Evidence map›Paper›PMID 35317778›Full record

ArticleBMC pregnancy and childbirth2022

Validation of birth certificate and maternal recall of events in labor and delivery with medical records in the Iowa health in pregnancy study.

Christina Ziogas, Jenna Hillyer, Audrey F Saftlas, Cassandra N Spracklen

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 20 citations in OpenAlex.

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  3. Maternal care deserts and risk of maternal morbidity in term pregnancies.American journal of obstetrics & gynecology MFM · 2026
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  9. Pregnancy episodes in All of Us: harnessing multi-source data for pregnancy-related research.Journal of the American Medical Informatics Association : JAMIA · 2024
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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 at 3 institutions in 1 country.

Christina ZiogasDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, 715 North Pleasant Street, 429 Arnold House, MA, 01003, Amherst, USA.
Jenna HillyerDepartment of Epidemiology, University of Iowa, Iowa City, IA, 52399, USA.
Audrey F SaftlasDepartment of Epidemiology, University of Iowa, Iowa City, IA, 52399, USA.
Cassandra N SpracklenDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, 715 North Pleasant Street, 429 Arnold House, MA, 01003, Amherst, USA. cspracklen@umass.edu.
University of Massachusetts Amherst · USUniversity of Iowa · USWinona State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological research of events related to labor and delivery frequently uses maternal interview or birth certificates as a primary method of data collection; however, the validity of these data are rarely confirmed. This study aimed to examine the validity of birth certificate data and maternal interview of maternal demographics and events related to labor and delivery with data abstracted from medical records in a US setting.

methodsBirth certificate and maternal recall data from the Iowa Health in Pregnancy Study (IHIPS), a population-based case-control study of risk factors for preterm and small-for-gestational age births, were linked to medical record data to assess the validity of events that occurred during labor and delivery along with reported maternal demographics. Sensitivity, specificity, positive and negative predictive values, and kappa scores were calculated.

resultsPostpartum maternal recall and birth certificate data were excellent for infant characteristics (birth weight, gestational age, infant sex) and variables related to labor and delivery (mode of delivery) when compared with medical records. Birth certificate data for labor induction had low sensitivity (46.3%) and positive predictive value (18.3%) compared to medical records. Compared to maternal interview, birth certificate data also had poor agreement for smoking and alcohol use during pregnancy. Agreement between all three methods of data collection was very low for pregnancy weight gain (kappa = 0.07-0.08).

conclusionsMaternal interview and birth certificate data can be a valid source for collecting data on infant characteristics and events that occurred during labor and delivery. However, caution should be used if solely using birth certificate data to gather data on maternal demographic and/or lifestyle factors.

Indexed as

Birth CertificatesDelivery, ObstetricLabor, ObstetricMedical RecordsMental RecallAlcohol DrinkingCase-Control StudiesFemaleHumansInterviews as TopicIowaLabor, InducedMothersPregnancyReproducibility of ResultsSmokingBirth certificateChild birthMedical recordsPregnancyValidationValidation study

Identifiers

PMID35317778
PMCPMC8939232
OpenAlexW4221106559

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.