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Related Experiment Videos

Assessing cervical cancer risk in Hispanics.

Gloria D Coronado1, Thomas D Koepsell, Beti Thompson

  • 1Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. gcoronad@fhcrc.org

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology
|October 12, 2002
PubMed
Summary

Cancer registries misclassify Hispanic ethnicity, potentially hiding cervical cancer rates in Hispanic women. Improving ethnicity data accuracy is crucial due to population growth and higher cancer incidence.

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Area of Science:

  • Epidemiology
  • Public Health
  • Cancer Research

Background:

  • Population-based cancer registries use diverse methods to assign Hispanic ethnicity.
  • These methods can lead to misclassification of ethnic identities.
  • Misclassification may obscure the true incidence of cervical cancer among Hispanic women.

Purpose of the Study:

  • To review literature on the accuracy of methods for ascertaining Hispanic ethnicity in cancer incidence data.
  • To examine ethnicity ascertainment methods in six U.S. states with high Hispanic populations.

Main Methods:

  • Literature review of studies on Hispanic ethnicity ascertainment accuracy.
  • Analysis of ethnicity data from cancer registries in California, Florida, Illinois, New Mexico, New York, and Texas.

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  • Evaluation of methods including U.S. census lists and the GUESS program.

    • Main Results:

    • The predictive value positive (self-identified Hispanic classified as Hispanic) ranged from 54-76% for women.
    • Sensitivity (Hispanic classified as Hispanic) was 62-80% for the 1980 U.S. census list and 63-82% for the GUESS program.
    • Using more data sources improved sensitivity but lowered the predictive value positive.

    Conclusions:

    • Accurate ethnicity data collection is influenced by demographics, immigration, identity changes, and policy.
    • The growing Hispanic population and higher cervical cancer rates necessitate improved ethnicity data accuracy.
    • Enhancing the precision of ethnicity information is vital for understanding and addressing health disparities.