Associations between state economic and health systems capacities and service use by children with special health care needs.

To examine the relationship between measures of state economic, political, health services, and Title V capacity and individual level measures of the well-being of CSHCN. We selected five measures of Title V capacity from the Title V Information System and 13 state capacity measures from a variety of data sources, and eight indicators of intermediate health outcomes from the National Survey of Children with Special Health Care Needs. To assess the associations between Title V capacity and health services outcomes, we used stepwise regression to identify significant capacity measures while accounting for the survey design and clustering of observations by state. To assess the associations between economic, political and health systems capacity and health outcomes we fit weighted logistic regression models for each outcome, using a stepwise procedure to reduce the models. Using statistically significant capacity measures from the stepwise models, we fit reduced random effects logistic regression models to account for clustering of observations by state. Few measures of Title V and state capacity were associated with health services outcomes. For health systems measures, a higher percentage of uninsured children was associated with decreased odds of receipt of early intervention services, decreased odds of receipt of professional care coordination, and increased odds of delayed or missed care. Parents in states with higher per capita Medicaid expenditures on children were more likely to report receipt of special education services. Only two state capacity measures were associated explicitly with Title V: states with higher generalist physician to population ratios were associated with a greater likelihood of parent report of having heard of Title V and states with higher per capita gross state product were less likely to be associated with a report of using Title V services, conditional on having heard of Title V. The state level measure of family participation in Title V governance was negatively associated with receipt of care coordination and having used Title V services. The measures of state economic, political, health systems, and Title V capacity that we have analyzed are only weakly associated with the well-being of children with special health care needs. If Congress and other policymakers increase the expectations of the states in assuring that the needs of CSHCN and their families are addressed, it is essential to be cognizant of the capacities of the states to undertake that role.

The relationship between state capacity measures and allocations to children and youth with special needs within the MCH Services Block Grant.

OBJECTIVES: To examine the association between state economic, political and health services capacity and state allocations for Title V capacity for Children and Youth with Special Health Care Needs (CSHCN). METHODS: Numerous datasets were reviewed to select 13 state capacity measures: per capita Gross State Product (economic); governor's institutional powers and legislative professionalism (political); percent of Children with Special Health Care Needs, percent of uninsured children, percent of children enrolled in Medicaid, state health funds as a percent of Gross State Product, ratio of Medicaid to Medicare fees, percent of children in Medicaid enrolled in managed care, per capita Medicaid expenditures for children, ratios of pediatricians/family practitioners and pediatric subspecialists per 10,000 children, and categorical versus functional state definition of CSHCN (health). Five measures of Title V capacity were selected from the Title V Information System, four that reflect allocation decisions by states and the fifth a state assessment of the role of families in Title V decision-making: ratio of state/federal Title V spending; per capita state Title V spending; percent of state Title V spending on CSHCN; state per child spending on CSHCN; and, state Title V Family Participation Score. OLS regression was used to model the association between state and Title V capacity measures. RESULTS: The percentage of the state's gross state product (GSP) accounted for by state health funds and the per capita GSP were positively associated with the per capita expenditures on all children. The percentage of CSHCN in the state was negatively associated with the ratio of state to federal support for Title V and the per child expenditures on CSHCN. Lower family participation scores were associated with having a hybrid legislature; however, higher family participation scores were found in states using a functional definition of special needs. CONCLUSIONS: Measures of state economic, political and health services capacity do not demonstrate consistent and significant associations with the Title V capacity measures that we explored. States with greater economic capacity appear to devote more financial resources to Title V. Our finding that per capita CSHCN expenditures are negatively associated with the percentage of CSHCN in the state suggests that there is an upper limit on what states devote to CSHCN. Our current understanding of what state factors influence Title V capacity remains limited.

Getting focused: missed opportunities for smoking interventions for pregnant women receiving Medicaid.

BACKGROUND: The prevalence of smoking, and cessation and relapse rates for pregnant women have health and financial implications. Our objectives were to describe smoking among pregnant smokers receiving Medicaid including characteristics associated with reporting discussion of smoking with providers and the association between those discussions with quitting and maintenance. METHODS: Analysis of Pregnancy Risk Assessment Monitoring System (PRAMS) data from 15 states for 20,287 women with Medicaid for prenatal care during 1998-2000. RESULTS: Thirty-four percent of women smoked before pregnancy (N = 7,686). Most smokers (93%) and nonsmokers (88%) reported discussions about smoking during prenatal care. Women were less likely to have discussed smoking if they were lighter smokers (OR = 1.47; CI = 1.03, 2.12), or reported a previous low-birthweight infant (OR = 1.72; CI = 1.03-2.86). Women reporting discussions (compared to those not) were less likely to quit (ARR = 0.70: CI = 0.59-0.91). Quitters reporting discussions (compared to those not) were no more likely to maintain cessation (ARR = 0.89; CI = 0.7, 1.21). CONCLUSIONS: Smoking cessation interventions can be improved for pregnant women receiving Medicaid, especially if focused to address individual needs of light smokers, those with previous low-birthweight infants, or those who find it most difficult to quit.