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Trial Review
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Trial registered on ANZCTR
Registration number
ACTRN12625000412437p
Ethics application status
Submitted, not yet approved
Date submitted
16/04/2025
Date registered
6/05/2025
Date last updated
6/05/2025
Date data sharing statement initially provided
6/05/2025
Type of registration
Prospectively registered
Titles & IDs
Public title
LiveBetterSA: Comparing AI-Enhanced Lifestyle Coaching Using a Generative Large Language Model vs. Traditional Telephone Coaching for Adults
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Scientific title
LiveBetterSA: A Non-Inferiority Type 2 Hybrid Implementation-Effectiveness Randomised Controlled Trial Comparing AI-Enhanced Lifestyle Coaching Using a Generative Large Language Model vs. Traditional Telephone Coaching for Adults
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Secondary ID [1]
314008
0
GNT2031344
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Universal Trial Number (UTN)
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Trial acronym
LBSA
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Weight loss
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Physical activity
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Dietary habits
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Condition category
Condition code
Public Health
333237
333237
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0
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Health promotion/education
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
Participants in the digital health coaching group will engage with a digital health coach for six months via the LiveBetterSA responsive web application. The digital health coaching system, developed using OpenAI's large language model and customised by the University of South Australia and AndMine Pty Ltd, will provide personalised onboarding, guided goal setting, and feedback. The system will be accessible 24/7, allowing participants to interact with the digital health coach at their convenience. Optional Fitbit integration will enable automated step tracking. Participants will receive digital scales and a measuring tape for self-monitoring and outcome reporting.
Participants are encouraged to engage with the platform daily, including asking for advice, responding to coaching prompts, reviewing goals, and receiving personalised feedback. The goal progress check-in schedule is customisable, selected by participants during onboarding, with options ranging from daily, every other day, twice weekly, weekly, or every two weeks.
Personalisation occurs through participant-entered data collected during onboarding, including demographic information, anthropometric measurements, health history, physical activity patterns, dietary habits, eating behaviours, and personal motivations. This data informs tailored goal recommendations, feedback pathways, and support strategies, dynamically adjusted as participants engage with the platform over time.
The guidance provided by the digital health coach is based on comprehensive training content sourced from evidence-based national and international guidelines, educational materials, and reputable health organisations. Key sources informing the AI's content include the Australian Dietary Guidelines (NHMRC) and Australian Physical Activity Guidelines (Department of Health and Aged Care), World Health Organization (WHO) guidelines, as well as educational resources from Diabetes Australia, the Heart Foundation, Cancer Council, Healthy Bones Australia, Exercise and Sports Science Australia (ESSA) and others. This ensures that the support offered is evidence-based, credible, and aligned with national and international public health recommendations. Content includes practical guidance on healthy eating, physical activity, cardiovascular health, digestive health, osteoporosis prevention, stress management, sleep hygiene, and the mental health benefits of exercise.
The digital health coach provides guidance using structured conversational techniques based on participant data, aligned to health guidelines. For example:
-After assessing vegetable intake, the coach offers tailored encouragement compared to the Australian Dietary Guidelines (e.g., highlighting strengths first, then suggesting simple improvements if vegetable serves are below recommendations).
-Following assessment of physical activity levels, the coach compares current behaviour to national activity guidelines and offers achievable next steps (e.g., suggesting an additional walk if a participant is close to but below 150 minutes per week).
-If a participant shares lower confidence or motivation, the coach adapts by suggesting smaller, habit-based goals rather than outcome-based goals (e.g., starting with 5–10 minutes of activity rather than full sessions).
Goal-setting follows a structured process: Up to three goal areas are suggested based on participant priorities and opportunities for improvement, participant's select their preference or propose their own. Goals are personalised to the participant's lifestyle context, such as their available time, preferred activities, and readiness for change.
