| Literature DB >> 34742607 |
Robert Rosales1, Tim Janssen2, Julia Yermash3, Kimberly R Yap4, Elizabeth L Ball5, Bryan Hartzler6, Bryan R Garner7, Sara J Becker8.
Abstract
INTRODUCTION: The COVID-19 pandemic collided with the opioid epidemic and longstanding health inequities to exacerbate the disproportionate harms experienced by persons with opioid use disorder (OUD) who self-identify as from racial and ethnic minority groups. Disrupted access to harm reduction services (e.g., naloxone, sterile syringes, recovery support) is one pathway whereby COVID-19 might exacerbate health disparities. We tested the hypothesis that persons receiving medication for opioid use disorder (MOUD) who self-identify as from racial/ethnic minority groups would experience more disruptions in access to harm reduction services than persons identifying as non-Hispanic White, even when controlling for severity of opioid use and sociodemographics (e.g., education, income, biological sex, age).Entities:
Keywords: COVID-19; Disparities; Harm reduction; Inequity; Opioids
Mesh:
Year: 2021 PMID: 34742607 PMCID: PMC8566093 DOI: 10.1016/j.jsat.2021.108648
Source DB: PubMed Journal: J Subst Abuse Treat ISSN: 0740-5472
Socio-demographic and clinical characteristics by racial/ethnic status.
| Continuous variables | Total sample ( | Non-Hispanic White ( | Racial/ethnic minorities ( | ||||
|---|---|---|---|---|---|---|---|
| M | M | M | |||||
| Age | 36.0 | 9.8 | 36.0 | 10.2 | 36.2 | 7.8 | .93 |
| Past 30-day prescription opioid use days | 10.4 | 12.7 | 11.0 | 12.9 | 7.9 | 11.7 | .24 |
| Past 30-day heroin use days | 14.5 | 12.8 | 15.0 | 12.8 | 12.8 | 13.1 | .44 |
| Count of opioid problems | 6.4 | 4.4 | 6.4 | 4.4 | 6.3 | 4.5 | .91 |
Logistic regression analyses predicting increased disruption to harm reduction services during COVID-19 (N = 133).
| Predictors | Naloxone | Sterile syringes | Recovery support | |||
|---|---|---|---|---|---|---|
| AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | |
| Racial/ethnic status | 9.89 | 1.95–49.95 | 7.87 | 1.87-33.02 | 1.32 | 0.49-3.54 |
| Past 30-day opioid use | 1.04 | 0.99–1.08 | 1.00 | 0.95–1.03 | 1.01 | 0.98–1.03 |
| Count of opioid problems | 1.14 | 0.90–1.43 | 1.16 | 0.95–1.42 | 1.10 | 0.98–1.23 |
| College attainment | 0.47 | 0.08–2.62 | 2.43 | 0.60–9.72 | 0.81 | 0.33–1.97 |
| Biological sex | 0.93 | 0.20–4.23 | 1.32 | 0.30–5.65 | 0.60 | 0.26–1.38 |
| Age | 0.99 | 0.90–1.08 | 0.95 | 0.86–1.03 | 0.98 | 0.93–1.02 |
Note. AOR = adjusted odds ratios; 95% CI = 95% confidence intervals.
p < .01.