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Assessing the relationship between census tract rurality and severe maternal morbidity in California (1997-2018)
Rachel L Berkowitz1, Peiyi Kan2, Xing Gao3
1Department of Public Health and Recreation, College of Health and Human Sciences, San José State University, San Jose, California, USA.
Birthing people in rural California census tracts face a higher risk of severe maternal morbidity (SMM). This risk is most pronounced in micropolitan areas, highlighting the need for subcounty-level analysis of health disparities.
Area of Science:
- Reproductive Health
- Health Services Research
- Rural Health Disparities
Background:
- Existing research indicates elevated severe maternal morbidity (SMM) risks for individuals in rural counties compared to urban ones.
- Previous studies have not explored rurality at the granular subcounty census-tract level, limiting a nuanced understanding of geographic disparities.
Purpose of the Study:
- To investigate the association between subcounty-level rurality and the risk of severe maternal morbidity (SMM) among birthing individuals in California.
- To determine if a more detailed, census-tract level analysis of rurality reveals different patterns of SMM risk compared to broader county-level assessments.
Main Methods:
- Utilized linked vital statistics and hospital discharge records for births in California from 1997 to 2018.
- Defined SMM using 21 potentially fatal conditions and lifesaving procedures.
- Characterized census tract rurality using Rural-Urban Commuting Area codes (2- and 4-category classifications) and employed mixed-effects logistic regression models.
Main Results:
- Out of 10,091,415 births, 1.1% experienced SMM.
- A 10% higher risk of SMM was observed for individuals in rural versus urban tracts (2-category model).
- A 16% higher risk of SMM was found in micropolitan versus metropolitan tracts (4-category model), indicating a significant association at the subcounty level.
Conclusions:
- The elevated risk of SMM associated with rurality is primarily driven by residence in micropolitan census tracts compared to metropolitan ones.
- Potential inequities in resource access within suburban areas may contribute to the observed disparities.
- Emphasizes the critical importance of analyzing rurality at the subcounty census-tract level to accurately identify and address geographic variations in SMM risk.
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