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Trial registered on ANZCTR
Registration number
ACTRN12625000341426p
Ethics application status
Submitted, not yet approved
Date submitted
8/04/2025
Date registered
23/04/2025
Date last updated
23/04/2025
Date data sharing statement initially provided
23/04/2025
Type of registration
Prospectively registered
Titles & IDs
Public title
The Impact of Social Media content on health decisions: Exploring the influence of varying content and information about attention-deficit hyperactivity disorder (ADHD)
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Scientific title
A randomised online trial evaluating the effect of social media posts about ADHD on medical decision making
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Secondary ID [1]
314168
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None
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Self-diagnosis
337015
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ADHD
337014
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Misinformation on social media
337016
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Condition category
Condition code
Mental Health
333466
333466
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0
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Studies of normal psychology, cognitive function and behaviour
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Public Health
333467
333467
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0
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Health service research
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
The aim of this trial is to test and evaluate how different types of messaging (personal anecdotes and awareness campaigns) and different descriptions of symptoms (evidence-based vs misrepresentative) affect participants’ perceptions, emotions and intentions.
Participants will be randomly assigned to one of four conditions: (1) a personal anecdote featuring evidence-based symptoms, (2) a personal anecdote featuring misrepresentative symptoms, (3) an awareness campaign featuring evidence-based symptoms (control group), or (4) an awareness campaign featuring misrepresentative symptoms. The study materials consist of TikTok posts designed to mimic real online content, each consisting of 5 slides which will take approximately 1-2 minutes to engage with. The misrepresentative symptoms include generalized or sensationalized descriptions of ADHD symptoms not supported by clinical evidence that are commonly found on social media such as relationship roadblocks, impulsive spending, picking skin, and chewing the inside of one’s cheeks. The evidence-based symptoms include difficulties maintaining attention, excessive fidgeting, frequently losing things, and difficulty waiting one’s turn. The personal anecdote will recount the experience of noticing ADHD symptoms and the benefit of reaching a diagnosis. The awareness campaign will feature a neutral tone with statements about the prevalence of ADHD and how to recognize the signs. The intervention groups will receive the content containing misrepresentative symptoms of ADHD, which are not recognized by medical professionals and may lead to misconceptions or overdiagnosis.
Participants will view the assigned content within an online survey hosted on Qualtrics, with Qualtrics analytics being used to monitor adherence to the intervention. After exposure to the stimulus, they will complete a series of outcome measures assessing intention to self-diagnose, intention to seek an official diagnosis, internalized stigma, emotional response and credibility and trust of the information. The total time for participation is estimated to be 10-15 minutes. The intervention materials have been developed based on existing ADHD-related content commonly found on social media platforms and standardized questionnaires.
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Intervention code [1]
330768
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Behaviour
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Comparator / control treatment
The control group will be randomised to view the awareness campaign featuring evidence-based symptoms. Participants randomised to this control condition will complete the same outcome measures and are estimated to take a similar time to complete the study.
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Control group
Active
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Outcomes
Primary outcome [1]
341040
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Intention to self diagnose
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Assessment method [1]
341040
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“Reading these symptoms, I think I may have ADHD”. Measured on a 5-point scale (1 = Very unlikely to 5 = Very likely) A free text question will also ask participants to explain their choice “Please tell us why”
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Timepoint [1]
341040
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Administered immediately after participants have read the information on the TikTok post they are randomised to (intervention or control materials).
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Secondary outcome [1]
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Psychosocial outcomes
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Assessment method [1]
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1. How did you feel when you read the information in the TikTok post? (1=not at all to 7= extremely) a. Assured b. Hopeful c. Relieved d. Anxious e. Afraid f. Worried 2. How worried do you feel about the symptoms described in the scenario above if you had them? a. 1 = not worried at all b. 2 = a bit worried c. 3 = quite worried d. 4 = very worried
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Timepoint [1]
445932
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Administered immediately after participants have read the information on the TikTok post they are randomised to (intervention or control materials).
