Literature DB >> 29193984

Population-Based Study to Determine the Health System Costs of Using the 21-Gene Assay.

Nicole Mittmann1, Craig C Earle1, Stephanie Y Cheng1, Jim A Julian1, Farah Rahman1, Soo Jin Seung1, Mark N Levine1.   

Abstract

Purpose The 21-gene assay Oncotype Dx (Genomic Health, Redwood City, CA) test is used to aid the decision about chemotherapy in patients with hormone receptor-positive breast cancer who received endocrine therapy. Economic studies to support test adoption used decision-analytic models with assumptions and data derived from disparate sources. The objective was to evaluate whether the 21-gene assay test resulted in an overall cost expense or saving to the health system. Patients and Methods One thousand participants enrolled in a field evaluation study, were linked to population-level health system administrative databases, and were observed for 20 months. The cost for the cohort, which included the cost of the test, subsequent treatments received, and health care encounters, was determined. The cost in the absence of the test was compared with the pretest recommendation about chemotherapy from the field study for a base case and under scenarios that reflected different adjuvant chemotherapy use. Overall health system costs and incremental costs were calculated. Results The 21-gene assay resulted in a net decrease in chemotherapy use of 23%. For the base case incremental analysis, the actual overall health system cost of this cohort, including the cost of 21-gene assay, was $29.2 million compared with $26.2 million in the absence of the test-an increase of $3.1 million. For three of the four scenario analyses, the actual overall cost to the health system exceeded the estimated cost in the absence of the test. Results showed that, when at least half of the population received adjuvant chemotherapy, the cost increased to $30.2 million. Conclusion The use of real-world administrative data showed that, despite lower rates of chemotherapy use, the 21-gene assay test results in an overall incremental cost to the health care system in the short-term under most assumptions.

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Year:  2017        PMID: 29193984     DOI: 10.1200/JCO.2017.74.2577

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  8 in total

1.  News from ASCO 2018.

Authors:  Marija Balic; Natalija Dedic; Leticia De Mattos-Arruda; Simon Gampenrieder
Journal:  Breast Care (Basel)       Date:  2018-07-12       Impact factor: 2.860

2.  The generation of two specific cancer costing algorithms using Ontario administrative databases.

Authors:  N Mittmann; S Y Cheng; N Liu; S J Seung; F E Saxena; C DeAngelis; N J Look Hong; C C Earle; M C Cheung; N Leighl; N Coburn; W K Evans
Journal:  Curr Oncol       Date:  2019-10-01       Impact factor: 3.677

3.  PROGNOSTIC VALUE OF TOPOISOMERASE 2-ALPHA AND B-MYB IN EARLY BREAST CANCER TREATED WITH ADJUVANT CHEMOTHERAPY.

Authors:  Ljubica Radmilović Varga; Natalija Dedić Plavetić; Paula Podolski; Davor Mijatović; Ana Kulić; Damir Vrbanec
Journal:  Acta Clin Croat       Date:  2021-03       Impact factor: 0.780

4.  Health system costs for cancer medications and radiation treatment in Ontario for the 4 most common cancers: a retrospective cohort study.

Authors:  Nicole Mittmann; Ning Liu; Stephanie Y Cheng; Soo Jin Seung; Farah E Saxena; Nicole J Look Hong; Craig C Earle; Matthew C Cheung; Natasha B Leighl; Natalie G Coburn; Carlo DeAngelis; William K Evans
Journal:  CMAJ Open       Date:  2020-03-16

5.  Economic impacts of care by high-volume providers for non-curative esophagogastric cancer: a population-based analysis.

Authors:  Julie Hallet; Nicole J Look Hong; Victoria Zuk; Laura E Davis; Vaibhav Gupta; Craig C Earle; Nicole Mittmann; Natalie G Coburn
Journal:  Gastric Cancer       Date:  2019-12-13       Impact factor: 7.370

6.  Risk stratification of ER-positive breast cancer patients: A multi-institutional validation and outcome study of the Rochester Modified Magee algorithm (RoMMa) and prediction of an Oncotype DX® recurrence score <26.

Authors:  Bradley M Turner; Mary Ann Gimenez-Sanders; Armen Soukiazian; Andrea C Breaux; Kristin Skinner; Michelle Shayne; Nyrie Soukiazian; Marilyn Ling; David G Hicks
Journal:  Cancer Med       Date:  2019-06-14       Impact factor: 4.452

Review 7.  Analyzing Precision Medicine Utilization with Real-World Data: A Scoping Review.

Authors:  Michael P Douglas; Anika Kumar
Journal:  J Pers Med       Date:  2022-04-01

8.  Gene Expression Profiling Tests for Early-Stage Invasive Breast Cancer: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-03-06
  8 in total

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