Literature DB >> 11134202

Measuring the incremental cost of clinical cancer research.

D P Goldman1, M L Schoenbaum, A L Potosky, J C Weeks, S H Berry, J J Escarce, B A Weidmer, M L Kilgore, N Wagle, J L Adams, R A Figlin, J H Lewis, J Cohen, R Kaplan, M McCabe.   

Abstract

PURPOSE: To summarize evidence on the costs of treating patients in clinical trials and to describe the Cost of Cancer Treatment Study, an ongoing effort to produce generalizable estimates of the incremental costs of government-sponsored cancer trials.
METHODS: A retrospective study of costs will be conducted with 1,500 cancer patients recruited from a randomly selected sample of institutions in the United States. Patients accrued to either phase II or phase III National Cancer Institute-sponsored clinical trials during a 15-month period will be asked to participate in a study of their health care utilization (n = 750). Costs will be measured approximately 1 year after their trial enrollment from a combination of billing records, medical records, and an in-person survey questionnaire. Similar data will be collected for a comparable group of cancer patients not in trials (n = 750) to provide an estimate of the incremental cost.
RESULTS: Evidence suggests insurers limit access to trials because of cost concerns. Public and private efforts are underway to change these policies, but their permanent status is unclear. Previous studies found that treatment costs in clinical trials are similar to costs of standard therapy. However, it is difficult to generalize from these studies because of the unique practice settings, insufficient sample sizes, and the exclusion of potentially important costs.
CONCLUSION: Denials of coverage for treatment in a clinical trial limit patient access to trials and could impede clinical research. Preliminary estimates suggest changes to these policies would not be expensive, but these results are not generalizable. The Cost of Cancer Treatment Study is an ongoing effort to provide generalizable estimates of the incremental treatment cost of phase II and phase III cancer trials. The results should be of great interest to insurers and the research community as they consider permanent ways to finance cancer trials.

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Year:  2001        PMID: 11134202     DOI: 10.1200/JCO.2001.19.1.105

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


  10 in total

1.  Recognizing the Financial Burden of Cancer Patients in Clinical Trials.

Authors:  Ryan D Nipp; Elizabeth Powell; Bruce Chabner; Beverly Moy
Journal:  Oncologist       Date:  2015-05-18

2.  Barriers to participation in cancer prevention clinical trials.

Authors:  Michael J Hall; Brian Egleston; Suzanne M Miller; Joanne S Buzaglo; Jennifer Millard; Caroline Ridgway; Nevena Damjanov; John D Sprandio; Neal J Meropol
Journal:  Acta Oncol       Date:  2010-08       Impact factor: 4.089

3.  Effect of Clinical Trial Participation on Costs to Payers in Metastatic Non-Small-Cell Lung Cancer.

Authors:  Cristina Merkhofer; Shasank Chennupati; Qin Sun; Keith D Eaton; Renato G Martins; Scott D Ramsey; Bernardo H L Goulart
Journal:  JCO Oncol Pract       Date:  2021-08

4.  Insurance Clearance for Early-Phase Oncology Clinical Trials Following the Affordable Care Act.

Authors:  Kenneth L Kehl; Cheryl P Fullmer; Siqing Fu; Goldy C George; Kenneth R Hess; Filip Janku; Daniel D Karp; Shumei Kato; Cynthia K Kizer; Razelle Kurzrock; Aung Naing; Shubham Pant; Sarina A Piha-Paul; Vivek Subbiah; Apostolia M Tsimberidou; David S Hong
Journal:  Clin Cancer Res       Date:  2017-07-20       Impact factor: 12.531

5.  Financial Burden of Cancer Clinical Trial Participation and the Impact of a Cancer Care Equity Program.

Authors:  Ryan D Nipp; Hang Lee; Elizabeth Powell; Nicole E Birrer; Emily Poles; Daniel Finkelstein; Karen Winkfield; Sanja Percac-Lima; Bruce Chabner; Beverly Moy
Journal:  Oncologist       Date:  2016-03-14

Review 6.  Tomorrow's cancer treatments today: the first 50 years of the Cancer and Leukemia Group B.

Authors:  Mark R Green; Stephen L George; Richard L Schilsky
Journal:  Semin Oncol       Date:  2008-10       Impact factor: 4.929

7.  The relationships among knowledge, self-efficacy, preparedness, decisional conflict, and decisions to participate in a cancer clinical trial.

Authors:  S M Miller; S V Hudson; B L Egleston; S Manne; J S Buzaglo; K Devarajan; L Fleisher; J Millard; N Solarino; J Trinastic; N J Meropol
Journal:  Psychooncology       Date:  2012-02-14       Impact factor: 3.894

8.  The changing face of phase 1 cancer clinical trials: new challenges in study requirements.

Authors:  Barbara S Craft; Razelle Kurzrock; Xiudong Lei; Roy Herbst; Scott Lippman; Siqing Fu; Daniel D Karp
Journal:  Cancer       Date:  2009-04-15       Impact factor: 6.860

9.  Found in translation: Integrating laboratory and clinical oncology research.

Authors:  H Wagner
Journal:  Biomed Imaging Interv J       Date:  2008-07-01

10.  Comparison of hospital charge prediction models for colorectal cancer patients: neural network vs. decision tree models.

Authors:  Seung-Mi Lee; Jin-Oh Kang; Yong-Moo Suh
Journal:  J Korean Med Sci       Date:  2004-10       Impact factor: 2.153

  10 in total

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