grant

Large Data Spatiotemporal Modeling of Optimal Combinations of Interventions to Reduce Opioid Harm in the United States

Organization NEW YORK UNIVERSITY SCHOOL OF MEDICINELocation NEW YORK, UNITED STATESPosted 30 Sept 2022Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY2025AIDSAIDS VirusAccident and Emergency departmentAcquired Immune DeficiencyAcquired Immune Deficiency SyndromeAcquired Immune Deficiency Syndrome VirusAcquired Immunodeficiency SyndromeAcquired Immunodeficiency Syndrome VirusActiqAddressAreaBayesian ModelingBayesian adaptive designsBayesian adaptive modelsBayesian belief networkBayesian belief updating modelBayesian frameworkBayesian hierarchical modelBayesian network modelBayesian nonparametric modelsBayesian spatial data modelBayesian spatial image modelsBayesian spatial modelsBayesian statistical modelsBayesian tracking algorithmsCessation of lifeCharacteristicsCommunicable DiseasesCommunitiesComplexDataData BasesData SetData SourcesDatabasesDeathDrugsDuragesicED careER careEffectivenessEmergency CareEmergency DepartmentEmergency Department careEmergency Room careEmergency health careEmergency medical careEmergency roomEndocarditisEpidemicFentanestFentanylFentylGoalsGrantHBV diseaseHCV diseaseHIVHealthHealth BenefitHepBHepatitis BHepatitis CHepatitis, Viral, Non-A, Non-B, Parenterally-TransmittedHepatitus CHuman Immunodeficiency VirusesHypertensionIndividualInfectious DiseasesInfectious DisorderInfectious Skin DiseasesInjuryInterventionInvestmentsJointsLAV-HTLV-IIILawsLegalLevel of EvidenceLifeLocationLymphadenopathy-Associated VirusMeasuresMedicationMethodsModelingMorbidityMorbidity - disease rateMunicipalitiesNIDANaloxoneNarcanNarcantiNational Institute of Drug AbuseNational Institute on Drug AbuseOpiatesOpioidOutcomeOverdoseOverdose reductionOverdose reversalPersonsPharmaceutical PreparationsPharmaciesPharmacy facilityPhentanylPneumoniaPublic HealthResearchResearch ResourcesResourcesRoleServicesSystemTestingUS StateUnited StatesVascular Hypertensive DiseaseVascular Hypertensive DisorderViral Hepatitis BVirus-HIVXylaxineXylazinecutaneous infectiondashboarddata accessdata basedensitydisease preventiondisorder preventiondistribute naloxonedrug/agenteconomic indicatorhep Bhep ChepChepatitis B virus diseasehepatitis non A non Bhigh blood pressurehyperpiesiahyperpiesishypertensive diseasehypertensive disorderimprovedinfected skininjuriesinterestmortalitymortality statisticsmultiple data sourcesnaloxone availabilitynaloxone dispensarynaloxone dispensationnaloxone dispensingnaloxone distributionnaloxone provisionnon A, non B hepatitisnon-A, non-B hepatitisoperationoperationsopiate deathsopiate mortalityopiate overdoseopiate related overdoseopioid deathsopioid drug overdoseopioid induced overdoseopioid intoxicationopioid medication overdoseopioid mortalityopioid overdoseopioid overdose deathopioid poisoningopioid related deathopioid related overdoseopioid toxicityoverdose deathoverdose educationoverdose fatalitiesoverdose preventionpreventpreventingprevention serviceprogramsprovide naloxonereduce overdosereduction in overdosereverse overdosesecondary analysisservice programsskin infectionsocial rolesocio-economicsocio-economicallysocioeconomicallysocioeconomicsspatial and temporalspatial temporalspatiotemporaltest striptooluser-friendlyviral hepatitis C
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Full Description

The goal of this project is to prevent and reduce deaths and injuries due to opioids in the United States by determining the best combination of state and local laws regulating overdose and infectious disease prevention services that are needed to reduce overdose rates and save lives. To do this, we will: 1) conduct original review of laws regulating overdose and infectious disease prevention services in the 482 U.S. municipalities with >75,000 people and in the states in which they are located; 2) create an extensive national dataset by merging data on state and local laws regulating overdose and infectious disease prevention services; emergency department and fatality data; information on local overdose and infectious disease prevention services; and socioeconomic indicators; 3) use the merged dataset to determine which combinations of state and local laws have resulted in the biggest decreases in overdoses and related health outcomes; and 4) determine which local characteristics enhanced those effective combinations of laws. Overdose deaths in the United States increased more than six-fold since 2001, and now account for more loss of life than high blood pressure, AIDS, and pneumonia. States and municipalities are combating this epidemic by passing laws to reduce overdoses, and by investing in access to overdose and infectious disease prevention services, including lifesaving overdose reversal medications (e.g., naloxone) and testing supplies (e.g., fentanyl and xylazine test strips).

But these efforts are often undertaken in isolation and without considering how the different state and local laws interact or how local factors like access to overdose and infectious disease prevention services influence their effectiveness. This project will help answer those questions by using large data and powerful analytics to bring together all the evidence on this complicated topic. At the end of the project, we will be able to answer the following questions: What combinations of state and local laws regulating overdose and infectious disease prevention services most effectively prevent and reduce opioid deaths and injuries in the United States? And how can local jurisdictions most effectively implement these legal frameworks to maximize public health benefit?

Grant Number: 5R01DA051509-04
NIH Institute/Center: NIH

Principal Investigator: Magdalena Cerda

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