Abstract 1780P
Background
In the backdrop of keener scrutiny of health equity issues, the impact of a new intervention on inequality in health outcomes is increasingly viewed as an element in health technology assessment. Non-Hispanic (NH) Black patients are disproportionally affected by non-metastatic castration-resistant prostate cancer (nmCRPC). Darolutamide is an approved treatment for nmCRPC and was shown to be effective and safe among NH-Black patients in the ARAMIS trial. The objective of this study was to quantify the health inequality impact of darolutamide+ androgen-deprivation therapy (ADT) relative to ADT for nmCRPC in the U.S. by means of a distributional cost-effectiveness analysis.
Methods
With a decision model, the quality-adjusted life years (QALYs) and costs were estimated for NH-White, NH-Black, Asian, and Hispanic patients. The degree of differences in QALYs among these subgroups was expressed with Atkinson relative inequality indices (0 = equal outcomes and 1 = maximum inequality between subgroups) for both strategies. Their difference was defined as the inequality impact of darolutamide among treated patients. Subtracting equally distributed health opportunity costs from the QALY gains with darolutamide facilitated calculation of the overall health inequality impact across population subgroups.
Results
Darolutamide+ADT resulted in an additional 1.04 (95% confidence interval 0.57; 1.49) QALYs per treated patient relative to ADT, with the greatest gain observed among NH-Black patients (1.48 QALYs (0.49; 2.72)). The relative inequality in QALYs among patients reduced by 66%, from an inequality score of 0.032 (0.004; 0.080) with ADT to 0.011 (0.000; 0.049) with darolutamide+ADT. Factoring in health opportunity costs, treatment of eligible nmCRPC patients with darolutamide resulted in the largest net gain in QALYs among the NH-Black population, thereby having a favorable impact on inequalities in quality adjusted life expectancy.
Conclusions
Darolutamide+ADT for the treatment of nmCRPC results in greater health outcomes than ADT, and reduces inequality in health outcomes across subgroups according to race and ethnicity in the U.S.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Bayer Pharmaceuticals.
Disclosure
J. Janssen, T. Flottemesch, I. Brewer, P. Sullivan: Financial Interests, Institutional, Full or part-time Employment, Precision heor was hired by Bayer to perform the research: PRECISIONheor. J. Partridge: Financial Interests, Personal, Full or part-time Employment, Full time employee of Bayer: Bayer Pharmaceuticals.
Resources from the same session
1239P - NHS-Galleri trial enrolment approaches and participant sociodemographic diversity
Presenter: Charles Swanton
Session: Poster session 14
1241P - Decoding the glycan code: Pioneering early detection of non-small cell lung cancer through glycoproteomics
Presenter: Kai He
Session: Poster session 14
1242P - Implementing functional precision oncology in real-world patients: Translating extensive in vitro data into personalized treatment combining genetics and functional assays
Presenter: Dörthe Schaffrin-Nabe
Session: Poster session 14
1243P - Ocular surface squamous neoplasia early diagnosis using an AI-empowered autofluorescence multispectral imaging technique
Presenter: Abbas HABIBALAHI
Session: Poster session 14
1244P - AI-based accurate PD-L1 IHC assessment in non-small cell lung cancer across multiple sites and scanners
Presenter: Ramona Erber
Session: Poster session 14
1245P - A lymph nodal staging assessment model for various histologic types of small intestinal tumors
Presenter: YOUSHENG LI
Session: Poster session 14
1246P - Detection of alternative lengthening of telomeres (ALT) across cancer types based on tumor-normal multigene panel sequencing
Presenter: Juan Blanco Heredia
Session: Poster session 14
1247P - A detection model for EGFR mutations in lung adenocarcinoma patients based on volatile organic compounds
Presenter: Yunpeng Yang
Session: Poster session 14
1248P - Development of a high performance and noninvasive diagnostic model using blood cell-free microRNAs for multi-cancer early detection
Presenter: Jason Zhang
Session: Poster session 14
1249P - Whole genome sequencing-based cancer diagnostics in routine clinical practice: An interim analysis of two years of real-world data
Presenter: Jeffrey van Putten
Session: Poster session 14