Shi-Yi Wang1, Rong Wang, James B Yu, Xiaomei Ma, Xiao Xu, Simon P Kim, Pamela R Soulos, Avantika Saraf, Cary P Gross. 1. *Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center, Yale University School of Medicine †Department of Chronic Disease Epidemiology, Yale School of Public Health Departments of ‡Therapeutic Radiology §Obstetrics, Gynecology, and Reproductive Sciences ∥Urology ¶Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT.
Abstract
OBJECTIVES: To evaluate the contributions of patient and treatment factors to overall expenditures and regional variation for initial treatment of localized prostate cancer (CaP) in the Medicare program. RESEARCH DESIGN: Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified 47,517 beneficiaries with localized CaP during 2005-2009 and matched noncancer controls. We employed hierarchical generalized linear models to estimate risk-standardized cancer-related expenditures for each hospital referral region. To identify key contributors to the variation, we sequentially added patient characteristics, treatment intensity (the percentage of patients receiving curative treatments), ancillary procedures (biopsy, hormone therapy, and imaging), and specific treatment modalities into the model. We categorized the expenditures according to the type of services to identify their relative impact on the expenditure variations. RESULTS: The mean expenditure on CaP-related care per CaP beneficiary was $15,900, including $1800 on surgery, $11,200 on radiotherapy, and $1900 on ancillary procedures. The expenditure difference between quintiles 5 and 1 was $6200. Patient characteristics explained 8.4% of this difference. Treatment intensity and treatment modalities accounted for an additional 21.2% and 31.2% of the variation, respectively. Between the highest and lowest expenditure quintiles, the difference in radiotherapy expenditure was $5000, whereas that in surgery or ancillary procedures was <$200. CONCLUSIONS: There is substantial geographic variation in CaP expenditures, and the specific modality of radiotherapy is the most important contributor to this variation. Efforts to address the CaP care costs, such as bundled payment development, require targeting both treatment intensity and use of costly modalities.
OBJECTIVES: To evaluate the contributions of patient and treatment factors to overall expenditures and regional variation for initial treatment of localized prostate cancer (CaP) in the Medicare program. RESEARCH DESIGN: Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified 47,517 beneficiaries with localized CaP during 2005-2009 and matched noncancer controls. We employed hierarchical generalized linear models to estimate risk-standardized cancer-related expenditures for each hospital referral region. To identify key contributors to the variation, we sequentially added patient characteristics, treatment intensity (the percentage of patients receiving curative treatments), ancillary procedures (biopsy, hormone therapy, and imaging), and specific treatment modalities into the model. We categorized the expenditures according to the type of services to identify their relative impact on the expenditure variations. RESULTS: The mean expenditure on CaP-related care per CaP beneficiary was $15,900, including $1800 on surgery, $11,200 on radiotherapy, and $1900 on ancillary procedures. The expenditure difference between quintiles 5 and 1 was $6200. Patient characteristics explained 8.4% of this difference. Treatment intensity and treatment modalities accounted for an additional 21.2% and 31.2% of the variation, respectively. Between the highest and lowest expenditure quintiles, the difference in radiotherapy expenditure was $5000, whereas that in surgery or ancillary procedures was <$200. CONCLUSIONS: There is substantial geographic variation in CaP expenditures, and the specific modality of radiotherapy is the most important contributor to this variation. Efforts to address the CaP care costs, such as bundled payment development, require targeting both treatment intensity and use of costly modalities.
Authors: Ashish K Jha; E John Orav; Allen Dobson; Robert A Book; Arnold M Epstein Journal: Health Aff (Millwood) Date: 2009 May-Jun Impact factor: 6.301
Authors: Xiaomei Ma; Rong Wang; Jessica B Long; Joseph S Ross; Pamela R Soulos; James B Yu; Danil V Makarov; Heather T Gold; Cary P Gross Journal: Cancer Date: 2013-10-04 Impact factor: 6.860
Authors: Joan L Warren; K Robin Yabroff; Angela Meekins; Marie Topor; Elizabeth B Lamont; Martin L Brown Journal: J Natl Cancer Inst Date: 2008-06-10 Impact factor: 13.506
Authors: Brent K Hollenbeck; Maggie J Bierlein; Samuel R Kaufman; Lindsey Herrel; Ted A Skolarus; David C Miller; Vahakn B Shahinian Journal: Am J Manag Care Date: 2016-09 Impact factor: 2.229
Authors: Paolo Dell'oglio; Anne Sophie Valiquette; Sami-Ramzi Leyh-Bannurah; Zhe Tian; Vincent Trudeau; Alessandro Larcher; Shahrokh F Shariat; Umberto Capitanio; Alberto Briganti; Markus Graefen; Francesco Montorsi; Pierre I Karakiewicz Journal: Can Urol Assoc J Date: 2018-03-19 Impact factor: 1.862
Authors: Benjamin Enns; Jeong Eun Min; Dimitra Panagiotoglou; Julio S G Montaner; Bohdan Nosyk Journal: BMC Health Serv Res Date: 2019-09-03 Impact factor: 2.655
Authors: Bruce L Jacobs; Jonathan G Yabes; Samia H Lopa; Dwight E Heron; Chung-Chou H Chang; Justin E Bekelman; Joel B Nelson; Julie P W Bynum; Amber E Barnato; Jeremy M Kahn Journal: Urology Date: 2020-01-13 Impact factor: 2.649