ArticleSexually transmitted diseases2020
Investigating the Impact of Using an Alternate Classification Method for Race and Hispanic Ethnicity on Rates of Reported Gonorrhea.
Article in Sexually transmitted diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Changes in Racial Disparities in Viral Suppression Among People with HIV from 2013-2020: A Statewide Cohort Study.Journal of racial and ethnic health disparities · 2026Article
- Response to Dr Robert E. Fullilove's Editorial Letter: "Race and Sexually Transmitted Diseases…Again?"Sexually transmitted diseases · 2020Article
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4 authors.
Funding
Abstract
backgroundWe aimed to examine how the classification of gonorrhea cases by race and Hispanic ethnicity (HE) affects the measurement of racial/HE disparities in the rates of reported gonorrhea.
methodsWe examined gonorrhea cases reported through the National Notifiable Diseases Surveillance System from January 1, 2010, to December 31, 2017, and assigned race and HE using (1) "current classification," where cases with HE are classified as Hispanic regardless of race (e.g., Hispanic, non-Hispanic White, and non-Hispanic Black), and 2) "alternate classification," which separates each race category by HE (e.g., Hispanic White and non-Hispanic White). We estimated annual gonorrhea rates during 2010 to 2017 by race/HE category and calculated disparity measures (index of disparity, population-attributable proportion, and Gini coefficient) for gonorrhea rates under each classification strategy.
resultsAll disparity measures revealed decreases in racial/HE disparities in the rates of reported gonorrhea during 2010 to 2017, regardless of classification strategy; however, the magnitude of the disparity and the percent change in the disparity over time varied across disparity measures.
conclusionsUnderstanding how classification of race/HE affects observed disparities is critical when monitoring interventions to reduce disparities and improve health equity.
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