral balance methodology to control health care costs as a factor of mobilization readiness of health care to COVID-19 pandemic].

One of possible reasons for success of Japan in confronting the COVID-19 pandemic (low mortality rates, refusal of hard lock-downs and relatively low fall in economy) is seen in record high (3-4 times higher than in most other developed countries) provision of hospital beds. Its financing was supported during first 2 decades of the XXI century by the policy of relative to GDP advanced growth of public health public expenditures based on assessment of multiplier impact of these expenditures on demand, production and employment in other sectors of the economy using the intersectoral balance method based on "input-output" tables.Purpose of the study is to analyze Japan's economic policy in managing budgetary health care costs.The comprehensive statistical, comparative and retrospective analysis of available data was applied.The study results permit to suggest that high provision of the Japan population with hospital care resources and low mortality rates in 2022 prior to development of vaccines and effective treatment schemes for COVID-19 can be explained, among other things, by long-term policy of managing health care costs using assessment of their effect on production growth, demand and employment in other economy sectors using intersectoral balance method based on regular compilation of "input-output" tables.The data obtained permits to characterize as promising approach of the Japanese government to management of health care costs using assessment of their effect on production growth, demand and employment in other sectors of the economy using intersectoral balance method based on the regular compilation of "input-output" tables. This approach permitted to increase up to 1.5 times health care costs during 2005-2018 in situation of chronic stagnation of the national economy and thus to avoid world-wide trend towards reduction of hospital bed stock and after the start of pandemic severe shortage of hospital beds. The positive experience of Japan is confirmed by encouraging results of 2 pilot projects in the EU countries on applying the intersectoral balance method to assess the multiplier effect of health care costs in 2017-2018. It is considered that using the experience of Japan in managing budgetary health care expenditures through intersectoral balance method is challenging.

Gender Variations and Inequity in Health Care Financing: Evidence from Southeast Nigeria.

Health care is central to sustainable development, but it is underfunded in many developing countries such as Nigeria. This study empirically examined gender variations and inequity in health care financing in Southeast Nigeria. To decompose the Gini coefficient and analyze inequity by gender and differences in health care financing among states in the region, Dagum's approach for decomposition of the Gini coefficient is used. Empirical results showed that gender inequity exists in health care financing in Southeast Nigeria. In addition, variations in health care financing inequity among states in the Southeast region were found. Based on the foregoing, the study recommends that when implementing health care financing reforms, different population groups be covered in order to achieve the broader equity and effectiveness goals. Furthermore, governments in various states should step up efforts to assist disadvantaged and oppressed communities, such as poor indigenous people, in terms of health care utilization, which could reduce the health care financing burden.

Financing of Rare Diseases and Orphan Drugs in A Sanctioned Country: A Qualitative Study.

Background: Rare diseases-related services, care, and drugs (Orphan Drugs) in a lower-middle-income country such as Iran with international limitations due to the sanctions is a challenging issue in terms of their financing and providing. This study aims to address financing issues related to rare diseases in a lower-middle-income country that is under international sanctions. Methods: This is a qualitative study that has been conducted through 14 interviews with experts from different stakeholders in the country to find the challenges of financing rare diseases and orphan drugs in Iran through a content analysis according to Mayring's approach. We accomplished this study based on the World Health Organization's universal health coverage model. Results: We achieved four themes and 12 sub-themes. The themes are the unstable and sanctioned economy including 4 sub-themes; extending the covered population by the social security net in the country including 2 sub-themes; reducing the cost-sharing for the covered population including 4 sub-themes; including more orphan drugs and services including 2 sub-themes. Conclusion: The financing of rare diseases and orphan drugs in Iran is challenged by several contextual and internal factors. The political issues seem to have the main contribution of the challenge to develop an efficient and effective financing mechanism for rare diseases and orphan drugs. This is especially can be related to the politicians' commitments and pursuing an effective plan to allocate the financial resources to rare diseases. However, the country's economic situation, especially at the macro level because of international limitations, has intensified the problem.

The association of strained ICU capacity with hospital patient racial and ethnic composition and federal relief during the COVID-19 pandemic.

OBJECTIVE: To identify the association between strained intensive care unit (ICU) capacity during the COVID-19 pandemic and hospital racial and ethnic patient composition, federal pandemic relief, and other hospital characteristics. DATA SOURCES: We used government data on hospital capacity during the pandemic and Provider Relief Fund (PRF) allocations, Medicare claims and enrollment data, hospital cost reports, and Social Vulnerability Index data. STUDY DESIGN: We conducted cross-sectional bivariate analyses relating strained capacity and PRF award per hospital bed with hospital patient composition and other characteristics, with and without adjustment for hospital referral region (HRR). DATA COLLECTION: We linked PRF data to CMS Certification Numbers based on hospital name and location. We used measures of racial and ethnic composition generated from Medicare claims and enrollment data. Our sample period includes the weeks of September 18, 2020 through November 5, 2021, and we restricted our analysis to short-term, general hospitals with at least one intensive care unit (ICU) bed. We defined "ICU strain share" as the proportion of ICU days occurring while a given hospital had an ICU occupancy rate ≥ 90%. PRINCIPAL FINDINGS: After adjusting for HRR, hospitals in the top tercile of Black patient shares had higher ICU strain shares than did hospitals in the bottom tercile (30% vs. 22%, p < 0.05) and received greater PRF amounts per bed ($118,864 vs. $92,407, p < 0.05). Having high versus low ICU occupancy relative to pre-pandemic capacity was associated with a modest increase in PRF amounts per bed after adjusting for HRR ($107,319 vs. $96,627, p < 0.05), but there were no statistically significant differences when comparing hospitals with high versus low ICU occupancy relative to contemporaneous capacity. CONCLUSIONS: Hospitals with large Black patient shares experienced greater strain during the pandemic. Although these hospitals received more federal relief, funding was not targeted overall toward hospitals with high ICU occupancy rates.