Painting a Truer Picture of US Socioeconomic and Racial/Ethnic Health Inequalities: The Public Health Disparities Geocoding Project
Nancy Krieger, PhD,
Jarvis T. Chen, ScD,
Pamela D. Waterman, MPH,
David H. Rehkopf, MPH and
S.V. Subramanian, PhD
The authors are with the Department of Society, Human Development, and Health, Harvard School of Public Health, Boston, Mass.
Correspondence: Requests for reprints should be sent to Nancy Krieger, PhD, Department of Society, Human Development, and Health, Harvard School of Public Health, 677 Hunting-ton Ave, Boston, MA 02115 (e-mail: nkrieger{at}hsph.harvard.edu).
Objectives. We describe a method to facilitate routine monitoringof socioeconomic health disparities in the United States.
Methods. We analyzed geocoded public health surveillance dataincluding events from birth to death (c. 1990) linked to 1990census tract (CT) poverty data for Massachusetts and Rhode Island.
Results. For virtually all outcomes, risk increased with CTpoverty, and when we adjusted for CT poverty racial/ethnic disparitieswere substantially reduced. For half the outcomes, more than50% of cases would not have occurred if population rates equaledthose of persons in the least impoverished CTs. In the early1990s, persons in the least impoverished CT were the only groupmeeting Healthy People 2000 objectives a decade ahead.
Conclusions. Geocoding and use of the CT poverty measure permitroutine monitoring of US socioeconomic inequalities in health,using a common and accessible metric.
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