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

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DataCite Commons2020-09-04 更新2024-07-25 收录
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https://figshare.com/articles/A_data_driven_allocation_tool_for_in_kind_resources_distributed_by_a_state_health_department/2375302/1
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<b>Objective</b>: 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. <b>Methods</b>: 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. <b>Results</b>: 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. <b>Conclusions</b>: 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.
提供机构:
Taylor & Francis
创建时间:
2016-02-18
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