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Prescription Opioid Safety Toolkit

An interactive online safety toolkit empowering the users to have safer and effective use of prescription opioids

Background

Australia has one of the highest rates of opioid dependence and overdose in the world, with most of this harm due to prescription opioids. This project aims to provide the essential tools for consumers to be empowered to have safer and more effective use of prescription opioids.
 

The project leveraged past research into the safer use of prescription opioids to develop an Opioid Safety Toolkit. The Toolkit was co-designed with consumers and medicines experts through an iterative co-design process. Subsequently, the co-designed Toolkit was made widely accessible through a national dissemination strategy, which included a consumer communications strategy and dissemination via Australian community pharmacies.

Project year :

Project Partners : 

Team members :

2024

A collaboration between Monash University, the Burnet Institute, the Pharmaceutical Society of Australia and Painaustralia

Dr Alex Waddell, Dr Jessica Watterson, Dhruv Basur, Chris Prawira

Project funders :

Department of Health and Aged Care

User research, branding, prototyping, user testing

My role

Research objectives

Our primary research focus was to understand how the general public gets impacted by the presence of robots in an everyday public setting. To strengthen our research, we focussed on the general population (users) and ET Labs researchers by defining research objectives for each group individually.

Public Focused

  • Understanding the definition and perception of Robot according to the user
     

  • Understanding the user’s feelings/ thoughts/ opinions towards robot in public domain

  • Understanding the intrinsic and extrinsic motivational factors behind the user’s interaction with the robot

  • Understanding the user’s feelings and thoughts towards exsisting and emerging digital technology

  • Understanding the user’s motivations to share data on a digital platform

Researcher Focused

The study will help our team determine a method for collecting data regarding public robots, which will then be visualised and categorised in a clear and dynamic way for the researchers at ET Research Lab.

  • Understanding the definition of robot according to researchers
     

  • Understanding how researchers collect, understand and analyse data
     

  • Understanding the researchers’ system requirements

Conducting semi-qualitative interviews

Nine participants were recruited for semi-structured qualitative interviews to comprehend and evaluate the public's perception of the presence of robots in various shared settings. The participants are tech enthusiasts, university students, part-time restaurant workers, and business owners.

Key themes identified

The affinity map was further coded into the following themes according to the transcribed coding. This was then used to form a persona for our design solution. Key themes - Awareness, Location, Social connectedness, Feelings, Technology, Ownership, Definition 

How might we

The key findings and revelations from the semi-structured qualitative interview and thematic coding study were analyzed, and several patterns have emerged from the aforementioned manner of enquiries. These patterns allow for the identification of a variety of opportunities for developing concepts pertaining to collecting data about robots in public from users.

  • Very few participants could see a need for robots in the public space in their daily lives

  • The majority of participants questioned the significance of being able to track robots

  • Participants with technical backgrounds shown strong interest in robotics and shared similar viewpoints

  • For the most part, participants have interacted with robots in public before

Developing persona

Following persona was developed:

Proposed design direction

Based on our semi-qualitative interviews and thematic coding of the affinity map, a web based application for collecting data (user focused) and a dashboard for visualising the data collected (researcher focused) was defined.

Web based mobile application

Key focus while collecting data from user was to offer an engaging experience using interactive UI while collected as much data as possible based on clients' requirements. Try the prototype by clicking here

Web based dashboard

Key focus while developing dashboard for the researchers was to offer an intuitive dashboard with 100% control over data while ensuring  research data confidentiality.

Developing high fidelity screens

Based on identified user flow and taking inspiration from the moodpboard, high fidelity screens were developed

Final thoughts

This project allowed us to better understand how to motivate a user to share as much data as possible by implementing different principles of UI while also focusing on UX principles such as Jacob's law. Furthermore, how to better visualise data using a dashboard was also better understood through this project.

Awarded with  "INTERACTION DESIGN HIGH ACHIEVEMENT AWARD"  for this project.

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