Literature DB >> 3104977

Analysis of unlinked infant death certificates from the NIMS project.

D A Lambert, L T Strauss.   

Abstract

The National Infant Mortality Surveillance (NIMS) project used linked birth and infant death certificates to calculate birth weight-specific infant mortality risks for the 1980 U.S. birth cohort. Record linkage depends on complete registration of vital events, interstate exchange of vital records, accurate information on certificates, and a comprehensive linkage system. States reported 2,604 unlinked infant death certificates for 1980, ranging from 0 to 397 per State. Age at death for these infants ranged from 1 minute to 11 months. More than 41 percent of the unlinked death certificates were for postneonates, compared with 32.5 percent found in the cohort's total infant death experience. Only 38.2 percent of the unlinked infant death certificates showed strictly intrastate events (birth and death occurrence, and residence at death all in one State), compared with 92.9 percent in the cohort's total infant death experience. Estimates of the percentage successfully linked by State ranged from 86.0 to 100.0. After adjusting for the certainly unlinked infant death certificates, nine States' infant mortality risks increased by more than 0.2 per 1,000 live births. Improvements are needed both within and between States to ensure more complete birth and infant death certificate linkage.

Entities:  

Keywords:  Americas; Biology; Birth Records; Birth Weight; Body Weight; Cohort Analysis; Data Analysis; Data Collection; Data Files; Data Sources; Death Records; Demographic Factors; Developed Countries; Developing Countries; Error Sources; Evaluation; Infant Mortality; Measurement; Mortality; North America; Northern America; Physiology; Population; Population Dynamics; Population Statistics; Reliability; Research Methodology; United States; Vital Statistics

Mesh:

Year:  1987        PMID: 3104977      PMCID: PMC1477815     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  8 in total

1.  Birth weight, fetal age and perinatal mortality.

Authors:  M Susser; F A Marolla; J Fleiss
Journal:  Am J Epidemiol       Date:  1972-09       Impact factor: 4.897

2.  Identifying the sources of the recent decline in perinatal mortality rates in California.

Authors:  R L Williams; P M Chen
Journal:  N Engl J Med       Date:  1982-01-28       Impact factor: 91.245

3.  Neonatal mortality risk for the eighties: the importance of birth weight/gestational age groups.

Authors:  A G Philip; G A Little; D R Polivy; J F Lucey
Journal:  Pediatrics       Date:  1981-07       Impact factor: 7.124

4.  The underregistration of neonatal deaths: Georgia 1974--77.

Authors:  B J McCarthy; J Terry; R W Rochat; S Quave; C W Tyler
Journal:  Am J Public Health       Date:  1980-09       Impact factor: 9.308

5.  Overview of the National Infant Mortality Surveillance (NIMS) project--design, methods, results.

Authors:  C J Hogue; J W Buehler; L T Strauss; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

6.  Experiences with linked birth and infant death certificates from the NIMS project.

Authors:  L T Strauss; M A Freedman; N Gunter; E Powell-Griner; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

7.  Racial differences between linked birth and infant death records in Washington State.

Authors:  F Frost; K K Shy
Journal:  Am J Public Health       Date:  1980-09       Impact factor: 9.308

8.  A comparison of 1960 and 1973--1974 early neonatal mortality in selected states.

Authors:  J C Kleinman; M G Kovar; J J Feldman; C A Young
Journal:  Am J Epidemiol       Date:  1978-12       Impact factor: 4.897

  8 in total
  10 in total

1.  Birthweight-specific infant mortality for native Americans compared with whites, six states, 1980.

Authors:  M J Vanlandingham; J W Buehler; C J Hogue; L T Strauss
Journal:  Am J Public Health       Date:  1988-05       Impact factor: 9.308

2.  Young maternal age and infant mortality: the role of low birth weight.

Authors:  A Friede; W Baldwin; P H Rhodes; J W Buehler; L T Strauss; J C Smith; C J Hogue
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

3.  Birth weight-specific infant mortality due to congenital anomalies, 1960 and 1980.

Authors:  R J Berry; J W Buehler; L T Strauss; C J Hogue; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

4.  Birth weight-specific infant mortality, United States, 1960 and 1980.

Authors:  J W Buehler; J C Kleinman; C J Hogue; L T Strauss; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

5.  Regional differences in birth weight-specific infant mortality, United States, 1980.

Authors:  D M Allen; J W Buehler; C J Hogue; L T Strauss; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

6.  Overview of the National Infant Mortality Surveillance (NIMS) project--design, methods, results.

Authors:  C J Hogue; J W Buehler; L T Strauss; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

7.  Experiences with linked birth and infant death certificates from the NIMS project.

Authors:  L T Strauss; M A Freedman; N Gunter; E Powell-Griner; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

8.  Variation in state-specific infant mortality risks.

Authors:  J S Marks; J W Buehler; L T Strauss; C J Hogue; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

9.  Birth weight-specific causes of infant mortality, United States, 1980.

Authors:  J W Buehler; L T Strauss; C J Hogue; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

10.  Differences in neonatal and postneonatal mortality by race, birth weight, and gestational age.

Authors:  W M Sappenfield; J W Buehler; N J Binkin; C J Hogue; L T Strauss; J C Smith
Journal:  Public Health Rep       Date:  1987 Mar-Apr       Impact factor: 2.792

  10 in total

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