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Trial registered on ANZCTR
Registration number
ACTRN12624000105549
Ethics application status
Approved
Date submitted
21/12/2023
Date registered
7/02/2024
Date last updated
29/09/2024
Date data sharing statement initially provided
7/02/2024
Date results provided
29/09/2024
Type of registration
Prospectively registered
Titles & IDs
Public title
Revising Evening Screen Time (REST-O): An online intervention.
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Scientific title
Revising bedtime electronic device use: A randomised three-arm online pilot and feasibility trial in new career starters.
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Secondary ID [1]
311351
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None
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Universal Trial Number (UTN)
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Trial acronym
REST-O
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Inadequate sleep
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Condition category
Condition code
Public Health
329122
329122
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0
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Health promotion/education
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Neurological
329313
329313
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0
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Other neurological disorders
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
The aims of this project are to assess the effects and feasibility of an online intervention for bedtime device use in new career starters through a pilot trial. Participants will be randomised into three arms that will receive different Behaviour Change Techniques (BCTs), inclusive of one control group, over a three-week period. The intervention arms are described below.
Arm 2 - Substitute
Week 1:
- Participants will self-monitor the outcomes of their behaviour and emotional consequences using a sleep diary, to enable researchers to guide participants to form a personalised intervention plan.
End of Week 1:
- Participants will watch a 10-15 minute informational video about the behaviour change techniques.
Participants will then attend a personalised coaching session to set a goal for their desired behaviour in week 2.
- The coaching session will run for 15 minutes, and will be virtually delivered by the lead investigator, a PhD student. Questions will be prompted using PowerPoint slides.
- During the informational video, the Substitute condition will be prompted to think of a substitute behaviour for the bedtime period, defined as the 90 minutes prior to intended bedtime.
- During the informational video, participants will be given examples of evening substitute behaviours, such as reading a book, listening to a sleep story, or listening to a meditation.
- Following the video and during the coaching session, participants will problem solve by analysing the contributing factors towards their behaviour, and suggest a way they could change. Participants will devise a substitute behaviour where they are prompted to think of a wanted or neutral behaviour to replace bedtime device use.
Week 2:
- Participants will self-monitor their substitute behaviour for one week, filling out a daily sleep diary.
Week 3:
- Participants will continue to self-monitor their substitute behaviour for one week on their own (i.e., sleep diary is not mandatory).
Arm 3 - Prevent
Arm 3 only differs from Arm 2 in terms of the time the substitute behaviour will be performed. The ‘prevent’ arm will perform the substitute behaviour at a time prior to the bedtime period (earlier than 90 minutes before intended bedtime).
Week 1:
- Participants will self-monitor the outcomes of their behaviour and emotional consequences using a sleep diary, to enable researchers to guide participants to form a personalised intervention plan.
End of Week 1:
- Participants will watch a 10-15 minute informational video about the behaviour change techniques.
Participants will then attend a personalised coaching session to set a goal for their desired behaviour in week 2.
- The coaching session will run for 15 minutes, and will be virtually delivered by the lead investigator, a PhD student. Questions will be prompted using PowerPoint slides.
- In the informational video, the Prevent condition will be prompted to think of a substitute behaviour for a specific daytime context (e.g., in their lunch break, on their commute home from work, immediately after dinner), with the aim of preventing the behaviour in the evening.
- In the informational video, participants will be given examples of daytime substitute behaviours, such as watching a YouTube video during their lunch break, listening to a podcast on their commute home from work, or playing video games immediately after dinner.
- Following the video and during the coaching session, participants will problem solve by analysing the contributing factors towards their behaviour, and suggest a way they could change. Participants will devise a substitute behaviour where they are prompted to think of a wanted or neutral behaviour to replace bedtime device use.
Week 2:
- Participants will self-monitor their substitute behaviour for one week, filling out a daily sleep diary.
Week 3:
- Participants will continue to self-monitor their substitute behaviour for one week on their own (i.e., sleep diary is not mandatory).
