Evidence map›Paper›PMID 36603709›Full record

ArticleAnnals of epidemiology2023

Linked birth cohort files for perinatal health research: California as a model for methodology and implementation.

Beate H Danielsen, Suzan L Carmichael, Jeffrey B Gould, Henry C Lee

Abstract read
In one paragraph

Article in Annals of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Differential transport patterns by race and ethnicity in very low birth weight infants.Journal of perinatology : official journal of the California Perinatal Association · 2026
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  15. Are racial and ethnic disparities in brachial plexus birth injuries explained by known risk factors?Journal of perinatology : official journal of the California Perinatal Association · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Beate H DanielsenHealth Information Solutions, Rocklin, CA, USA.
Suzan L CarmichaelDivision of Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Division of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: suzanc@stanford.edu.
Jeffrey B GouldDivision of Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Henry C LeeDivision of Neonatology, Department of Pediatrics, University of California San Diego, CA, USA.

Funding

Severe Maternal Morbidity: An Investigation of Racial-Ethnic Disparities, Social Disadvantage & Maternal WeightR01NR017020 · NINR · STANFORD UNIVERSITY · PI SUZAN L CARMICHAEL · 2018 to 2026
$5.2M
Building a causal pathway framework to identify interventions to prevent severe maternal morbidityR01NR020335 · NINR · STANFORD UNIVERSITY · PI CARMICHAEL, SUZAN L · 2021 to 2025
$3.7M
NINR NIH HHS R01 NR017020NINR NIH HHS R01 NR020335
6 · The paper itself

Abstract

purposeRigorous perinatal epidemiologic research depends on population-based parental and neonatal sociodemographic and clinical data. Here we describe the creation of linked birth cohort files, an enriched data source that combines information from vital records with maternal delivery and infant hospital encounter records.

methodsProbabilistic linkage techniques were used to link vital records (i.e., birth and fetal death certificates) from the California Department of Public Health with hospital inpatient, ambulatory surgery and emergency department encounter data for mothers and infants from the California Department of Health Care Access and Information.

resultsFrom 2012 to 2018, 95% of live birth records were successfully linked to maternal and newborn hospital records while 85% of fetal death records were linked to a maternal delivery record. Overall, 93% of postnatal hospital encounters of infants (i.e., <1 year old) were matched to a linked record.

conclusionsThe linked birth cohort files is a rich resource opening many possibilities for understanding perinatal health outcomes and opportunities for linkage to longitudinal, social determinant, and environmental data. To optimally use this file for research, analysts should evaluate possible shortcomings or biases of the data sources being linked.

Indexed as

Birth CohortMothersBirth CertificatesCaliforniaFemaleFetal DeathHumansInfantInfant, NewbornPregnancyBirthData linkageInfant healthMaternal healthPregnancy

Identifiers

PMID36603709
PMCPMC9957937

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.