| Literature DB >> 34174927 |
Annemarie Goytan1, William Lee1, Huiru Dong1,2, Kanna Hayashi1,3, M J Milloy1,4, Thomas Kerr5,6.
Abstract
BACKGROUND: Settings throughout the United States and Canada are contending with high rates of drug-related overdose. This in turn has prompted efforts to more effectively engage people who use drugs (PWUD) in treatment and care. However, while co-morbid mental disorders are prevalent among PWUD and can undermine access to services, the impact of post-traumatic stress disorder (PTSD) on service access is not known. Therefore, we sought to assess whether PTSD is associated with difficulties accessing health and social services among PWUD in Vancouver, Canada.Entities:
Keywords: Drug use; Healthcare; Mental health; Post-traumatic stress disorder; Service access; Trauma
Year: 2021 PMID: 34174927 PMCID: PMC8233608 DOI: 10.1186/s13011-021-00390-x
Source DB: PubMed Journal: Subst Abuse Treat Prev Policy ISSN: 1747-597X
Bivariable and multivariable GEE analysis of factors associated with inability to access services among PWUD
| Unadjusted | Adjusted | |||
|---|---|---|---|---|
| Characteristic | Odds Ratio (95% CI) | Odds Ratio (95% CI) | ||
| PTSD | ||||
| (≥31 vs. < 31) | 2.13 (1.44–3.15) | < 0.001* | 1.69 (1.12–2.55) | < 0.0012* |
| Median Age | ||||
| (≥median vs. <median) | 0.45 (0.30–0.67) | < 0.001* | – | – |
| Gender | ||||
| (female vs. male) | 1.01 (0.66–1.53) | 0.971 | – | – |
| (gender minority vs. male) | 1.61 (0.45–5.72) | 0.464 | – | – |
| Sexual Orientation | ||||
| (straight vs. others) | 0.62 (0.38–1.01) | 0.055 | 0.55 (0.33–0.92) | 0.022* |
| Ethnicity | ||||
| (white vs. BIPOC)* | 1.10 (0.74–1.63) | 0.636 | – | – |
| Homelessnessa | ||||
| (yes vs. no) | 13.66 (8.96–20.83) | < 0.001* | 13.84 (8.96–21.36) | < 0.001* |
| Recent Incarcerationa | ||||
| (yes vs. no) | 5.06 (2.66–9.62) | < 0.001* | – | – |
| Sex Work Involvementa | ||||
| (yes vs. no) | 1.59 (0.88–2.86) | 0.124 | – | – |
| Overdosea | ||||
| (yes vs. no) | 2.51 (1.59–3.98) | < 0.001* | – | – |
| Employmenta | ||||
| (yes vs. no) | 0.95 (0.62–1.45) | 0.815 | – | – |
| Alcohol Bingea | ||||
| (yes vs. no) | 1.50 (0.94–2.40) | 0.090 | – | – |
| Daily Prescription Opioid Usea | ||||
| (yes vs. no) | 0.85 (0.24–2.97) | 0.800 | – | – |
| Daily Heroin Usea | ||||
| (yes vs. no) | 1.87 (1.26–2.76) | 0.002* | – | – |
| Daily Crack Usea | ||||
| (yes vs. no) | 0.54 (0.27–1.10) | 0.088 | – | – |
| Daily Cocaine Usea | ||||
| (yes vs. no) | 0.70 (0.27–1.85) | 0.478 | – | – |
| Daily Meth Usea | ||||
| (yes vs. no) | 2.09 (1.33–3.29) | 0.001* | – | – |
| Cohort | ||||
| (ACCESS vs. VIDUS) | 0.58 (0.39–0.88) | 0.010* | ||
a Behaviours refer to activities in the last 6 months
*BIPOC refers to Black, Indigenous or other People of Colour