| Literature DB >> 35679695 |
Stephanie Glegg1, Karen McCrae2, Gillian Kolla3, Natasha Touesnard4, Jeffrey Turnbull5, Thomas D Brothers6, Rupinder Brar7, Christy Sutherland8, Bernard Le Foll9, Andrea Sereda10, Marie-Ève Goyer11, Nanky Rai12, Scott Bernstein13, Nadia Fairbairn2.
Abstract
OBJECTIVES: In the context of the ongoing overdose crisis, a stark increase in toxic drug deaths from the unregulated street supply accompanied the onset of the COVID-19 pandemic. Injectable opioid agonist treatment (iOAT - hydromorphone or medical-grade heroin), tablet-based iOAT (TiOAT), and safer supply prescribing are emerging interventions used to address this crisis in Canada. Given rapid clinical guidance and policy change to enable their local adoption, our objectives were to describe the state of these interventions before the pandemic, and to document and explain changes in implementation during the early pandemic response (March-May 2020).Entities:
Keywords: Addiction; COVID-19 pandemic; Canada; Harm reduction; Injectable opioid agonist treatment; Safer supply; Service delivery models; Substance use
Mesh:
Year: 2022 PMID: 35679695 PMCID: PMC9170132 DOI: 10.1016/j.drugpo.2022.103742
Source DB: PubMed Journal: Int J Drug Policy ISSN: 0955-3959
Fig. 1Participating sites.
Client demographic data at time point 1 (Mar 1), by service type.
| Sites reporting | Sites reporting | Sites reporting | Sites reporting | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | % | # | % | # | % | # | % | ||||||
| Total starts | 18 | 95% | 2 | 67% | 19 | 90% | 39 | 91% | |||||
| Active clients | 19 | 100% | 2 | 67% | 17 | 81% | 38 | 88% | |||||
| Waitlist count | 5 | 26% | 1 | 33% | 5 | 6% | 11 | 26% | |||||
| Mean age [range] | 8[12] | 42%[63%] | 2[2] | 67%[67%] | 7[16] | 33%[76%] | 17[30] | 40[70%] | |||||
| Gender | % M | 15 | 79% | 2 | 67% | 15 | 71% | 32 | 74% | ||||
| % W | |||||||||||||
| % T | |||||||||||||
| % Indigenous | 9 | 47% | 0 | 0 | 15 | 71% | 24 | 56% | |||||
| % Non-Indigenous | |||||||||||||
Note: Total starts = # clients ever accessing prescriptions; # active clients = # clients accessing services within 1 week of the scan reference date; M = man; W = woman; T = transgender, non-binary, Two-Spirit, genderfluid. Missing data were omitted when calculating means, ranges and proportions.
Available safer supply/risk mitigation substances by region.
| Mar | May | Mar | May | Mar | May | Mar | May | Mar | May | Mar | May | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Opioids | 21 | 2 | 0 | 15 | 2 | 2 | ||||||
| Benzodiazepines | 4 | 0 | 0 | 0 | 0 | 2 | 2 | |||||
| Stimulants | 5 | 1 | 0 | 2 | 2 | 0 | 0 | |||||
| Cannabis | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||
| Alcohol | 8 | 0 | 0 | 0 | 8 | 0 | 0 | |||||
| Nicotine products | 9 | 0 | 0 | 0 | 9 | 9 | 0 | 0 | 0 | |||
| 21 | 2 | 0 | 15 | 2 | 2 | |||||||
Note: Bold font denotes increases by second scan reference date. Opioids included hydromorphone (Dilaudid, generic, contin), morphine (Kadian, M Eslon), methadone, Sublocade, Suboxone, fentanyl (patch, IV), and oxycodone. Specified benzodiazepines included Lorazepam, Clonazepam, and Diazepam. Specified stimulants included dextroamphetamine and methylphenidate. Alcohol included beer and wine. Nicotine products included nicotine patches and gum, cigarettes, and nicotine cessation medication.
Service delivery model components, by service type.
| Comprehensive, dedicated iOAT clinic | 3 (16%) | 1 (33%) | 0 | 2 (3%) | |
| Hospital-based | 2 (11%) | 0 | 2 (10%) | 1 (2%) | |
| Pharmacy-based | 0 | 0 | 0 | 0 | |
| Dedicated safer supply clinic | 0 | 0 | 1 (5%) | 0 | |
| Prescriber's private practice | 0 | 0 | 4 (19%) | 5 (8%) | |
| Mobile outreach | 0 | 0 | 1 (5%) | 1 (2%) | |
| COVID-19 isolation unit | 0 | 0 | 0 | 2 (3%) | |
| Vending machine dispensing | 0 | 0 | 1 (5%) | 0 | |
| 5 (26%) | 0 | 3 (%) | 4 (7%) | ||
| 1 (5%) | 0 | 1 (5%) | 0 | ||
| 3 (16%) | 0 | 4 (19%) | 0 | ||
| 0 | 0 | 1 (5%) | 19 (32%) | ||
| 4 (22%) | 0 | 5 (24%) | 3 (5%) | ||
| 0 | 0 | 0 | 25 (42%) | ||
| 2 (11%) | 2 (67%) | 0 | 3 (5%) | ||
| 0 | 0 | 0 | 4 (7%) | ||
| 0 | 0 | 0 | 2 (3%) | ||
| 0 | 0 | 0 | 7 (12%) | ||
| 0 | 0 | 0 | 1 (2%) | ||
| Onsite pharmacy | 8 (44%) | 2 (67%) | 24 (55%) | ||
| Hospital pharmacy partner | 2 (11%) | 0 | 4 (9%) | ||
| Community pharmacy partner | 5 (28%) | 1 (33%) | 5 (11%) | ||
| Informal relationship with some pharmacies | 0 | 0 | 1 (2%) | ||
| Patient choice | 3 (17%) | 0 | 26 (59%) | ||
| Delivery available | 5 (28%) | 0 | 15 (%) | ||
| Every 6 weeks or less | 0 | 0 | 4 (11%) | ||
| Every 4 weeks | 0 | 2 (100%) | 21 (60%) | ||
| Every 2 weeks | 0 | 1 (50%) | 16 (46%) | ||
| Weekly | 0 | 0 | 21 (60%) | ||
| More than once per week | 19 (100%) | 0 | 2 (6%) | ||
| Federal government | 1 (5%) | 0 | 3 (4%) | ||
| Provincial government Ministries | 9 (47%) | 0 | 0 | ||
| Health authorities | 12 (63%) | 3 (100%) | 10 (12%) | ||
| Community partners | 6 (32%) | 1 (33%) | 2 (2%) | ||
| Private donations | 0 | 0 | 2 (2%) | ||
| Patient fees | 0 | 0 | 2 (2%) | ||
| No funding | 0 | 0 | 64 (79%) | ||
Note: iOAT=injectable opioid agonist treatment; TiOAT=tablet-based iOAT; % add to more than 100% where more than one model was reported at a site; % represent only the proportion of those reporting.