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Reducing Drug-Related Mortality Using Predictive Analytics: A Randomized, Statewide, Community Intervention Trial

Reducing Drug-Related Mortality Using Predictive Analytics: A Randomized, Statewide, Community Intervention Trial
使用预测分析降低药物相关死亡率:一项随机、全州范围的社区干预试验
批准号:
10173211
负责人:
Magdalena Cerda
金额:
$16.85万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-30 至 2024-07-31

项目摘要

项目成果

Magdalena Cerda的其他基金

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中文摘要
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英文摘要
The COVID-19 pandemic is colliding with the ongoing drug overdose epidemic, a public health crisis that has taken over 750,000 lives in the United States over the past two decades. The pandemic and associated policy responses will have lasting impacts of the lives of people at risk for overdose. Moreover, the immediate effects of the pandemic on access to overdose prevention and treatment resources, as well as fatal and nonfatal overdose rates, are in need of urgent study. This research will determine how policies enacted as a result of the COVID-19 pandemic response have affected both access to overdose prevention and treatment resources, as well as rates of fatal and non-fatal overdoses in the community. The effect of acute changes on COVID-19 related diagnoses, hospitalizations, and deaths on subsequent spikes in fatal and nonfatal overdose, particularly in racial/ethnic and economically distressed communities, will also be examined. Documenting these impacts will provide important insights into the types of health service measures that need to be put in place during future disasters to avoid escalation of drug overdose risk. The study will take place in Rhode Island, a state with the 4th highest COVID-10 diagnosis rate and the 7th highest COVIDassociated mortality rates in the nation (as of May 18th, 2020). In Aim 1, we will determine how policies enacted as part of the state’s COVID-19 pandemic response have influenced both access to and utilization of harm reduction resources (e.g., naloxone) and engagement in substance use treatment, as well as rates of fatal and non-fatal overdoses. In Aim 2, we hypothesize that various measures of COVID-19 disease burden (e.g., diagnosis rates, hospitalizations) will predict subsequent spikes in fatal and non-fatal overdose, and that these spikes will be particularly pronounced in economically distressed and racial/ethnic minority communities. This work will help build an urgently needed evidence base to determine how best to effectively manage the adverse effects of COVID-19 on the overdose epidemic, and to support addiction-related health and social service systems during unanticipated public health crises in the future.
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Understanding the short- and long-term effects of the COVID-19 pandemic on the overdose crisis
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Large Data Spatiotemporal Modeling of Optimal Combinations of Interventions to Reduce Opioid Harm in the United States