Missouri Institute of Mental Health, University of Missouri-St. Louis, St Louis, MO, USA.
College of Nursing, University of Missouri-St. Louis, St Louis, MO, USA.
Subst Abus. 2021;42(4):974-982. doi: 10.1080/08897077.2021.1901174. Epub 2021 Mar 24.
: Opioid overdose deaths continue to rise nationally. The demand for naloxone, the opioid overdose antidote, is outpacing the supply. With increasing naloxone requests, tools to prioritize distribution are critical to ensure available supplies will reach those at highest risk of overdose. : We developed a standardized "Naloxone Request Form" (NRF) and corresponding weighted prioritization algorithm to serve as decisional aid to better enable grant staff to prioritize naloxone distribution in a data-driven manner. The algorithm computed raw priority scores for each agency, which were then separated into the predetermined quintiles. Historical naloxone distribution decisions were compared with agencies' prioritization quintile. : Results demonstrated that the NRF and corresponding algorithm was successful at prioritizing agencies based on potential impact. Although, overall, naloxone was distributed more heavily to the agencies deemed highest priority, our algorithm identified significant shortcomings of the "first come, first served" method of distribution we had initially deployed. : This work has laid the foundation to use this tool prospectively to allow for data-driven decision-making for naloxone distribution. Our tool is flexible and can be customized to best fit the needs of a variety of programs and locations to ensure the distribution of limited supplies of naloxone have the greatest impact.
: 阿片类药物过量死亡人数在全国范围内持续上升。阿片类药物过量解毒剂纳洛酮的需求超过了供应。随着纳洛酮需求的增加，优先分配的工具对于确保可用的供应能够到达那些最有可能过量的人至关重要。 : 我们开发了一种标准化的“纳洛酮申请表”（NRF）和相应的加权优先级算法，作为决策辅助工具，以更好地使赠款工作人员能够以数据驱动的方式优先分配纳洛酮。该算法为每个机构计算了原始优先级得分，然后将其分为预定的五分位数。将历史纳洛酮分配决策与机构的优先级五分位数进行了比较。 : 结果表明，NRF 和相应的算法成功地根据潜在影响对机构进行了优先级排序。尽管总体而言，纳洛酮更多地分配给了被认为优先级最高的机构，但我们的算法发现了我们最初部署的“先来先服务”分配方法的明显缺陷。 : 这项工作为前瞻性地使用该工具奠定了基础，以便为纳洛酮分配做出数据驱动的决策。我们的工具具有灵活性，可以根据各种计划和地点的需求进行定制，以确保有限的纳洛酮供应能够产生最大的影响。
