Increased drug use and the timing of social assistance receipt among people who use illicit drugs

No change in substance use disorders or overdose after implementation of state Earned Income Tax Credit (EITC)

BACKGROUND

Inadequate income is associated with higher likelihood of experiencing a substance use disorder (SUD). This study tests whether the earned income tax credit (EITC), which issues supplemental income for workers with children in the U.S., is associated with lower rates of SUD and fatal overdose.

METHODS

We examined the effects of state-level refundable EITC presence and generosity (i.e., state EITC rate as a % of federal rate) on SUD-related outcomes (SUD prevalence and intentional and unintentional fatal overdose) using a difference-in-difference methodology, with both two-way fixed-effects models and event study plots. Several sensitivity analyses were conducted to assess the robustness of findings. Five data sources were used to create a combined state-level longitudinal dataset.

RESULTS

We did not find significant effects of refundable EITC presence or generosity on unintentional or intentional fatal overdose or SUD prevalence in two-way models. Event study models detected a very slight upward shift in SUD prevalence following refundable EITC implementation (not seen in sensitivity analyses) and no significant effects of EITC implementation on any of the fatal overdose outcomes.

CONCLUSIONS

Evidence regarding income support programs is being highly sought by policy makers as income support programs have become increasingly popular policy levers since the start of the COVID-19 pandemic. Our study indicates EITC policies likely have no impact on SUD or overdose, however, other income support programs without family restrictions are important to investigate further.

Effect of Social Vulnerability on Cocaine-Related Mortality Rates in U.S. Counties

Cocaine-related mortality rates have risen sharply since 2013 and social vulnerability is a crucial indicator for drug-related mortality rates. Therefore, the purpose of this study was to investigate the relationship between social vulnerability and cocaine-related mortality rates in U.S. counties. The Data were collected from the CDC WONDER, CDC's Social Vulnerability Index (CDC's SVI), and American Community Survey (ACS). The Data were analyzed by spatial autoregression models. According to present results, first, counties with social vulnerability (socioeconomic) were positively related to higher rates of cocaine overdose death (spatial lag: B = 0.323, p < .05; spatial error: B = 0.513, p < .01). Second, counties with social vulnerability (minority status & language) were negatively related to higher rates of cocaine overdose death (spatial lag: B = -0.233, p < .05). Third, counties with social vulnerability (housing type & transportation) were positively related to higher rates of cocaine overdose death (spatial lag: B = 0.413, p < .001; spatial error: B = 0.378, p < .001). In conclusion, the spread of cocaine overdose on U.S. counties with social vulnerabilities demonstrated a disproportionate burden of cocaine-related mortality.

Effect of modified income assistance payment schedules on substance use service access: Evidence from an experimental study

BACKGROUND

Despite being critical to reducing the impacts of poverty internationally, synchronized monthly government income assistance payments are linked to intensified drug use and associated harms, including disrupted access to substance use-related services. This study evaluates whether alternative income assistance distribution schedules improve harm reduction (HR), pharmacotherapy and substance use service utilization.

METHODS

This exploratory, parallel group, unblinded, randomized controlled trial analyzed data from adults (n = 192) in Vancouver, Canada receiving income assistance, and reporting active, regular illicit drug use. Participants were randomly assigned on a 1:2:2 basis for six income assistance payment cycles to: (1) existing government schedules (control); (2) a "staggered" single monthly payment; or (3) "split & staggered" twice-monthly payments. Generalized linear mixed models analyzed secondary outcomes of HR, pharmacotherapy and substance use service utilization as well as barriers accessing these services.

RESULTS

Forty-five control, 71 staggered, and 76 split & staggered volunteers participated between 2015 and 2019. Multivariable modified per-protocol analyses demonstrate increased access to substance use services (Adjusted Odds Ratio [AOR] 1.64, 95% Confidence Interval [CI] 1.02-2.64) for split & staggered arm participants, and, conversely, increased barriers to HR for participants in the staggered (AOR 2.34, 95% CI 1.24-4.41) and split & staggered (AOR 2.16, 95% CI 1.08-4.35) arms. Results also showed decreased barriers to pharmacotherapy around government payments (AOR 0.23, 95% CI 0.06-0.90), pharmacotherapy around individual payments (AOR 0.12, 95% CI 0.02-0.58), and HR around individual payments (AOR 0.11, 95% CI 0.02-0.63) for staggered arm participants.

