2002
DOI: 10.1097/00005650-200208001-00003
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Patient Demographic and Socioeconomic Characteristics in the SEER-Medicare Database

Abstract: Users of the linked SEER-Medicare database commonly perform analyses that focus on the complex interactions among patient characteristics, cancer treatments, and outcomes. The authors review the source and scope of the patient-specific data elements, with a focus on three domains--demographic characteristics, socioeconomic characteristics, and survival status. They offer some concrete recommendations regarding the use of these data elements. In particular, they describe analyses that provide an estimate of the… Show more

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Cited by 219 publications
(194 citation statements)
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“…The primary study outcome, postoperative survival, was calculated using Medicare data that stay current as of the date of linkage with the SEER registry (17). Patients alive as of December 31, 2009 were censored at the date of the last follow-up.…”
Section: Study Populationmentioning
confidence: 99%
“…The primary study outcome, postoperative survival, was calculated using Medicare data that stay current as of the date of linkage with the SEER registry (17). Patients alive as of December 31, 2009 were censored at the date of the last follow-up.…”
Section: Study Populationmentioning
confidence: 99%
“…14 We assigned median Census-tract income and Censustract percentage of nonhigh school graduates as patient-level measures of income and education, respectively. 25 We measured pre-existing comorbidity by using a modification of the Charlson Index 26 to identify comorbid conditions (including diabetes, renal insufficiency, and cardiovascular disease) from inpatient and physician claims that were submitted during the 12 months before the index admission for kidney cancer surgery. 27 We also noted the presence or absence of hypertension, urolithiasis, and/or renovascular disease, given their relevance to surgical decision-making among patients with kidney cancer.…”
Section: Patient-level Covariatesmentioning
confidence: 99%
“…Although race/ethnicity categories may have involved a certain degree of misclassification, 2 categories (African American and Caucasian) in this study are likely to have a minimal misclassification bias, if any. 40 …”
Section: Other Characteristicsmentioning
confidence: 99%