Monitoring Socioeconomic Inequalities in Sexually Transmitted Infections, Tuberculosis, and Violence: Geocoding and Choice of Area-Based Socioeconomic Measures—The Public Health Disparities Geocoding Project (US)

Abstract

Objectives. To determine which area-based socioeconomic measures, at which level of geography, are suitable for monitoring socioeconomic inequalities in sexually transmitted infections (STIs), tuberculosis (TB), and violence in the United States. Methods. Cross-sectional analysis of public health surveillance data, geocoded and linked to area-based socioeconomic measures generated from 1990 census tract, block group, and ZIP Code data. We included all incident cases among residents of either Massachusetts (MA; 1990 population = 6,016,425) or Rhode Island (RI; 1990 population = 1,003,464) for: STIs (MA: 1994–1998, n = 26,535 chlamydia, 7,464 gonorrhea, 2,619 syphilis; RI: 1994–1996, n = 4,473 chlamydia, 1,256 gonorrhea, 305 syphilis); TB (MA: 1993–1998, n = 1,793; RI: 1985–1994, n = 576), and non-fatal weapons related injuries (MA: 1995–1997, n = 6,628). Results. Analyses indicated that: ( a) block group and tract socioeconomic measures performed similarly within and across both states, with results more variable for the ZIP Code level measures; ( b) measures of economic deprivation consistently detected the steepest socioeconomic gradients, considered across all outcomes (incidence rate ratios on the order of 10 or higher for syphilis, gonorrhea, and non-fatal intentional weapons-related injuries, and 7 or higher for chlamydia and TB); and ( c) results were similar for categories generated by quintiles and by a priori categorical cut-points. Conclusions. Supplementing U.S. public health surveillance systems with census tract or block group area-based socioeconomic measures of economic deprivation could greatly enhance monitoring and analysis of social inequalities in health in the United States.