Evidence map›Paper›PMID 39625748›Full record

ArticleJMIR public health and surveillance2024

The University of California Study of Outcomes in Mothers and Infants (a Population-Based Research Resource): Retrospective Cohort Study.

Rebecca J Baer, Gretchen Bandoli, Laura Jelliffe-Pawlowski, Christina D Chambers

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Rebecca J Baer *Department of Pediatrics, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0001-8485-1977
Gretchen Bandoli *Department of Pediatrics, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0003-2167-8921
Laura Jelliffe-Pawlowski *The California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-6258-648X
Christina D Chambers *Department of Pediatrics, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0003-4675-7722

Funding

14/24 The Healthy Brain & Child Development National ConsortiumU01DA055369 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Gretchen E. Bandoli, CARLA B MARIENFELD · 2021 to 2026
$9.7M
Genomic and Environmental Determinants of Infant Deaths in San Diego County in 2015-2022R01HD101540 · NICHD · RADY PEDIATRIC GENOMICS & SYSTEMS MEDICINE INSTITUTE · PI CHAMBERS, CHRISTINA, KINGSMORE, STEPHEN FRANCIS · 2020 to 2024
$3.5M
NICHD NIH HHS R01 HD101540NIDA NIH HHS U01 DA055369
6 · The paper itself

Abstract

backgroundPopulation-based databases are valuable for perinatal research. The California Department of Health Care Access and Information (HCAI) created a linked birth file covering the years 1991 through 2012. This file includes birth and fetal death certificate records linked to the hospital discharge records of the birthing person and infant. In 2019, the University of California Study of Outcomes in Mothers and Infants received approval to create similar linked birth files for births from 2011 onward, with 2 years of overlapping birth files to allow for linkage comparison.

objectiveThis paper aims to describe the University of California Study of Outcomes in Mothers and Infants linkage methodology, examine the linkage quality, and discuss the benefits and limitations of the approach.

methodsLive birth and fetal death certificates were linked to hospital discharge records for California infants between 2005 and 2020. The linkage algorithm includes variables such as birth hospital and date of birth, and linked record selection is made based on a "link score." The complete file includes California Vital Statistics and HCAI hospital discharge records for the birthing person (1 y before delivery and 1 y after delivery) and infant (1 y after delivery). Linkage quality was assessed through a comparison of linked files and California Vital Statistics only. Comparisons were made to previous linked birth files created by the HCAI for 2011 and 2012.

resultsOf the 8,040,000 live births, 7,427,738 (92.38%) California Vital Statistics live birth records were linked to HCAI records for birthing people, 7,680,597 (95.53%) birth records were linked to HCAI records for the infant, and 7,285,346 (90.61%) California Vital Statistics birth records were linked to HCAI records for both the birthing person and the infant. The linkage rates were 92.44% (976,526/1,056,358) for Asian and 86.27% (28,601/33,151) for Hawaiian or Pacific Islander birthing people. Of the 44,212 fetal deaths, 33,355 (75.44%) had HCAI records linked to the birthing person. When assessing variables in both California Vital Statistics and hospital records, the percentage was greatest when using both sources: the rates of gestational diabetes were 4.52% (329,128/7,285,345) in the California Vital Statistics records, 8.2% (597,534/7,285,345) in the HCAI records, and 9.34% (680,757/7,285,345) when using both data sources.

conclusionsWe demonstrate that the linkage strategy used for this data platform is similar in linkage rate and linkage quality to the previous linked birth files created by the HCAI. The linkage provides higher rates of crucial variables, such as diabetes, compared to birth certificate records alone, although selection bias from the linkage must be considered. This platform has been used independently to examine health outcomes, has been linked to environmental datasets and residential data, and has been used to obtain and examine maternal serum and newborn blood spots.

Indexed as

Birth CertificatesAdultCaliforniaCohort StudiesFemaleHumansInfantInfant, NewbornMedical Record LinkageMothersPregnancyRetrospective StudiesUniversitiesadministrative dataadverse outcomebirth certificatebirth defectsbirth outcomeCaliforniachildrendata collectiondisparitieshospital dischargeinfant outcomelinkagepolicypregnancypregnancy outcomeprenatalpreterm birthvital statistics

Identifiers

PMID39625748
PMCPMC11653030

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LicenceCC BY
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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.