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Trial registered on ANZCTR
Registration number
ACTRN12621001345875
Ethics application status
Approved
Date submitted
7/08/2021
Date registered
7/10/2021
Date last updated
7/10/2021
Date data sharing statement initially provided
7/10/2021
Type of registration
Prospectively registered
Titles & IDs
Public title
REthinking the Model of Outpatient Diabetes Care utilising eHeaLth in Regional, Rural and Remote Populations
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Scientific title
Clinical outcomes of an eHealth-facilitated model of type 2 diabetes care in regional, rural and remote populations: The REMODeL-R3 trial
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Secondary ID [1]
303754
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None
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Universal Trial Number (UTN)
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Trial acronym
REMODEL-R3
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Type 2 Diabetes
321234
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Condition category
Condition code
Metabolic and Endocrine
319024
319024
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0
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Diabetes
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Public Health
320899
320899
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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
In order to avoid bias, all participants will receive a Bluetooth-enabled glucose meter and a box of 100 test strips, and they will be encouraged to test their blood glucose levels daily, however, there are no specified testing requirements for this trial.
The participants in the intervention group will be connected to a Mobile Diabetes Management System (MDMS), which consists of a smartphone application where participants can track their glucose readings and access their insulin prescriptions, and a browser-based clinician portal for patient monitoring and communication. Participants using the MDMS will also receive text messages with self-management advice, which will be based on their most recent readings and their frequency of testing. There will also be general lifestyle advice.
Examples of text messages:
•“Blood glucose checks were less than once daily. More regular checks can help your diabetes management. Any problem? Talk to your diabetes team”
•“Foods that affect blood sugar are carbohydrates - breads, cereals, starchy vegetables (potato & corn), snack foods (biscuits & cake) and some fruits.”
Every Monday, participants will receive insulin dose adjustment (IDA) advice based on the previous week’s glucose readings. The advice will be generated by Insulin Insights, an FDA-cleared insulin titration algorithm from Mellitus Health. For safety, an endocrinologist will review the IDA advice before the patient is notified of the new advice via text message.
The insulin dose adjustment service will be available for the first 8 weeks of the 6-month trial. After that, participants will have access to the app and receive text message advice until the end of the study at the 6-month mark.
Adherence and fidelity to the system can be estimated by observing the participants’ testing frequency in the clinician portal, as well as the number of insulin dose adjustment advice generated and accepted by the participants.
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Intervention code [1]
320070
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Treatment: Other
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Intervention code [2]
321503
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Treatment: Devices
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Comparator / control treatment
The control group will receive standard care from the Princess Alexandra Hospital's Telehealth Diabetes Clinic. Standard care is an initial review by the endocrinologist at the telehealth clinic and having periodic follow-up reviews as determined by the endocrinologist. The person with diabetes might be referred to the nurse-led insulin dose adjustment service at the endocrinologist's discretion.
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Control group
Active
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Outcomes
Primary outcome [1]
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change in HbA1c - (blood sample)
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Assessment method [1]
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Timepoint [1]
326927
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3 months post-intervention commencement
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Secondary outcome [1]
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change in HbA1c - (blood sample)
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Assessment method [1]
393150
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Timepoint [1]
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6 months post-intervention commencement
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Secondary outcome [2]
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change in Quality of life using the EQ-5D
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Assessment method [2]
393151
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Timepoint [2]
393151
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6 months post-intervention commencement
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Secondary outcome [3]
393152
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Percentage of participants achieving individual target HbA1c (blood sample)
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Assessment method [3]
393152
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Timepoint [3]
393152
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6 months post-intervention commencement
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Secondary outcome [4]
393153
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body weight as assessed by remote clinic data at GP or community health centres
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Assessment method [4]
393153
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Timepoint [4]
393153
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6 months post-intervention commencement
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Secondary outcome [5]
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change in Health literacy using eHealth literacy questionnaire (eHLQ)
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Assessment method [5]
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Timepoint [5]
393154
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6 months post-intervention commencement
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Secondary outcome [6]
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change in diabetes related self-management using the SCPI (Diabetes Skills, Confidence & Preparedness Index)
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Assessment method [6]
393155
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Timepoint [6]
393155
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6 months post-intervention commencement
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Secondary outcome [7]
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Acceptability of the MDMS using the modified SUTAQ questionnaire ( Service User Technology Acceptability Questionnaire)
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Assessment method [7]
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Timepoint [7]
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6 months post-intervention commencement
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Secondary outcome [8]
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Self-reported hypoglycaemic events at 3 and 6 months, collected through an electronic survey emailed to participants via REDCap
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Assessment method [8]
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Timepoint [8]
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3 and 6 months post-intervention commencement
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Eligibility
Key inclusion criteria
People living with type 2 diabetes, attending the PA diabetes telehealth service:
• with a glycated haemoglobin (HbA1c) >8%,
• with an age >=18 years,
• with pre-existing type 2 diabetes for at least 6 months, and
• on insulin.
