BACKGROUND: As a result of the success of Maryland\'s full risk capitated payment model experiment (Global Budget Revenue) in constraining healthcare costs, there is momentum for expanding the reach of such models. However, as these models are implemented, studies analyzing their long-term effects suggest unintended spillover effects that may ultimately influence patient experiences. The aim of this study was to determine whether implementation of the GBR was associated with changes in patient experience.
METHODS: Cross-sectional study using a difference-in-difference analysis to examine changes in patient experiences according to the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) domains before and after implementation of the GBR model. Acute care hospitals from 2010-2016 with completed HCAHPS surveys were included. Hospitals identified for inclusion were then matched, based on county location, to area level characteristics using the Area Health Resource File.
RESULTS: A total of 844 hospitals were included. Compared to hospitals in non-GBR states, hospitals in GBR states experienced significant declines in the following HCAHPS domains: \"would definitely recommend the hospital to others\" [Average treatment effect (ATT) = -1.19, 95% CI = -1.97, -0.41)] and 9-10 rating of the hospital (ATT = -0.93, 95% CI = -1.71, -0.15). Results also showed significant increases in the HCAHPS domains: \"if patient\'s rooms and bathroom were always kept clean\" (ATT = 1.10, 95% CI = 0.20, 2.00). There were no significant differences in changes for the other domains, including no improvements in: nursing communication, doctor communication, help from hospital staff, pain control, communication on medicines, discharge information, and quietness of the patient environment.
CONCLUSIONS: These findings suggest there should be efforts made to ascertain and mitigate potential adverse effects of care transformation initiatives on patient experience. Patients are stakeholders and their inputs should be sought and incorporated in care transformation efforts to ensure that these models align with improved patient experiences.

OBJECTIVE: The aim of this study was to project the impact of legislated nurse staffing ratios on patient-, staff-, and system-level outcomes for Prospective Payment System (PPS) hospitals in Montana.
BACKGROUND: In 2023, House Bill 568 was introduced in Montana focused on legislating hospital safe nursing standards.
METHODS: A quantitative design was used for a convenience sample of Montana PPS hospitals. Data were gathered through a newly developed survey and from other publicly available sources for the years 2018 to 2022. Independent t tests were conducted when appropriate with the significance threshold set at 0.05.
RESULTS: Projections indicate no significant change in patient outcome metrics accompanied by increases in labor requirements, slower emergency department throughput times, and decreases in hospital operating margins.
CONCLUSIONS: In Montana, legislating nurse staffing ratios would have downstream implications inconsistent with the intended impact on patient safety, emphasizing the complexity of variables within and external to the healthcare system that drive patient-, staff-, and system-level outcomes.

To understand hospitals\' approaches to spending reduction in commercial episode-based payment programs and inform incentive design.
Qualitative arm of an explanatory sequential mixed-methods study involving semistructured interviews with hospital leaders participating in a statewide quality improvement collaborative with novel episode-based incentive payments introduced by the state\'s largest commercial payer.
We recruited 21 leaders from 8 purposively selected, diverse hospitals with both high and low performance. Video teleconference-based interviews followed a standardized protocol and addressed 4 domains: choice of clinical condition for evaluation, strategies for episode spending reduction, best practices for success in earning incentives, and barriers to achievement. Rapid qualitative analysis with purposeful data reduction was employed to generate a matrix of key themes within the study domains.
Strategies were similar between high- and low-performing hospitals. When selecting conditions, some hospitals focused on areas of underperformance, aiming for improvement opportunities, whereas others chose conditions already achieving highest efficiency. Many tried to synergize with other ongoing improvement initiatives and clinical areas with established leaders and champions. Key strategies included data-driven improvement, care standardization, and protocol dissemination. Best practices for success included readmission prevention and postacute care spending containment.
The findings highlighted hospitals\' most common strategies and approaches, providing several insights into optimal design of commercial episode-based incentives: They must be lucrative enough to earn attention or consistent with larger federal programs; hospitals need opportunities to succeed through both improved performance and sustained excellence; and programs may incur malalignment between hospitals and credentialed physicians.

