A data-driven allocation tool for in-kind resources distributed by a state health department. (2nd October 2016)

• Record Type: Journal Article
• Authors: Peterson, Cora; Kegler, Scott R.; Parker, Wende R.; Sullivan, David
• Is Part Of: Traffic injury prevention. Volume 17:Number 7(2016)
• Page Start: 681
• Page End: 685
• Publication Date: 2016-10-02
• Subjects: accidents -- traffic -- financing, government/supply and distribution -- economics/statistics and numerical data; Traffic safety -- Periodicals; Traffic accidents -- Periodicals; Wounds and injuries -- Prevention -- Periodicals; 363.125
• DOI: 10.1080/15389588.2016.1142079
• Languages: English
• ISSNs: 1538-9588

Abstract

ABSTRACT: Objective : The objective of this study was to leverage a state health department's operational data to allocate in-kind resources (children's car seats) to counties, with the proposition that need-based allocation could ultimately improve public health outcomes. Methods : This study used a retrospective analysis of administrative data on car seats distributed to counties statewide by the Georgia Department of Public Health and development of a need-based allocation tool (presented as interactive supplemental digital content, adaptable to other types of in-kind public health resources) that relies on current county-level injury and sociodemographic data. Results : Car seat allocation using public health data and a need-based formula resulted in substantially different recommended allocations to individual counties compared to historic distribution. Conclusions : Results indicate that making an in-kind public health resource like car seats universally available results in a less equitable distribution of that resource compared to deliberate allocation according to public health need. Public health agencies can use local data to allocate in-kind resources consistent with health objectives; that is, in a manner offering the greatest potential health impact. Future analysis can determine whether the change to a more equitable allocation of resources is also more efficient, resulting in measurably improved public health outcomes.