A3.3 Measuring Racial/Ethnic Disparities in Gonorrhea by Gender, Sexual Orientation, and Region, California 1990–2010: How You Slice It Matters

Tuesday, March 13, 2012: 10:35 AM
Regency
Michael Samuel, DrPH1, Carol Kong, MPH1, Denise Gilson, BS2 and Heidi Bauer, MD, MPH, MS3, 1Surveillance and Epidemiology Section, California Department of Public Health, STD Control Branch, Richmond, CA, 2Surveillance and Epidemiology Section, California Department of Public Helath, STD Control Branch, Sacramento, CA, 3Program Development and Evaluation, California Department of Public Health, STD Control Branch, Richmond, CA

Background: Measuring health disparities is a public health priority. Racial/ethnic (R/E) disparities in gonorrhea (GC) rates are extreme.

Objectives:  Assess to what degree observed disparities are confounded by demographic/risk groups.

Methods: We used 1990–2010 California (CA) GC case data to describe GC R/E rate ratios (RR) by time, gender and county.  Enhanced 2007-2010 sample-based GC data and population-based MSM estimates were used to model rates by sexual orientation (SO) and R/E.

Results:  Rates decreased from 181.3/100,000 in 1990 (N=54076) to a nadir of 55.8 in 1999, increased through 2005 then decreased to 69.1 in 2010 (N=26840). This pattern was seen in all groups. Black rates were higher than other races in all years (up to 31.7 times higher than whites). Decreases were seen in the black:white (B:W) RR for males 1990–2003, followed by steady RRs through 2010; there was no trend in the B:W RR for females.  Among the 15 largest CA counties, the B:W RR varied substantially and the % change in the B:W RR 1990-2010 also varied substantially and differed by gender. The MSM proportion among male cases increased from 44% to 60% 2007-2010 and differed by R/E; in 2010, 84% of white males with GC were MSM compared to 22% of black males. Based on gender only, in 2010 the B:W RR for females (17.5) was >2 times larger than for males (7.7); however, when considering SO, the B:W RR was >2 times larger for heterosexual males (38.1) than for females (17.5) and >19 times larger than MSM (2.0).

Conclusions:  Black GC R/E disparities are large and vary by gender, county and SO. A large proportion of GC cases are MSM, and this varies by R/E. GC R/E disparities are much larger for heterosexuals than MSM.

Implications for Programs, Policy, and Research: Controlling for confounders is critical to accurately measure, and ultimately reduce, GC disparities.