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Association Between Community Characteristics and Opioid Prescribing Rates

  • Wesley G. Jennings
  • Nicholas Perez
  • Chris Delcher
  • Yanning Wang
Chapter
  • 12 Downloads
Part of the SpringerBriefs in Criminology book series (BRIEFSCRIMINOL)

Abstract

Past research has shown that certain community characteristics are associated with local opioid prescribing trends (Guy et al., MMWR-Morbid Mortal W, 66(26):697–704, 2017; see also: University of Kentucky College of Pharmacy, 2019). The current chapter utilizes U.S. Census data and data from the PBSS from 2012–2017 to examine the association between community characteristics (demographics, population density, housing, income, employment, and health) and the opioid prescribing rate in California counties. Utilizing a series of Poisson regression models, each category of community characteristics were bivariately tested for an association with opioid prescribing behavior, along with a multivariable model with all community characteristics entered simultaneously. The results suggest that each type of community characteristics was independently and significantly associated with the 2012–2017 opioid prescribing rate (averaged by quarter for each year). Furthermore, even when controlling for the other important measures, nearly all of these relationships maintained their significant and independent association with opioid prescribing rates.

Keywords

Opioids Drugs Substance use Prescriptions Counties Epidemic 

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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Wesley G. Jennings
    • 1
  • Nicholas Perez
    • 2
  • Chris Delcher
    • 3
  • Yanning Wang
    • 4
  1. 1.Department of Legal StudiesUniversity of MississippiUniversityUSA
  2. 2.School of Criminology, Criminal Justice, and Emergency ManagementCalifornia State University SystemLong BeachUSA
  3. 3.Department of Pharmacy Practice and ScienceUniversity of KentuckyLexingtonUSA
  4. 4.Department of Health Outcomes and Biomedical InformaticsUniversity of FloridaGainesvilleUSA

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