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Intervention code [1]
327686
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Behaviour
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Comparator / control treatment
Arm 1 - Control
Week 1:
- Participants will self-monitor the outcomes of their behaviour and emotional consequences using a sleep diary.
End of Week 1:
- Participants will watch a 10-15 minute informational video about the behaviour change techniques.
- Participants will then attend a personalised coaching session to set a goal for week 2.
- The coaching session will run for 15 minutes, and will be virtually delivered by the lead investigator, a PhD student. Questions will be prompted using PowerPoint slides.
Week 2:
- Participants will self-monitor their behaviour in relation to their goal for one week, filling out a daily sleep diary.
Week 3:
- Participants will continue to self-monitor their behaviour in relation to their goal for one week on their own (i.e., sleep diary is not mandatory).
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Control group
Active
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Outcomes
Primary outcome [1]
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Sleep duration
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Assessment method [1]
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Weekly self-report survey measure, using the Pittsburgh Sleep Quality Index (PSQI)
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Timepoint [1]
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Assessment will be at 4 timepoints, Baseline, end of Week 1, end of Week 2, end of Week 3 post-randomisation.
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Primary outcome [2]
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Sleep quality
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Assessment method [2]
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Weekly self-report survey measure, using the Pittsburgh Sleep Quality Index (PSQI)
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Timepoint [2]
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Assessment will be at 4 timepoints, Baseline, end of Week 1, end of Week 2, end of Week 3 post-randomisation.
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Primary outcome [3]
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Bedtime device use
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Assessment method [3]
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Self-reported evening screen time
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Timepoint [3]
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A daily measure completed retrospectively (upon waking) for the previous night's screen time, completed daily during week 1 and week 2 post-randomisation.
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Secondary outcome [1]
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Bedtime procrastination
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Assessment method [1]
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Weekly self-report survey measure, using the Bedtime Procrastination Scale (BPS)
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Timepoint [1]
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Assessment will be at 4 timepoints, Baseline, end of Week 1, end of Week 2, end of Week 3 post-randomisation.
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Secondary outcome [2]
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Device dependency
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Assessment method [2]
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Weekly self-report survey measure, using the Smartphone Addiction Scale (SAS)
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Timepoint [2]
430253
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Assessment will be at 4 timepoints, Baseline, end of Week 1, end of Week 2, end of Week 3 post-randomisation.
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Secondary outcome [3]
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Survey completion rate
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Assessment method [3]
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The percentage of participants who complete survey measures on a given week. Data will be collection from survey analytics, via Qualtrics.
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Timepoint [3]
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Assessment will be at 3 timepoints, end of Week 1, end of Week 2, end of Week 3 post-randomisation.
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Secondary outcome [4]
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Intervention attrition rate
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Assessment method [4]
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The percentage of participants who become inactive or formally drop out during the intervention period. Data will be collection from survey analytics, via Qualtrics.
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Timepoint [4]
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Assessment will be at 3 timepoints, end of Week 1, end of Week 2, end of Week 3 post-randomisation.
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Eligibility
Key inclusion criteria
Participants will be screened to ensure they have (1) finished full-time tertiary study and started full-time employment in the past 12 months, (2) are over 18 years of age, and (3) engage in bedtime procrastination (“Do you often procrastinate going to sleep?”).
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Minimum age
18
Years
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Maximum age
No limit
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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
People who have been previously treated for a sleep disorder will be excluded, to minimise potential confounding factors.
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Study design
Purpose of the study
Educational / counselling / training
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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)
central randomisation by computer
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Block randomisation will be used (Kang et al., 2008) to ensure even group sizes, with participants assigned to a group upon signup in a random sequence (e.g., CSP, PCS, SPC, PSC, SCP, CPS) until desired group size is reached. Participants will be blind to experimental group will not know the group to which they have been assigned.
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Masking / blinding
Blinded (masking used)
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Who is / are masked / blinded?