CONCLUSION

Modifying payments schedules demonstrate improved access to overall substance use services, and reduced barriers to HR and pharmacotherapy around income assistance payments. However, increased overall barriers to HR access were also shown. These complex, predominantly beneficial findings support the exploration of offering alternative payment schedules to support service access.

Multi-level influences on increased overdose risk behaviors during the COVID-19 pandemic among people who use drugs in Rhode Island: a qualitative investigation

BACKGROUND

The ongoing COVID-19 pandemic has disproportionately affected structurally vulnerable populations including people who use drugs (PWUD). Increased overdose risk behaviors among PWUD during the pandemic have been documented, with research underscoring the role of influencing factors such as isolation and job loss in these behaviors. Here, we use qualitative methods to examine the impact of the COVID-19 pandemic and pandemic-related response measures on drug use behaviors in a sample of PWUD in Rhode Island. Using a social-ecological framework, we highlight the nested, interactive levels of the pandemic's influence on increased overdose risk behaviors.

METHODS

From July to October 2021, semi-structured interviews were conducted with 18 PWUD who self-reported any increase in behaviors associated with overdose risk (e.g., increased use, change in drug type and/or more solitary drug use) relative to before the pandemic. Thematic analysis was conducted using a codebook with salient themes identified from interview guides and those that emerged through close reading of transcribed interviews. Guided by a social-ecological framework, themes were grouped into individual, network, institutional, and policy-level influences of the pandemic on drug use behaviors.

RESULTS

Individual-level influences on increased overdose risk behaviors included self-reported anxiety and depression, isolation and loneliness, and boredom. Network-level influences included changes in local drug supply and changes in social network composition specific to housing. At the institutional level, drug use patterns were influenced by reduced access to harm reduction or treatment services. At the policy level, increased overdose risk behaviors were related to financial changes, job loss, and business closures. All participants identified factors influencing overdose risk behaviors that corresponded to several nested social-ecological levels.

CONCLUSIONS

Participants identified multi-level influences of the COVID-19 pandemic and pandemic-related response measures on their drug use behavior patterns and overdose risk. These findings suggest that effective harm reduction during large-scale crises, such as the COVID-19 pandemic, must address several levels of influence concurrently.

Most recent, modal, or median heroin purchase: Does it matter when estimating market size?

BACKGROUND

Assessing the size of illicit drug markets is an important activity of many government agencies; however, the expenditure-based method for estimating market size relies on the relatively untested assumption that the cash value of the most recent purchase is representative of the average purchase amount. Using panel data, we test the representativeness of the most recent, modal and median purchase compared to the average purchase amount.

METHODS

Data were drawn from a prior study that collected daily transaction-level purchase data from a sample of 120 people who were using heroin regularly. The same study participants completed two distinct two-week waves of data collection, separated by six months. T-tests and bootstrapping were used to detect differences within each wave between the average cash value of participant heroin purchases and the cash value of their most recent, modal and median heroin purchases.

RESULTS

In both waves, we found (a) no evidence that the expected value of the most recent purchase differs from the expected value of the average purchase, and (b) the expected values of the modal and median purchases are smaller than the expected value of the average purchase. These results imply that estimates of total market size based on the modal or median purchase will suffer from a significant downward bias, but that estimates based on the most recent purchase will be unbiased.

CONCLUSIONS

We provide evidence in support of using the most recent (but not the modal or the median) purchase to estimate market size for heroin.

The leading neighborhood-level predictors of drug overdose: A mixed machine learning and spatial approach

BACKGROUND

Drug overdose is a leading cause of unintentional death in the United States and has contributed significantly to a decline in life expectancy during recent years. To combat this health issue, this study aims to identify the leading neighborhood-level predictors of drug overdose and develop a model to predict areas at the highest risk of drug overdose using geographic information systems and machine learning (ML) techniques.

