Using geographical information systems to explore disparities in preterm birth rates among foreign-born and U.S.-born Black mothers
- PMID: 22273411
- PMCID: PMC3412623
- DOI: 10.1111/j.1552-6909.2011.01273.x
Using geographical information systems to explore disparities in preterm birth rates among foreign-born and U.S.-born Black mothers
Abstract
Objective: To examine spatial patterns of neighborhood contextual factors of stress with preterm birth (PTB) and nativity (foreign-born and U.S.-born) among Black mothers.
Design: Descriptive geographic-spatial research.
Setting & participants: Births to Philadelphia residents during 2003-2005 in the context of Philadelphia residential neighborhoods (N = 350) were studied.
Methods: All data were aggregated to neighborhood levels (census tracts). Maps were created to assess geographic-spatial patterns. A geographic information system (GIS) database was created that imported geo-coded data on births, crime (assaults with guns and domestic abuse), poverty, race, and nativity (foreign-born vs. U.S.-born).
Results: Clear visual patterns of "bad" neighborhoods emerged and were significantly associated with higher prevalence of PTB for foreign-born Black and U.S.-born Black mothers (p < .0001).
Conclusions: This study demonstrated how GIS visually clarified important spatial patterns of adverse living conditions and PTB prevalence. Nurses can use GIS to better understand living environments of mothers and their families and to target interventions in geographical areas with the greatest service needs. Further research on individual and contextual factors is warranted to address the observed health disparities among the heterogeneous groups of foreign-born Black mothers. Despite limitations of aggregate data, it is clear that where mothers live matters. This has important implications for nursing practice and policy.
© 2011 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses.
Conflict of interest statement
The author reports no conflict of interest or relevant financial relationships.
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