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Secondary outcome [2]
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Intention to seek an official diagnosis
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Assessment method [2]
445930
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“If I had concerns about having ADHD, I would try to seek help from a mental health professional”. Measured on a 7-point scale (1 = Definitely false to 7 = Definitely true)
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Timepoint [2]
445930
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Administered immediately after participants have read the information on the TikTok post they are randomised to (intervention or control materials).
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Secondary outcome [3]
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Credibility and trust. This will be assessed as a composite outcome.
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Assessment method [3]
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1. The TikTok information about ADHD is: 7-point scale: 1 = unreliable, 7 = reliable 2. The TikTok information about ADHD is: 7-point scale: 1 = honest, 7 = dishonest 3. The TikTok information about ADHD is: 7-point scale: 1 = untrustworthy, 7 = trustworthy 4. The TikTok account sharing information about ADHD is: 7-point scale: 1 = not an expert, 7 = an expert 5. The TikTok account sharing information about ADHD is: 7-point scale: 1 = inexperienced, 7 = experienced 6. The TikTok account sharing information about ADHD is: 7-point scale: 1 = unknowledgeable, 7 = knowledgeable
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Timepoint [3]
445933
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Administered immediately after participants have read the information on the TikTok post they are randomised to (intervention or control materials).
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Secondary outcome [4]
445931
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Internalized stigma
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Assessment method [4]
445931
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Three questions about internalized stigma measured on a 4-point scale (1= strongly disagree to 4= Strongly agree). 1. If I had ADHD, I believe people would discriminate against me 2. If I had ADHD, I believe people would ignore me or take me less seriously 3. I’m worried people will treat me differently if I have ADHD
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Timepoint [4]
445931
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Administered immediately after participants have read the information on the TikTok post they are randomised to (intervention or control materials).
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Eligibility
Key inclusion criteria
Adults aged 18-40 years, living in Australia, who have not been formally diagnosed with ADHD or autism spectrum disorder (ASD), and are not currently on treatment for these disorders.
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Minimum age
18
Years
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Maximum age
40
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
Diagnosed with ADHD or ASD, received treatment for ADHD or ASD
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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)
Participants will be recruited through Dynata, a market research company, and will access the study via an online Qualtrics survey. Upon providing informed consent, participants will be randomly assigned to one of the four study conditions (personal anecdote with evidence-based symptoms, personal anecdote with misrepresentative symptoms, awareness campaign with evidence-based symptoms, or awareness campaign with misrepresentative symptoms) using Qualtrics' built-in randomization function. Neither the researchers nor Dynata will be aware of the condition to which participants are allocated.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Randomisation will take place through computerised sequence generation using the Randomizer function included in Qualtrics. This function utilises the Mersenne Twister pseudorandom number generator.
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Masking / blinding
Blinded (masking used)
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Who is / are masked / blinded?
The people receiving the treatment/s
The people administering 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
Baseline characteristics for the four groups will be quantified and mean and standard deviations will be calculated for continuous variables, as well as frequencies and relative frequencies for categorical variables. 95% confidence intervals will be calculated for all demographic measures.
To analyse the effect of the post content (personal anecdote vs awareness campaign) and symptom descriptions (evidence-based symptoms vs misrepresentative symptoms) on participants’ intention to self-diagnose ADHD and secondary outcomes, five 2x2 between-subjects ANOVAs will be conducted.
SPSS version 27.0 will be used to conduct the analysis. Outliers will be identified using boxplots and Z-scores, and appropriate measures will be taken (e.g., exclusion) as needed. Furthermore, a content analysis will be utilised to extract patterns and/or themes from open-ended questions and free-text responses in the survey data. The quantitative data analysis will be conducted in collaboration with a statistician to guarantee the appropriate application of statistical methods and the accuracy of the results.