Participant engagement is monitored through backend system APIs, with automated reporting of usage metrics. Participants with declining engagement patterns are sent supportive re-engagement emails encouraging continued involvement. Strategies to monitor adherence include:
-Login success events (first and subsequent logins),
-Page view tracking across the app,
-Click tracking for key actions such as goal setup, health check completion, and dashboard/menu interactions,
-Monitoring of review of check-in summaries,
-Recording the frequency of check-ins (based on the participant-selected schedule),
-Average session duration calculated from time spent within the platform.
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Intervention code [1]
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Lifestyle
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Intervention code [2]
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Behaviour
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Comparator / control treatment
Participants in the telephone coaching group will receive eight structured coaching calls over the six-month intervention period. The initial call, lasting approximately 30 minutes, will focus on rapport building, goal setting, and health history review. Seven follow-up calls, each lasting 10–15 minutes, will incorporate behaviour change strategies, problem-solving, and progress monitoring. The calls will follow standardised coaching protocols addressing physical activity, nutrition, and weight management.
Coaching sessions will be delivered by trained staff, which may include graduate nutritionists, PhD candidates in relevant health fields, or third-year nutrition students under supervision. All coaches will complete mandatory training at least one week prior to commencing delivery of the control treatment. Training will be provided by a PhD-qualified senior member of the research team experienced in health coaching and motivational interviewing.
Training will involve a one-hour workshop, covering: Instruction on the standardised telephone coaching protocol and principles and application of motivational interviewing techniques. Coaches will only commence delivering intervention calls once the trainer is satisfied with their competency to deliver the protocol and apply motivational interviewing techniques appropriately.
In addition, coaches will have access to a structured diet and exercise guide developed by the research team, incorporating content from the Australian Dietary Guidelines, NHMRC, Heart Foundation, and Exercise and Sports Science Australia (ESSA), among others to support consistent, evidence-based coaching discussions.
Participants in this group will also receive digital scales and a measuring tape for self-monitoring and outcome reporting, similar to the digital health coaching group.
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Control group
Active
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Outcomes
Primary outcome [1]
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Body weight (kg)
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Assessment method [1]
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Objectively measured using digital scales provided to participants. Participants are instructed to weigh themselves first thing in the morning, after voiding, before eating or drinking, and in minimal clothing. Participants will upload a photo of their scale reading to verify measurements.
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Timepoint [1]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — primary endpoint (completion of intervention period). 12 months post-intervention commencement — follow-up assessment (6 months after completion of intervention).
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Secondary outcome [1]
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Waist circumference (cm)
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Assessment method [1]
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Objectively measured using provided tape measure with standardised self-assessment instructions. Participants will follow a step-by-step guide for proper measurement technique at the narrowest point between the lower rib and the hip.
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Timepoint [1]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up assessment.
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Secondary outcome [2]
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Weekly minutes of moderate-to-vigorous physical activity (MVPA)
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Assessment method [2]
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Active Australia Survey, a validated instrument for assessing population physical activity with established test-retest reliability (0.52-0.55). The survey measures frequency, duration, and intensity of physical activities over the previous week.
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Timepoint [2]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up assessment.
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Secondary outcome [3]
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Dietary intake, including key food groups and total energy intake
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Assessment method [3]
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80-item Dietary Questionnaire for Epidemiological Studies version 3.2 (DQES 3.2), modified to assess dietary intake over the last 1-month. This validated food frequency questionnaire has demonstrated reliability with correlation coefficients ranging from r = 0.24-0.81 for various nutrients when compared to food records.
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Timepoint [3]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up assessment.
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Secondary outcome [4]
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Health related quality of life
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Assessment method [4]
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Assessment of Quality of Life (AQoL-8D), a validated multi-attribute utility instrument with strong validity and reliability (a = 0.96). This assessment covers eight dimensions: independent living, happiness, mental health, coping, relationships, self-worth, pain, and senses.
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Timepoint [4]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up assessment.
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Secondary outcome [5]
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Sleep quality
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Assessment method [5]
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Pittsburgh Sleep Quality Index (PSQI), modified to assess sleep duration and subjective sleep quality. This validated instrument has demonstrated good internal consistency (a = 0.83) and test-retest reliability (0.85) in assessing sleep quality components.
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Timepoint [5]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up assessment.
