Reliability of Indiana Birth Certificate Data Compared to Medical Records

Zollinger, Terrell W.; Przybylski, Michael; Gamache, Roland E.

doi:10.1016/j.annepidem.2005.03.005

Cited by 121 publications

(112 citation statements)

References 19 publications

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“…35 Similar variability in accuracy of birth certificate data has been noted elsewhere. 36,37 Our findings involved mostly variables with good validity and reliability, such as birth weight and maternal age, and hence are credible.…”

Section: Discussionmentioning

confidence: 99%

Birth characteristics and Wilms tumor in Minnesota

Puumala

Soler

Johnson

et al. 2007

Intl Journal of Cancer

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Wilms tumor (WT) is a childhood kidney cancer with the highest rate of occurrence before the age of 2. Since it is rare, previous research has been limited and few risk factors have been established. We used a case‐cohort design to examine the influence of birth characteristics on occurrence of WT in Minnesota. A total of 2,188 cases of cancer diagnosed in children aged 28 days to 14 years from 1988 to 2004 were identified using the Minnesota Cancer Surveillance System (MCSS). For each case, 4 children were randomly selected from Minnesota birth records during 1976–2004, frequency matched on birth year. Thus, a total of 8,752 children comprised the subcohort for the study, who in this analysis, served as comparison to the 138 cases of WT. Study variables included parental demographics, maternal pregnancy history and conditions and health and conditions of the child at birth. Associations with WT were assessed using hazard ratios (HR) and 95% confidence intervals (CI) calculated from stratified Cox regression models. We found an increased risk of WT for children who were large for gestational age compared to those average for gestational age and for children with congenital abnormalities. There was also an increased risk for children with a birth weight > 4,000 g compared to those with a birth weight between 2,500 and 4,000 g. All other factors examined showed no association with WT. This study contributes to the mounting evidence that children with large size at birth have an increased risk of WT. © 2007 Wiley‐Liss, Inc.

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Section: Discussionmentioning

confidence: 99%

Birth characteristics and Wilms tumor in Minnesota

Puumala

Soler

Johnson

et al. 2007

Intl Journal of Cancer

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“…Standards differ conceptually from references, and exclusion criteria used to generate them cannot be rigorously applied given the limitations of vital records data. [19][20][21][22][23] …”

Section: Analysis Planmentioning

confidence: 99%

United States Birth Weight Reference Corrected For Implausible Gestational Age Estimates

et al. 2014

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WHAT'S KNOWN ON THIS SUBJECT: Population-based references of birth weight for gestational age are useful indices of birth size in clinical and research settings. WHAT THIS STUDY ADDS:This article uses 2009-2010 US natality data and corrects for likely errors in gestational age dating to yield an up-to-date birth weight for gestational age reference. abstract OBJECTIVES: To provide an updated US birth weight for gestational age reference corrected for likely errors in last menstrual period (LMP)-based gestational age dating, as well as means and SDs, to enable calculation of continuous and categorical measures of birth weight for gestational age. METHODS:From the 2009-2010 US live birth files, we abstracted singleton births between 22 and 44 weeks of gestation with at least 1 nonmissing estimate of gestational age (ie, LMP or obstetric/clinical) and birth weight. Using an algorithm based on birth weight and the concordance between these gestational age estimates, implausible LMPbased gestational age estimates were either excluded or corrected by using the obstetric/clinical estimate. Gestational age-and sex-specific birth weight means, SDs, and smoothed percentiles (3rd, 5th, 10th, 90th, 95th, 97th) were calculated, and the 10th and 90th percentiles were compared with published population-based references.RESULTS: A total of 7 818 201 (99% of eligible) births were included. The LMP-based estimate of gestational age comprised 85% of the dataset, and the obstetric/clinical estimate comprised the remaining 15%. Cut points derived from the current reference identified ∼10% of births as #10th and $90th percentiles at all gestational weeks, whereas cut points derived from previous US-based references captured variable proportions of infants at these thresholds within the preterm and postterm gestational age ranges.CONCLUSIONS: This updated US-based birth weight for gestational age reference corrects for likely errors in gestational age dating and allows for the calculation of categorical and continuous measures of birth size. Pediatrics 2014;133:844-853 AUTHORS:

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“…[15][16][17] The use of hospital discharge claims in conjunction with birth certificate records can greatly improve the ascertainment of medical conditions that have an impact on pregnancy. 18 For the present research, women in the cohort with GDM indicated on the birth certificate or with an ICD-9 code of 648.8 (GDM) in the hospital discharge claim were considered to have GDM.…”

Section: Independent Variables Of Interest Prenatal Carementioning

confidence: 99%

Variation in Excessive Fetal Growth across Levels of Prenatal Care among Women with Gestational Diabetes

Hale

Probst

Liu

et al. 2011

J Prim Care Community Health

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Objective: Examine the association between prenatal care and excessive fetal growth outcomes among mothers with gestational diabetes mellitus (GDM). Methods: We conducted a retrospective analysis of 2004-2007 singleton live births to South Carolina women, limited to those for whom both birth certificate and hospital discharge data were available (N = 179 957). Gestational diabetes mellitus was identified from birth certificate and/or hospital discharge claims. Measures of excessive fetal growth were large for gestational age (90th and 95th percentiles) and macrosomia (birth weight > 4500 g). The Adequacy of Prenatal Care Utilization index was used to measure prenatal care. Results: Gestational diabetes mellitus was recorded for 6.9% of women in the study population. Women with GDM were more likely than other women to have an infant with excessive fetal growth, regardless of the level of prenatal care; however, there was a significant interaction between GDM status and levels of prenatal care. All women with GDM had increased odds for large infant outcomes. However, those receiving inadequate prenatal care were markedly more likely to experience excessive fetal growth outcomes (odds ratio = 1.38, confidence interval = 1.15-1.66) than women also with GDM and intermediate/adequate prenatal care. Similar patterns were noted for large for gestational age (95th) and macrosomia (total birth weight ≥ 4500 g). Conclusions: Observed associations suggest a link between inadequate prenatal care and a higher risk for excessive fetal growth among women with GDM. Further research is needed to clarify the nature of the association and suggest ways to get high-risk women into care sooner.

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Reliability of Indiana Birth Certificate Data Compared to Medical Records

Cited by 121 publications

References 19 publications

Birth characteristics and Wilms tumor in Minnesota

Birth characteristics and Wilms tumor in Minnesota

United States Birth Weight Reference Corrected For Implausible Gestational Age Estimates

Variation in Excessive Fetal Growth across Levels of Prenatal Care among Women with Gestational Diabetes

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