OBJECTIVE: The reduction of government expenditure in the healthcare system, the difficulty of finding new sources of funding and the reduction in disposable income per capita are the most important problems of the healthcare system in Greece over the last decade. Therefore, studying the profitability of health structures is a crucial factor in making decisions about their solvency and corporate sustainability. The aim of this study is to investigate the effect of economic liquidity, debt and business size on profitability for the Greek general hospitals (GHs) during the period 2016-2018.
METHODS: Financial statements (balance sheets and income statements) of 84 general hospitals (GHs), 52 public and 32 private, over a three-year period (2016-2018), were analyzed. Spearman\'s Rs correlation was carried out on two samples.
RESULTS: The results revealed that there is a positive relationship between the investigated determinants (liquidity, size) and profitability for both public and private GHs. It was also shown that debt has a negative effect on profitability only for private GHs.
CONCLUSIONS: Increasing the turnover of private hospitals through interventions such as expanding private health insurance and adopting modern financial management techniques in public hospitals would have a positive effect both on profitability and the efficient use of limited resources.
CONCLUSIONS: These results, in conjunction with the findings of the low profitability of private hospitals and the excess liquidity of public hospitals, can shape the appropriate framework to guide hospital administrators and government policymakers.

BACKGROUND: Belgium initiated a hospital pay for performance (P4P) programme after a decade of fixed bonus budgets for \"quality and safety contracts\". This study examined the effect of P4P on hospital incentive payments, performance on quality measures, and the association between changes in quality performance and incentive payments over time.
METHODS: The Belgian government provided information on fixed bonus budgets in 2013-2017 and hospital incentive payments as well as hospital performance on quality measures for the P4P programmes in 2018-2020. Descriptive analyses were conducted to map the financial repercussion between the two systems. A difference-in-difference analysis evaluated the association between quality indicator performance and received incentive payments over time.
RESULTS: Data from 87 acute-care hospitals were analyzed. In the transition to a P4P programme, 29% of hospitals received lower incentive payments per bed. During the P4P years, quality performance scores increased yearly for 55% of hospitals and decreased yearly for 5% of hospitals. There was a significant larger drop in incentive payments for hospitals that scored above median with the start of the P4P programme.
CONCLUSIONS: The transition from fixed bonus budgets for quality efforts to a new incentive payment in a P4P programme has led to more hospitals being financially impacted, although the effect is marginal given the small P4P budget. Quality indicators seem to improve over the years, but this does not correlate with an increase in reward per bed for all hospitals due to the closed nature of the budget.

Medicare\'s Hospital Value-Based Purchasing (HVBP) program will provide a health equity adjustment (HEA) to hospitals that have greater proportions of patients dually eligible for Medicare and Medicaid and that offer high-quality care beginning in fiscal year 2026. However, which hospitals will benefit most from this policy change and to what extent are unknown.
To estimate potential changes in hospital performance after HEA and examine hospital patient mix, structural, and geographic characteristics associated with receipt of increased payments.
This cross-sectional study analyzed all 2676 hospitals participating in the HVBP program in fiscal year 2021. Publicly available data on program performance and hospital characteristics were linked to Medicare claims data on all inpatient stays for dual-eligible beneficiaries at each hospital to calculate HEA points and HVBP payment adjustments.
Hospital Value-Based Purchasing program HEA.
Reclassification of HVBP bonus or penalty status and changes in payment adjustments across hospital characteristics.
Of 2676 hospitals participating in the HVBP program in fiscal year 2021, 1470 (54.9%) received bonuses and 1206 (45.1%) received penalties. After HEA, 102 hospitals (6.9%) were reclassified from bonus to penalty status, whereas 119 (9.9%) were reclassified from penalty to bonus status. At the hospital level, mean (SD) HVBP payment adjustments decreased by $4534 ($90 033) after HEA, ranging from a maximum reduction of $1 014 276 to a maximum increase of $1 523 765. At the aggregate level, net-positive changes in payment adjustments were largest among safety net hospitals ($28 971 708) and those caring for a higher proportion of Black patients ($15 468 445). The likelihood of experiencing increases in payment adjustments was significantly higher among safety net compared with non-safety net hospitals (574 of 683 [84.0%] vs 709 of 1993 [35.6%]; adjusted rate ratio [ARR], 2.04 [95% CI, 1.89-2.20]) and high-proportion Black hospitals compared with non-high-proportion Black hospitals (396 of 523 [75.7%] vs 887 of 2153 [41.2%]; ARR, 1.40 [95% CI, 1.29-1.51]). Rural hospitals (374 of 612 [61.1%] vs 909 of 2064 [44.0%]; ARR, 1.44 [95% CI, 1.30-1.58]), as well as those located in the South (598 of 1040 [57.5%] vs 192 of 439 [43.7%]; ARR, 1.25 [95% CI, 1.10-1.42]) and in Medicaid expansion states (801 of 1651 [48.5%] vs 482 of 1025 [47.0%]; ARR, 1.16 [95% CI, 1.06-1.28]), were also more likely to experience increased payment adjustments after HEA compared with their urban, Northeastern, and Medicaid nonexpansion state counterparts, respectively.
Medicare\'s implementation of HEA in the HVBP program will significantly reclassify hospital performance and redistribute program payments, with safety net and high-proportion Black hospitals benefiting most from this policy change. These findings suggest that HEA is an important strategy to ensure that value-based payment programs are more equitable.

