Robert Boer
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Robert Boer has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Dee W. West
Cancer Prevention Institute of California, Fremont
1 shared publication - Dennis Deapen
USC Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
1 shared publication - John Z. Ayanian
Brigham and Women’s Hospital
1 shared publication - Katherine L. Kahn
RAND Corporation, Santa Monica †David Geffen School of Medicine at UCLA, Los Angeles, CA ‡IMPAQ International, Columbia, MD
1 shared publication - Lisa C. Clarke
Epidemiology Program, County of Marin, San Rafael, CA
1 shared publication - Rudolph P. Rull
School of Community Health Sciences, University of Nevada, Reno, Reno, NV
1 shared publication
Latest Publications
- 1 January 2016
- Published by Wolters Kluwer Health in Medical Care
- Vol. 54 (1) , e1-e8
Validity of Race, Ethnicity, and National Origin in Population-based Cancer Registries and Rapid Case Ascertainment Enhanced With a Spanish Surname List
Background: Accurate information regarding race, ethnicity, and national origins is critical for identifying disparities in the cancer burden. Objectives: To examine the use of a Spanish surname list to improve the quality of race-related information obtained from rapid case ascertainment (RCA) and to estimate the accuracy of race-related information obtained from cancer registry records collected by routine reporting. Subjects: Self-reported survey responses of 3954 participants from California enrolled in the Cancer Care Outcomes Research and Surveillance Consortium. Measures: Sensitivity, specificity, positive predictive value, and percent agreement. We used logistic regression to identify predictors of underreporting and overreporting of a race/ethnicity. Results: Use of the Spanish surname list increased the sensitivity of RCA for Latino ethnicity from 37% to 83%. Sensitivity for cancer registry records collected by routine reporting was ≥95% for whites, blacks, and Asians, and specificity was high for all groups (86%–100%). However, patterns of misclassification by race/ethnicity were found that could lead to biased cancer statistics for specific race/ethnicities. Discordance between self-reported and registry-reported race/ethnicity was more likely for women, Latinos, and Asians. Conclusions: Methods to improve race and ethnicity data, such as using Spanish surnames in RCA and instituting data collection guidelines for hospitals, are needed to ensure minorities are accurately represented in clinical and epidemiological research.
- 1 January 2016
- Published by Wolters Kluwer Health in Medical Care
- Vol. 54 (1) , e1-e8
Validity of Race, Ethnicity, and National Origin in Population-based Cancer Registries and Rapid Case Ascertainment Enhanced With a Spanish Surname List
Background: Accurate information regarding race, ethnicity, and national origins is critical for identifying disparities in the cancer burden. Objectives: To examine the use of a Spanish surname list to improve the quality of race-related information obtained from rapid case ascertainment (RCA) and to estimate the accuracy of race-related information obtained from cancer registry records collected by routine reporting. Subjects: Self-reported survey responses of 3954 participants from California enrolled in the Cancer Care Outcomes Research and Surveillance Consortium. Measures: Sensitivity, specificity, positive predictive value, and percent agreement. We used logistic regression to identify predictors of underreporting and overreporting of a race/ethnicity. Results: Use of the Spanish surname list increased the sensitivity of RCA for Latino ethnicity from 37% to 83%. Sensitivity for cancer registry records collected by routine reporting was ≥95% for whites, blacks, and Asians, and specificity was high for all groups (86%–100%). However, patterns of misclassification by race/ethnicity were found that could lead to biased cancer statistics for specific race/ethnicities. Discordance between self-reported and registry-reported race/ethnicity was more likely for women, Latinos, and Asians. Conclusions: Methods to improve race and ethnicity data, such as using Spanish surnames in RCA and instituting data collection guidelines for hospitals, are needed to ensure minorities are accurately represented in clinical and epidemiological research.