Evidence map›Paper›PMID 39361556›Full record

ArticlePloS one2024

Multivariable modeling: A retrospective cohort study exploring the impact of socioeconomic status and distance to a rural academic center on all-cause preterm delivery.

Shilpa Darivemula, Marilyn Kouassi-Brou, Catherine Pollack, Amy Paris, Daisy Goodman, Timothy Fisher

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Article in PloS one, 2024. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shilpa DarivemulaDepartment of Obstetrics and Gynecology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States of America.ORCID 0000-0003-4229-8274
Marilyn Kouassi-BrouDepartment of Undergraduate Medical Education, Geisel School of Medicine, Hanover, New Hampshire, United States of America.
Catherine PollackDepartment of Epidemiology, Graduate School of Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, United States of America.
Amy ParisDepartment of Obstetrics and Gynecology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States of America.ORCID 0000-0003-1233-2400
Daisy GoodmanDepartment of Obstetrics and Gynecology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States of America.
Timothy FisherDepartment of Obstetrics and Gynecology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States of America.ORCID 0000-0003-0146-6956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHospital-based labor and delivery units are closing at increasing rates in the rural US, significantly impacting maternal and newborn health. The objective of this study to determine if rurality-measured as distance from the hospital-and socioeconomic status-measured as insurance payor-impact both spontaneous and medically indicated preterm birth incidence at a single rural academic institution.

methodsThis was a retrospective cohort study using electronic medical records of patients with singleton pregnancies delivering at a single rural academic institution between 2016-2018. The primary outcome was preterm delivery (PTD) and secondary outcomes included low birth weight (LBW) and intensive care nursery (ICN) admission. The primary exposures included (1) travel time from a patient's address to the hospital and (2) insurance carrier as a proxy for socioeconomic status. Bivariate analyses indicated that travel time, insurance status, race, ethnicity, marital status, number of prenatal visits, gravida and para, and smoking status were significant predictors of all outcomes (LBW, ICN admission, and PTD). Therefore, these predictors were included in the multivariable logistic models.

resultsWithin the multivariable logistic model, patients traveling 1-1.5 hours had approximately twice the odds of PTD (Odds Ratio, OR: 2.08, 95% Confidence Interval CI, 1.32, 3.29, p = .002), birth of a LBW neonate (OR: 2.15; 95% CI: 1.29-3.58, p = .005), and infant admission to the ICN (OR 1.83, 95% CI: 1.22-2.76, p = .004) compared to patients traveling under 30 minutes,. Insurance carrier status was not associated with increased odds of PTD, LBW, or ICN admission.

conclusionPatients living 1-to-1.5 hours from the hospital had an increased risk for LBW, ICN admission, and PTD, despite living in zip codes with less social deprivation than zip codes further away from the hospital.

Indexed as

Premature BirthSocial ClassAcademic Medical CentersAdultFemaleHumansInfant, Low Birth WeightInfant, NewbornLogistic ModelsPregnancyRetrospective StudiesRural PopulationYoung Adult

Identifiers

PMID39361556
PMCPMC11449359

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