An Exploration of Changes in the Measurement of Mammography in the National Health Interview Survey

Cancer Epidemiol Biomarkers Prev. 2017 Nov;26(11):1611-1618. doi: 10.1158/1055-9965.EPI-17-0213. Epub 2017 Sep 8.

Abstract

Background: Using the National Health Interview Survey (NHIS), we examined the effect of question wording on estimates of past-year mammography among racially/ethnically diverse women ages 40-49 and 50-74 without a history of breast cancer.Methods: Data from one-part ("Have you had a mammogram during the past 12 months?") and two-part ("Have you ever had a mammogram"; "When did you have your most recent mammogram?") mammography history questions administered in the 2008, 2011, and 2013 NHIS were analyzed. χ2 tests provided estimates of changes in mammography when question wording was either the same (two-part question) or differed (two-part question followed by one-part question) in the two survey years compared. Crosstabulations and regression models assessed the type, extent, and correlates of inconsistent responses to the two questions in 2013.Results: Reports of past-year mammography were slightly higher in years when the one-part question was asked than when the two-part question was asked. Nearly 10% of women provided inconsistent responses to the two questions asked in 2013. Black women ages 50 to 74 [adjusted OR (aOR), 1.50; 95% confidence interval (CI), 1.16-1.93] and women ages 40-49 in poor health (aOR, 2.22; 95% CI, 1.09-4.52) had higher odds of inconsistent responses; women without a usual source of care had lower odds (40-49: aOR, 0.42; 95% CI, 0.21-0.85; 50-74: aOR, 0.42; 95% CI, 0.24-0.74).Conclusions: Self-reports of mammography are sensitive to question wording. Researchers should use equivalent questions that have been designed to minimize response biases such as telescoping and social desirability.Impact: Trend analyses relying on differently worded questions may be misleading and conceal disparities. Cancer Epidemiol Biomarkers Prev; 26(11); 1611-8. ©2017 AACR.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Bias
  • Black or African American / statistics & numerical data
  • Breast Neoplasms / diagnostic imaging*
  • Female
  • Health Surveys / methods*
  • Health Surveys / statistics & numerical data
  • Healthcare Disparities / statistics & numerical data
  • Humans
  • Mammography / statistics & numerical data*
  • Mammography / trends
  • Mass Screening / methods
  • Mass Screening / statistics & numerical data
  • Middle Aged
  • Self Report*