RESUMEN
OBJECTIVES: Block grant funding provides federal financial support to states, with increased flexibility as to how those funds can be allocated at the community level. At the state level, block grant amounts and distributions are often based on outdated formulas that consider population measures and funding environments at the time of their creation. We describe variation in state-level funding allocations for 5 federal block grant programs and the extent to which funding aligns with the current needs of state populations. METHODS: We conducted an analysis in 2022 of state block grant allocations as a function of state-level characteristics for 2015-2019 for all 50 states. We provide descriptive statistics of state block grant allocations and multivariate regression models for each program. Models include base characteristics relevant across programs plus supplemental characteristics based on program-specific goals and state population needs. RESULTS: Mean state block grant allocations per 1000 population by program ranged from $618 to $21 528 during 2015-2019. Characteristics associated with state allocations varied across block grants. For example, for every 1-percentage-point increase in the percentage of the population living in nonmetropolitan areas, Preventive Health and Health Services Block Grant funding was approximately $7 per 1000 population higher and Community Services Block Grant funding was approximately $40 per 1000 population higher. Few supplemental characteristics were associated with allocations. CONCLUSIONS: Current block grant funding does not align with state characteristics and needs. Future research should consider how funds are used at the state level or allocated to local agencies or organizations and compare state block grant allocations with other types of funding mechanisms, such as categorical funding.
RESUMEN
Objective: To assess the association of drug overdose mortality with grandparents serving as caregivers of children in Appalachia and non-Appalachia in the U.S. Methods: This study used a cross-sectional design, with percent of grandparents as caregivers and overdose mortality rates being of primary interest. County-level data were combined, and descriptive, bivariate, and multivariable statistics were applied. Multiple sociodemographic and geographic variables were included: median age of the population, percent of the population that is uninsured, percent of the population that is non-Hispanic white, teen birth rate, percent of high school dropouts, and rurality. Results: The percent of grandparents as caregivers increased as the overdose mortality rate increased (p < 0.01). For every 1% increase in the overdose mortality rate, the percent of grandparents as caregivers increased by 56% in Appalachian counties compared to 24% in non-Appalachian counties. After adjusting for sociodemographic characteristics, the interaction between overdose mortality and Appalachian vs. non-Appalachian counties was no longer significant (p = 0.3). Conclusions: Counties with higher overdose mortality rates had greater rates of grandparents as caregivers, with Appalachian counties experiencing greater rates of grandparents as caregivers than non-Appalachian counties. Sociodemographic characteristics that are often more prevalent in Appalachia may be driving the observed differences. Policy implications: Policies and programs are needed to support grandparents providing caregiving for children impacted by substance use disorders including reform to federal child welfare financing to support children, parents, and grandparent caregivers such as kinship navigation, substance use treatment and prevention services, mental health services and in-home supports.