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Principal Investigator: Naleef Fareed
Organization: OHIO STATE UNIVERSITY
Fiscal Year: 2024
Award: $186,244
Funding agency: National Institute on Drug Abuse
Project Summary
The opioid crisis in the United States has reached a critical stage, with unprecedented levels of illness and
death. In 2021, over 106,000 individuals died from drug overdoses, with opioids contributing to more than
80,000 of these deaths, accounting for 75% of all drug-related fatalities. Ohio has been particularly affected,
ranking fourth nationally in overdose death rates in 2019, and experiencing a shocking 1000% increase in
opioid-related deaths in Cuyahoga County from 2007 to 2016. By 2021, Ohio reported an opioid-related death
rate of 48.1 per 100,000 residents, significantly higher than the national average, and saw a notable surge in
opioid overdoses during the COVID-19 pandemic. Alongside the loss of life, Ohio faces increased risks of
Hepatitis C and HIV epidemics due to opioid misuse. Certain demographics, including the unemployed,
homeless, those with lower education levels, lacking social support and health insurance, and individuals in the
legal system, are disproportionately affected by opioid overdoses. Despite concerted efforts and dedicated
resources to combat opioid use disorder (OUD), a major challenge in addressing Ohio's opioid crisis remains
the lack of reliable estimates of OUD prevalence. This proposed study extends the work of the Opioid and
Substance Use Disorder Data Enclave (O-SUDDEn) project, which aims to improve overdose mortality
prediction by linking data. Building on this framework, the supplement will develop a model to estimate opioid
use disorder (OUD) prevalence in Ohio more accurately. This data integration will enhance existing predictive
models and inform targeted public health policies to address the opioid crisis. The study's central hypothesis is
that by refining prevalence estimation to reflect OUD patterns and associated risk factors, evidence-based
strategies and interventions can be implemented to reduce opioid-related fatalities and improve public health
outcomes in Ohio. The study aims to achieve the following objectives: Aim 1: Develop and Validate a Capture-
Recapture Approach Based on a Heterogeneity Model to Estimate the Prevalence of Opioid Use Disorder
(OUD). This involves creating a model that integrates observed and unobserved variations in opioid-related
outcomes to estimate the prevalence of OUD at the county level in Ohio. Aim 2: Assess the Impact of
Demographic and Socioeconomic Factors on the Estimated Prevalence of OUD. This aim aims to use the
refined prevalence estimates from Aim 1 to analyze how demographic and socioeconomic factors influence the
distribution of OUD across different geographical areas and populations.
Terms: <Access to Care><Accounting><Address><Affect><Area><COVID crisis><COVID epidemic><COVID pandemic><COVID-19 crisis><COVID-19 epidemic><COVID-19 era><COVID-19 global health crisis><COVID-19 global pandemic><COVID-19 health crisis><COVID-19 pandemic><COVID-19 period><COVID-19 public health crisis><COVID-19 years><Cessation of life><Communities><County><Data><Data Linkages><Death><Death Rate><Dedications><Demographic Impact><Derivation><Derivation procedure><Development><Disparities><Disparity><Drugs><Education><Educational Achievement><Educational Status><Educational aspects><Effectiveness of Interventions><Epidemic><Face><Formulation><Funding Mechanisms><Geographic Area><Geographic Locations><Geographic Region><Geographical Location><Geography><HCV/HIV><HIV and HCV><HIV and hepatitis C><HIV-HCV><HIV/HCV><HIV/Hepatitis C><Health><Health Insurance><Health Policy><Health Services Accessibility><Heterogeneity><Homelessness><Improve Access><Incidence><Individual><Inequity><Infrastructure><Intervention><Intervention Strategies><Knowledge><Legal system><Life><Link><Medication><Methods><Modeling><Monitor><Morbidity><Morbidity - disease rate><Nature><Ohio><Opiates><Opioid><Outcome><Overdose><Pattern><Persons><Pharmaceutical Preparations><Population><Prevalence><Public Health><Record Linkage Study><Reporting><Research Resources><Resolution><Resource Allocation><Resources><Risk><Risk Factors><SARS-CoV-2 epidemic><SARS-CoV-2 global health crisis><SARS-CoV-2 global pandemic><SARS-CoV-2 pandemic><SARS-coronavirus-2 epidemic><SARS-coronavirus-2 pandemic><Services><Severe Acute Respiratory Syndrome CoV 2 epidemic><Severe Acute Respiratory Syndrome CoV 2 pandemic><Severe acute respiratory syndrome coronavirus 2 epidemic><Severe acute respiratory syndrome coronavirus 2 pandemic><Social support><Socioeconomic Factors><Substance Use Disorder><Unemployment><United States><Variant><Variation><Vulnerable Populations><Work><access to health services><access to services><access to treatment><accessibility to health services><availability of services><care access><combat><computer based prediction><coronavirus disease 2019 crisis><coronavirus disease 2019 epidemic><coronavirus disease 2019 global health crisis><coronavirus disease 2019 global pandemic><coronavirus disease 2019 health crisis><coronavirus disease 2019 pandemic><coronavirus disease 2019 public health crisis><coronavirus disease crisis><coronavirus disease epidemic><coronavirus disease pandemic><coronavirus disease-19 global pandemic><coronavirus disease-19 pandemic><data enclave><data integration><demographics><developmental><drug/agent><educational level><epidemic concern><epidemic potential><epidemic risk><epidemic threat><evidence base><experience><faces><facial><geographic population><geographic site><health care policy><health insurance plan><health service access><health services availability><healthcare policy><homeless><improved><interventional strategy><jobless><joblessness><mortality><mortality rate><mortality ratio><non-medical opioid use><nonmedical opioid use><opiate consumption><opiate crisis><opiate deaths><opiate drug use><opiate intake><opiate misuse><opiate mortality><opiate overdose><opiate related overdose><opiate use><opiate use disorder><opioid consumption><opioid crisis><opioid deaths><opioid drug overdose><opioid drug use><opioid epidemic><opioid induced overdose><opioid intake><opioid intoxication><opioid medication overdose><opioid misuse><opioid mortality><opioid overdose><opioid overdose death><opioid poisoning><opioid related death><opioid related overdose><opioid toxicity><opioid use><opioid use disorder><out of work><overdose death><overdose fatalities><parent grant><predictive modeling><public health intervention><public health relevance><resolutions><service availability><severe acute respiratory syndrome coronavirus 2 global health crisis><severe acute respiratory syndrome coronavirus 2 global pandemic><social support network><socio-economic factors><substance use><substance use and disorder><substance using><training achievement><training level><training status><treatment access><unemployed><unhoused><vulnerable group><vulnerable individual><vulnerable people>