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The management implications of pricing healthcare services, especially hospitals, have received insufficient scholarly attention. Additionally, disciplinary overlaps have led to scattered academic efforts in this domain. This study performs a thematic synthesis of the literature and applies retrospective analysis to hospital service pricing articles to address these issues. The study\'s inputs were sourced from well-known online repositories, using a structured search string and PRISMA flow chart to select the pertinent documents. Our thematic analysis of pricing literature encompasses: (a) comprehension of hospital service pricing nature; (b) pricing objectives, strategies and practices differentiation; (c) presentation of factors impacting hospital service pricing. We observe that hospital pricing is an intricate and unclear matter. The terms \'pricing strategies\' and \'pricing practices\' are often used interchangeably in academic literature. Hospital service pricing is influenced by costs, demand and supply factors, market structure, pricing regulation and third-party reimbursements. The study\'s findings provide policy implications for service pricing in hospitals, in addition to suggesting avenues for future research on hospital pricing.

BACKGROUND: Hospitals can leverage their position between the ultimate buyers and sellers of drugs to retain a substantial share of insurer pharmaceutical expenditures.
METHODS: In this study, we used 2020-2021 national Blue Cross Blue Shield claims data regarding patients in the United States who had drug-infusion visits for oncologic conditions, inflammatory conditions, or blood-cell deficiency disorders. Markups of the reimbursement prices were measured in terms of amounts paid by Blue Cross Blue Shield plans to hospitals and physician practices relative to the amounts paid by these providers to drug manufacturers. Acquisition-price reductions in hospital payments to drug manufacturers were measured in terms of discounts under the federal 340B Drug Pricing Program. We estimated the percentage of Blue Cross Blue Shield drug spending that was received by drug manufacturers and the percentage retained by provider organizations.
RESULTS: The study included 404,443 patients in the United States who had 4,727,189 drug-infusion visits. The median price markup (defined as the ratio of the reimbursement price to the acquisition price) for hospitals eligible for 340B discounts was 3.08 (interquartile range, 1.87 to 6.38). After adjustment for drug, patient, and geographic factors, price markups at hospitals eligible for 340B discounts were 6.59 times (95% confidence interval [CI], 6.02 to 7.16) as high as those in independent physician practices, and price markups at noneligible hospitals were 4.34 times (95% CI, 3.77 to 4.90) as high as those in physician practices. Hospitals eligible for 340B discounts retained 64.3% of insurer drug expenditures, whereas hospitals not eligible for 340B discounts retained 44.8% and independent physician practices retained 19.1%.
CONCLUSIONS: This study showed that hospitals imposed large price markups and retained a substantial share of total insurer spending on physician-administered drugs for patients with private insurance. The effects were especially large for hospitals eligible for discounts under the federal 340B Drug Pricing Program on acquisition costs paid to manufacturers. (Funded by Arnold Ventures and the National Institute for Health Care Management.).

This study examines how US hospitals perform on billing quality measures, including legal actions taken by a hospital to collect medical debt, the timeliness of sending patients an itemized billing statement, and patient access to a qualified billing representative.