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Secondary outcome [6]
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Medication use in the last 6 months
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Assessment method [6]
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Pharmaceutical Benefits Scheme (PBS) data accessed through data linkage, providing objective records of prescription medications dispensed to participants.
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Timepoint [6]
445157
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up assessment.
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Secondary outcome [7]
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Body mass index (BMI) (kg/m²)
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Assessment method [7]
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Calculated from objectively measured weight and height using the formula: weight (kg) divided by height squared (m²).
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Timepoint [7]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up assessment.
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Secondary outcome [8]
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Engagement with digital health coaching (implementation outcome)
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Assessment method [8]
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Digital health coach server logs capturing quantitative engagement metrics including: number of check-ins completed, number of interactions with prompts, number of questions asked of the digital health coach, and types of questions asked (categorised by topic).
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Timepoint [8]
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Engagement metrics will be continuously collected throughout the 6-month intervention period and assessed at the end of the intervention period (6 months post-commencement).
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Secondary outcome [9]
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Engagement with telephone coaching (implementation outcome)
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Assessment method [9]
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Objective records of completed, cancelled, and rescheduled coaching sessions, including session duration (based on coach documentation).
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Timepoint [9]
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Engagement metrics will be continuously collected throughout the 6-month intervention period and assessed at the end of the intervention period (6 months post-commencement).
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Secondary outcome [10]
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Program satisfaction
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Assessment method [10]
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Custom self-report feedback survey with Likert-scale and open-ended questions assessing satisfaction with program components, perceived effectiveness, and suggestions for improvement.
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Timepoint [10]
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6 months post-intervention commencement — at the completion of the intervention period.
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Secondary outcome [11]
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System usability (digital health coaching group only)
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Assessment method [11]
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System Usability Scale (SUS), a validated 10-item questionnaire with established benchmarks for evaluating the usability of digital systems. Scores range from 0-100 with higher scores indicating better usability.
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Timepoint [11]
446402
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6 months post-intervention commencement — at the completion of the intervention period.
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Secondary outcome [12]
446403
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Goal success
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Assessment method [12]
446403
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Digital coaching group: Quantitative data from digital health coach server logs tracking goal setting, progress tracking, and achievement rates. Telephone coaching group: Standardised documentation of goal setting and achievement recorded during telephone coaching calls.
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Timepoint [12]
446403
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Data will be continuously collected throughout the 6-month intervention period and assessed at the end of the intervention period (6 months post-commencement).
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Secondary outcome [13]
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Quality adjusted life year (QALY)
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Assessment method [13]
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Derived from AQoL-8D scores using established population utility weights to calculate QALYs for health economic evaluation. QALYs will be calculated after data collection is completed at each assessment timepoint.
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Timepoint [13]
446404
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up assessment.
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Secondary outcome [14]
446405
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Hospital admissions in the last 6 months
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Assessment method [14]
446405
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SA-NT DataLink providing objective healthcare utilisation data for hospital admissions.
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Timepoint [14]
446405
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up.
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Secondary outcome [15]
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Emergency department presentations in the last 6 months
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Assessment method [15]
446406
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SA-NT DataLink providing objective healthcare utilisation data on emergency department presentations.
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Timepoint [15]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up.
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Secondary outcome [16]
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Use of aged care services in the last 6 months
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Assessment method [16]
446409
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Custom self-report questionnaire assessing type, frequency, and duration of aged care services utilised.
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Timepoint [16]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up.
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Secondary outcome [17]
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General practitioner (GP) visits in the last 6 months
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Assessment method [17]
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Medicare Benefits Schedule (MBS) data accessed through data linkage, providing objective records of GP consultations.
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Timepoint [17]
446412
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up.
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Secondary outcome [18]
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Allied health use in the last 6 months
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Assessment method [18]
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Custom self-report survey capturing type and frequency of allied health services utilised.
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Timepoint [18]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up.
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Secondary outcome [19]
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Use of government health services in the last 6 months
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Assessment method [19]
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Medicare Benefits Schedule (MBS) data accessed through data linkage, providing objective records of government-subsidised health services.
