Spatial Non-stationarity in Opioid Prescribing Rates: Evidence from Older Medicare Part D Beneficiaries

Seulki Kim, Carla Shoff, Tse Chuan Yang

Research output: Contribution to journalArticlepeer-review

Abstract

Previous research that examined spatial patterns of opioid prescribing rates and factors associated with them has mainly relied on a global modeling perspective, overlooking the potential spatial non-stationarity embedded in these associations. In this study, we investigate whether there are spatially non-stationary associations between opioid prescribing rates and key characteristics of older Medicare Part D beneficiaries and their prescribers using several data sources from the Centers for Medicare and Medicaid Services. All measures are aggregated to the ZIP code-level and a total sample size of 18,126 ZIP codes is included in the analyses. Our descriptive results from geographically weighted regression and the Monte Carlo significance test suggest that most of the associations between the characteristics of beneficiaries and prescribers and opioid prescribing rates are spatially non-stationary. Our findings not only challenge the conventional analytic approach by highlighting the importance of a local modeling perspective in opioid prescribing research, but also offer nuanced insight into how opioid prescribing rates are related to possible determinants across space.

Original languageEnglish (US)
Pages (from-to)127-136
Number of pages10
JournalPopulation Research and Policy Review
Volume40
Issue number2
DOIs
StatePublished - Apr 2021
Externally publishedYes

Keywords

  • Geographically weighted regression
  • Medicare Part D prescription drug event
  • Opioid prescribing rate
  • Spatial non-stationarity

ASJC Scopus subject areas

  • Demography
  • Management, Monitoring, Policy and Law

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