Evidence map›Paper›PMID 26112751›Full record

ArticleMaternal and child health journal2015

Predicting Preterm Birth Among Women Screened by North Carolina's Pregnancy Medical Home Program.

Christine M Tucker, Kate Berrien, M Kathryn Menard, Amy H Herring, Julie Daniels, Diane L Rowley, Carolyn Tucker Halpern

Abstract read
In one paragraph

Article in Maternal and child health journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Housing instability and adverse perinatal outcomes: a systematic review.American journal of obstetrics & gynecology MFM · 2021
    Pooled it
  3. Pooled it
  4. Low birthweight in second children after nurse home visiting.Journal of perinatology : official journal of the California Perinatal Association · 2018
    Trial
  5. Article
  6. Article
  7. Article
  8. A Scoping Review of Preterm Birth Risk Factors.American journal of perinatology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Short interpregnancy interval as a risk factor for preterm birth in non-Hispanic Black and White women in California.Journal of perinatology : official journal of the California Perinatal Association · 2019
    Article
  17. Article
  18. Review
  19. Article
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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.

Christine M TuckerDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Campus Box #8120, Chapel Hill, NC, 27599-8120, USA. cmtucker@live.unc.edu.
Kate BerrienCommunity Care of North Carolina, 2300 Rexwoods Drive, Suite 100, Raleigh, NC, 27607, USA. kberrien@n3cn.org.
M Kathryn MenardDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC, 27514, USA. kate_menard@med.unc.edu.
Amy H HerringCarolina Population Center, 206 W. Franklin St., Chapel Hill, NC, 27516, USA. amy_herring@unc.edu.
Julie DanielsDepartment of Epidemiology and Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Campus Box #7435, Chapel Hill, NC, 27599-7435, USA. julie_daniels@unc.edu.
Diane L RowleyDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Campus Box #7445, Chapel Hill, NC, 27599-7445, USA. drowley@email.unc.edu.
Carolyn Tucker HalpernDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Campus Box #8120, Chapel Hill, NC, 27599-8120, USA. carolyn_halpern@unc.edu.

Funding

POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NICHD NIH HHS P2C HD050924NICHD NIH HHS R24 HD050924NICHD NIH HHS T32 HD007168
6 · The paper itself

Abstract

objectiveTo determine which combination of risk factors from Community Care of North Carolina's (CCNC) Pregnancy Medical Home (PMH) risk screening form was most predictive of preterm birth (PTB) by parity and race/ethnicity.

methodsThis retrospective cohort included pregnant Medicaid patients screened by the PMH program before 24 weeks gestation who delivered a live birth in North Carolina between September 2011-September 2012 (N = 15,428). Data came from CCNC's Case Management Information System, Medicaid claims, and birth certificates. Logistic regression with backward stepwise elimination was used to arrive at the final models. To internally validate the predictive model, we used bootstrapping techniques.

resultsThe prevalence of PTB was 11 %. Multifetal gestation, a previous PTB, cervical insufficiency, diabetes, renal disease, and hypertension were the strongest risk factors with odds ratios ranging from 2.34 to 10.78. Non-Hispanic black race, underweight, smoking during pregnancy, asthma, other chronic conditions, nulliparity, and a history of a low birth weight infant or fetal death/second trimester loss were additional predictors in the final predictive model. About half of the risk factors prioritized by the PMH program remained in our final model (ROC = 0.66). The odds of PTB associated with food insecurity and obesity differed by parity. The influence of unsafe or unstable housing and short interpregnancy interval on PTB differed by race/ethnicity.

conclusionsEvaluation of the PMH risk screen provides insight to ensure women at highest risk are prioritized for care management. Using multiple data sources, salient risk factors for PTB were identified, allowing for better-targeted approaches for PTB prevention.

Indexed as

ParityPatient-Centered CareAdolescentAdultBirth CertificatesEthnicityFemaleHumansInfant, NewbornLogistic ModelsMarital StatusMass ScreeningMedicaidNorth CarolinaPredictive Value of TestsPregnancyMedicaidNorth CarolinaPreterm birthRace/ethnic disparitiesRisk screening

Identifiers

PMID26112751
PMCPMC4764378

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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.