Evidence map›Paper›PMID 37991589›Full record

ArticleMaternal and child health journal2024

Neighborhood Predictors of Poor Prenatal Care and Well-Child Visit Attendance.

Elizabeth R Wolf, Alicia Richards, Roy T Sabo, Steven H Woolf, Bergen B Nelson, Alex H Krist

Open access · hybridAbstract read
In one paragraph

Article in Maternal and child health journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Article
  5. Article
  6. 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

6 authors at 2 institutions in 1 country.

Elizabeth R WolfChildren's Hospital of Richmond at VCU, 1000 East Broad Street, Richmond, VA, 23219, USA. elizabeth.wolf@vcuhealth.org.ORCID http://orcid.org/0000-0002-7251-0152
Alicia RichardsDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
Roy T SaboDepartment of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA.
Steven H WoolfDepartment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA, USA.
Bergen B NelsonChildren's Hospital of Richmond at VCU, 1000 East Broad Street, Richmond, VA, 23219, USA.
Alex H KristDepartment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA, USA.
Virginia Commonwealth University · USVirginia Department of Health · US

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
Wright Regional Center for Clinical and Translational ScienceUM1TR004360 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI FREDERICK Gerard MOELLER · 2023 to 2026
$16.3M
Institutional Career Development CoreKL2TR002648 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI NANASINKAM, SERGE PATRICK, SANYAL, ARUN J · 2018 to 2022
$3.7M
NCATS NIH HHS KL2 TR002648NCATS NIH HHS KL2TR002648NCATS NIH HHS UL1 TR002649NCATS NIH HHS UL1TR002649NCATS NIH HHS UM1 TR004360
6 · The paper itself

Abstract

purposeWomen and children continue to miss preventive visits. Which neighborhood factors predict inadequate prenatal care (PNC) and well-child visit (WCV) attendance remain unclear. DESCRIPTION: In a retrospective case-control study at Virginia Commonwealth University Health System, mothers with less than 50% adherence or initiation after 5 months gestation were eligible as cases and those with ≥ 80% adherence and initiation before 5 months were eligible as controls. Children in the lowest quintile of adherence were eligible as cases and those with ≥ 80% of adherence were eligible as controls. Cases and controls were randomly selected at a 1:2 ratio and matched on birth month. Covariates were derived from the 2018 American Community Survey. A hotspot was defined as a zip code tabulation area (ZCTA) with a proportion of controls less than 0.66. ZCTAs with fewer than 5 individuals were excluded. Weighted quantile regression was used to determine which covariates were most associated with inadequate attendance. ASSESSMENT: We identified 38 and 35 ZCTAs for the PNC and WCV analyses, respectively. Five of 11 hotspots for WCV were also hotspots for PNC. Education and income predicted 51% and 34% of the variation in missed PNCs, respectively; language, education and transportation difficulties explained 33%, 29%, and 17% of the variation in missed WCVs, respectively. Higher proportions of Black residents lived in hotspots of inadequate PCV and WCV attendance.

conclusionNeighborhood-level factors performed well in predicting inadequate PCV and WCV attendance. The disproportionate impact impact of inadequate PCV and WCV in neighborhoods where higher proportions of Black people lived highlights the potential influence of systemic racism and segregation on healthcare utilization.

Indexed as

Prenatal CareResidence CharacteristicsCase-Control StudiesFemaleHumansIncomePregnancyRetrospective StudiesChild healthChild povertyPrenatal careSocial determinants of health and neighborhood characteristics

Identifiers

PMID37991589
PMCPMC11001526
OpenAlexW4388912492

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.