Evidence map›Paper›PMID 41784963›Full record

ArticleJAMA network open2026

Global Budget Revenue Model and Care for Patients Receiving Chemotherapy.

Yu-Li Lin, Bradley Herring, Alexander Melamed, Laura A Petrillo, Nancy L Keating, Anaeze C Offodile

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yu-Li LinDepartment of Health Services Research, University of Texas MD Anderson Cancer Center, Houston.
Bradley HerringDepartment of Economics, University of New Hampshire Paul College of Business and Economics, Durham.
Alexander MelamedDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Boston.
Laura A PetrilloDivision of Palliative Care and Geriatrics, Massachusetts General Hospital, Boston.
Nancy L KeatingDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Anaeze C OffodilePlastic and Reconstructive Surgery Service, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Examining the effects of Global Budget Revenue Program on the Costs and Quality of Care Provided to Cancer Patients Undergoing ChemotherapyR37CA276322 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ANAEZE C OFFODILE · 2023 to 2026
$2.2M
NCI NIH HHS P30 CA008748NCI NIH HHS R37 CA276322
6 · The paper itself

Abstract

Importance: Maryland's Global Budget Revenue (GBR) model provided fixed global payments to hospitals, aiming to control revenue growth while improving care quality. The implications of GBR implementation in 2014 for cancer care have not been robustly evaluated. Objective: To examine the association between GBR implementation and subsequent changes in episode-based Medicare payments, hospital utilization, and quality of care among Medicare beneficiaries undergoing systemic therapy for cancer. Design, Setting, and Participants: This cohort study used a difference-in-differences approach to compare changes in outcome measures from pre-GBR (2011-2013) to post-GBR (2014-2018) implementation periods in Maryland compared with 11 control states. Six-month care episodes were selected for adult fee-for-service Medicare beneficiaries initiating or continuing cytotoxic chemotherapy, immunotherapy, or targeted therapy for cancer between 2011 and 2018. Data were obtained from Medicare claims, including inpatient, outpatient, carrier, durable medical equipment, home health agency, hospice, and Part D event files. All analyses were performed between April 4, 2024, and January 5, 2026. Main Outcomes and Measures: The primary outcomes were standardized Medicare payments during the 6-month systemic therapy episode, including total, hospital, and professional payments. Also assessed were measures of hospital-based utilization (all-cause hospitalizations and emergency department [ED] visits) and care quality (timely receipt of chemotherapy; chemotherapy-related hospitalizations and ED visits; and measures of high-intensity end-of-life treatment: no or late hospice enrollment, >1 ED visit in the last 30 days of life, intensive care unit stay in the last 30 days of life, and receipt of chemotherapy in the last 14 days of life). Results: A total of 38 531 chemotherapy episodes in Maryland were matched to 38 531 episodes in control states. Episodes in Maryland were for patients (22 185 females [57.6%]) with a mean (SD) age of 73.3 (8.6) years; in control states, episodes were for patients (21 708 females [56.3%]) with a mean (SD) age of 72.7 (9.1) years. GBR implementation was associated with a reduction of $3075 (95% CI, -$4276 to -$1843; 6.1% savings) in total episode payments, a reduction of $3217 (95% CI, -$4058 to -$2328; 17.3% savings) in hospital payments, and an increase of $1382 (95% CI, $781-$2013; 11.9% increase) in professional payments. There was a reduction of 1.7 (95% CI, -3.0 to -0.5) percentage points in chemotherapy-related hospitalizations. No significant association was found for other hospital-based utilization or care quality measures. Conclusions and Relevance: This cohort study of patients with systemic anticancer therapy episodes showed that Maryland's GBR model was associated with substantial reductions in the growth of Medicare payments. These savings may have been achieved by shifting care toward lower-cost treatment settings.

Indexed as

Antineoplastic AgentsBudgetsMedicareNeoplasmsAgedCohort StudiesFee-for-Service PlansFemaleHospitalizationHumansMaleMarylandQuality of Health CareUnited StatesAntineoplastic Agents

Identifiers

PMID41784963
PMCPMC12964157

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.