Urine Drug Testing among Opioid-Naïve and Long-Term Opioid Nevada Medicaid Beneficiaries
Bibliographic Data
| ID | 21646098 |
|---|---|
| Authors | Sarah Friedman (0000-0001-7231-2976, School of Community Health Sciences, University of Nevada, Reno, Reno, Nevada, USA, corresponding author), Kirtan Patel (0000-0002-2298-224X, Renown Health, Reno, Nevada, USA), Yan Liu (0000-0002-1612-779X, School of Community Health Sciences, University of Nevada, Reno, Reno, Nevada, USA), Sarah Hartzell (0000-0002-7041-6891, School of Community Health Sciences, University of Nevada, Reno, Reno, Nevada, USA), Michelle S Keller (0000-0002-8157-7586, Cedars-Sinai Medical Center) |
| Year | 2020 |
| Volume | 55 |
| Issue | 14 |
| Pages | 2314-2320 |
| Publication date | 2020-11-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Substance Use & Misuse (JOURNAL) |
| Journal identifiers | ISSN: 1082-6084 • E-ISSN: 1532-2491 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10826084.2020.1805467 |
| PMID | 32835582 |
| OpenAlex | W3080097214 |
| Language | EN |
| References cited | 18 |
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
Confidence interval · Hazard ratio · Health care · Medicaid · Medical prescription · Opioid · Opioid use disorder · Psychiatry · Substance abuse · Medicine · Opioid Use Disorder Treatment · Poisoning and overdose treatments · Substance Abuse Treatment and Outcomes · Internal Medicine · Pharmacology
| Highly cited | No |
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