Underascertainment of radiotherapy receipt in Surveillance, Epidemiology, and End Results registry data
dc.contributor.author | Jagsi, Reshma | en_US |
dc.contributor.author | Abrahamse, Paul | en_US |
dc.contributor.author | Hawley, Sarah T. | en_US |
dc.contributor.author | Graff, John J. | en_US |
dc.contributor.author | Hamilton, Ann S. | en_US |
dc.contributor.author | Katz, Steven J. | en_US |
dc.date.accessioned | 2012-03-16T15:59:55Z | |
dc.date.available | 2013-03-04T15:29:54Z | en_US |
dc.date.issued | 2012-01-15 | en_US |
dc.identifier.citation | Jagsi, Reshma; Abrahamse, Paul; Hawley, Sarah T.; Graff, John J.; Hamilton, Ann S.; Katz, Steven J. (2012). "Underascertainment of radiotherapy receipt in Surveillance, Epidemiology, and End Results registry data ." Cancer 118(2): 333-341. <http://hdl.handle.net/2027.42/90319> | en_US |
dc.identifier.issn | 0008-543X | en_US |
dc.identifier.issn | 1097-0142 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/90319 | |
dc.description.abstract | BACKGROUND: Surveillance, Epidemiology, and End Results (SEER) registry data have been used to suggest underuse and disparities in receipt of radiotherapy. Prior studies have cautioned that SEER may underascertain radiotherapy but lacked adequate representation to assess whether underascertainment varies by geography or patient sociodemographic characteristics. The authors sought to determine rates and correlates of underascertainment of radiotherapy in recent SEER data. METHODS: The authors evaluated data from 2290 survey respondents with nonmetastatic breast cancer, aged 20 to 79 years, diagnosed from June of 2005 to February 2007 in Detroit and Los Angeles and reported to SEER registries (73% response rate). Survey responses regarding treatment and sociodemographic factors were merged with SEER data. The authors compared radiotherapy receipt as reported by patients versus SEER records. The authors then assessed correlates of radiotherapy underascertainment in SEER. RESULTS: Of 1292 patients who reported receiving radiotherapy, 273 were coded as not receiving radiotherapy in SEER (underascertained). Underascertainment was more common in Los Angeles than in Detroit (32.0% vs 11.25%, P < .001). On multivariate analysis, radiotherapy underascertainment was significantly associated in each registry (Los Angeles, Detroit) with stage ( P = .008, P = .026), income ( P < .001, P = .050), mastectomy receipt ( P < .001, P < .001), chemotherapy receipt ( P < .001, P = .045), and diagnosis at a hospital that was not accredited by the American College of Surgeons ( P < .001, P < .001). In Los Angeles, additional significant variables included younger age ( P < .001), nonprivate insurance ( P < .001), and delayed receipt of radiotherapy ( P < .001). CONCLUSIONS: SEER registry data as currently collected may not be an appropriate source for documentation of rates of radiotherapy receipt or investigation of geographic variation in the radiation treatment of breast cancer. Cancer 2011;. © 2011 American Cancer Society. This study found that the Los Angeles Cancer Surveillance Program, among the largest Surveillance, Epidemiology, and End Results (SEER) registries, coded that radiation was not received in nearly a third of cases in which breast cancer patients themselves reported radiation receipt, whereas ascertainment of radiation receipt was much more complete in another large SEER registry, that of the Metropolitan Detroit Cancer Surveillance System. SEER registry data as currently collected may not be an appropriate source for documentation of rates of radiotherapy receipt or geographic disparities. | en_US |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | SEER | en_US |
dc.subject.other | Radiation Therapy | en_US |
dc.subject.other | Data Quality | en_US |
dc.subject.other | Ascertainment | en_US |
dc.subject.other | Breast Cancer | en_US |
dc.title | Underascertainment of radiotherapy receipt in Surveillance, Epidemiology, and End Results registry data | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Oncology and Hematology | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | Department of Radiation Oncology, University of Michigan, UHB2C490, SPC 5010, 1500 East Medical Center Drive, Ann Arbor, MI 48109‐5010 | en_US |
dc.contributor.affiliationum | Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationum | General Medicine Division, University of Michigan, Ann Arbor, Michigan | en_US |
dc.contributor.affiliationother | Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California | en_US |
dc.contributor.affiliationother | Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, New Jersey | en_US |
dc.identifier.pmid | 21717446 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/90319/1/26295_ftp.pdf | |
dc.identifier.doi | 10.1002/cncr.26295 | en_US |
dc.identifier.source | Cancer | en_US |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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