Evidence map›Paper›PMID 41285557›Full record

ArticlePharmacoepidemiology and drug safety2025

Comparison of Linked EHR-Pharmacy Data and Administrative Claims Data: Medication Fills During Pregnancy.

Gregory P Jansen, Gabriela Vazquez-Benitez, Kirsten Ehresmann, Elisabeth M Seburg, Margaret B Nolan, Kristin Palmsten

Abstract readComparative Study
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Gregory P JansenDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
Gabriela Vazquez-BenitezPregnancy and Child Health Research Center, HealthPartners Institute, Minneapolis, Minnesota, USA.
Kirsten EhresmannPregnancy and Child Health Research Center, HealthPartners Institute, Minneapolis, Minnesota, USA.
Elisabeth M SeburgPregnancy and Child Health Research Center, HealthPartners Institute, Minneapolis, Minnesota, USA.
Margaret B NolanPregnancy and Child Health Research Center, HealthPartners Institute, Minneapolis, Minnesota, USA.
Kristin PalmstenPregnancy and Child Health Research Center, HealthPartners Institute, Minneapolis, Minnesota, USA.ORCID 0000-0002-0134-6228

Funding

Treatment Initiation for New Episodes of Depression in Pregnant WomenR01HD100579 · NICHD · HEALTHPARTNERS INSTITUTE · PI PALMSTEN, KRISTIN · 2021 to 2025
$3.1M
Maternal COVID-19 Vaccination and Lactation OutcomesR01HD107753 · NICHD · HEALTHPARTNERS INSTITUTE · PI PALMSTEN, KRISTIN · 2022 to 2024
$2.0M
Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health R01HD107753NICHD NIH HHS R01 HD100579NICHD NIH HHS R01 HD107753
6 · The paper itself

Abstract

purposeElectronic health records (EHR) offer clinical details not available in claims data, which are typically used for studies of medications during pregnancy. Historically, medication prescriptions rather than fills have been documented in EHR. However, linked EHR-pharmacy databases incorporate medication fill information and could be used for perinatal medication safety studies.

methodsThis study compared fills of common medications during pregnancy using linked EHR-pharmacy data and claims data from a healthcare system in Minnesota, USA among patients with a delivery (2017-2021) and insurance coverage. We assessed prevalence differences and agreement using percent agreement and Cohen's κ for 27 medications. The percent of individuals with a fill according to one data source within ±1 day of their first medication fill in the other data source was assessed.

resultsAmong the 12 440 pregnancies included, there was a slightly higher prevalence of all medications of interest in linked EHR-pharmacy versus claims data. The prevalence difference was 1.5% for the medication with the largest difference. Percent agreement was > 97% for all medications; κ ≥ 0.870. The percentage of individuals with a fill according to linked EHR-pharmacy data within ±1 day of their first medication fill in claims data was higher than the reverse (claims data fill within ±1 day of linked EHR-pharmacy data fill) for all medications.

conclusionsAlthough agreement between sources was high, linked EHR-pharmacy data identified slightly more individuals with medication fills during pregnancy than claims data. Linked EHR-pharmacy data may provide comprehensive medication fill data for studying medications during pregnancy. PLAIN LANGUAGE SUMMARY: Many studies of medication safety during pregnancy rely on health insurance claims data. These data may not have important details about patient health. EHRs provide more complete clinical information, and they have been linked with pharmacy data to add prescription fill records. We assessed how well medication fill records agreed between linked EHR-pharmacy data and claims data for 27 commonly used medications in pregnancy. Using data from a Minnesota healthcare system, we analyzed records from 12 440 pregnancies occurring from 2017 to 2021 with health insurance benefits, prenatal care, and postnatal care. We compared the frequency of medication fills in each data source and assessed agreement using statistical methods. The datasets usually agreed on whether a patient filled a particular medication during pregnancy. However, linked EHR-pharmacy data identified slightly more individuals with medication fills during pregnancy than claims data. This suggests that linked EHR-pharmacy data may be useful for perinatal medication safety research.

Indexed as

Administrative Claims, HealthcareDrug PrescriptionsElectronic Health RecordsInsurance Claim ReviewAdultDatabases, FactualFemaleHumansMinnesotaPregnancyYoung Adultadministrative healthcare claimselectronic health recordspharmacoepidemiologypregnancyvalidation studies

Identifiers

PMID41285557
PMCPMC13650775

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.