Evidence map›Paper›PMID 39821750›Full record

ArticleAmerican journal of perinatology2026

The Relationship between Various Measures of Perinatal Quality.

Nansi S Boghossian, Lucy T Greenberg, Jeffrey S Buzas, Ciaran S Phibbs, Molly Passarella, Jeannette Rogowski, George R Saade, Scott A Lorch

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of perinatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Nansi S BoghossianDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina.
Lucy T GreenbergVermont Oxford Network, Burlington, Vermont.
Jeffrey S BuzasDepartment of Mathematics and Statistics, University of Vermont, Burlington, Vermont.
Ciaran S PhibbsHealth Economics Resource Center and Center for Implementation to Innovation, Veterans Affairs Palo Alto Health Care System, Menlo Park, California.
Molly PassarellaDepartment of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania.
Jeannette RogowskiDepartment of Health Policy and Administration, The Pennsylvania State University, State College, Pennsylvania.
George R SaadeDepartment of Obstetrics & Gynecology, Eastern Virginia Medical School, Norfolk, Virginia.
Scott A LorchDepartment of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania.

Funding

Hospital quality, Medicaid expansion, and racial/ethnic disparitiesin maternal mortality and morbidityR01MD016012 · NIMHD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI BOGHOSSIAN, NANSI · 2020 to 2024
$3.2M
Obstetric delivery volume, regionalization, and maternal and infant outcomesR01HD099197 · NICHD · STANFORD UNIVERSITY · PI PHIBBS, CIARAN S. · 2020 to 2023
$2.7M
Effect of Changing NICU Patient Volumes and Levels of Care on Neonatal OutcomesR01HD084819 · NICHD · STANFORD UNIVERSITY · PI LORCH, SCOTT A, PHIBBS, CIARAN S. · 2016 to 2018
$1.1M
NICHD NIH HHS R01 HD084819NICHD NIH HHS R01 HD099197NIMHD NIH HHS R01HD084819,R01HD099197,R01MD016012NIMHD NIH HHS R01 MD016012
6 · The paper itself

Abstract

This study aimed to examine the correlations between pairs of maternal, infant, and maternal-infant dyad quality measures to provide a comprehensive assessment of perinatal care.In a retrospective cohort study using birth and fetal death certificates linked to hospital discharge data from Michigan, Oregon, Pennsylvania, and South Carolina (2016-2018), we examined correlations between pairs of maternal, infant, and maternal-infant dyad quality measures. Maternal quality measures included nulliparous term singleton vertex (NTSV) cesarean birth, nontransfusion severe maternal morbidity (SMM), and a composite maternal outcome. Infant quality was assessed with a composite outcome measure, whereas the dyad measure combined maternal and infant outcomes.Among 955,904 dyads across 266 hospitals, 25.9% had NTSV, 0.7% had nontransfusion SMM, 12.3% had the composite infant measure, and 19.3% had the dyad measure. The correlation between nontransfusion SMM and the dyad measure was 0.12, whereas the correlation between the composite infant measure and the dyad measure was 0.86, which was higher than the correlation between the composite maternal measure and the dyad measure (0.47).We observed minimal correlations among these perinatal quality measures, especially when aggregated beyond individual outcomes. · There are minimal correlations among different perinatal quality measures.. · Quality is multifaceted, and hospitals vary in the level of quality they achieve.. · Assessing hospital care for pregnant patients and infants requires multiple quality measures..

Indexed as

Perinatal CareQuality Indicators, Health CareAdultCesarean SectionFemaleHumansInfant, NewbornMichiganPregnancyRetrospective StudiesUnited States

Identifiers

PMID39821750
PMCPMC12335603

What OpenQuestion holds

Textmetadata
LicenceTDM
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.