Literature DB >> 11172943

Can costs be measured and predicted by modeling within a cooperative clinical trials group? Economic methodologic pilot studies of the radiation therapy oncology group (RTOG) studies 90-03 and 91-04.

J B Owen1, P W Grigsby, T M Caldwell, A A Konski, D J Johnson, W F Demas, B Movsas, C U Jones, T H Wasserman.   

Abstract

PURPOSE: To (1) measure radiation therapy costs for patients in randomized controlled clinical trials, (2) compare measured costs to modeling predictions, (3) examine cost distributions, and (4) assess feasibility of collecting economic data within a cooperative group.
METHODS: The Radiation Therapy Oncology Group conducted economic pilot studies for two Phase III studies that compared fractionation patterns. Expected quantities of Current Procedural Terminology (CPT) codes and relative value units (RVU) were modeled. Institutions retrospectively provided procedure codes, quantities, and components, which were converted to RVUs used for Medicare payments. Cases were included if the radiation therapy quality control review judged them to have been treated per protocol or with minor variation. Cases were excluded if economic quality review found incomplete economic data.
RESULTS: The median and mean RVUs were within the range predicted by the model for all arms of one study and above the predicted range for the other study.
CONCLUSION: The model predicted resource use well for patients who completed treatment per protocol. Actual economic data can be collected for critical cost items. Some institutions experienced difficulty collecting retrospective data, and prospective collection of data is likely to allow wider participation in future Radiation Therapy Oncology Group economic studies.

Entities:  

Mesh:

Year:  2001        PMID: 11172943     DOI: 10.1016/s0360-3016(00)00770-7

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  5 in total

Review 1.  Economic burden of head and neck cancer. A literature review.

Authors:  Jennifer M Lee; Marco Turini; Marc F Botteman; Jennifer M Stephens; Chris L Pashos
Journal:  Eur J Health Econ       Date:  2004-02

2.  Feasibility of using administrative claims data for cost-effectiveness analysis of a clinical trial.

Authors:  Andre Konski; Mythreyi Bhargavan; Jean Owen; Rebecca Paulus; Jay Cooper; Karen K Fu; Kian Ang; Deborah Watkins-Bruner
Journal:  J Med Econ       Date:  2008       Impact factor: 2.448

3.  A cost-effectiveness analysis of adjuvant chemoradiotherapy for resected gastric cancer.

Authors:  Samuel J Wang; Clifton D Fuller; Mehee Choi; Charles R Thomas
Journal:  Gastrointest Cancer Res       Date:  2008-03

4.  Outcomes research in cancer clinical trial cooperative groups: the RTOG model.

Authors:  D W Bruner; B Movsas; A Konski; M Roach; M Bondy; C Scarintino; C Scott; W Curran
Journal:  Qual Life Res       Date:  2004-08       Impact factor: 4.147

Review 5.  Cervical lymph node metastases from occult squamous cell carcinoma.

Authors:  Carsten Nieder; K Kian Ang
Journal:  Curr Treat Options Oncol       Date:  2002-02
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.