Literature DB >> 17446828

Differences among the elderly in the treatment costs of colorectal cancer: how important is race?

George E Wright1, William E Barlow, Pamela Green, Laura-Mae Baldwin, Stephen H Taplin.   

Abstract

BACKGROUND: Medical expenditures adjusted for price differences are a barometer of total resources devoted to patient care and thus may reflect treatment differentials.
OBJECTIVE: We sought to estimate costs of the surgical and adjuvant treatment phases of colorectal cancer (CRC) care and cost differences by race (African American-white) and other patient characteristics.
METHODS: We used the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database for stage II-III rectal and stage III colon cancer cases diagnosed in 1992-1996 to track Medicare approved payments for fee-for-service beneficiaries 66 and older in surgical (within 3 months of diagnosis) and postsurgical phases (13 months after the surgical phase). Net costs adjusted for expected noncancer expenditures were estimated with generalized linear models using pooled CRC and non-CRC cohorts. Using model results, we projected adjusted net costs for different patient groups (eg, by race, age).
RESULTS: Total unstandardized CRC costs for African American recipients were $44,199, a statistically significant 15% higher than for white recipients ($38,378). Adjusting for covariates and expected non-CRC costs decreased the estimate for African American recipients to $34,588, a statistically insignificant $974 (2.9%) more than white recipients. Differential expenditures by age, urban-rural setting, region, and neighborhood median income were all much larger than differences by race, although only region was statistically significant.
CONCLUSIONS: African American CRC patients cost more than their white counterparts, but adjusted differences were nonsignificant and trivial. Several nonracial cost differences were considerably larger (but not all statistically significant), and suggest that future research pay more attention to these characteristics.

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Mesh:

Year:  2007        PMID: 17446828      PMCID: PMC3124338          DOI: 10.1097/01.mlr.0000257184.93944.80

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  31 in total

1.  Obtaining long-term disease specific costs of care: application to Medicare enrollees diagnosed with colorectal cancer.

Authors:  M L Brown; G F Riley; A L Potosky; R D Etzioni
Journal:  Med Care       Date:  1999-12       Impact factor: 2.983

2.  Cost comparison of mastectomy versus breast-conserving therapy for early-stage breast cancer.

Authors:  W E Barlow; S H Taplin; C K Yoshida; D S Buist; D Seger; M Brown
Journal:  J Natl Cancer Inst       Date:  2001-03-21       Impact factor: 13.506

3.  Age and adjuvant chemotherapy use after surgery for stage III colon cancer.

Authors:  D Schrag; L D Cramer; P B Bach; C B Begg
Journal:  J Natl Cancer Inst       Date:  2001-06-06       Impact factor: 13.506

4.  Who gets adjuvant treatment for stage II and III rectal cancer? Insight from surveillance, epidemiology, and end results--Medicare.

Authors:  D Schrag; S E Gelfand; P B Bach; J Guillem; B D Minsky; C B Begg
Journal:  J Clin Oncol       Date:  2001-09-01       Impact factor: 44.544

5.  Colorectal carcinoma in poor blacks.

Authors:  Harold P Freeman; Tarek A Alshafie
Journal:  Cancer       Date:  2002-05-01       Impact factor: 6.860

6.  Explaining black-white differences in receipt of recommended colon cancer treatment.

Authors:  Laura-Mae Baldwin; Sharon A Dobie; Kevin Billingsley; Yong Cai; George E Wright; Jason A Dominitz; William Barlow; Joan L Warren; Stephen H Taplin
Journal:  J Natl Cancer Inst       Date:  2005-08-17       Impact factor: 13.506

7.  Utility of the SEER-Medicare data to identify chemotherapy use.

Authors:  Joan L Warren; Linda C Harlan; Angela Fahey; Beth A Virnig; Jean L Freeman; Carrie N Klabunde; Gregory S Cooper; Kevin B Knopf
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

8.  Patient demographic and socioeconomic characteristics in the SEER-Medicare database applications and limitations.

Authors:  Peter B Bach; Edward Guadagnoli; Deborah Schrag; Nicola Schussler; Joan L Warren
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

9.  Studying radiation therapy using SEER-Medicare-linked data.

Authors:  Beth A Virnig; Joan L Warren; Gregory S Cooper; Carrie N Klabunde; Nicola Schussler; Jean Freeman
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

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  5 in total

1.  Analysis of factors associated with prognosis after colorectal cancer resection in 174 Chinese elderly patients.

Authors:  Zheng Jiang; Chunxiang Li; Xiaohui Qiu; Ye Xu; Xishan Wang; Sanjun Cai
Journal:  J Gastrointest Surg       Date:  2011-02-15       Impact factor: 3.452

2.  Colon cancer treatment costs for Medicare and dually eligible beneficiaries.

Authors:  Zhehui Luo; Cathy J Bradley; Bassam A Dahman; Joseph C Gardiner
Journal:  Health Care Financ Rev       Date:  2010

3.  Incidence trends and predictors for cost and average lengths of stay in colorectal cancer surgery.

Authors:  Daw-Shyong Perng; I-Cheng Lu; Hon-Yi Shi; Chih-Wen Lin; Kuang-Wen Liu; Ya-Fen Su; King-Teh Lee
Journal:  World J Gastroenterol       Date:  2014-01-14       Impact factor: 5.742

Review 4.  Economic studies in colorectal cancer: challenges in measuring and comparing costs.

Authors:  K Robin Yabroff; Laurel Borowski; Joseph Lipscomb
Journal:  J Natl Cancer Inst Monogr       Date:  2013

Review 5.  The global impact of non-communicable diseases on healthcare spending and national income: a systematic review.

Authors:  Taulant Muka; David Imo; Loes Jaspers; Veronica Colpani; Layal Chaker; Sven J van der Lee; Shanthi Mendis; Rajiv Chowdhury; Wichor M Bramer; Abby Falla; Raha Pazoki; Oscar H Franco
Journal:  Eur J Epidemiol       Date:  2015-01-18       Impact factor: 8.082

  5 in total

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