METHOD

Neighborhood-level (block group) predictors were grouped into three domains: socio-demographic factors, drug use variables, and protective resources. We explored different ML algorithms, accounting for spatial dependency, to identify leading predictors in each domain. Using geographically weighted regression and the best-performing ML algorithm, we combined the output prediction of three domains to produce a final ensemble model. The model performance was validated using classification evaluation metrics, spatial cross-validation, and spatial autocorrelation testing.

RESULTS

The variables contributing most to the predictive model included the proportion of households with food stamps, households with an annual income below $35,000, opioid prescription rate, smoking accessories expenditures, and accessibility to opioid treatment programs and hospitals. Compared to the error estimated from normal cross-validation, the generalized error of the model did not increase considerably in spatial cross-validation. The ensemble model using ML outperformed the GWR method.

CONCLUSION

This study identified strong neighborhood-level predictors that place a community at risk of experiencing drug overdoses, as well as protective factors. Our findings may shed light on several specific avenues for targeted intervention in neighborhoods at risk for high drug overdose burdens.

Income generation and the patterning of substance use: A gender-based analysis

BACKGROUND

Previous research has demonstrated how income-generating activities among marginalized people who use drugs (PWUD)-including employment, income assistance, street-based activities, sex work, and illegal activities-can provide both benefit (e.g., additional income) and harm (e.g., violence, criminalization). However, little is known about gender differences in factors such as drug use patterns that are associated with income-generating activities among PWUD.

METHODS

Using data from prospective cohorts of HIV-positive and HIV-negative PWUD in Vancouver, Canada, we conducted exploratory gender-stratified analyses of associations between substance use patterns and income-generating activities, using generalized linear mixed-models.

RESULTS

Participants reported income sources as employment (23.4 %), income assistance (88.1 %), street-based activities (24.9 %), sex work (15.2 %), drug dealing (31.5 %), or other illegal activities (13.9 %). GLMM results showed gendered patterns of engagement in specific income-generating activities and some diverging patterns of substance use. For instance, men receiving income assistance were less likely to use opioids (Adjusted odds ratio(AOR) = 0.64; 95 % confidence interval(CI) = 0.50-0.82) and women engaged in sex work were more likely to use crack-cocaine (AOR = 2.74, 95 % CI = 2.22-3.37). However, results reflected primarily converging patterns of substance use between women and men across income-generating activities, particularly for drug dealing and other illegal activities.

CONCLUSIONS

Our results suggest that substance use patterns may be more closely associated with income generation context than gender. Given potential harms associated with some income generation activities, results highlight the need for further investigation of the social and structural context of income generation, its intersections with gender and substance use, and the expansion of low-threshold work opportunities.

Harm Reduction Services in Ottawa: The Culture of Drug Use

Between January 2016 and June 2019, there were over 13,900 apparent opioid-related deaths in Canada, solidifying the need for appropriate and effective services for people who use drugs (PWUD). Within government initiatives and policies, PWUD are often inappropriately considered a homogeneous group of individuals, with implementation of services nationally often being guided by these governmental bodies without meaningful consultation and collaboration with PWUD. However, recent harm reduction research and best practice guidelines have emphasized the importance of tailoring services to local drug scenes. Despite this, very little research on the cultural norms of PWUD exists in the literature. In an attempt to explore the local culture of drug use in Ottawa, a literature review ultimately uncovered very few articles on this topic. However, by expanding the search beyond Ottawa and using a social determinants of health framework, the factors of culture, income and social status, physical environment, and access to services were revealed as unique experiences for PWUD. Further, through four in-depth interviews with current harm reduction providers in Ottawa, the themes of (1) uncertainty and concerns surrounding the overdose crisis; (2) lack of flexibility in resources and access issues; and (3) diversity in the culture of drug use in Ottawa were explored. Recommendations surrounding partnering with PWUD, policy changes, and a safer supply were subsequently discussed. These findings helped to validate the reality of the unique drug-use culture in Ottawa, and the requirement for harm reduction services to be adapted to the local needs of PWUD.

