Observational studyDrug and alcohol dependence2018
Sociodemographic factors, prescription history and opioid overdose deaths: a statewide analysis using linked PDMP and mortality data.
Observational study in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evidence-based framework for identifying opioid use disorder in administrative data: A systematic review and methodological development study.Pain medicine (Malden, Mass.) · 2026Pooled it
- Sociodemographic and Toxico-clinical Characteristics of Patients with Opioid/Stimulant Poisoning.Addiction & health · 2025Article
- Drugs involved in Kentucky drug poisoning deaths and relation with antecedent controlled substance prescription dispensing.Substance abuse treatment, prevention, and policy · 2023Article
- Concordance of opioid exposure in all-payer claims databases with prescription drug monitoring program database using Arkansas as a case example.Health services research · 2023Article
- Intentional use of both opioids and cocaine in the United States.Preventive medicine reports · 2023Article
- Antecedents of fatal overdose in an adult cohort identified through administrative record linkage in Indiana, 2015-2022.Drug and alcohol dependence · 2023Article
- Concordance between controlled substance receipt and post-mortem toxicology in opioid-detected overdose deaths: A statewide analysis.Drug and alcohol dependence · 2023Article
- Article
- Trends, patterns, and maternal characteristics of opioid prescribing during pregnancy in a large population-based cohort study.Drug and alcohol dependence · 2022Article
- Article
- Responding to the opioid crisis in North America and beyond: recommendations of the Stanford-Lancet Commission.Lancet (London, England) · 2022Review
- Prevalences of and characteristics associated with single- and polydrug-involved U.S. Emergency Department Visits in 2018.Addictive behaviors · 2022Article
- Ensemble learning to predict opioid-related overdose using statewide prescription drug monitoring program and hospital discharge data in the state of Tennessee.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Trends in fatal and nonfatal overdose by race among people who inject drugs in Baltimore, Maryland from 1998 to 2019.Drug and alcohol dependence · 2021Observational
- Fatal opioid overdoses in the U.S. declined more than reported between 2017 and 2018.The American journal of drug and alcohol abuse · 2021Article
- Assessing opioid overdose risk: a review of clinical prediction models utilizing patient-level data.Translational research : the journal of laboratory and clinical medicine · 2021Review
- Nonmedical Prescription Opioid Use among a Sample of College Students: Prevalence and Predictors.Pharmacy (Basel, Switzerland) · 2021Article
- Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area.Computers, environment and urban systems · 2021Article
- Using prescribing and toxicology data to determine non-medical prescription drug overdose.Addictive behaviors reports · 2020Article
- Predictive Modeling of Opioid Overdose Using Linked Statewide Medical and Criminal Justice Data.JAMA psychiatry · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundOpioid overdose deaths have continued to rise in Tennessee (TN) with fentanyl emerging as a major contributor. Current data are needed to identify at-risk populations to guide prevention strategies. We conducted a large statewide observational study among TN adult decedents (2013-2016) to evaluate the association of sociodemographic factors and prescribing patterns with opioid overdose deaths.
methodsAmong drug overdose decedents identified using death certificate data (n = 5483), we used logistic regression to estimate adjusted odds ratios and 95% confidence intervals for characteristics associated with prescription opioid (PO) (excluding fentanyl), fentanyl, and heroin alone overdoses. Among decedents linked to TN's Prescription Drug Monitoring Database using deterministic algorithms, we obtained prescription history in the year before death (n = 3971), which was evaluated by type of overdose using descriptive statistics.
resultsYounger, non-White decedents had lower odds of PO overdose, while females and benzodiazepines as a contributing cause were associated with increased odds of PO overdose. Younger age, Non-Hispanic Black race/ethnicity, greater than high school education, and cocaine/other stimulants as a contributing cause were associated with increased odds of fentanyl or heroin overdoses. Over 55% of PO, 39.2% of fentanyl, and 20.7% of heroin overdoses had an active opioid prescription at death. For PO, fentanyl, and heroin decedents, respectively, 46.0%, 30.5%, and 26.2% had an active prescription for benzodiazepines at death.
conclusionsPrescription opioid overdose deaths were associated with different sociodemographic profiles and prescribing history compared to fentanyl and heroin overdose deaths in TN. Data can guide prevention strategies to reduce opioid overdose mortality.
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