Literature DB >> 9141643

Predictors of misclassification of Hispanic ethnicity in a population-based cancer registry.

K C Swallen1, D W West, S L Stewart, S L Glaser, P L Horn-Ross.   

Abstract

PURPOSE: Hispanic ethnicity is often used as a category for calculating population-based rates or assessing risk of epidemiologic studies. However, ethnic misclassification can lead to false conclusions unless the extent of misclassification and the characteristics of those misclassified are understood.
METHODS: This study explored determinants of ethnic misclassification in a sample of 1154 cancer cases in the San Francisco-Oakland cancer registry, where ethnic classification is based on surname or medical record report. We compared the following: correctly classified Hispanics, persons classified as Hispanic who self-identified as non-Hispanic, and persons classified as non-Hispanic who self-identified as Hispanic.
RESULTS: Among men classified as Hispanic, those most likely to self-identify as non-Hispanic did not speak Spanish, had non-Spanish surnames, and were recent immigrants. Women misclassified as Hispanic did not speak Spanish or have Spanish maiden names, nor did they have mothers with Spanish maiden names. Persons who called themselves Hispanic, but were misclassified by the registry, were likely to be non-Spanish speaking college-education males.
CONCLUSIONS: Researchers using ethnicity should be aware of how ethnicity was determined and how this classification may bias or confound their results.

Entities:  

Mesh:

Year:  1997        PMID: 9141643     DOI: 10.1016/s1047-2797(96)00154-8

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  23 in total

1.  Hospital policy and practice regarding the collection of data on race, ethnicity, and birthplace.

Authors:  Scarlett Lin Gomez; Gem M Le; Dee W West; William A Satariano; Lilia O'Connor
Journal:  Am J Public Health       Date:  2003-10       Impact factor: 9.308

2.  A system for rapidly and accurately collecting patients' race and ethnicity.

Authors:  David W Baker; Kenzie A Cameron; Joseph Feinglass; Jason A Thompson; Patricia Georgas; Shawn Foster; Deborah Pierce; Romana Hasnain-Wynia
Journal:  Am J Public Health       Date:  2006-01-31       Impact factor: 9.308

3.  The public endorses collection of ethnicity information in hospital: implications for routine data capture in Canadian health systems.

Authors:  Hude Quan; Alison Wong; Delaine Johnson; William A Ghali
Journal:  Healthc Policy       Date:  2006-03

Review 4.  A systematic review of HIV/AIDS survival and delayed diagnosis among Hispanics in the United States.

Authors:  Nadine E Chen; Joel E Gallant; Kathleen R Page
Journal:  J Immigr Minor Health       Date:  2012-02

Review 5.  Use of geocoding and surname analysis to estimate race and ethnicity.

Authors:  Kevin Fiscella; Allen M Fremont
Journal:  Health Serv Res       Date:  2006-08       Impact factor: 3.402

6.  Use of death certificates to study ethnic-specific mortality.

Authors:  Angela F Caveney; Melinda A Smith; Lewis B Morgenstern; Lynda D Lisabeth
Journal:  Public Health Rep       Date:  2006 May-Jun       Impact factor: 2.792

7.  Agreement between self-reported and administrative race and ethnicity data among Medicaid enrollees in Minnesota.

Authors:  Donna D McAlpine; Timothy J Beebe; Michael Davern; Kathleen T Call
Journal:  Health Serv Res       Date:  2007-12       Impact factor: 3.402

8.  Uncovering nativity disparities in cancer patterns: Multiple imputation strategy to handle missing nativity data in the Surveillance, Epidemiology, and End Results data file.

Authors:  Jane R Montealegre; Renke Zhou; E Susan Amirian; Michael E Scheurer
Journal:  Cancer       Date:  2014-01-16       Impact factor: 6.860

9.  Tribal linkage and race data quality for American Indians in a state cancer registry.

Authors:  Jennifer C Johnson; Amr S Soliman; Dan Tadgerson; Glenn E Copeland; David A Seefeld; Noel L Pingatore; Rick Haverkate; Mousumi Banerjee; Marilyn A Roubidoux
Journal:  Am J Prev Med       Date:  2009-04-08       Impact factor: 5.043

10.  Race/ethnicity and breast cancer estrogen receptor status: impact of class, missing data, and modeling assumptions.

Authors:  Nancy Krieger; Jarvis T Chen; James H Ware; Afamia Kaddour
Journal:  Cancer Causes Control       Date:  2008-08-14       Impact factor: 2.506

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