Skip to main content

COVID-19 is an emerging, rapidly evolving situation.

What people with cancer should know: https://www.cancer.gov/coronavirus

Guidance for cancer researchers: https://www.cancer.gov/coronavirus-researchers

Get the latest public health information from CDC: https://www.coronavirus.gov

Get the latest research information from NIH: https://www.nih.gov/coronavirus

Grant Details

Grant Number: 5R01CA225646-03 Interpret this number
Primary Investigator: Li, Liang
Organization: University Of Tx Md Anderson Can Ctr
Project Title: Estimating the Cost Trajectories and Projecting the Cost of Cancer Care in the United States: Methodology and Application
Fiscal Year: 2020


Abstract

Project Summary/Abstract Accurate projection of the costs of cancer care in the United States on a regular basis is critically important for decision makers to understand the economic impact of cancer and to develop and assess cost containment policies and interventions. We propose to systematically develop new methodology for cost estimation and projection that addresses analytical challenges in the phase-of-care costing method, which was developed more than two decades ago and has since been adopted by the National Cancer Institute in its periodic cost reporting. Our methodology includes new methods to (a) model the longitudinal cost trajectories without artificial partitioning of initial, continuing, and terminal care phases, (b) identify more comparable matched control cohort in the estimation of net cost attributable to cancer, (c) to extrapolate the cost trajectories estimated from SEER-Medicare database to the general United States population and validate the extrapolation algorithm for the purpose of projecting national cancer care costs. We will apply the proposed methods to SEER-Medicare data to project the costs of the top five most costly cancers (breast, colorectal, lung, prostate, and lymphoma), plus leukemia, in the United States between 2020 and 2030. User-friendly software will be developed and disseminated for routine use.



Publications

Quantitative 3-Dimensional Photographic Assessment of Breast Cosmesis After Whole Breast Irradiation for Early Stage Breast Cancer: A Secondary Analysis of a Randomized Clinical Trial.
Authors: Chapman B.V. , Lei X. , Patil P. , Tripathi S. , Nicklaus K.M. , Grossberg A.J. , Shaitelman S.F. , Thompson A.M. , Hunt K.K. , Buchholz T.A. , et al. .
Source: Advances in radiation oncology, 2020 Sep-Oct; 5(5), p. 824-833.
EPub date: 2020-05-21.
PMID: 33083644
Related Citations

Flexible regression approach to propensity score analysis and its relationship with matching and weighting.
Authors: Mao H. , Li L. .
Source: Statistics in medicine, 2020-07-10; 39(15), p. 2017-2034.
EPub date: 2020-03-17.
PMID: 32185801
Related Citations

Effect of Surgeon Factors on Long-Term Patient-Reported Outcomes After Breast-Conserving Therapy in Older Breast Cancer Survivors.
Authors: Smith B.D. , Lei X. , Diao K. , Xu Y. , Shen Y. , Smith G.L. , Giordano S.H. , DeSnyder S.M. , Hunt K.K. , Teshome M. , et al. .
Source: Annals of surgical oncology, 2020 Apr; 27(4), p. 1013-1022.
EPub date: 2020-01-08.
PMID: 31916092
Related Citations

Rising Economic Burden of Renal Cell Carcinoma among Elderly Patients in the USA: Part II-An Updated Analysis of SEER-Medicare Data.
Authors: Shih Y.T. , Xu Y. , Chien C.R. , Kim B. , Shen Y. , Li L. , Geynisman D.M. .
Source: PharmacoEconomics, 2019 12; 37(12), p. 1495-1507.
PMID: 31286464
Related Citations

Use of Claims Data for Cost and Cost-Effectiveness Research.
Authors: Shih Y.T. , Liu L. .
Source: Seminars in radiation oncology, 2019 10; 29(4), p. 348-353.
PMID: 31472737
Related Citations




Back to Top