Characterizing opioid agonist treatment discontinuation trends in British Columbia, Canada, 2012-2018

BACKGROUND

Given the elevated risk of mortality immediately following opioid agonist treatment (OAT) discontinuation, determining the frequency and timing of OAT discontinuation can help guide the planning of services to facilitate uninterrupted OAT. We sought to describe weekly and monthly trends in OAT episode discontinuations in British Columbia to determine the potential resource needs for implementing support services.

METHODS

This population-based retrospective study utilized a provincial-level linkage of health administrative databases to identify all people with opioid use disorder (PWOUD) who received OAT between 01/2012-08/2018. We defined OAT episodes as continuous medication dispensations without interruptions in prescribed doses lasting ≥5 days for methadone and ≥6 days for buprenorphine/naloxone. We derived the percentage of PWOUD discontinuing OAT every month and we considered weekly discontinuations between 09/2017-08/2018, accounting for weeks during which monthly income assistance payments from social service programs occurred.

RESULTS

Our study included 37,207 PWOUD discontinuing 158,027 OAT episodes. Discontinuations were relatively stable month-to-month, increasing from 10.6 % to 14.9 % (2012-2018). The monthly percentage of discontinuations was 21.2 % for buprenorphine/naloxone and 10.0 % for methadone. Weekly discontinuations were greater in income disbursement weeks (816; IQR: 752, 901) compared to other weeks (655; IQR: 615, 683; p < 0.01).

CONCLUSIONS

We identified a high, and stable rate of monthly OAT discontinuations and a consistently higher rate of discontinuing treatment among PWOUD accessing buprenorphine/naloxone. There is an urgent need to develop the evidence base for interventions to support OAT engagement and to improve clinical management of OUD to address the opioid-related overdose crisis.

Drug-related harm coinciding with income assistance payments: results from a community-based cohort of people who use drugs

BACKGROUND AND AIMS

Income assistance is critical to the health and wellbeing of socio-economically marginalized people who use illicit drugs (PWUD). However, past literature paradoxically identifies unintended increases in drug-related harm coinciding with synchronized payments that may magnify signals for drug use. The scope of such harm has not been fully characterized among non-institutionalized populations. This study examined socio-demographic, health and drug use-related correlates of payment-coincident drug-related harm.

DESIGN

This observational study uses data from prospective community-based longitudinal cohorts of PWUD between December 2013 and May 2018.

SETTING

Vancouver, British Columbia, Canada.

PARTICIPANTS

A total of 1604 PWUD receiving monthly income assistance. Our sample included 586 (36.5%) women, 861 (53.7%) non-white participants and 685 (42.7%) people living with HIV.

MEASUREMENTS

The primary outcome was a self-reported composite measure of drug-related harm in the past 6 months coinciding with income assistance, including higher-frequency substance use, non-fatal overdose and service barriers or interruptions. Subanalyses disaggregated this outcome.

FINDINGS

Payment-coincident drug-related harm was reported among 77.7% of participants during the study period. In multivariable models, key correlates positively and significantly associated with payment-coincident harm included: street-based income generation [adjusted odds ratio (aOR) = 1.48, 95% confidence interval (CI) = 1.26-1.74, P < 0.001], sex work (aOR = 1.66, 95% CI = 1.35-2.04, P < 0.001), illegal income generation (aOR = 1.57, 95% CI = 1.35-1.83 P < 0.001), homelessness (aOR = 1.34, 95% CI = 1.13-1.58, P < 0.001), exposure to violence (aOR = 1.31, 95% CI = 1.03-1.66, P = 0.032), daily crack cocaine use (aOR = 1.99, 95% CI = 1.59-2.50, P <  0.001), heavy alcohol use (aOR = 1.64, 95% CI = 1.37-1.97, P < 0.001) and injection drug use (aOR = 2.55, 95% CI = 2.01-3.23, P < 0.001). In subanalyses, specific harms were more likely among individuals reporting social, structural and health vulnerabilities.

CONCLUSIONS

In Vancouver, Canada, people who use illicit drugs who receive income assistance report high prevalence of payment-coincident drug-related harm, particularly people experiencing socioeconomic and structural marginalization or engaging in high-intensity drug use.

