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Oncology

Cost drivers for breast, lung, and colorectal cancer care in a commercially insured population over a 6-month episode: an economic analysis from a health plan perspective

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Pages 1018-1023 | Received 15 Mar 2017, Accepted 29 May 2017, Published online: 03 Jul 2017
 

Abstract

Aims: In the absence of clinical data, accurate identification of cost drivers is needed for economic comparison in an alternate payment model. From a health plan perspective using claims data in a commercial population, the objective was to identify and quantify the effects of cost drivers in economic models of breast, lung, and colorectal cancer costs over a 6-month episode following initial chemotherapy.

Research design and methods: This study analyzed claims data from 9,748 Cigna beneficiaries with diagnosis of breast, lung, and colorectal cancer following initial chemotherapy from January 1, 2014 to December 31, 2015. We used multivariable regression models to quantify the impact of key factors on cost during the initial 6-month cancer care episode.

Results: Metastasis, facility provider affiliation, episode risk group (ERG) risk score, and radiation were cost drivers for all three types of cancer (breast, lung, and colorectal). In addition, younger age (p < .0001) and human epidermal growth factor receptor-2 oncogene overexpression (HER2+)-directed therapy (p < .0001) were associated with higher costs in breast cancer. Younger age (p < .0001) and female gender (p < .0001) were also associated with higher costs in colorectal cancer. Metastasis was also associated with 50% more hospital admissions and increased hospital length of stay (p < .001) in all three cancers over the 6-month episode duration. Chemotherapy and supportive drug therapies accounted for the highest proportion (48%) of total medical costs among beneficiaries observed.

Conclusions: Value-based reimbursement models in oncology should appropriately account for key cost drivers. Although claims-based methodologies may be further augmented with clinical data, this study recommends adjusting for the factors identified in these models to predict costs in breast, lung, and colorectal cancers.

Transparency

Declaration of funding

Work was performed at, and funded by, Cigna. The Cigna name is a registered service mark used herein to refer to operating subsidiaries of CIGNA Corporation, including Cigna Health and Life Insurance Company and Cigna Behavioral Health, Inc.

Declaration of financial/other interests

All authors are employed by Cigna. JME peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Acknowledgments

The authors gratefully acknowledge the technical and editorial assistance provided by Dr Stuart Lustig, and the contributions to conception and design provided by Mary Deary-Weiss.

Ethical Board Review Statement

This research was conducted as a quality improvement initiative by Cigna in accordance with the Declaration of Helsinki.

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