Evidence map›Paper›PMID 39662981›Full record

ArticlePharmacoepidemiology and drug safety2024

Identification of Chronic Hypertension in Pregnancy in Three Administrative Data Sources Among Medicaid-Funded Births in California.

Erin Delker, Rebecca J Baer, Christina D Chambers, Gretchen Bandoli

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Erin DelkerDepartment of Pediatrics, University of California San Diego, San Diego, California, USA.
Rebecca J BaerDepartment of Pediatrics, University of California San Diego, San Diego, California, USA.
Christina D ChambersDepartment of Pediatrics, University of California San Diego, San Diego, California, USA.
Gretchen BandoliDepartment of Pediatrics, University of California San Diego, San Diego, California, USA.

Funding

Applying Machine Learning in the Prediction and Identification of Children Affected by Prenatal Alcohol ExposureK01AA027811 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDOLI, GRETCHEN E. · 2019 to 2023
$865k
NIAAA NIH HHS K01 AA027811Thrasher Research Fund 01596
6 · The paper itself

Abstract

purposeAdministrative data sources are used to describe the epidemiology of chronic hypertension in pregnancy and its consequences. Differences in identification across sources may affect research estimates. We compared identification of chronic hypertension in birth certificate records, hospital discharge records, and Medi-Cal claims in the same individuals.

methodsWe used data from 820 140 2016-2020 California Medi-Cal covered births. We identified chronic hypertension on birth certificates using the prepregnancy hypertension check box and in hospital discharge records and Medi-Cal claims using ICD codes. We compared the prevalence of chronic hypertension and identified predictors of agreement. We also compared absolute and relative estimates of racial/ethnic disparities in chronic hypertension and associations with neonatal outcomes.

resultsThe prevalence of chronic hypertension was 0.7% in birth records, 2.1% in hospital discharge records, and 3.9% in Medi-Cal claims. There was low to fair agreement between birth certificate records and hospitalization records (kappa = 0.36) and Medi-Cal claims (kappa = 0.25). Characteristics associated with the worst agreement were eligibility for Women Infant and Children benefits, US-born, and normal body mass index. Estimates of the relative risk for racial/ethnic disparities and associations with preterm birth and SGA age at delivery were similar across sources. Estimates of risk differences were larger in hospitalization and Medi-Cal claims data.

conclusionsReliance on birth certificate data may contribute to underestimated prevalence estimates and biased causal estimates. Epidemiologic research and public health surveillance of chronic hypertension and its consequences should incorporate data from multiple data sources to improve validity of estimates.

Indexed as

Birth CertificatesHypertensionMedicaidAdultCaliforniaChronic DiseaseFemaleHumansHypertension, Pregnancy-InducedInfant, NewbornInformation SourcesPregnancyPregnancy Complications, CardiovascularPrevalenceUnited StatesYoung Adultadministrative datachronic hypertensiondiagnosis codespregnancy

Identifiers

PMID39662981
PMCPMC11634560

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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.