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
1/05/2025
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Actual
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Date of last participant enrolment
Anticipated
31/05/2025
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Actual
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Date of last data collection
Anticipated
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Actual
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Sample size
Target
928
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Accrual to date
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Final
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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]
318683
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University
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Name [1]
318683
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The University of Sydney
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Address [1]
318683
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Country [1]
318683
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Australia
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Primary sponsor type
University
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Name
The University of Sydney
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Address
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Country
Australia
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Secondary sponsor category [1]
321105
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University
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Name [1]
321105
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Maastricht University
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Address [1]
321105
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Country [1]
321105
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Netherlands
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Ethics approval
Ethics application status
Submitted, not yet approved
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Ethics committee name [1]
317294
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The University of Sydney Human Research Ethics Committee
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Ethics committee address [1]
317294
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https://www.sydney.edu.au/research/research-integrity-and-ethics.html
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Ethics committee country [1]
317294
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Australia
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Date submitted for ethics approval [1]
317294
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04/02/2025
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Approval date [1]
317294
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Ethics approval number [1]
317294
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Summary
Brief summary
Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the most discussed health topics on social media, with an increasing rate of individuals self-diagnosing based on online content. However, some of the content consists of misleading or misrepresentative symptom descriptions, which may contribute to misdiagnosis, overidentification, and unnecessary distress. This study aims to examine the impact of different types of ADHD-related TikTok posts (personal anecdotes vs. awareness campaigns) and the accuracy of symptom descriptions (evidence-based vs. misrepresentative) on participants' perceptions, emotions, and self-diagnosis intentions. It is hypothesised that personal anecdotes will evoke higher intentions to self-diagnose, internalized stigma and emotional engagement, but lower intentions to seek an official diagnosis and perceptions of credibility compared to awareness campaigns. Further, content featuring misrepresentative symptoms is hypothesised to lead to higher intention to self-diagnose, stigma, and stronger emotional responses. Interaction effects are anticipated, with personal anecdotes containing misrepresentative symptoms eliciting the highest intention to self-diagnose, stigma, and emotional response, while awareness campaigns containing evidence-based symptoms are expected to result in the highest intention to seek an official diagnosis and credibility. Given the increasing influence of social media on health perceptions and self-diagnosis behaviors, this study will provide valuable insights into how different types of ADHD-related online content affect individuals' understanding and decision-making. The findings can contribute to discussions on responsible health communication, misinformation, and the potential risks of self-diagnosis based on social media content.
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Trial website
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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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Dr Tessa Copp
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Address
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Room 127A Edward Ford Building (A27) Fisher Road, The University of Sydney Camperdown NSW 2006
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Country
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Australia
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Phone
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+61 2 86277646
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Fax
140594
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Email
140594
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[email protected]
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Contact person for public queries
Name
140595
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Tessa Copp
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Address
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Room 127A Edward Ford Building (A27) Fisher Road, The University of Sydney Camperdown NSW 2006
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Country
140595
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Australia
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Phone
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+61 2 86277646
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Fax
140595
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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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Tessa Copp
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Address
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Room 127A Edward Ford Building (A27) Fisher Road, The University of Sydney Camperdown NSW 2006
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Country
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Australia
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Phone
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+61 2 86277646
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Fax
140596
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Email
140596
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[email protected]
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Data sharing statement
Will the study consider sharing individual participant data?
Yes
Will there be any conditions when requesting access to individual participant data?
Persons/groups eligible to request access:
•
Anyone
Conditions for requesting access:
•
All individual participant data collected during the trial can be made available upon request in de identified CSV or excel datasets, along with the data dictionary.
What individual participant data might be shared?
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All de-identified individual participant data
What types of analyses could be done with individual participant data?
•
Systematic reviews and meta-analyses
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Studies testing whether findings can be repeated or confirmed
When can requests for individual participant data be made (start and end dates)?
From:
After publication of main results
To:
A finite period of:
10
years
Where can requests to access individual participant data be made, or data be obtained directly?
•
Email of trial custodian, sponsor or committee:
Data can be obtained upon direct contact with the principal investigator. Contact details of the principal investigator are:
[email protected]
Are there extra considerations when requesting access to individual participant data?
No
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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