Evidence map›Paper›PMID 39060688›Full record

ArticleAnnals of surgical oncology2024

Market Factors, Not Quality, Influence Reimbursement for Pancreaticoduodenectomy in an Era of Price Transparency.

Sabran J Masoud, Anthony T Saxton, Michael E Lidsky, Allison N Martin, Garth S Herbert, Dan G Blazer, Peter J Allen, Marcelo Cerullo

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Article in Annals of surgical oncology, 2024. 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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sabran J MasoudDepartment of Surgery, Duke University Medical Center, Durham, NC, USA. sabran.masoud@duke.edu.ORCID http://orcid.org/0000-0002-7758-3545
Anthony T SaxtonDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Michael E LidskyDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Allison N MartinDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Garth S HerbertDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Dan G BlazerDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Peter J AllenDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.
Marcelo CerulloDepartment of Surgery, Duke University Medical Center, Durham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Centers for Medicare and Medicaid Services (CMS) price transparency rule tries to facilitate cost-conscious decision-making. For surgical services, such as pancreaticoduodenectomy (PD), factors mediating transparency and real-world reimbursement are not well described.

methodsThe Leapfrog Survey was used to identify United States hospitals performing PD. Financial and operational data were obtained from Turquoise Health and CMS Cost Reports. Chi-square tests and modified Poisson regression evaluated associations with reimbursement disclosure. Two-part logistic and gamma regression models estimated effects of hospital factors on commercial, Medicare, and self-pay reimbursements for PD.

resultsOf 452 Leapfrog hospitals, 295 (65%) disclosed PD hospital or procedure reimbursements. Disclosing hospitals were larger (beds > 200: 81.0% vs. 71.3%, p = 0.04), reported higher net margins (0.7% vs. - 2.1%, p = 0.04), more likely for-profit (26.1% vs. 6.4%, p < 0.001), and teaching-affiliated (82.0% vs. 65.6%, p < 0.001). Nonprofit status conferred hospitalization reimbursement increases of $8683-$12,329, while moderate market concentration predicted savings up to $5066. Teaching affiliation conferred reimbursement increases of $4589-$16,393 for hospitalizations and $644 for procedures. Top Leapfrog volume ratings predicted an increase of up to $7795 for only Medicare hospitalization reimbursement.

conclusionsNondisclosure of hospital and procedural reimbursements for PD remains a major issue. Transparency was noted in hospitals with higher margins, size, and academic affiliation. Factors associated with higher reimbursement were non-profit status, academic affiliation, and more equitable market share. Reimbursement inconsistently tracked with PD quality or volume measures. Policy changes may be required to incentivize reimbursement disclosure and translate transparency into increased value for patients.

Indexed as

PancreaticoduodenectomyCenters for Medicare and Medicaid Services, U.S.DisclosureHumansInsurance, Health, ReimbursementMedicareQuality of Health CareReimbursement MechanismsUnited StatesCostPancreaticoduodenectomyPriceRegionalizationTransparencyWhipple

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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.