Impact of skeletal complications on total medical care costs in lung cancer patients with bone metastases

2004 ◽  
Vol 22 (14_suppl) ◽  
pp. 6064-6064 ◽  
Author(s):  
T. E. Delea ◽  
J. M. McKiernan ◽  
M. Liss ◽  
J. S. Edelsberg ◽  
J. Brandman ◽  
...  
2004 ◽  
Vol 22 (14_suppl) ◽  
pp. 6064-6064
Author(s):  
T. E. Delea ◽  
J. M. McKiernan ◽  
M. Liss ◽  
J. S. Edelsberg ◽  
J. Brandman ◽  
...  

2004 ◽  
Vol 22 (14_suppl) ◽  
pp. 6057-6057 ◽  
Author(s):  
J. M. McKiernan ◽  
T. E. Delea ◽  
M. Liss ◽  
J. S. Edelsberg ◽  
J. Brandman ◽  
...  

2004 ◽  
Vol 22 (14_suppl) ◽  
pp. 6057-6057
Author(s):  
J. M. McKiernan ◽  
T. E. Delea ◽  
M. Liss ◽  
J. S. Edelsberg ◽  
J. Brandman ◽  
...  

2006 ◽  
Vol 1 (6) ◽  
pp. 571-576 ◽  
Author(s):  
Thomas E. Delea ◽  
James McKiernan ◽  
Jane Brandman ◽  
John Edelsberg ◽  
Jennifer Sung ◽  
...  

2006 ◽  
Vol 1 (6) ◽  
pp. 571-576 ◽  
Author(s):  
Thomas E. Delea ◽  
James McKiernan ◽  
Jane Brandman ◽  
John Edelsberg ◽  
Jennifer Sung ◽  
...  

2005 ◽  
Vol 23 (16_suppl) ◽  
pp. 8094-8094 ◽  
Author(s):  
T. E. Delea ◽  
J. M. McKiernan ◽  
J. Brandman ◽  
J. Sung ◽  
M. Raut ◽  
...  

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 6611-6611
Author(s):  
Matthew P. Banegas ◽  
Michael J. Hassett ◽  
Paul A Fishman ◽  
Mark C. Hornbrook ◽  
Nikki M Carroll ◽  
...  

6611 Background: To address the paucity of data on costs of cancer recurrence, this study estimated medical care costs of patients diagnosed with recurrent breast, colorectal or lung cancer, and compared costs to patients diagnosed with de novo stage IV disease. Methods: Data from patients enrolled in three health plans who were diagnosed with de novo stage IV or recurrent breast (nstage IV = 352; nrecurrent= 765), colorectal (nstage IV = 1072 and nrecurrent= 542) and lung (nstage IV = 4042 and nrecurrent= 339) cancers between 2000-2012 were used to estimate total medical care costs in the 12 months preceding (pre-index), month of index, and 12 months following (post-index) diagnosis/recurrence date. Cancer patients were identified using tumor registry data. Recurrent cancers were validated by medical record abstraction and the RECUR algorithms –innovative tools to detect recurrence using claims and electronic health record data. We used generalized linear repeated measures regression models controlling for demographic and comorbidity variables to estimate costs (2012 US$), stratified by age at diagnosis (ages < 65, ≥65). Results: Medical care cost differences in the pre-index period indicate higher costs for recurrent cancer patients than for stage IV breast (Age < 65:+$2550; Age ≥65: +$1254), colorectal (Age < 65:+$3295; Age ≥65: +$1653), and lung cancer patients (Age < 65:+$3232; Age ≥65: +$2340). Conversely, in the index and post-index periods, costs for stage IV cancers were higher than recurrent cancer costs. Specifically, post-index period cost differences indicate higher costs for stage IV patients than for recurrent breast (Age < 65:+$683; Age ≥65: +$1172), colorectal (Age < 65:+$3104; Age ≥65: +$1557), and lung cancer patients (Age < 65:+$1136; Age ≥65: +$1103). Conclusions: Our study provides medical care cost estimates of recurrent and de novo stage IV cancers. Cost differences between recurrent and stage IV cancers reveal heterogeneity in care patterns that merits further investigation. The reported study costs, measured in capitated care systems using standardized fee-for-service reimbursement coefficients, may serve as a benchmark for stage-specific phase-of-care oncology episode payment models.


Sign in / Sign up

Export Citation Format

Share Document