Deconstructing the 'cheque effect': short-term changes in injection drug use after receiving income assistance and associated factors

BACKGROUND AND AIMS

Disbursement of income assistance has been temporally associated with intensified drug use and related harms (coined the 'cheque effect'). However, relationships to injection drug use (IDU) remain understudied. We examined short-term 'cheque effects' and associated factors among people who inject drugs (PWID).

DESIGN

Cross-sectional analysis nested within a cohort study.

SETTING

Montreal, Quebec, Canada.

PARTICIPANTS

PWID receiving income assistance, with no employment income. A total of 613 PWID (median age 41, 83% male) contributed 3269 observations from 2011 to 2017.

MEASUREMENTS AND METHODS

At each cohort visit, an interviewer-administered questionnaire captured retrospective reports of injection-related behaviour during the 2-day periods (i) before and (ii) including/after receiving last month's income assistance payment (number of injections; drugs injected; any receptive syringe-sharing). The relative likelihood (odds) and magnitude (rate) of an increase in injection frequency ('cheque effect') were estimated in relation to social and behavioural factors using logistic and negative binomial regression in a covariate-adjusted two-part model.

FINDINGS

Prevalence of IDU and syringe-sharing were, respectively, 1.80 and 2.50 times higher in the days following versus preceding cheque receipt (P < 0.001). Among people with past-month IDU, most observations showed increased injection frequency (52%) or no change in injection frequency (44%). The likelihood of a 'cheque effect' was positively associated with cocaine injection [versus injection of other substances, odds ratio (OR) = 2.639, 95% confidence interval (CI) = 2.04-3.41], unstable housing (OR = 1.272, 95% CI = 1.03-1.57) and receiving opioid agonist therapy (OR =1.597, 95% CI = 1.27-2.00) during the same month. Magnitude of the 'cheque effect' was positively associated with cocaine injection [rate ratio (RR) = 1.795, 95% CI = 1.43-2.16], unstable housing (RR = 1.198, 95% CI = 1.02-1.38) and frequent injection (RR = 2.938, 95% CI = 2.43-3.44), but inversely associated with opioid agonist therapy (RR = 0.817, 95% CI = 0.68-0.95) and prescription opioid injection (RR = 0.794, 95% CI = 0.66-0.93).

CONCLUSION

Among people who inject drugs in Montreal, Canada, injection drug use and receptive syringe-sharing appear to be more prevalent in the 2 days after versus before receiving income assistance. The odds and rate of individual-level increases in injection frequency appear to be positively associated with cocaine injection (versus injection of other substances) and unstable housing.

Socioeconomic marginalization and opioid-related overdose: A systematic review

BACKGROUND

Socioeconomic marginalization (SEM) is an important but under-explored determinant of opioid overdose with important implications for health equity and associated public policy initiatives. This systematic review synthesizes evidence on the role of SEM in both fatal and non-fatal overdose among people who use opioids.

METHODS

Studies published between January 1, 2000 and March 31, 2018 were identified through searching electronic databases, citations, and by contacting experts. The titles, abstracts, citation information, and descriptor terms of citations were screened by two team members. Data were synthesized using the lumping technique.

RESULTS

A total of 37 studies met inclusion criteria and were included in the review, with 34 of 37 finding a significant association between at least one socioeconomic factor and overdose. The included studies contained variables related to eight socioeconomic factors: criminal justice system involvement, income, employment, social support, health insurance, housing/homelessness, education, and composite measures of socio-economic status. Most studies found associations in the hypothesized direction, whereby increased SEM was associated with a higher rate or increased likelihood of the overdose outcome measured. The review revealed an underdeveloped evidence base.

CONCLUSIONS

Nearly all reviewed studies found a connection between a socioeconomic variable and overdose, but more research is needed with an explicit focus on SEM, using robust and nuanced measures that capture multiple dimensions of disadvantage, and collect data over time to better inform decision making around opioid overdose.

Examining non-attendance of doctor's appointments at a community clinic in Saskatoon

OBJECTIVE

To quantify the degree of non-attendance of medical appointments, as well as to identify the social reasons behind the missed appointments, at an inner-city primary care clinic.