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Timepoint [19]
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Baseline (0 months) — prior to commencement of the intervention, at enrolment. 6 months post-intervention commencement — at the completion of the intervention period. 12 months post-intervention commencement — at 6 months following the end of the intervention, for follow-up.
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Secondary outcome [20]
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Qualitative feedback on program experience
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Assessment method [20]
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Semi-structured interviews with a subsample of participants (minimum n = 30) stratified by engagement level. Interviews will be audio and video-recorded, transcribed verbatim, and analysed using thematic analysis to identify key themes related to program acceptability, barriers, facilitators, and suggestions for improvement.
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Timepoint [20]
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6 months post-intervention commencement — at the completion of the intervention period.
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Eligibility
Key inclusion criteria
• BMI equal to or greater than 25 kg/m²
• English speaking
• Internet access
• South Australian resident
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Minimum age
18
Years
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Maximum age
74
Years
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Sex
Both males and females
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Can healthy volunteers participate?
Yes
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Key exclusion criteria
• Pregnancy/lactation
• Clinical conditions requiring diet modification
• Severe heart conditions e.g. unstable angina (heart conditions allowed with medical clearance)
• Eating disorders
• Severe food allergy (anaphylaxis)
• Diabetes requiring medication
• Use of weight loss drugs
• End-stage organ disease
• Epilepsy
• Severe respiratory disease
• Insufficient technology skills (must be able to send and receive text messages on a smart phone, navigate to a webpage, and upload a photo from a mobile device to a webpage)
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Study design
Purpose of the study
Prevention
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Allocation to intervention
Randomised controlled trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
The allocation sequence will be implemented through REDCap's secure randomisation module. This centralised electronic system ensures that the allocation sequence remains concealed until the moment of assignment. Researchers conducting participant enrolment will not have access to the randomisation sequence. Once all baseline assessments are completed, the system will reveal the allocated intervention group to the participant and relevant research personnel.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Randomisation will occur using stratified block randomisation to ensure balance across groups based on age (= or < 50 years). A computer-generated permuted block design with randomly varied block sizes (4 or 6) will be implemented to minimise allocation predictability. The allocation sequence will be generated by the project manager, using a secure randomisation module within REDCap.
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Masking / blinding
Blinded (masking used)
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Who is / are masked / blinded?
The people analysing the results/data
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Intervention assignment
Parallel
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
Safety/efficacy
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Statistical methods / analysis
Sample Size Calculation:
Sample size calculations for the primary outcome, 6-month change in body weight is based on a non-inferiority design with a minimal acceptable difference between groups of -1 kg. With a standard deviation of 3.9kg for weight change, 189 participants per group (378 in total) provide 80% power to ensure the lower limit of a one-sided 95% confidence interval is above the non-inferiority limit. Anticipating dropouts or losses, common in population health trials, this number has been increased by 30%, aiming for 246 participants per group (492 in total)
Statistical Analysis Plan:
-Data will be analysed using repeated measures linear mixed-effects modeling to determine differences between treatment groups over time (group × time interaction) in both primary and secondary outcomes. This approach accounts for within-subject correlations and missing data,
providing a robust framework for longitudinal analysis.
-As recommended for non-inferiority trials, covariates will be added as needed to balance groups based on sociodemographic baseline variables to minimise potential confounding. Analyses will be conducted on an intention-to-treat basis, ensuring all randomised participants are included in the final analysis regardless of adherence to the intervention.
-To confirm non-inferiority of the AI-enhanced treatment, the lower bound of the 95% confidence interval for the difference in weight loss between groups (diffStandardTelephone – diffDigitalHealthCoaching) must not cross the -1kg non-inferiority margin.
-Implementation outcomes will be analysed using descriptive statistics. Engagement in the digital health coaching group will be assessed from digital health coach server logs (e.g., number of check-ins completed, interactions with prompts, number and type of digital health coaching questions).
-Engagement in the telephone group will be determined by the number of coaching sessions completed, cancelled, or rescheduled.
