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A Case Study of the Impact of Inaccurate Cause-of-Death Reporting on Health Disparity Tracking

New York City Premature Cardiovascular Mortality

Bibliographic Data

ID11029050
AuthorsLauren E Johns (At the time of the study, Lauren E. Johns was with the University of Michigan School of Public Health and the New York City Department of Health and Mental Hygiene, New York, NY. Ann M. Madsen, Gil Maduro, Regina Zimmerman, Kevin Konty, and Elizabeth Begier are with the New York City Department of Health and Mental Hygiene.), Ann M Madsen (At the time of the study, Lauren E. Johns was with the University of Michigan School of Public Health and the New York City Department of Health and Mental Hygiene, New York, NY. Ann M. Madsen, Gil Maduro, Regina Zimmerman, Kevin Konty, and Elizabeth Begier are with the New York City Department of Health and Mental Hygiene.), Ann Madsen (0000-0002-9206-708X, New York City Department of Health and Mental Hygiene), Gil Maduro (0000-0003-1746-578X, At the time of the study, Lauren E. Johns was with the University of Michigan School of Public Health and the New York City Department of Health and Mental Hygiene, New York, NY. Ann M. Madsen, Gil Maduro, Regina Zimmerman, Kevin Konty, and Elizabeth Begier are with the New York City Department of Health and Mental Hygiene.), Regina Zimmerman (At the time of the study, Lauren E. Johns was with the University of Michigan School of Public Health and the New York City Department of Health and Mental Hygiene, New York, NY. Ann M. Madsen, Gil Maduro, Regina Zimmerman, Kevin Konty, and Elizabeth Begier are with the New York City Department of Health and Mental Hygiene.), Kevin Konty (0000-0002-7156-7034, At the time of the study, Lauren E. Johns was with the University of Michigan School of Public Health and the New York City Department of Health and Mental Hygiene, New York, NY. Ann M. Madsen, Gil Maduro, Regina Zimmerman, Kevin Konty, and Elizabeth Begier are with the New York City Department of Health and Mental Hygiene.), Elizabeth Begier (0000-0002-1287-5416, At the time of the study, Lauren E. Johns was with the University of Michigan School of Public Health and the New York City Department of Health and Mental Hygiene, New York, NY. Ann M. Madsen, Gil Maduro, Regina Zimmerman, Kevin Konty, and Elizabeth Begier are with the New York City Department of Health and Mental Hygiene.)
Year2013
Volume103
Issue4
Pages733-739
Publication date2013-04-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2012.300683
PMID22994186
PMCIDPMC3673240
OpenAlexW2012616310
LanguageEN
Citations received2
References cited5

Objectives. Heart disease death overreporting is problematic in New York City (NYC) and other US jurisdictions. We examined whether overreporting affects the premature ( Methods. We identified overreporting hospitals and used counts of premature heart disease deaths at reference hospitals to estimate corrected counts. We then corrected citywide, age-adjusted premature heart disease death rates among Blacks and Whites and a White–Black premature heart disease death disparity. Results. At overreporting hospitals, 51% of the decedents were White compared with 25% at reference hospitals. Correcting the heart disease death counts at overreporting hospitals decreased the age-adjusted premature heart disease death rate 10.1% (from 41.5 to 37.3 per 100 000) among Whites compared with 4.2% (from 66.2 to 63.4 per 100 000) among Blacks. Correction increased the White–Black disparity 6.1% (from 24.6 to 26.1 per 100 000). Conclusions. In 2008, NYC’s White–Black premature heart disease death disparity was underestimated because of overreporting by hospitals serving larger proportions of Whites. Efforts to reduce overreporting may increase the observed disparity, potentially obscuring any programmatic or policy-driven advances

Cause of death · Disease · Environmental health · Heart disease · Life expectancy · Mortality rate · Population · Years of potential life lost · Autopsy Techniques and Outcomes · Census and Population Estimation · Demography · Global Cancer Incidence and Screening · Internal Medicine · Medicine · Gerontology

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Citations per year0.18
Citation span2015 - 2019 (5)
Highly citedNo

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