DESIGN

Retrospective chart review and survey.

SETTING

Inner-city clinic in Saskatoon, Sask, serving a primarily low-income and First Nations population.

PARTICIPANTS

Patients with appointments in the clinic between January 2016 and June 2016.

MAIN OUTCOME MEASURES

Number of non-attended clinic appointments and the reasons for missed appointments.

RESULTS

Of the 1976 booked appointments during the study period, 487 (24.6%) appointments were not attended. Among the patients with walk-in appointments, 123 (15.5%) of them left the clinic before seeing a physician. New patients had a high rate of non-attendance (44.4% did not show up to appointments). Among those who did not attend an appointment, 19.9% of them missed more than 1 appointment; 77.8% of missed appointments were made more than a week in advance of the appointment, and 51.7% of those who missed an appointment saw a physician at the clinic at a later date (18.5 days later on average). The most common reasons for non-attendance were forgetting the appointment or feeling too sick to attend. Social determinants such as transportation were also found to play a role in non-attendance. Most survey participants stated that a telephone call reminder would aid them in keeping their appointments.

CONCLUSION

Non-attendance is a multifactorial issue that causes a considerable waste of resources, limits the provision of preventive care, and negatively affects patient health. As forgetting was found to be a frequent cause of missed appointments, introducing a telephone reminder system might be an affordable and effective first measure to address non-attendance. Factors associated with poverty and other social determinants of health also affect attendance and are more challenging to address.

Increased overdose mortality during the first week of the month: Revisiting the "check effect" through a spatial lens

BACKGROUND

The timing of social service benefit issuance is thought to be associated with increased drug overdose fatalities. However, the extent to which this excess mortality is concentrated in communities with higher levels of benefit receipt has not been studied. We sought to examine if benefit receipt at the neighborhood level was associated with spatiotemporal patterns of overdose fatalities.

METHODS

We conducted a retrospective review of all accidental overdose deaths recorded in Rhode Island from 2014 to 2016 (n = 838). Overdose incident locations were geocoded to the census block group level. Clusters of census block groups with excess overdose mortality at the beginning of a month were identified using spatial scan methods. Logistic regression models were fit to identify characteristics associated with the inclusion of a census block group within a cluster.

RESULTS

Increased rates of overdose fatalities at the beginning of a month were observed relative to the end of a preceding month (Ratio: 1.17; 95% CI: 1.04, 1.38). The proportions of residents receiving cash public assistance or Supplemental Security Income were not associated with excess mortality at the beginning of a month; however, the proportion of residents living in unaffordable housing was (OR: 1.42; 95% CI: 1.05, 1.91).

CONCLUSION

Despite previous research on benefit check issuance and overdose, welfare receipt was not associated with excess overdose mortality at the beginning of a month at the neighborhood level. Future research on housing cost burden and its influence on overdose death risk at the individual level is needed.

Transitions in income generation among marginalized people who use drugs: A qualitative study on recycling and vulnerability to violence

BACKGROUND

Income is an important determinant of health among people who use drugs (PWUD). However, understanding transitions between differing types of income generation within the formal and informal economy and how they can be shaped by vulnerability to risk and harm remain poorly understood. This study examines how transitions in income-generating activities are shaped by and influence exposure to violence among marginalised PWUD, in Vancouver, Canada's, Downtown Eastside (DTES) neighbourhood.

METHODS

Qualitative interviews were conducted with twenty-six individuals engaged in informal and illegal income-generating activities in the DTES. Interview transcripts were analyzed thematically, focusing on relationships between income generation and violence during the study period between January 2014 to April 2015 and drew upon concepts of social violence when interpreting these themes.

RESULTS

Participants' engagement in informal and illegal income-generating activities represented a means to negotiate survival given multiple barriers to formal employment and inadequate economic supports. Our findings highlight how informal and illegal income-generating activities in the DTES are characterized by structural, symbolic and everyday violence, while transitions from 'high risk' (e.g., sex work, drug dealing) to perceived 'low risk' (e.g., recycling) activities represent attempts to reduce exposure to violence. However, participants emphasized how informal income generation was nonetheless shaped by structural violence (e.g., gendered hierarchies and police harassment), experienced as everyday violence, and introduced exposure to alternate risks.