The people receiving the treatment/s
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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
Efficacy
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Statistical methods / analysis
Targeting a small effect size, we aim to recruit 60 participants (20 per arm) for 80% power.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
29/04/2024
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Actual
29/04/2024
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Date of last participant enrolment
Anticipated
27/05/2024
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Actual
27/05/2024
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Date of last data collection
Anticipated
17/06/2024
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Actual
12/06/2024
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Sample size
Target
60
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Accrual to date
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Final
55
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Recruitment in Australia
Recruitment state(s)
ACT,NSW,NT,QLD,SA,TAS,WA,VIC
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Funding & Sponsors
Funding source category [1]
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University
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Name [1]
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Central Queensland University
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Address [1]
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554/700 Yaamba Rd, Norman Gardens QLD 4701
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Country [1]
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Australia
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Primary sponsor type
University
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Name
Central Queensland University
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Address
554/700 Yaamba Rd, Norman Gardens QLD 4701
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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]
317558
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Address [1]
317558
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Country [1]
317558
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
314393
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CQU Human Research Ethics Committee (CQUHREC)
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Ethics committee address [1]
314393
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554/700 Yaamba Rd, Norman Gardens QLD 4701
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Ethics committee country [1]
314393
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Australia
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Date submitted for ethics approval [1]
314393
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13/11/2023
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Approval date [1]
314393
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18/01/2024
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Ethics approval number [1]
314393
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24611
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Summary
Brief summary
The aim of this study is to assess the effects and feasibility of the intervention for bedtime device use in new career starters. Using a three-arm randomised design, we will investigate the effects of intentions and habit-based approaches to reduce bedtime device use. The primary outcomes will be sleep duration, sleep quality, and bedtime device use. The secondary outcomes will be bedtime procrastination and excessive device use. We will further measure habit strength and motivation as mechanisms of change. Feasibility items to be assessed include daily survey completion rate, intervention attrition rate, as well as the effect of the intervention on outcome variables. The intervention will take place online, over a two-week period with a information video and coaching session on Zoom, as our needs assessment indicated this was the most commonly requested duration, format, and delivery method for an intervention program. It is hypothesised that: 1. Substitute and Prevent conditions will have a decrease in bedtime device use in week 2 compared to Control. 2. Substitute and Prevent conditions will have improved sleep outcomes in week 2 compared to week 1. 3. Substitute and Prevent conditions will have decreased bedtime procrastination scores, excessive device use and improved sleep quality at follow-up compared with baseline.
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Trial website
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Trial related presentations / publications
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Public notes
Our formative research revealed that hedonic motivation was a consistent predictor of bedtime device use (Hill et al., in preparation). The Theory of Hedonic Motivation posits that psychological hedonism can influence behaviour through the mechanism of hedonic motivation; the automatic, impulsive, and uncontrollable desire or urge to engage in a behaviour (Williams, 2019). Hedonic motivation is underpinned by psychological hedonism, the idea that humans are evolutionarily predisposed to seek out pleasure and avoid displeasure (Williams et al., 2018). In the context of dual-process theory (Evans & Stanovich, 2013), hedonic motivation is akin to automatic processing, driven by impulse. Results of our formative research suggest that interventions targeting automatic processes, or habit, and impulsiveness may be effective in reducing bedtime device use (Hill et al., in preparation).
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Contacts
Principal investigator
Name
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Ms Vanessa Hill
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Address
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Central Queensland University, 400 Kent St, Sydney NSW 2000
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Country
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Australia
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Phone
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+61883784518
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
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Vanessa Hill
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Address
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Central Queensland University, 400 Kent St, Sydney NSW 2000
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Country
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Australia
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Phone
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+61883784518
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Fax
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Email
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[email protected]
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Contact person for scientific queries
Name
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Vanessa Hill
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Address
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Central Queensland University, 400 Kent St, Sydney NSW 2000
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Country
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Australia
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Phone
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+61883784518
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Fax
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Email
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
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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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