196
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Urine Drug Testing among Opioid-Naïve and Long-Term Opioid Nevada Medicaid Beneficiaries

, , , & ORCID Icon
Pages 2314-2320 | Published online: 24 Aug 2020
 

Abstract

Background

Current guidelines recommend that, when prescribing opioids, providers use urine drug testing (UDT) for harm reduction. Objective: To identify whether Medicaid beneficiaries in Nevada at increased risk for opioid misuse received UDT. Methods: We used Nevada Medicaid claims data (2017–2018) to describe UDT among three samples: opioid naïve patients (N = 11,326), opioid naïve patients with a second follow-up prescription (N = 8,910), and long-term opioid patients (N = 19,173). Predictors of opioid misuse include past diagnoses of mental health and substance use, demographic characteristics and potentially risky behaviors. Outcomes include receiving UDT prior to opioid prescription among the two naïve samples and within six months for the long-term sample. We report predicted probabilities (PP) from logistic regressions and hazard ratios (HR) and Kaplan-Meier curves. Results: A small percentage of patients received UDT (naïve sample: 2.5%; naïve with a second follow-up prescription sample: 3.5%; long-term sample: 9.9%). Adults with alcohol disorders and other substance use disorders had the highest PP of UDT, among both the naïve (alcohol related disorder: 3.1%; other substance use disorder: 7.7%) and the naïve with a second follow-up prescription (alcohol related disorder: 4.1%; other substance use disorder: 11.7%) samples. Among the long-term sample, similar predictors were significant. Conclusions: Although there was an association between having risk factors for opioid misuse (e.g. past alchohol disorders and other substance use disorder diagnoses) and receiving UDT, the percentage of patients who received UDT was unexpectedly low, pointing to the need to increase guideline adherence and implementation among providers who prescribe opioids.

Acknowledments

The authors would like to acknowledge Carl Thomas for his assistance in creating Web Appendix Figure 1 (Supplementry material) for this paper.

Disclosure statement

The authors report no conflicts of interest.

Data availability

The dataset analyzed during the current study are not publicly available due to the data use agreement between the University of Nevada-Reno and Nevada Department of Healthcare Financing and Policy.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 943.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.