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Published on: November 19, 2008
Infant mortality in SMSAs before Medicaid: test of a causal model
Insights
Medical resources do not significantly mediate the impact of race and income on infant mortality. Direct effects of racial composition and low income on infant mortality rates are stronger than indirect effects in metropolitan areas.
Area of Science:
- Public Health
- Sociology
- Health Services Research
Background:
- Infant mortality rates are influenced by socioeconomic and demographic factors.
- Previous research suggested medical resource availability might mediate these effects.
- Standard Metropolitan Statistical Areas (SMSAs) provide a framework for regional health analysis.
Purpose of the Study:
- To test the hypothesis that medical resources mediate the relationship between racial composition, low income, and infant mortality.
- To analyze the direct and indirect effects of demographic factors on infant mortality using path analysis.
- To compare findings from SMSA data with previous county-level analyses.
Main Methods:
- Path analysis was employed using data from 201 Standard Metropolitan Statistical Areas (SMSAs).
- Variables included infant mortality rates, physician and hospital bed supplies, and percentages of Black and low-income populations.
- Statistical models assessed the mediating role of medical resources.
Main Results:
- The hypothesis that medical resources mediate the effects of race and income on infant mortality was not supported by the SMSA data.
- Direct effects of racial composition and low income on infant mortality were found to be more substantial than indirect effects.
- Analysis highlighted the significant direct impact of socioeconomic and racial factors on infant mortality outcomes.
Conclusions:
- Medical resource availability does not appear to be a primary mediator in the relationship between racial composition, low income, and infant mortality in SMSAs.
- Direct pathways from socioeconomic status and race to infant mortality are more influential than previously hypothesized mediation through healthcare resources.
- The choice of data aggregation (SMSA vs. county) can impact the interpretation of health disparities and resource mediation.
Abstract:
Path analysis is applied to data on infant mortality, supplies of physicians and hospital beds, and population percentages of blacks and low-income families in 201 standard metropolitan statistical areas (SMSAs) to test the hypothesis that medical resources mediate the effects of racial composition and low income on infant mortality rates. The hypothesis is not supported for the SMSA data: direct effects of racial composition and low income on infant mortality are stronger than indirect effects. The use of SMSA data for analysis is contrasted with the use of county data in a discussion of study by Anderson, from which the hypothesis was drawn.
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