| Literature DB >> 33061559 |
Pauline Voon1,2, Linwei Wang3,4, Ekaterina Nosova1, Kanna Hayashi1,5, Michael John Milloy1,6, Evan Wood1,6, Thomas Kerr1,6.
Abstract
AIM: Given that co-occurring pain is prevalent among people who use drugs (PWUD), we sought to explore the effect of pain severity on accessing addiction treatment.Entities:
Keywords: addiction; health services; methadone; opioid agonist treatment; pain; substance use
Year: 2020 PMID: 33061559 PMCID: PMC7534843 DOI: 10.2147/JPR.S255438
Source DB: PubMed Journal: J Pain Res ISSN: 1178-7090 Impact factor: 3.133
Figure 1Distribution of average pain severity scores stratified by ability to access addiction treatment (n=1348 contributing to 4240 observations).
Bivariable and Multivariable Generalized Linear Mixed Multiple Regression Analyses of Effect of Average Pain Severity on Self-reported Inability to Access Addiction Treatmenta Among People Who Use Drugs (n=1348)
| Unadjusted | Adjusteda | |||
|---|---|---|---|---|
| Average Pain Severityb | Odds Ratio (95%CI) | Odds Ratio (95%CI) | ||
| None (reference) | ||||
| Mild-moderate (1–5) | 1.74 (1.07–2.83) | 0.027 | 1.75 (1.08–2.82) | 0.023 |
| Moderate-severe (6–10) | 2.17 (1.37–3.43) | 0.001 | 1.98 (1.27–3.09) | 0.003 |
Notes: aAdjusted for confounders found to be significant at the level of p≤0.1 in the bivariable analyses (ie, age, ethnicity, homelessness, incarceration, violence, mental illness, overdose, heroin use, prescription opioid use, methamphetamine use, and heavy alcohol use). Activities/events refer to the six months prior to the participant’s interview. bAverage pain severity estimates as a numeric (ie, noncategorical) variable: unadjusted OR=1.11, 95%CI: 1.04–1.18, p<0.001; AOR (adjusted for same covariates as above adjusted model)=1.10, 95%CI: 1.04–1.17, p=0.002.