Assessing Spatial Relationships between Prescription Drugs, Race, and Overdose in New York State from 2013 to 2015
Bibliographic Data
| ID | 13912948 |
|---|---|
| Authors | Phillip L Marotta (0000-0001-6449-0940, Columbia University, corresponding author), Tim Hunt (0000-0001-5174-6038, Columbia University), Timothy Hunt (0000-0002-5418-3979, Columbia University), Louisa Gilbert (0000-0003-2715-8310, Columbia University), Elwin Wu (0000-0003-4253-3430, Columbia University), Dawn Goddard-Eckrich (Columbia University), Dawn Goddard‐eckrich (0000-0002-3456-2322, Columbia University), Nabila El-Bassel (0000-0002-0049-5686, Columbia University) |
| Year | 2019 |
| Volume | 51 |
| Issue | 4 |
| Pages | 360-370 |
| Publication date | 2019-05-05 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Psychoactive Drugs (JOURNAL) |
| Journal identifiers | ISSN: 0279-1072 • E-ISSN: 2159-9777 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/02791072.2019.1599472 |
| PMID | 31056042 |
| OpenAlex | W2944558974 |
| Language | EN |
| Citations received | 8 |
| References cited | 49 |
Over the last decade, New York State has experienced one of the greatest increases in opioid overdose deaths in the United States, particularly from heroin and synthetic opioids. This study investigated spatial patterns in the distribution of county-level rates of overdose deaths in New York State and associations between prescriptions for opioid pain relievers, race, and overdose deaths from 2013-2015. Global and local Moran's I tests for spatial autocorrelation examined Bayesian smoothed rates of overdose for clusters of counties with high and low rates of overdose mortality. Getis Ord* analyses identified local hotspots of high and low clusters of overdose. Model performance indicators selected the best-fitting spatial regression model to examine associations between prescriptions for opioid pain relievers, race/ethnicity (non-Hispanic White, Black, and Hispanic) after adjusting for spatial dependence in the data. Socio-demographic characteristics of clusters were examined. Findings suggest rates of opioid overdose deaths are clustered in New York. Rates of prescription opioids were associated with rates of overdose from any opioid, prescription pain relievers, and synthetic opioids. Greater populations of African Americans were associated with greater rates of heroin overdose death rates. Findings from this study inform public health opioid overdose prevention interventions and policies
Drug · Drug overdose · Environmental health · Ethnic group · Heroin · Injury prevention · Medical prescription · Opioid · Opioid overdose · Poison control · Psychiatry · Psychological intervention · Public health · Demography · Health disparities and outcomes · Healthcare Policy and Management · Medicine · Opioid Use Disorder Treatment · Internal Medicine · Pharmacology
Imbalance in spatiotemporal analysis of narcotics-related activities
Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area
Examining Increasing Racial Inequities in Opioid Overdose Deaths
Rural risk environments, opioid-related overdose, and infectious diseases
Geographical Aspects of Recent Trends in Drug-Related Deaths, with a Focus on Intra-National Contextual Variation
Fatal overdose
A place-based spatial analysis of racial inequities in overdose in St. Louis County Missouri, United States
Geographic information science and the United States opioid overdose crisis
Spatial Econometrics
GeoDa
Relationship between Nonmedical Prescription-Opioid Use and Heroin Use
Notes on Continuous Stochastic Phenomena
Efficient tests for normality, homoscedasticity and serial independence of regression residuals
Increases in Drug and Opioid-Involved Overdose Deaths — United States, 2010–2015
Simple diagnostic tests for spatial dependence
Drug and Opioid-Involved Overdose Deaths — United States, 2013–2017
Notes on Continuous Stochastic Phenomena
Urban vs. rural differences in prescription opioid misuse among adults in the United States
Spatial autocorrelation analysis of health care hotspots in Taiwan in 2006
Determinants of Increased Opioid-Related Mortality in the United States and Canada, 1990–2013
Hot spots in mortality from drug poisoning in the United States, 2007–2009
Geospatial Analysis of Drug Poisoning Deaths Involving Heroin in the USA, 2000–2014
Neighborhood-Level and Spatial Characteristics Associated with Lay Naloxone Reversal Events and Opioid Overdose Deaths
Revisiting the Role of the Urban Environment in Substance Use
Engaging Law Enforcement in Overdose Reversal Initiatives
Understanding the Rural–Urban Differences in Nonmedical Prescription Opioid Use and Abuse in the United States
Exploratory Spatial Data Analysis Techniques for Examining Urban Crime
Local Indicators of Spatial Association—Lisa
| Unique citing works | 8 |
|---|---|
| Citations per year | 1,33 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 8 |