Painting a Truer Picture of US Socioeconomic and Racial/Ethnic Health Inequalities: The Public Health Disparities Geocoding Project
We describe a method to facilitate routine monitoring of socioeconomic health disparities in the United States. We analyzed geocoded public health surveillance data including events from birth to death (c. 1990) linked to 1990 census tract (CT) poverty data for Massachusetts and Rhode Island. For vi...
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Published in: | American journal of public health (1971) Vol. 95; no. 2; pp. 312 - 323 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Washington, DC
Am Public Health Assoc
01-02-2005
American Public Health Association American Journal of Public Health 2005 |
Subjects: | |
Online Access: | Get full text |
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Summary: | We describe a method to facilitate routine monitoring of socioeconomic health disparities in the United States.
We analyzed geocoded public health surveillance data including events from birth to death (c. 1990) linked to 1990 census tract (CT) poverty data for Massachusetts and Rhode Island.
For virtually all outcomes, risk increased with CT poverty, and when we adjusted for CT poverty racial/ethnic disparities were substantially reduced. For half the outcomes, more than 50% of cases would not have occurred if population rates equaled those of persons in the least impoverished CTs. In the early 1990s, persons in the least impoverished CT were the only group meeting Healthy People 2000 objectives a decade ahead.
Geocoding and use of the CT poverty measure permit routine monitoring of US socioeconomic inequalities in health, using a common and accessible metric. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 Peer Reviewed Contributors N. Krieger originated and designed the study, directed the data analysis, and led the writing. J. T. Chen contributed to the study design, led the data analysis, and assisted with manuscript preparation. P.D. Waterman contributed to the study design, secured the data, and assisted with data analysis, interpretation, and manuscript preparation. D. H. Rehkopf assisted with the study and analyses. S. V. Subramanian assisted with study design and data interpretation. All authors helped to conceptualize ideas, interpret findings, and review drafts of the article. 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@hsph.harvard.edu). |
ISSN: | 0090-0036 1541-0048 |
DOI: | 10.2105/AJPH.2003.032482 |