| Autor: |
Xiang, Anthony, Hou, Wei, Rashidian, Sina, Rosenthal, Richard N, Abell-Hart, Kayley, Zhao, Xia, Wang, Fusheng |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
JMIR Public Health and Surveillance, Vol 7, Iss 4, p e23426 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2369-2960 |
| DOI: |
10.2196/23426 |
| Popis: |
BackgroundOpioid overdose-related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP) and opioid use disorder (OUD). ObjectiveWe aimed to discover geospatial patterns in nonmedical opioid use and its correlations with demographic features related to despair and economic hardship, most notably the US presidential voting patterns in 2016 at census tract level in New York State. MethodsThis cross-sectional analysis used data from New York Statewide Planning and Research Cooperative System claims data and the presidential voting results of 2016 in New York State from the Harvard Election Data Archive. We included 63,958 patients who had at least one OUD diagnosis between 2010 and 2016 and 36,004 patients with at least one OP diagnosis between 2012 and 2016. Geospatial mappings were created to compare areas of New York in OUD rates and presidential voting patterns. A multiple regression model examines the extent that certain factors explain OUD rate variation. ResultsSeveral areas shared similar patterns of OUD rates and Republican vote: census tracts in western New York, central New York, and Suffolk County. The correlation between OUD rates and the Republican vote was .38 (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
