None listed
Conditions
Brief summary
UBWELL is a smart-phone app-based continuous, real-time data tracker which can link to current available wearable technology (i.e. Fitbit) and other smart software systems (i.e. HealthKit, Google Fit and Project Synergy) to collect physiological and experiential measures and then monitor, analyse and report these results. Currently, UBWELL can measure physical activity, sleep, mood, anxiety, energy, substance use (alcohol, tobacco), functional engagement (relationships, work, study), healthy eating and weight. This data can be used by an individual to help maintain good health and wellbeing; as well as by health professionals to more effectively plan, implement and monitor treatment to patients, thus providing enhanced, personalised healthcare. The use of this innovative technology has the potential to empower young people to actively engage in their general health and wellbeing (including mental health) by reliably tracking the metrics that are important to them. Unfortunately, the majority of apps for mental health that are currently available lack scientific evidence about their efficacy, and few (if any) have the capacity for the continuous comprehensive integrated assessment that UBWELL offers. This project aims to evaluate the engagement, efficacy and effectiveness of UBWELL (as compared to Recharge and OzHealth) among the Australian general population to improve general health and wellbeing outcomes.
Interventions
UBWELL is a smart-phone application (i.e. app) that delivers a series of health related questions (mood, anxiety, energy, sleep, alcohol use, functional engagement, social interaction, technology use) at multiple time points throughout the day (up to 4). The information collected throughout the day (and over time) are presented back to the users on dynamic graphs that provide users with the opportunity to see how these analytics relate to each other and vary over time. The overall duration of th
UBWELL is a smart-phone application (i.e. app) that delivers a series of health related questions (mood, anxiety, energy, sleep, alcohol use, functional engagement, social interaction, technology use) at multiple time points throughout the day (up to 4). The information collected throughout the day (and over time) are presented back to the users on dynamic graphs that provide users with the opportunity to see how these analytics relate to each other and vary over time. The overall duration of the intervention is 6 weeks, and adherence to the intervention will be assessed at the end of 6 week trial using a self report questionnaire.
Sponsors
Professor Ian Hickie
Study design
Allocation
Randomised controlled trial
Intervention model
Parallel
Primary purpose
Educational / counselling / training
Masking
Blinded (masking used) (Subject)
Eligibility
Sex/Gender
All
Age
16 Years to 30 Years
Healthy volunteers
Yes
Inclusion criteria
1. Aged 16 to 30 years 2. Not currently receiving care from a psychiatrist or a psychologist 3. Has regular access (daily) to the Internet via an iPhone (iOS 8 or later)
Exclusion criteria
Residing outside of Australia
Outcome results
None listed