Evidence map›Paper›PMID 36640121›Full record

ArticleBirth defects research2023

Agreement between maternal report and medical records on use of medications during early pregnancy in New York.

Meredith M Howley, Sarah C Fisher, Margueritta A Fuentes, Martha M Werler, Melissa Tracy, Marilyn L Browne, Birth Defects Study To Evaluate Pregnancy ExposureS

Abstract read
In one paragraph

Article in Birth defects research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Meredith M HowleyBirth Defects Registry, New York State Department of Health, Albany, New York, USA.ORCID 0000-0002-8420-5040
Sarah C FisherBirth Defects Registry, New York State Department of Health, Albany, New York, USA.ORCID 0000-0002-4702-1007
Margueritta A FuentesBirth Defects Registry, New York State Department of Health, Albany, New York, USA.
Martha M WerlerDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
Melissa TracyDepartment of Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, New York, USA.
Marilyn L BrowneBirth Defects Registry, New York State Department of Health, Albany, New York, USA.
Birth Defects Study To Evaluate Pregnancy ExposureS

Funding

New York State Component A: BD-STEPS II CoreU01DD001227 · DD · CENTER OF ENVIRONMENTAL HEALTH · PI HOWLEY, MEREDITH M · 2018 to 2022
$4.2M
New York State BD-STEPSU01DD001032 · DD · CENTER OF ENVIRONMENTAL HEALTH · PI BROWNE, MARILYN L. · 2013 to 2017
$3.5M
CDC HHS DD09-001CDC HHS DD13-003EPA EP-D-18-001HSRD VA CDP 13-003NCBDD CDC HHS U01 DD001032NCBDD CDC HHS U01 DD001227
6 · The paper itself

Abstract

backgroundStudies evaluating associations between medication use in pregnancy and birth outcomes rely on various sources of exposure information. We sought to assess agreement between self-reported use of medications during early pregnancy and medication information in prenatal medical records to understand the reliability of each of these information sources.

methodsWe compared self-reported prescription medication use in early pregnancy to medical records from 184 New York women with deliveries in 2018 who participated in the Birth Defects Study To Evaluate Pregnancy exposureS. We assessed medications used chronically and episodically, and medications within 12 therapeutic groups. We calculated agreement using kappa (κ) coefficients, sensitivity, and specificity. We assessed differences by case/control status, maternal age, education, time to interview, and interview language.

resultsMedications used chronically showed substantial agreement between self-report and medical records (κ = 0.75, 0.61-0.88), with agreement for therapeutic groups used chronically ranging from κ = 0.61 for antidiabetics to κ = 1.00 for antihypertensives. Prescription medications used episodically showed worse agreement (κ = 0.40, 0.25-0.54), with the lowest agreement for opioid analgesics (κ = 0.20) and anti-infectives (κ = 0.33). Agreement did not differ by the characteristics examined, although we observed potential differences by interview language.

conclusionsAmong our sample, we observed good agreement between self-report and medical records for medications used chronically and substantially less agreement for medications used episodically. Differences by source may be due to poor recall in self-reports, non-adherence with prescribed medications and lack of complete prescription information within medical records. Limitations should be considered when assessing prescription medication exposures during early pregnancy in epidemiologic studies.

Indexed as

Medical RecordsPrescription DrugsFemaleHumansNew YorkPregnancyReproducibility of ResultsSelf ReportPrescription Drugsagreementexposure misclassificationkappapregnancyprescription medicationsself-reportvalidity

Identifiers

PMID36640121
PMCPMC12836282

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