CONCLUSION

Our findings underscore the critical role of income generation in shaping exposure to violence, highlighting the need for low-threshold employment interventions targeting PWUD as a central component of harm reduction strategies.

The perspectives of structurally vulnerable people who use drugs on volunteer stipends and work experiences provided through a drug user organization: Opportunities and limitations

BACKGROUND

While drug user organizations (DUO) have received public health attention as a means to potentially reduce the harms associated with drug use, there is a lack of research on the compensation and structural forces that promote or inhibit participation in DUO. Against the backdrop of structural vulnerability experienced by people who use drugs (PWUD), we examined the impact of monetary 'volunteer stipends' provided through a DUO and explore their role in providing low-threshold employment opportunities and shaping participation in DUO.

METHODS

Participants were purposively sampled to reflect a range of perspectives and experiences volunteering at Vancouver Area Network of Drug Users (VANDU) and receiving stipends. Semi-structured qualitative interviews were conducted with 23 members of VANDU. Interview transcripts were coded in Atlas.ti 7 for key a priori themes and emergent categories from the data and analyzed thematically.

RESULTS

Stipends provided participants with symbolic and material recognition of the time, effort, and expertise they contribute to the organization, and functioned to facilitate ongoing participation. Payments that rewarded, skills, labour and drug-related knowledge reduced participant's perception of stigma against PWUD. Paid work in VANDU further provided participants with non-material benefits commonly attributed to regular employment, including social connections and a sense of purpose. Participants also identified the low level of pay as a limitation of VANDU's paid participation program. The daily demands of survival (accessing shelter, food, and drugs) posed more complex structural vulnerabilities to participate in VANDU, as small stipends were not sufficient to address these needs.

CONCLUSION

Low threshold employment opportunities within DUO may provide significant individual and public health benefits. However, these benefits are constrained by the small size of stipends. Therefore, to ensure better inclusion of PWUD, our findings recommend the development and expansion of equitable, accessible, well-paying employment programs for PWUD.

Protocol of the impact of alternative social assistance disbursement on drug-related harm (TASA) study: a randomized controlled trial to evaluate changes to payment timing and frequency among people who use illicit drugs

Background

Government social assistance payments seek to alleviate poverty and address survival needs, but their monthly disbursement may cue increases in illicit drug use. This cue may be magnified when assistance is disbursed simultaneously across the population. Synchronized payments have been linked to escalations in drug use and unintended but severe drug-related harms, including overdose, as well as spikes in demand for health, social, financial and police services.

Methods/design

The TASA study examines whether changing payment timing and frequency can mitigate drug-related harm associated with synchronized social assistance disbursement. The study is a parallel arm multi-group randomized controlled trial in which 273 participants are randomly allocated for six assistance cycles to a control or one of two intervention arms on a 1:1:1 basis. Intervention arm participants receive their payments: (1) monthly; or (2) semi-monthly, in each case on days that are not during the week when cheques are normally issued. The study partners with a community-based credit union that has developed a system to vary social assistance payment timing. The primary outcome is a 40 % increase in drug use during the 3 days beginning with cheque issue day compared to other days of the month. Bi-weekly follow-up interviews collect participant information on this and secondary outcomes of interest, including drug-related harm (e.g. non-fatal overdose), exposure to violence and health service utilization. Self-reported data will be supplemented with participant information from health, financial, police and government administrative databases. A longitudinal, nested, qualitative parallel process evaluation explores participant experiences, and a cost-effectiveness evaluation of different disbursement scenarios will be undertaken. Outcomes will be compared between control and intervention arms to identify the impacts of alternative disbursement schedules on drug-related harm resulting from synchronized income assistance.

Discussion

This structural RCT benefits from strong community partnerships, highly detailed outcome measurement, robust methods of randomization and data triangulation with third party administrative databases. The study will provide evidence regarding the potential importance of social assistance program design as a lever to support population health outcomes and service provision for populations with a high prevalence of substance use.

Trial registration

NCT02457949 Registered 13 May 2015.