Estimating the Cost Trajectories and Projecting the Cost of Cancer Care in the United States: Methodology and Application

估计美国癌症护理的成本轨迹和预测成本：方法和应用

基本信息

批准号：
10434897
负责人：
Liang Li
金额：
$ 35.87万
依托单位：
UNIVERSITY OF TX MD ANDERSON CAN CTR
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-07-05 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10434897
关键词：
Address Adopted Age Algorithms Antineoplastic Agents Breast Cancer Burden Cancer Patient Caring Cessation of life Characteristics Chronic Disease Clinical Colorectal Computer software Cost Analysis Cost Control Critical Care Data Databases Diagnosis Disease Progression Expenditure Financial Hardship Health Policy Individual Intervention Life Lung Malignant Neoplasms Medical Care Costs Medicare Medicare Part A Medicare claim Methodology Methods Modeling National Cancer Institute Oral Patients Pattern Periodicity Pharmaceutical Preparations Phase Policies Policy Maker Policy Making Population Populations at Risk Prognosis Prostate Lymphoma Reporting Reproducibility Research Risk Scientific Advances and Accomplishments Scoring Method Specific qualifier value Statistical Methods Target Populations Time United States Update Variant base burden of illness cancer care cancer diagnosis cancer therapy care costs case control chemotherapy clinically relevant cohort cost cost estimate economic impact improved innovation leukemia longitudinal analysis novel simulation terminal patient care user friendly software user-friendly

项目摘要

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.

项目摘要/摘要定期准确预测美国癌症护理费用是对于决策者了解癌症的经济影响至关重要制定和评估成本遏制政策和干预措施。我们建议系统地为成本估算和投影开发新方法，以解决分析二十年来开发的护理成本核算方法中的挑战以前，此后已被国家癌症研究所在其定期成本报告中采用。我们的方法包括（a）建模纵向成本轨迹的新方法初始，持续和终末护理阶段的人工划分，（b）确定更可比的匹配的控制队列估计归因于癌症的净成本，（c）推断从SEER-MEDICARE数据库到美国将军估计的成本轨迹人口并验证外推算法以预测国家癌症护理费用。我们将应用提出的方法将SEER-MEDICARE DATA应用于投影前五名最昂贵的癌症（乳房，结直肠，肺，前列腺和淋巴瘤），加上白血病，在2020年至2030年之间。将开发用户友好的软件并进行常规使用。

项目成果

期刊论文数量（22）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Influence of Geography on Prostate Cancer Treatment.

DOI：
10.1016/j.ijrobp.2020.11.055
发表时间：
2021-04-01
期刊：
International journal of radiation oncology, biology, physics
影响因子：
0
作者：
Tang C;Lei X;Smith GL;Pan HY;Hoffman KE;Kumar R;Chapin BF;Shih YT;Frank SJ;Smith BD
通讯作者：
Smith BD

Statistical modeling of longitudinal medical cost trajectory: renal cell cancer care cost analyses.

纵向医疗成本轨迹的统计模型：肾细胞癌护理成本分析。

DOI：
10.1093/biostatistics/kxab024
发表时间：
2020
期刊：
Biostatistics (Oxford, England)
影响因子：
0
作者：
Wang,Shikun;Shen,Yu;Shih,Ya-ChenTina;Xu,Ying;Li,Liang
通讯作者：
Li,Liang

Five-Year Longitudinal Analysis of Patient-Reported Outcomes and Cosmesis in a Randomized Trial of Conventionally Fractionated Versus Hypofractionated Whole-Breast Irradiation.

DOI：
10.1016/j.ijrobp.2021.05.004
发表时间：
2021-10-01
期刊：
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
影响因子：
7
作者：
Weng, Julius K.;Lei, Xiudong;Schlembach, Pamela;Bloom, Elizabeth S.;Shaitelman, Simona F.;Arzu, Isidora Y.;Chronowski, Gregory;Dvorak, Tomas;Grade, Emily;Hoffman, Karen;Perkins, George;Reed, Valerie K.;Shah, Shalin J.;Stauder, Michael C.;Strom, Eric A.;Tereffe, Welela;Woodward, Wendy A.;Hortobagyi, Gabriel N.;Hunt, Kelly K.;Buchholz, Thomas A.;Smith, Benjamin D.
通讯作者：
Smith, Benjamin D.

Propensity score analysis methods with balancing constraints: A Monte Carlo study.