Delivery Complications Associated With Prenatal Care Access for Medicaid‐Insured Mothers in Rural and Urban Hospitals

Laditka, Sarah B.; Laditka, James N.; Bennett, Kevin J.; Probst, Janice C.

doi:10.1111/j.1748-0361.2005.tb00076.x

Cited by 18 publications

(18 citation statements)

References 29 publications

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“…However, literature regarding the preconception and reproductive health of Appalachian women is limited. Geographic studies of preconception and reproductive health have focused primarily on comparing urban and rural women, with findings suggesting that rural women have less overall access to prenatal care [11], enter into prenatal care later in their pregnancy [12], and have elevated risk of delivery complications [13] and poor pregnancy outcomes, such as low birthweight [14] and preterm delivery [15]. Though Appalachian counties share some of the same challenges as other rural counties, such as geographic isolation and lack of health care providers, Appalachia is recognized as a distinct, cultural and geographic, region [16].…”

Section: Introductionmentioning

confidence: 99%

Preconception Health Indicators: A Comparison Between Non-Appalachian and Appalachian Women

Short

Oza-Frank

Conrey

2012

Matern Child Health J

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To compare preconception health indicators (PCHIs) among non-pregnant women aged 18-44 years residing in Appalachian and non-Appalachian counties in 13 U.S. states. Data from the 1997-2005 Behavioral Risk Factor Surveillance System were used to estimate the prevalence of PCHIs among women in states with ≥1 Appalachian county. Counties were classified as Appalachian (n = 36,496 women) or non-Appalachian (n = 88,312 women) and Appalachian counties were categorized according to economic status. Bivariate and multivariable logistic regression models examined differences in PCHIs among women by (1) Appalachian residence, and (2) economic classification. Appalachian women were younger, lower income, and more often white and married compared to women in non-Appalachia. Appalachian women had significantly higher odds of reporting

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Section: Introductionmentioning

confidence: 99%

Preconception Health Indicators: A Comparison Between Non-Appalachian and Appalachian Women

Short

Oza-Frank

Conrey

2012

Matern Child Health J

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“…We extracted the data from the Office on Women's Health Quick Health Data Online whose data came from the National Vital Statistics System Detail Natality Files maintained by the National Center for Health Statistics (NCHS 1999-2001). It is suggested that prenatal care improves infant health by identifying the risk factors related to infant mortality and low birth weight (Laditka et al 2005; Lauderdale et al 2010). We included the percentage of late or no prenatal care to minimize the impacts of confounders (e.g., SES and prenatal care) on the associations between infant mortality and the SDT, enhancing the validity and reliability of our analytic results.…”

Section: Introductionmentioning

confidence: 99%

Examining the Spatially Non- Stationary Associations Between the Second Demographic Transition and Infant Mortality: A Poisson GWR Approach

2013

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Based on ecological studies, second demographic transition (SDT) theorists concluded that some areas in the US were in vanguard of the SDT compared to others, implying spatial nonstationarity may be inherent in the SDT process. Linking the SDT to the infant mortality literature, we sought out to answer two related questions: Are the main components of the SDT, specifically marriage postponement, cohabitation, and divorce, associated with infant mortality? If yes, do these associations vary across the US? We applied global Poisson and geographically weighted Poisson regression (GWPR) models, a place-specific analytic approach, to county-level data in the contiguous US. After accounting for the racial/ethnic and socioeconomic compositions of counties and prenatal care utilization, we found (1) marriage postponement was negatively related to infant mortality in the southwestern states, but positively associated with infant mortality in parts of Indiana, Kentucky, and Tennessee, (2) cohabitation rates were positively related to infant mortality, and this relationship was stronger in California, coastal Virginia, and the Carolinas than other areas, and (3) a positive association between divorce rates and infant mortality in southwestern and northeastern areas of the US. These spatial patterns suggested that the associations between the SDT and infant mortality were stronger in the areas in vanguard of the SDT than in others. The comparison between global Poisson and GWPR results indicated that a place-specific spatial analysis not only fit the data better, but also provided insights into understanding the non-stationarity of the associations between the SDT and infant mortality.

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“…Although there has been some debate in the literature regarding the actual effectiveness of prenatal care on preventing poor birth outcomes (Kogan et al 1998; Nguyen and Chongsuvivatwong 1997; Lauderdale et al 2010), prenatal care can help identify risk factors associated with low birth weight and infant mortality, as well as other pregnancy complications that may occur at any time during the pregnancy (Laditka et al 2005; Lauderdale et al 2010). When women receive prenatal care, they are provided with educational information regarding infant delivery, care, and nutrition (Alexander et al 1999; Butz et al 1993).…”

Section: Introductionmentioning

confidence: 99%

What has geography got to do with it? Using GWR to explore place-specific associations with prenatal care utilization

2011

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We use a geographically weighted regression (GWR) approach to examine how the relationships between a set of predictors and prenatal care vary across the continental US. At its most fundamental, GWR is an exploratory technique that can facilitate the identification of areas with low prenatal care utilization and help better understand which predictors are associated with prenatal care at specific locations. Our work complements existing prenatal care research in providing an ecological, place-sensitive analysis. We found that the percent of the population who was uninsured was positively associated with the percent of women receiving late or no prenatal care in the global model. The GWR map not only confirmed, but also demonstrated the spatial varying association. Additionally, we found that the number of Ob-Gyn doctors per 100,000 females of childbearing age in a county was associated with the percentage of women receiving late or no prenatal care, and that a higher value of female disadvantage is associated with higher percentages of late or no prenatal care. GWR offers a more nuanced examination of prenatal care and provides empirical evidence in support of locally tailored health policy formation and program implementation, which may improve program effectiveness.

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Delivery Complications Associated With Prenatal Care Access for Medicaid‐Insured Mothers in Rural and Urban Hospitals

Abstract: Providers and policymakers should work to reduce the risks of potentially avoidable maternity complications for African American women in rural areas who are insured by Medicaid.

Cited by 18 publications

References 29 publications

Preconception Health Indicators: A Comparison Between Non-Appalachian and Appalachian Women

Preconception Health Indicators: A Comparison Between Non-Appalachian and Appalachian Women

Examining the Spatially Non- Stationary Associations Between the Second Demographic Transition and Infant Mortality: A Poisson GWR Approach

What has geography got to do with it? Using GWR to explore place-specific associations with prenatal care utilization

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