Association of Chronic Opioid Use With Presidential Voting Patterns in US Counties in 2016
| Autor: | David N. Juurlink, Mukaila A. Raji, David Brown, Yong Fang Kuo, James S. Goodwin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Databases Factual Presidential election Cross-sectional study media_common.quotation_subject education Medicare Part D 01 natural sciences Odds 03 medical and health sciences 0302 clinical medicine Voting Humans 030212 general & internal medicine 0101 mathematics Socioeconomic status health care economics and organizations media_common Original Investigation Local Government Geography Research Opiate Alkaloids 010102 general mathematics Multilevel model Politics General Medicine Middle Aged Opioid-Related Disorders United States humanities 3. Good health Analgesics Opioid Molecular Weight Online Only Cross-Sectional Studies Prescriptions Socioeconomic Factors Multilevel Analysis Female Residence Public Health Demography |
| Zdroj: | JAMA Network Open |
| ISSN: | 2574-3805 |
| Popis: | Key Points Question To what extent do socioeconomic measurements explain the county-level association of the 2016 US Republican presidential vote with opioid use? Findings This cross-sectional analysis of a national sample of Medicare claims data found that chronic use of prescription opioid drugs was correlated with support for the Republican candidate in the 2016 US presidential election. Individual and county-level socioeconomic measures explained much of the association between the presidential vote and opioid use. Meaning The association of the presidential vote with chronic opioid use underscores the importance of cultural, economic, and environmental factors associated with the opioid epidemic. This study examines US county-level correlations between the proportion of Medicare Part D enrollees receiving a ≥90-day supply of opioids and the proportion of the county voting for Donald Trump for US president. Importance The causes of the opioid epidemic are incompletely understood. Objective To explore the overlap between the geographic distribution of US counties with high opioid use and the vote for the Republican candidate in the 2016 presidential election. Design, Setting, and Participants A cross-sectional analysis to explore the extent to which individual- and county-level demographic and economic measures explain the association of opioid use with the 2016 presidential vote at the county level, using rate of prescriptions for at least a 90-day supply of opioids in 2015. Medicare Part D enrollees (N = 3 764 361) constituting a 20% national sample were included. Main Outcomes and Measures Chronic opioid use was measured by county rate of receiving a 90-day or greater supply of opioids prescribed in 2015. Results Of the 3 764 361 Medicare Part D enrollees in the 20% sample, 679 314 (18.0%) were younger than 65 years, 2 283 007 (60.6%) were female, 3 053 688 (81.1%) were non-Hispanic white, 351 985 (9.3%) were non-Hispanic black, and 198 778 (5.3%) were Hispanic. In a multilevel analysis including county and enrollee, the county of residence explained 9.2% of an enrollee’s odds of receiving prolonged opioids after adjusting for individual enrollee characteristics. The correlation between a county’s Republican presidential vote and the adjusted rate of Medicare Part D recipients receiving prescriptions for prolonged opioid use was 0.42 (P |
| Databáze: | OpenAIRE |
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