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Background: The primary purpose of this study was to determine the association between type of healthcare provider delivering prenatal care and intent to exclusively breastfeed., Methods: A self-report survey was administered to 455 expectant mothers. Logistic regression was performed to determine the association between prenatal care provider type [obstetrician; other primary care physician (family doctor/general practitioner/internist/or other physician); midwife/nurse midwife; more than one provider; and other] with intent to breastfeed (exclusive/non-exclusive)., Results: Having a midwife/nurse midwife as a prenatal care provider was associated with intent to breastfeed compared to having an obstetrician (OR 2.544, 95 % CI 1.385-4.675). There was no difference in intent between women with another primary care physician and an obstetrician. Women with another type of health care provider, no prenatal care from a health professional, or no knowledge of who is providing prenatal care were less likely to intend to breastfeed (OR 0.228, CI 0.068-0.766) as compared to those with an obstetrician., Discussion/conclusions: Provider type is associated with intent to breastfeed among pregnant women. Women's intent to breastfeed is an important predictor of breastfeeding initiation, continuation, and duration that may be assessed by healthcare providers during the prenatal period. A consideration of what features of provider care are associated with improved breastfeeding outcomes and characteristics of women seeking prenatal care with midwives may serve to formulate future prenatal care policies and education during prenatal care visits.

The purpose of this study was to identify geographic differences in health indicators for children with special health care needs (CSHCN). It was hypothesized that geographic differences in unmet health care needs exist among CSHCN by region in the United States. Data were obtained from the National Survey of Children with Special Health Care Needs, 2005-2006. Nine variables representing unmet needs were analyzed by geographic region. The region with the highest percent of unmet needs was identified for each service. Logistic regression was utilized to determine differences by region after controlling for age, gender, ethnicity, race, federal poverty level, relationship of responder to child, insurance status, severity of condition, and size of household. A total of 40,723 CSHCN were represented. Crude analysis demonstrated that the greatest unmet need for routine preventive care, specialist care, prescription medications, physical/occupational/speech therapy, mental health care, and genetic counseling occurred in the West. The greatest unmet need for preventive dental care, respite care, and vision care occurred in the South. Significant differences between regions remained for six of the nine services after controlling for potential confounders. Geographic differences in unmet health care needs exist for CSHCN. Further delving into these differences provides valuable information for program and policy planning and development. Meeting the needs of CSHCN is important to reduce cost burden and improve quality of life for the affected child and care providers.

Purpose: The purpose of this research study was to identify factors that are associated with receiving care in a medical home for children with special health care needs (CSHCN) and to identify how these factors vary among different socioeconomic levels., Methods: Data were obtained from the National Survey of Children with Special Health Care Needs, 2000-2002. Access to a medical home was derived using an algorithm. This survey analysis also included demographic characteristics, geographical location of household, severity of condition, and social factors. Multiple logistic regression models were constructed for socioeconomic status (SES) levels defined by federal poverty level (FPL): <133%; 133-199%; 200-299%; > or =300%., Results: Age group was significant in all but the 200-299% of FPL stratum. Severity of condition was significant in all strata. Race was significant in all but the > or =300% stratum. Maternal education was borderline significant in the lowest and highest strata. Insurance type/status was significant in all but the 133-199% of FPL stratum. Geographical location was significant in the lowest and highest strata. The language of the interview was only significant in the lowest stratum. The relationship of the respondent to the child was significant in the middle two strata. The total number of adults in the household was significant in the highest stratum, and the total number of children in the household was significant in the 200-299% of FPL stratum., Conclusions: Factors affecting access to a medical home differed among socioeconomic groups. Future research should explore the CSHCN population by income groups to better serve this population.