Evidence map›Paper›PMID 42282853›Full record

ArticlePregnancy (Hoboken, N.J.)2026

Length of gestation and postpartum visit attendance.

Kristan Scott, Evan Miller, Jennifer F Culhane, Jay Greenspan, Sara C Handley, Justin Y Lo, Lindsey A Knake, Kathryn M McKenney, Timothy D Nelin, Emily F Gregory and 2 more

Abstract read
In one paragraph

Article in Pregnancy (Hoboken, N.J.), 2026. 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

12 authors.

Kristan ScottDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Evan MillerBiomedical Research Informatics Center (BRIC), Nemours Children's Health, Wilmington, DE, USA.
Jennifer F CulhaneDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA.
Jay GreenspanDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Sara C HandleyDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Justin Y LoDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA.
Lindsey A KnakeDivision of Neonatology, Department of Pediatrics, University of Iowa, Iowa City, IA, USA.
Kathryn M McKenneyDepartment of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA.
Timothy D NelinDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Emily F GregoryDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Kevin DysartDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Heather H BurrisDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Funding

Pediatric Hospital Epidemiology and Outcomes Research Training ProgramT32HD060550 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI Christopher Peter Bonafide, John Chris Feudtner · 2010 to 2026
$6.8M
The impact of delivery hospital organizational structure and culture on perinatal outcomesK23HD109426 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI Sara Christine Handley · 2023 to 2026
$621k
NICHD NIH HHS K23 HD109426NICHD NIH HHS T32 HD060550
6 · The paper itself

Abstract

Introduction –: Approximately 40% of obstetric patients do not attend a postpartum visit. Postpartum parents of preterm infants (<37 weeks) are often sicker than parents of full-term infants. Nonetheless, they may forgo postpartum visits to attend to the needs of their infant when admitted to the neonatal intensive care unit. Our goal was to evaluate whether postpartum visit attendance varied with length of gestation at birth, hypothesizing after preterm birth, parents would be less likely to attend postpartum visits than after full-term birth. Methods –: Retrospective cohort study of births in Epic Systems Cosmos research platform (2018-2024), a national electronic health record database with deidentified, patient-level data. To increase the likelihood that postpartum visits, if attended, would be captured by Cosmos, we only included births with prenatal visits in the database. Bivariate analyses examined characteristics associated with not attending postpartum visits. Multilevel, multivariable, modified Poisson regression models calculated adjusted risk ratios of not attending postpartum visits after various lengths of gestation compared to full-term birth (39-40 weeks). Models adjusted for age, race and ethnicity, insurance, residential Centers for Disease Control and Prevention Social Vulnerability Index, rural versus urban residence, smoking, body mass index (BMI), hypertension, diabetes, parity, cesarean birth, and birth year. Results –: Of the 2,403,574 included births, 653,552 (27%) parents did not attend a postpartum visit. For the several characteristics with significant differences in visit attendance rates, notably high rates of not attending a postpartum visit were observed for Black non-Hispanic race and ethnicity (32%), smoking during pregnancy (56%), BMI >30 kg/m Conclusions –: Compared to full term birth, all other length of gestation categories, were significantly associated with not attending a postpartum visit, with periviable birth at highest risk. Interdisciplinary, innovative approaches to provide postpartum care to this vulnerable population are needed.

Indexed as

maternal morbidityMaternal mortalitymother-infant dyadneonatal intensive care unitpostpartum carepreterm birth

Identifiers

PMID42282853
PMCPMC13251813

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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.