Determinants of NCI Cancer Center Attendance in Medicare Patients with Lung, Breast, Colorectal, or Prostate Cancer
- 185 Downloads
Geographic access to NCI-Cancer Centers varies by region, race/ethnicity, and place of residence, but utilization of these specialized centers has not been examined at the national level in the U.S. This study identified determinants of NCI-Cancer Center attendance in Medicare cancer patients.
SEER-Medicare (Surveillance Epidemiology and End Results) data were used to identify individuals with an incident cancer of the breast, lung, colon/rectum, or prostate from 1998–2002. NCI-Cancer Center attendance was determined based on utilization claims from 1998–2003. Demographic, clinical, and geographic factors were examined in multilevel models. We performed sensitivity analyses for the NCI-Cancer Center attendance definition.
Overall, 7.3% of this SEER-Medicare cohort (N = 211,048) attended an NCI-Cancer Center. Travel-time to the nearest NCI-Cancer Center was inversely related to attendance, showing 11% decreased likelihood of attendance for every 10 minutes of additional travel-time (OR = 0.89, 95%CI 0.88–0.90). Receiving predominantly generalist care prior to diagnosis was associated with a lower likelihood of attendance (OR = 0.79, 95%CI 0.77–0.82). The other factors associated with greater NCI-Cancer attendance were later stage at diagnosis, fewer comorbidities, and urban residence in conjunction with African-American race.
Attendance at NCI-Cancer Centers is low among Medicare beneficiaries, but is strongly influenced by proximity and general provider care prior to diagnosis. Other patient factors are predictive of NCI-Cancer Center attendance and may be important in better understanding cancer care utilization.
Key Wordsattendance determinants cancer centers Medicare
We would like to thank Dan Gottlieb, M.S. for his invaluable assistance with creation of the analytic dataset and keen advice.
This work was supported in part by NIH Grant Number 1 P20 RR018787 and by the Agency for Healthcare Research and Quality under Ruth L. Kirschstein National Research Service Award number T32HS000070.
This study used the linked SEER-Medicare database. The interpretation and reporting of these data are the sole responsibility of the authors. The authors acknowledge the efforts of the Applied Research Program, NCI; the Office of Research, Development and Information, CMS; Information Management Services (IMS), Inc.; and the Surveillance, Epidemiology, and End Results (SEER) Program tumor registries in the creation of the SEER-Medicare database.
Conflict of Interest statement
The authors deny any conflicts of interest.
- 6.http://www3.cancer.gov/cancercenters/centerslist.html (accessed 10/29/08).
- 14.http://seer.cancer.gov/about/ (accessed 10.29/08).
- 16.http://seer.cancer.gov/csr/1975_2002/results_merged/topic_age_dist.pdf (accessed 10/29/08).
- 18.http://www.doh.wa.gov/Data/Guidelines/RuralUrban.htm#suggested (accessed 10/29/08).
- 20.Schrag D, Bach PB, Dahlman C, Warren JL. Identifying and measuring hospital characteristics using the SEER-Medicare data and other claims-based sources. Med Care. 2002;40(8 Suppl):IV-96–103.Google Scholar
- 24.Rabe-Hesketh SaS, A. Multilevel and Longitudinal Modeling Using Stata. College Station Texas: Stata Press; 2005.Google Scholar
- 32.Baicker K, Chandra A, Skinner JS, Wennberg JE. Who You Are And Where You Live: How Race And Geography Affect The Treatment Of Medicare Beneficiaries. Health Aff (Millwood). 2004.Google Scholar