-Economic evaluation will assess cost-effectiveness from a health system perspective, using quality-adjusted life years (QALYs) derived from the AQoL-8D and resource use data from SA-NT DataLink, MBS, PBS, and participant self-report.
-Interview data will be thematically analysed. A minimum of 30 interviews will be conducted, with transcripts coded using an inductive approach to identify key themes related to participant experiences, engagement, and perceived barriers to implementation.
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
1/07/2025
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Actual
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Date of last participant enrolment
Anticipated
30/06/2026
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Actual
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Date of last data collection
Anticipated
30/07/2027
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Actual
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Sample size
Target
492
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
SA
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Funding & Sponsors
Funding source category [1]
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Government body
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Name [1]
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National Health and Medical Research Council (NHMRC) and Department of Health and Aged Care - Medical Research Future Fund (MRFF)– Preventive and Public Health Research Initiative – 2024 Maternal Health and Healthy Lifestyles Grant Opportunity
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Address [1]
318514
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Country [1]
318514
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Australia
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Primary sponsor type
University
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Name
University of South Australia
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Address
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Country
Australia
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Secondary sponsor category [1]
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None
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Name [1]
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None
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Address [1]
321179
0
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Country [1]
321179
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Other collaborator category [1]
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Government body
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Name [1]
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Preventive Health SA
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Address [1]
283481
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Country [1]
283481
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Australia
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Other collaborator category [2]
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University
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Name [2]
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Flinders University
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Address [2]
283482
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Country [2]
283482
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Australia
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Ethics approval
Ethics application status
Submitted, not yet approved
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Ethics committee name [1]
317119
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University of South Australia Human Research Ethics Committee
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Ethics committee address [1]
317119
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https://i.unisa.edu.au/staff/research/research-ethics/human-research-ethics/
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Ethics committee country [1]
317119
0
Australia
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Date submitted for ethics approval [1]
317119
0
16/04/2025
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Approval date [1]
317119
0
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Ethics approval number [1]
317119
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Summary
Brief summary
The LiveBetterSA trial has been designed to compare the effectiveness of artificial intelligence (AI) powered digital health coaching to traditional telephone-based health coaching in supporting healthy lifestyle changes. The study aims to evaluate whether the digital health coaching program is as effective as telephone-based health coaching on weight management at 6 months. Participants will be randomly assigned to receive either digital health coaching or telephone health coaching over six months. The study will also examine the effects of digital health coaching on secondary outcomes—including waist circumference, physical activity levels, dietary habits, sleep, and quality of life, compared to traditional telephone-based coaching. In addition, the study will assess key implementation outcomes including participant engagement and program acceptability. Finally, a health economic analysis will be conducted to assess whether the digital health coaching model offers a cost-effective alternative to traditional telephone coaching. This study represents the first large-scale evaluation of an AI-powered digital health coaching model for preventive health. If successful, it could offer a scalable, sustainable approach to improving population health in Australia.
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Trial website
www.livebettersa.com.au
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof Carol Maher
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Address
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University of South Australia GPO Box 2471. Adelaide SA 5001
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Country
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Australia
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Phone
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+61 8 8302 2315
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Fax
140058
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Email
140058
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[email protected]
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Contact person for public queries
Name
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Carol Maher
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Address
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University of South Australia GPO Box 2471. Adelaide SA 5001
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Country
140059
0
Australia
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Phone
140059
0
+61 8 8302 2315
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Fax
140059
0
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Email
140059
0
[email protected]
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Contact person for scientific queries
Name
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Carol Maher
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Address
140060
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University of South Australia GPO Box 2471. Adelaide SA 5001
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Country
140060
0
Australia
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Phone
140060
0
+61 8 8302 2315
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Fax
140060
0
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Email
140060
0
[email protected]
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Data sharing statement
Will the study consider sharing individual participant data?
No
No IPD sharing reason/comment:
Ethical approval and participant consent do not permit external data sharing. Data access is restricted per University of South Australia ethics guidelines and Australian privacy laws, ensuring confidentiality and compliance with data protection policies.
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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