Architecture and Development Framework for a Web-Based Risk Assessment and Management Platform Developed on WordPress to Address Opioid Overdose.

The number of overdose-related fatalities continues to reach historic levels across Canada, despite ongoing efforts by authorities. To reduce mortality, a clinical trajectory ranging from preventative measures to crisis intervention, skill training to treatment, and risk assessment to risk management needs to be supported. The web-based Risk Assessment and Management Platform (RAMP) was developed to realize this concept and to empower people who use drugs through an integrated tool that allows them to better understand and manage their risk of overdose. This paper outlines the architecture and development of RAMP, which is built on the WordPress platform. WordPress components are mapped onto a 3-tier architecture that consists of presentation, application, and database layers. The architecture facilitates the development of a modular software that includes several features that are independent in functionality but interact with each other in an integrated platform. The relatively low coupling and high coherence of the features may reduce the cost of maintenance and increase flexibility of future developments. RAMP's architecture comprises a user interface, conceptual framework, and backend layers. The RAMP front end effectively uses some of the WordPress' features such as HTML5, CSS, and JavaScript to create a mobile, friendly, and scalable user interface. The RAMP backend uses several standard and custom WordPress plug-ins to support risk assessment and monitoring, with the goal of mitigating the impacts and eliminating risks together. A rule-based decision support system has been hard-coded to suggest relevant modules and goals to complement each user's lifestyle and goals based on their risk assessment. Finally, the backend uses the MySQL database management system and communicates with the RAMP framework layer via the data access layer to facilitate a timely and secure handling of information. Overall, RAMP is a modular system developed to identify and manage the risk of opioid overdose in the population of people who use drugs. Its modular design uses the WordPress architecture to efficiently communicate between layers and provide a base for external plug-ins. There is potential for the current system to adopt and address other related fields such as suicide, anxiety, and trauma. Broader implementation will support this concept and lead to the next level of functionality.

Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression.

Background: Substance use disorders affect 36 million people globally, but only a small proportion of them receive the necessary treatment. E-health interventions have been developed to address this issue by improving access to substance use treatment. However, concerns about participant engagement and adherence to these interventions remain. This review aimed to evaluate adherence to e-health interventions targeting substance use and identify hypothesized predictors of adherence. Methods: A systematic review of literature published between 2009 and 2020 was conducted, and data on adherence measures and hypothesized predictors were extracted. Meta-analysis and meta-regression were used to analyze the data. The two adherence measures were (a) the mean proportion of modules completed across the intervention groups and (b) the proportion of participants that completed all modules. Four meta-regression models assessed each covariate including guidance, blended treatment, intervention duration and recruitment strategy. Results: The overall pooled adherence rate was 0.60 (95%-CI: 0.52-0.67) for the mean proportion of modules completed across 30 intervention arms and 0.47 (95%-CI: 0.35-0.59) for the proportion of participants that completed all modules across 9 intervention arms. Guidance, blended treatment, and recruitment were significant predictors of adherence, while treatment duration was not. Conclusion: The study suggests that more research is needed to identify predictors of adherence, in order to determine specific aspects that contribute to better exposure to intervention content. Reporting adherence and predictors in future studies can lead to improved meta-analyses and the development of more engaging interventions. Identifying predictors can aid in designing effective interventions for substance use disorders, with important implications for e-health interventions targeting substance use.

Understanding eHealth Cognitive Behavioral Therapy Targeting Substance Use: Realist Review.

BACKGROUND: There is a growing body of evidence regarding eHealth interventions that target substance use disorders. Development and funding decisions in this area have been challenging, due to a lack of understanding of what parts of an intervention work in which context. OBJECTIVE: We conducted a realist review of the literature on electronic cognitive behavioral therapy (eCBT) programs for substance use with the goal of answering the following realist question: "How do different eCBT interventions for substance use interact with different contexts to produce certain outcomes?" METHODS: A literature search of published and gray literature on eHealth programs targeting substance use was conducted. After data extraction, in order to conduct a feasible realist review in a timely manner, the scope had to be refined further and, ultimately, only included literature focusing on eCBT programs targeting substance use. We synthesized the available evidence from the literature into Context-Mechanism-Outcome configurations (CMOcs) in order to better understand when and how programs work. RESULTS: A total of 54 papers reporting on 24 programs were reviewed. Our final results identified eight CMOcs from five unique programs that met criteria for relevance and rigor. CONCLUSIONS: Five strategies that may be applied to future eCBT programs for substance use are discussed; these strategies may contribute to a better understanding of mechanisms and, ultimately, may help design more effective solutions in the future. Future research on eCBT programs should try to understand the mechanisms of program strategies and how they lead to outcomes in different contexts.

[Debts, loans and unpaid bills among day patients and inpatients in psychiatric care in Berlin, Germany]. / Schulden, Kredite und unbezahlte Rechnungen unter Nutzer*Innen teilstationärer und stationärer psychiatrischer Behandlung in Berlin.

