Project Website
What is in RAMP?
The overdose crisis has reached new milestones, claiming more lives than ever before. In response to this public health emergency, the UBC Addictions and Concurrent Disorders Research Group developed the Risk Assessment and Management Platform, also known as RAMP.
In response to the overdose crisis, we are reaching individuals at high risk of overdose and their social and care networks through a virtual environment.
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This environment will be named the Risk Assessment and Management Platform (RAMP). In this environment, we will build around an Artificial Intelligence/Machine learning overdose risk assessment model through the interaction and integration of existing resources, creating a plethora of different mental health-related pillars to provide ongoing support for the vulnerable population and their social and care network.
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RAMP is an e-mental health platform that integrates a plethora of different mental health-related resources to provide ongoing support for vulnerable populations.
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RAMP is designed to be accessible, engaging, and accommodating of each user’s unique circumstances. Through the integration of self-directed assessment and screening tools, users are empowered to become directly involved reducing their risk of overdose. RAMP is free, easy to use, and can help individuals achieve their long-term health goals.
What is the Spiral Model?
The project is being developed under the Spiral Model, a combination of the Waterfall Model and Iterative Model. Each phase in the Spiral Model begins with a design goal and ends with the client reviewing the progress.
Landing Page
Navigation, engagement, and landing
This is the first point of contact with users. Efficient and informative navigation increases engagement, allows users to easily understand the goal of the tool, and use it to its full potential.
Screening and Assessment
Screening, Assessment, Goal Setting, Treatment Engagement, and Monitoring Risk
The High Risk Assessment (HRA) is a 29-question instrument to measure an individual’s risk of overdose. This assessment was created through a Delphi that involved consultations with experts and pulling questions from other related assessments. The HRA has been tested in groups of people who use drugs (PWUD) in Vancouver, and the results of this study are currently in publication. The HRA is the backbone of RAMP and provides personalized module and goal suggestions based on each user's lifestyle. The Patient Health Questionnaire (PHQ-9) and General Anxiety Disorder-7 (GAD-7) are two assessments currently available on RAMP. These short assessments provide users and healthcare workers with an idea of their overall health symptoms
Modules
Modules are short, interactive sections that cover a variety of educational and therapeutic topics. Modules use simple language to educate on important topics like Naloxone use, opioid withdrawal and risk management
Goals
The goal setting tool helps individuals set and manage their health-related goals. Users can record their daily and weekly tasks and track their progress over time.
Symptom Diary
A place for individuals to track their physical and mental health symptoms over time in categories like Anxiety, Depression and Pain.
Journal
The journal is a private space for users to write their thoughts and reflect on their recovery progress. There are multiple journal formats to use depending on the type of reflection the user wishes to do.
Lifechart
A place to visualize your results on assessments, symptom diary scores and goal progress.
Achievements
Individuals can collect badges for different achievements as they use the platform. Badges are awarded to keep users engaged and motivated.
Feedback
Stakeholders and users can leave feedback for RAMP developers
Resources
Use the mental health resource map to locate various in person and virtual support services near you. This is currently limited to the Vancouver area, but we hope to expand this map with the help of partners.
Art with a Meaning
This section allows users to connect with art pieces and leave public reflections on each piece. They can browse through different categories of art in hopes of finding common themes between the pieces and their own lives
Common Backend
Word Press, Ruby on Rails, Stacks, and Python AI Machine Learning Algorithm
The backend helps with data monitoring, usage of the online tool, and has a tuning machine learning algorithm linked to data from the screening and assessment. This allows the tool to optimize and calibrate its risk scoring system.