TY - JOUR
T1 - Cost effectiveness of gene expression profile testing in community practice
AU - Chandler, Young
AU - Schechter, Clyde B.
AU - Jayasekera, Jinani
AU - Near, Aimee
AU - O'Neill, Suzanne C.
AU - Isaacs, Claudine
AU - Phelps, Charles E.
AU - Ray, G. Thomas
AU - Lieu, Tracy A.
AU - Ramsey, Scott
AU - Mandelblatt, Jeanne S.
N1 - Publisher Copyright:
© 2018 Lippincott Williams and Wilkins. All rights reserved.
PY - 2018/2/20
Y1 - 2018/2/20
N2 - Purpose Gene expression profile (GEP) testing can support chemotherapy decision making for patients with early-stage, estrogen receptor-positive, human epidermal growth factor 2-negative breast cancers. This study evaluated the cost effectiveness of one GEP test, Oncotype DX (Genomic Health, Redwood City, CA), in community practice with test-eligible patients age 40 to 79 years. Methods A simulation model compared 25-year societal incremental costs and quality-adjusted life-years (QALYs) of community Oncotype DX use from 2005 to 2012 versus usual care in the pretesting era (2000 to 2004). Inputs included Oncotype DX and chemotherapy data from an integrated health care system and national and published data on Oncotype DX accuracy, chemotherapy effectiveness, utilities, survival and recurrence, and Medicare and patient costs. Sensitivity analyses varied individual parameters; results were also estimated for ideal conditions (ie, 100% testing and adherence to test-suggested treatment, perfect test accuracy, considering test effects on reassurance or worry, and lowest costs). Results Twenty-four percent of test-eligible patients had Oncotype DX testing. Testing was higher in younger patients and patientswith stage I disease (v stage IIA), and 75.3%and 10.2%of patients with high and low recurrence risk scores received chemotherapy, respectively. The cost-effectiveness ratio for testing (v usual care) was $188,125 per QALY. Considering test effects on worry versus reassurance decreased the cost-effectiveness ratio to $58,431 per QALY. With perfect test accuracy, the costeffectiveness ratio was $28,947 per QALY, and under ideal conditions, it was $39,496 per QALY. Conclusion GEP testing is likely to have a high cost-effectiveness ratio on the basis of community practice patterns. However, realistic variations in assumptions about key variables could result in GEP testing having cost-effectiveness ratios in the range of other accepted interventions. The differences in cost-effectiveness ratios on the basis of community versus ideal conditions underscore the importance of considering real-world implementation when assessing the new technology.
AB - Purpose Gene expression profile (GEP) testing can support chemotherapy decision making for patients with early-stage, estrogen receptor-positive, human epidermal growth factor 2-negative breast cancers. This study evaluated the cost effectiveness of one GEP test, Oncotype DX (Genomic Health, Redwood City, CA), in community practice with test-eligible patients age 40 to 79 years. Methods A simulation model compared 25-year societal incremental costs and quality-adjusted life-years (QALYs) of community Oncotype DX use from 2005 to 2012 versus usual care in the pretesting era (2000 to 2004). Inputs included Oncotype DX and chemotherapy data from an integrated health care system and national and published data on Oncotype DX accuracy, chemotherapy effectiveness, utilities, survival and recurrence, and Medicare and patient costs. Sensitivity analyses varied individual parameters; results were also estimated for ideal conditions (ie, 100% testing and adherence to test-suggested treatment, perfect test accuracy, considering test effects on reassurance or worry, and lowest costs). Results Twenty-four percent of test-eligible patients had Oncotype DX testing. Testing was higher in younger patients and patientswith stage I disease (v stage IIA), and 75.3%and 10.2%of patients with high and low recurrence risk scores received chemotherapy, respectively. The cost-effectiveness ratio for testing (v usual care) was $188,125 per QALY. Considering test effects on worry versus reassurance decreased the cost-effectiveness ratio to $58,431 per QALY. With perfect test accuracy, the costeffectiveness ratio was $28,947 per QALY, and under ideal conditions, it was $39,496 per QALY. Conclusion GEP testing is likely to have a high cost-effectiveness ratio on the basis of community practice patterns. However, realistic variations in assumptions about key variables could result in GEP testing having cost-effectiveness ratios in the range of other accepted interventions. The differences in cost-effectiveness ratios on the basis of community versus ideal conditions underscore the importance of considering real-world implementation when assessing the new technology.
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U2 - 10.1200/JCO.2017.74.5034
DO - 10.1200/JCO.2017.74.5034
M3 - Article
C2 - 29309250
AN - SCOPUS:85042044573
SN - 0732-183X
VL - 36
SP - 554
EP - 562
JO - Journal of Clinical Oncology
JF - Journal of Clinical Oncology
IS - 6
ER -