Expert consensus on essential characteristics of oncology value-based payment

Value-based payment (VBP) models are increasingly adopted in oncology to promote high-quality, cost-effective, and patient-centered care. To identify essential characteristics of effective oncology VBP models, a modified Delphi process was conducted with 9 experts representing diverse oncology organizations. Panelists participated in 2 survey rounds and an in-person discussion, evaluating the importance and feasibility of key VBP model elements using Likert scales. Results revealed consensus on the need for patient-centered care, robust risk adjustment, and oncology-specific outcome measures. While pay-for-performance and enhanced monthly payment models were seen as feasible and widely used, they were also criticized for outdated metrics, insufficient reimbursement, and high administrative burden. High-impact models such as dual-sided risk and cost-containment approaches were viewed as promising but challenging to implement, particularly for small or rural practices. Panelists cited stakeholder misalignment, financial risk, and lack of standardized benchmarks as major barriers to effective implementation. The authors concluded that future VBP models must align incentives across stakeholders, accommodate clinical complexity, and evolve iteratively to support innovation, equity, and sustainability in oncology care.

Authors

Institutions

Publication Details

Journal
The American Journal of Managed Care
Published
2025-12-01
DOI
https://doi.org/10.37765/ajmc.2025.89855
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Expert consensus on essential characteristics of oncology value-based payment

Michael Fazio, Rhonda Henschel, Mary L. Witkowski, Aaron J. Lyss et al.
The American Journal of Managed Care
Economic and Financial Impacts of Cancer
article

Expert consensus on essential characteristics of oncology value-based payment

Michael Fazio, Rhonda Henschel, Mary L. Witkowski, Aaron J. Lyss, Lalan S. Wilfong, Andrew Yue, Kiana Mehring, Shilpa Trivedi
article en

Abstract

Value-based payment (VBP) models are increasingly adopted in oncology to promote high-quality, cost-effective, and patient-centered care. To identify essential characteristics of effective oncology VBP models, a modified Delphi process was conducted with 9 experts representing diverse oncology organizations. Panelists participated in 2 survey rounds and an in-person discussion, evaluating the importance and feasibility of key VBP model elements using Likert scales. Results revealed consensus on the need for patient-centered care, robust risk adjustment, and oncology-specific outcome measures. While pay-for-performance and enhanced monthly payment models were seen as feasible and widely used, they were also criticized for outdated metrics, insufficient reimbursement, and high administrative burden. High-impact models such as dual-sided risk and cost-containment approaches were viewed as promising but challenging to implement, particularly for small or rural practices. Panelists cited stakeholder misalignment, financial risk, and lack of standardized benchmarks as major barriers to effective implementation. The authors concluded that future VBP models must align incentives across stakeholders, accommodate clinical complexity, and evolve iteratively to support innovation, equity, and sustainability in oncology care.

The American Journal of Managed CareVol. 31(Suppl 5)
Harvard University (US), Tennessee Oncology (US), Hematology Oncology Consultants (US)
Openalex Percentile: Top 53%
Economic and Financial Impacts of Cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.