ArticleJournal of community health2019
Understanding Geographic and Neighborhood Variations in Overdose Death Rates.
Article in Journal of community health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- The community representative council of the National Drug Abuse Treatment Clinical Trials Network: Co-design and early impact.Journal of substance use and addiction treatment · 2026Article
- Community alcohol sales and opioid poisoning deaths: Alcohol serving space as a harm reduction opportunity.Harm reduction journal · 2024Article
- Community-based naloxone coverage equity for the prevention of opioid overdose fatalities in racial/ethnic minority communities in Massachusetts and Rhode Island.Addiction (Abingdon, England) · 2022Article
- Racial/Ethnic and Geographic Trends in Combined Stimulant/Opioid Overdoses, 2007-2019.American journal of epidemiology · 2022Article
- Examining Opioid Overdose Deaths across Communities Defined by Racial Composition: a Multiscale Geographically Weighted Regression Approach.Journal of urban health : bulletin of the New York Academy of Medicine · 2021Article
- COVID-19 risks among people who inject drugs in Puerto Rico.The International journal on drug policy · 2021Article
- The opioid epidemic: Mobilizing an academic health center to improve outcomes.Journal of substance abuse treatment · 2021Article
- A rapid-cycle assessment strategy for understanding the opioid overdose epidemic in local communities.Substance abuse · 2021Article
- Geospatial Variations and Neighborhood Deprivation in Drug-Related Admissions and Overdoses.Journal of urban health : bulletin of the New York Academy of Medicine · 2020Article
- Rural risk environments, opioid-related overdose, and infectious diseases: A multidimensional, spatial perspective.The International journal on drug policy · 2020Article
- Prescription Drug Abuse Among Patients in Rural Dental Practices Reported by Members of the National Dental PBRN.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current opioid epidemic continues to challenge us in new and potentially troubling ways. For example, research today finds more overdose deaths occurring in rural, rather than urban, geographic areas. Yet, studies have often ignored heterogeneities within these spaces and the neighborhood variations therein. Using geodemographic classification, we investigate neighborhood differences in overdose death rates by geographical areas to further understand where and among what groups the problem might be most concentrated. For deaths between 2013 and 2016, we find significant variation in rates among neighborhoods, defined by their socio-economic and demographic characteristics. For example, overdose death rates vary up to 13-fold among neighborhoods within geographic areas. Our results overall show that while the rural or urban classification of a geographic area is important in understanding the current overdose problem, a more segmented analysis by neighborhood's socio-economic and demographic makeup is also necessary.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.