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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?
No
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Key exclusion criteria
The exclusion criteria will be participants
• those referred to conventional IDA
• those using the insulin pump, flash glucose monitoring or continuous glucose monitoring devices,
• with a recent bariatric surgery of less than 12 months,
• unable to communicate in English,
• who are pregnant or those planning pregnancy in the next 12 months,
• on insulin Ryzodeg
• those who do not have a reliable internet connection (either through Wi-fi at home or 3G/4G).
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Study design
Purpose of the study
Treatment
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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)
Allocation will be concealed. The randomisation table will be through the REDCap software (randomisation table to be uploaded by the study statistician who will not be recruiting the participants)
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Computerised sequence generation
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Masking / blinding
Open (masking not used)
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Who is / are masked / blinded?
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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
The primary analysis will be an intention-to-treat and differences in repeated measurements will be compared using a linear mixed model, adjusting for baseline glycated haemoglobin (HbA1c). We will also look at self-reported hypoglycaemic events to asses the safety of this intervention
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
1/11/2021
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Actual
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Date of last participant enrolment
Anticipated
30/06/2022
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Actual
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Date of last data collection
Anticipated
31/12/2022
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Actual
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Sample size
Target
112
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
QLD
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Recruitment hospital [1]
18985
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Princess Alexandra Hospital - Woolloongabba
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Recruitment postcode(s) [1]
33492
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4102 - Woolloongabba
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Funding & Sponsors
Funding source category [1]
308162
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Government body
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Name [1]
308162
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QLD Health
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Address [1]
308162
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Level 13, 33 Charlotte Street,
Brisbane QLD 4000
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Country [1]
308162
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Australia
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Funding source category [2]
309366
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Government body
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Name [2]
309366
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Metro South Health
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Address [2]
309366
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Princess Alexandra Hospital, 199 Ipswich Rd, Woolloongabba QLD 4102
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Country [2]
309366
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Australia
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Primary sponsor type
University
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Name
University of Queensland
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Address
St Lucia QLD 4072
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Country
Australia
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Secondary sponsor category [1]
308996
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None
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Name [1]
308996
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Address [1]
308996
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Country [1]
308996
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
308148
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Metro South Human Research Ethics Committee
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Ethics committee address [1]
308148
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Level 7, Translational Research Institute Building Princess Alexandra Hospital 37 Kent St, Woolloongabba Qld 4102
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Ethics committee country [1]
308148
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Australia
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Date submitted for ethics approval [1]
308148
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14/01/2021
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Approval date [1]
308148
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10/02/2021
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Ethics approval number [1]
308148
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HREC/2020/QMS/66107
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Summary
Brief summary
For better educating patients and sustaining their self-management, we have developed, based on digital health principles, an innovative Mobile-based Diabetes Management System (MDMS). The MDMS consists of a clinician portal, as well as a consumer-facing smartphone application. The proof-of-concept, feasibility and pilot trials of the Mobile Diabetes Management System (MDMS) that we have completed have demonstrated a significant improvement in blood glucose levels, a high degree of consumer satisfaction and a good proportion of conventional in-person visits being substituted in a tertiary diabetes service at the Princess Alexandra Hospital, Brisbane. In this project we have added an insulin titration feature to the MDMS, which will be trialled with people living in regional, rural and remote Queensland. Participants will be recruited from the PA’s telehealth service. The aim of the project is to trial the updated MDMS for efficacy and safety. We anticipate that this project will lead to improved glycaemic outcomes.
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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
109698
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Dr Anish Menon
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Address
109698
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Princess Alexandra Hospital
199 Ipswich Road
Woollongabba,
Brisbane Qld 4102 Australia
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Country
109698
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Australia
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Phone
109698
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+617 3176 2690
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Fax
109698
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Email
109698
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[email protected]
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Contact person for public queries
Name
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Anish Menon
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Address
109699
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Princess Alexandra Hospital
199 Ipswich Road
Woollongabba,
Brisbane Qld 4102 Australia
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Country
109699
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Australia
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Phone
109699
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+61 7 3176 2690
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Fax
109699
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Email
109699
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[email protected]
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Contact person for scientific queries
Name
109700
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Anish Menon
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Address
109700
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Princess Alexandra Hospital
199 Ipswich Road
Woollongabba,
Brisbane Qld 4102 Australia
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Country
109700
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Australia
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Phone
109700
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+617 3176 2690
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Fax
109700
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Email
109700
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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)?
Yes
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What data in particular will be shared?
De-identified primary outcome data only
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When will data be available (start and end dates)?
Immediately following publication for 5 years after.
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Available to whom?
Researchers only
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Available for what types of analyses?
Meta-analyses
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How or where can data be obtained?
By contacting the principal investigator via email:
[email protected]
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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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