Back to Search
Start Over
Neighborhood Predictors of Poor Prenatal Care and Well-Child Visit Attendance.
- Source :
-
Maternal and child health journal [Matern Child Health J] 2024 May; Vol. 28 (5), pp. 798-803. Date of Electronic Publication: 2023 Nov 22. - Publication Year :
- 2024
-
Abstract
- Purpose: Women and children continue to miss preventive visits. Which neighborhood factors predict inadequate prenatal care (PNC) and well-child visit (WCV) attendance remain unclear.<br />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.<br />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.<br />Conclusion: Neighborhood-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.<br /> (© 2023. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1573-6628
- Volume :
- 28
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Maternal and child health journal
- Publication Type :
- Academic Journal
- Accession number :
- 37991589
- Full Text :
- https://doi.org/10.1007/s10995-023-03844-9