A data-driven allocation tool for in-kind resources distributed by a state health department

Area of Science:

• Public Health
• Health Resource Allocation
• Injury Prevention

Background:

• Equitable distribution of public health resources is crucial for improving population health outcomes.
• Traditional methods of resource allocation may not effectively address varying county-level needs.
• Children's car seats are a vital in-kind resource for injury prevention in pediatric populations.

Purpose of the Study:

• To develop and evaluate a need-based allocation tool for children's car seats using state operational data.
• To assess whether a data-driven, need-based allocation strategy improves equity in resource distribution.
• To demonstrate the adaptability of this allocation model for other in-kind public health resources.

Main Methods:

• Retrospective analysis of administrative data on car seat distribution by the Georgia Department of Public Health.
• Development of a need-based allocation tool utilizing county-level injury and sociodemographic data.
• Comparison of recommended allocations from the new tool versus historical distribution patterns.

Main Results:

• Need-based car seat allocation resulted in significantly different county-level distribution recommendations compared to historical practices.
• Universal availability of in-kind resources can lead to less equitable distribution than targeted, need-based allocation.
• The developed tool is adaptable for allocating various in-kind public health resources.

Conclusions:

• Public health agencies can optimize in-kind resource allocation by using local data to align with health objectives and maximize potential health impact.
• A shift towards equitable resource distribution, based on public health need, is demonstrated.
• Further research is warranted to determine if this equitable allocation also leads to improved efficiency and measurable public health outcomes.