BACKGROUND: Previous studies among the general population indicated an association between mental illnesses and different forms of financial difficulties, such as indebtedness. OBJECTIVE: Investigation of the financial burden and associated factors among inpatients and day clinic patients in psychiatric care. MATERIAL AND METHODS: A total of 488 patients in psychiatric care in the catchment area of the Psychiatric University Hospital Charité at St. Hedwig Hospital participated in a cross-sectional patient survey carried out with a structured interview regarding financial burden, sociodemographic and clinical variables. RESULTS: Of the participants 269 (55.1%) showed outstanding debts, loans or unpaid bills. Among the participants who were willing to give information about the amount of debts, the majority (47.0%) had debts between 1000 € and 9999 € and 36.3% between 10,000 € and 99,999 €. In the binary regression models, younger age and substance use disorders were factors significantly associated with outstanding debts. Of the participants 22.3% had outstanding debts >10,000 € and were depending on social welfare, so that indebtedness could be assumed. CONCLUSION: Financial burdens and outstanding debts among patients in psychiatric care should be inquired about and considered more intensively in practice. Suitable models of support need to be developed and evaluated.

The impact of employment on recovery among individuals who are homeless with severe mental illness in the Vancouver At Home/Chez Soi trial.

OBJECTIVE: To assess impact of employment on recovery in a sample of adults from Vancouver At Home (VAH) study, who were homeless and were diagnosed with severe mental disorders. METHODS: The VAH included two randomized controlled trials investigating the effect of housing first with support intervention in vulnerable population. Employment was assessed at baseline and during the follow-up using Demographics, Housing, Vocational, and Service Use History (DSHH), and Vocational Timeline Follow-Back (VTLFB) self-report questionnaires, respectively. Recovery was examined using Recovery Assessment Scale (RAS) at baseline and at 24-month follow-up visit. Multivariable regression models were built to examine: (1) the effect of current employment at baseline on RAS score at baseline, and RAS score at 24-month follow-up visit; and (2) and to examine the cumulative effect of recent employment over 8 follow-up visits on RAS score at 24-month visit. Cumulative effect of employment over the follow-up visits was weighted by recency using a pre-specified weighting function. RESULTS: Employment at baseline was associated with an increase in recovery score at baseline [8.06 (95% CI 1.21, 14.91); p = 0.02], but not with recovery score at 24-month follow-up visit [3.78 (-4.67, 12.24); p = 0.37]. Weighted cumulative effect of employment over 8 follow-up visits was associated with increase in RAS score at 24-month follow-up visit [8.33 (1.68, 14.99) p = 0.01]. CONCLUSION: Employment is associated with an increase in recovery. Our result suggests a dual effect of employment on recovery, an immediate effect through current employment, and a long-term effect of cumulative employment.

Advancing E-Mental Health in Canada: Report From a Multistakeholder Meeting.

The need for e-mental health (electronic mental health) services in Canada is significant. The current mental health care delivery models primarily require people to access services in person with a health professional. Given the large number of people requiring mental health care in Canada, this model of care delivery is not sufficient in its current form. E-mental health technologies may offer an important solution to the problem. This topic was discussed in greater depth at the 9th Annual Canadian E-Mental Health Conference held in Toronto, Canada. Themes that emerged from the discussions at the conference include (1) the importance of trust, transparency, human centeredness, and compassion in the development and delivery of digital mental health technologies; (2) an emphasis on equity, diversity, inclusion, and access when implementing e-mental health services; (3) the need to ensure that the mental health workforce is able to engage in a digital way of working; and (4) co-production of e-mental health services among a diverse stakeholder group becoming the standard way of working.

Childhood Trauma and Lifetime Traumatic Brain Injury Among Individuals Who Are Homeless.

OBJECTIVES: To study the association of childhood trauma and lifetime prevalence of traumatic brain injury (TBI) among individuals who are homeless. DESIGN: Cross-sectional survey. SETTING: Three cities in British Columbia, Canada. PARTICIPANTS: Five hundred individuals who are homeless and 19 years of age or older in 2009. MEASUREMENTS: Traumatic brain injury was identified with National Survey of Homeless Assistance Providers and Clients (NSHAPC) and childhood trauma using the Childhood Trauma Questionnaire-Short Form (CTQ-SF). The relationship between childhood trauma and TBI was explored using multivariable logistic regression approach, adjusting for age, gender, any psychiatric diagnosis (anxiety disorder, mood disorder, psychosis), alcohol dependence, and substance dependence. The effect of number of childhood trauma types on TBI was also explored using multiple variables logistic regression approach adjusting for the same covariates. RESULTS: The prevalence of TBI was 63.6% and childhood maltreatment was 87.7% among the sample population. During childhood of 487 participants included in the analysis, 57.7% experienced physical abuse, 62.8% physical neglect, 45.8% sexual abuse, 62.4% emotional abuse, and 55.2% emotional neglect. After adjustment, childhood trauma (adjusted odds ratio [aOR] = 2.26; 95% confidence interval [CI], 1.04-5.02), childhood physical abuse (aOR = 2.13; 95% CI, 1.19-3.87; n = 487), and childhood emotional abuse (aOR = 1.95; 95% CI, 1.09-3.51; n = 487) were significantly associated with history of TBI. After adjustment, having 4 different types of childhood trauma (aOR = 2.81; 95% CI, 1.11-7.31) was significantly associated with higher odds of reporting TBI history. CONCLUSIONS: Childhood trauma is significantly associated with lifetime prevalence of TBI in homeless populations in British Columbia, Canada, indicating an added level of vulnerability in this population. In addition, these findings suggest a potential role for childhood trauma prevention strategies and services mindful of the patients' history of trauma for this particularly vulnerable population.