Literature DB >> 16173328

Racial and ethnic disparities in perinatal mortality: applying the perinatal periods of risk model to identify areas for intervention.

Melanie Besculides1, Fabienne Laraque.   

Abstract

OBJECTIVES: To determine the feto-infant mortality rate for New York City, assess racial/ethnic variations and identify areas for intervention using the Perinatal Periods of Risk (PPOR) approach.
METHODS: The PPOR model examines fetal and infant deaths by age at death (fetal, neonatal, postneonatal) and birthweight (500-1499, > or =1500 g). It groups age at death and birthweight into four categories to identify problems hypothesized to lead to the death: factors related to Maternal Health and Prematurity, Maternal Care, Newborn Care and Infant Health. The model was applied to fetal and infant deaths occurring in New York City using Vital Records data from 1996-2000. Analysis was completed for the entire city and by race/ethnicity (white non-Hispanic, black non-Hispanic, Hispanic, Asians/Pacific Islander).
RESULTS: The overall feto-infant mortality rate was 11.5/1,000 live births plus fetal deaths. This rate varied by race/ethnicity; black non-Hispanics had a higher rate than other racial/ethnic groups. Conditions related to maternal health and prematurity were the largest contributing factors to feto-infant mortality (5.9/1000) in New York City. Among blacks and Hispanics, problems related to maternal health and prematurity contributed a larger share than among whites and Asians/Pacific Islanders.
CONCLUSION: The use of the PPOR approach shows that the racial/ethnic disparities in feto-infant mortality that exist in New York City are largely related to maternal health and prematurity. Interventions to reduce the feto-infant mortality rate should include preconception care and improvements in women's health.

Entities:  

Mesh:

Year:  2005        PMID: 16173328      PMCID: PMC2576015     

Source DB:  PubMed          Journal:  J Natl Med Assoc        ISSN: 0027-9684            Impact factor:   1.798


  24 in total

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2.  Early origins of the gradient: the relationship between socioeconomic status and infant mortality in the United States.

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Review 3.  Perinatal substance abuse and the drug-exposed neonate.

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4.  Annual summary of vital statistics--2001.

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5.  Infant mortality statistics from the 2001 period linked birth/infant death data set.

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7.  Pregnancy intendedness and the use of periconceptional folic acid.

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  16 in total

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2.  Perinatal Periods of Risk Analysis: Disentangling Race and Socioeconomic Status to Inform a Black Infant Mortality Community Action Initiative.

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3.  Racial differences in gestational age-specific neonatal morbidity: further evidence for different gestational lengths.

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Journal:  Am J Obstet Gynecol       Date:  2011-12-24       Impact factor: 8.661

4.  Implications for Improving Fetal Death Vital Statistics: Connecting Reporters' Self-Identified Practices and Barriers to Third Trimester Fetal Death Data Quality in New York City.

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Journal:  Matern Child Health J       Date:  2016-02

5.  Risk Differences in Disease-Specific Infant Mortality Between Black and White US Children, 1968-2015: an Epidemiologic Investigation.

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Journal:  J Racial Ethn Health Disparities       Date:  2018-06-11

6.  Perinatal periods of risk: analytic preparation and phase 1 analytic methods for investigating feto-infant mortality.

Authors:  William M Sappenfield; Magda G Peck; Carol S Gilbert; Vera R Haynatzka; Thomas Bryant
Journal:  Matern Child Health J       Date:  2010-11

7.  Very low birth weight births in Georgia, 1994-2005: trends and racial disparities.

Authors:  Anne L Dunlop; Hamisu M Salihu; Gordon R Freymann; Colin K Smith; Alfred W Brann
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8.  One Key Question®: First Things First in Reproductive Health.

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9.  Understanding perinatal death: a systematic analysis of New York City fetal and neonatal death vital record data and implications for improvement, 2007-2011.

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Journal:  Matern Child Health J       Date:  2014-10

10.  Excess Hispanic fetal-infant mortality in a midwestern community.

Authors:  Gerald L Hoff; Jinwen Cai; Felix A Okah; Paul C Dew
Journal:  Public Health Rep       Date:  2009 Sep-Oct       Impact factor: 2.792

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