EconPapers    
Economics at your fingertips  
 

The Accuracy and Usefulness of the National Comprehensive Cancer Network Evidence Blocks Affordability Rating

Aaron P. Mitchell (), Pranammya Dey, Jennifer A. Ohn, Sara M. Tabatabai, Michael A. Curry and Peter B. Bach
Additional contact information
Aaron P. Mitchell: Memorial Sloan Kettering Cancer Center
Pranammya Dey: Memorial Sloan Kettering Cancer Center
Jennifer A. Ohn: Memorial Sloan Kettering Cancer Center
Sara M. Tabatabai: Memorial Sloan Kettering Cancer Center
Michael A. Curry: Memorial Sloan Kettering Cancer Center
Peter B. Bach: Memorial Sloan Kettering Cancer Center

PharmacoEconomics, 2020, vol. 38, issue 7, No 7, 737-745

Abstract: Abstract Background The National Comprehensive Cancer Network (NCCN) Guidelines’ Evidence Blocks has the broadest scope of the several oncology value assessment frameworks. The Evidence Blocks includes the Affordability criterion, which reflects the financial cost of each treatment on a 1–5 scale. The accuracy of Affordability is unknown. Methods We calculated Medicare costs for all first-line and maintenance treatments for the 30 cancers with the highest incidence in the USA that had published NCCN Evidence Blocks as of 31 December 2018. We assessed the accuracy and consistency of Affordability across different treatments and cancer types. Among different treatments for the same indication, we determined the frequency with which the Affordability assessment was consistent with calculated treatment costs. Results There were a total of 1386 treatments in our sample. Lower Affordability scores were associated with higher costs. There was significant variation in cost at each level of Affordability; for treatments with Affordability = 1 (very expensive), costs ranged from $US4551 to $US43,794 per month for treatments administered over an undefined time period and from $US2865 to $US500,982 per course of therapy for treatments administered over a defined time period. Among treatments for the same indication, Affordability was discrepant with calculated treatment costs in 7.9% of pairwise comparisons, identifying the higher-cost treatment as being more affordable. Discrepancies were reduced when we reassigned Affordability scores based on calculated treatment costs. Conclusions Evidence Blocks Affordability generally correlated with treatment costs but contained discrepancies, which may limit its usefulness to clinicians in comparing costs. This study suggests that the Affordability score may be improved by indexing more directly to specified dollar value thresholds.

Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s40273-020-00901-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:pharme:v:38:y:2020:i:7:d:10.1007_s40273-020-00901-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40273

DOI: 10.1007/s40273-020-00901-x

Access Statistics for this article

PharmacoEconomics is currently edited by Timothy Wrightson and Christopher I. Carswell

More articles in PharmacoEconomics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:pharme:v:38:y:2020:i:7:d:10.1007_s40273-020-00901-x