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Trial registered on ANZCTR
Registration number
ACTRN12620000228987
Ethics application status
Approved
Date submitted
13/02/2020
Date registered
24/02/2020
Date last updated
27/09/2023
Date data sharing statement initially provided
24/02/2020
Type of registration
Prospectively registered
Titles & IDs
Public title
Evaluating the mySugr app for adults with type 1 diabetes
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Scientific title
Evaluating the efficacy of the mySugr app to improve glycaemic control in adults with type 1 diabetes: a randomized controlled trial
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Secondary ID [1]
300507
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None
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Universal Trial Number (UTN)
U1111-1244-8101
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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:
Type 1 diabetes
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Condition category
Condition code
Metabolic and Endocrine
314506
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0
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Diabetes
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
Participants randomised to the intervention group will be asked to use the pro version of the 'mySugr' app for 12 weeks. MySugr is a diabetes management app that allows users to log and keep track of changes in their blood glucose levels, HbA1c levels, body weight, medication, meals, carbohydrate intake, insulin, and physical activity. Users can also set reminders and goals related to the management of their diabetes. In addition, the mysugr app analyses the information logged and creates daily, weekly and monthly reports allowing users to evaluate how well they meet the goals set.
Participants can use any of the features of the app over the 12-week period. They will be encouraged to use the app daily and will be sent text message reminders to use the app once every week for 12 weeks.
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Intervention code [1]
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Behaviour
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Intervention code [2]
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Lifestyle
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Comparator / control treatment
The participants randomised to the control group will be asked to continue with standard care. Standard care includes 3-4 monthly clinic appointments to see their endocrinologist, appointments with diabetes nurse educators and other allied health staff as necessary, and continuing with their diabetes self-care regimen (e.g. monitoring blood glucose levels, taking insulin etc.)
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Control group
Active
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Outcomes
Primary outcome [1]
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Glycaemic control will be assessed by glycated haemoglobin (HbA1c) levels. This information is collected as part of standard care and will be obtained from patient medical records.
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Assessment method [1]
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Timepoint [1]
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HbA1c was collected at three time points: baseline, 12 weeks and 6 months (12-weeks was the primary outcome).
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Secondary outcome [1]
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Self-care behaviours will be assessed using the Self-Care Inventory-Revised Version (SCI-R). The scale measures patients adherence to diabetes treatment regimen and recommended lifestyle changes.
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Assessment method [1]
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Timepoint [1]
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Baseline and at completion of the 12-week intervention
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Secondary outcome [2]
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Diabetes distress will be assessed using the Problem Areas in Diabetes (PAID) questionnaire.
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Assessment method [2]
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Timepoint [2]
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Baseline and at completion of the 12-week intervention
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Secondary outcome [3]
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Quality of life will be assessed using the World Health Organisation-Five Well-Being Index (WHO-5).
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Assessment method [3]
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Timepoint [3]
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Baseline and at completion of the 12-week intervention
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Secondary outcome [4]
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Diabetes self-efficacy will be assessed using the Diabetes Self Efficacy Scale (DSES). The scale measures patient’s perceived self-efficacy in managing diabetes.
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Assessment method [4]
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Timepoint [4]
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Baseline and at completion of the 12-week intervention
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Secondary outcome [5]
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For participants in the intervention group only, engagement with the MySugr will be assessed using the end user version of the Mobile Application Rating Scale (MARS). It is a 20-item scale that assesses the quality of mobile health apps based on engagement, functionality, aesthetics, quality of information, and subjective quality.
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Assessment method [5]
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Timepoint [5]
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At completion of the 12-week intervention
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Secondary outcome [6]
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The Perceived Stress Scale (PSS-10) will be used to assess stress. It is a 10-item scale that assesses the extent to which individuals perceive events as stressful in the previous month
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Assessment method [6]
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Timepoint [6]
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Baseline and at completion of the 12-week intervention
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Eligibility
Key inclusion criteria
Inclusion criteria are: (1) a diagnosis of type 1 diabetes >1 year; (2) 18 years of age or older; (3) ability to speak, read and understand English and provide informed consent; (4) own an iOS or android smartphone that can download apps
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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
Exclusion criteria are: (1) already using a diabetes app to manage their type 1 diabetes, (2) being pregnant.
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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)
Allocation is concealed. Eligibility will be determined by an online survey on REDCap. Participants will be randomly allocated on REDCap after providing consent and completing baseline questionnaires.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Computer based random number 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
Efficacy
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Statistical methods / analysis
Sample size calculation
A sample size calculation using Gpower (Faul, Erdfelder, Lang, & Buchner, 2007) was conducted based on the effect size found for glycaemic control (Cohen’s d=0.80) reported in a study which tested the diabetes app Glucose Buddy in comparison to standard care in adults with T1D (Kirwan, Vandelanotte, Fenning, & Duncan, 2013). An a priori power calculation using 80% power and 5% significance with an independent samples t-test suggested a minimum of 52 participants (26 per treatment arm) would be required. This was increased to 60 to allow for attrition
Statistical method
Linear mixed models will be conducted to assess differences in primary and secondary outcome measures between the groups and across time. Persons correlations will also be conducted to explore the relationship between demographic variables, self-care behaviours, psychological outcomes and glycaemic control.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
31/03/2020
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Actual
19/05/2020
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Date of last participant enrolment
Anticipated
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Actual
11/08/2020
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Date of last data collection
Anticipated
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Actual
15/12/2020
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Sample size
Target
60
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Accrual to date
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Final
63
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Recruitment outside Australia
Country [1]
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New Zealand
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State/province [1]
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Auckland
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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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The University of Auckland
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Address [1]
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Dept. of Psychological Medicine
University of Auckland
Private Bag 92019, Victoria Street West,
Auckland, 1142
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Country [1]
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New Zealand
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Primary sponsor type
University
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Name
The University of Auckland
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Address
Dept. of Psychological Medicine
University of Auckland
Private Bag 92019, Victoria Street West,
Auckland, 1142
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Country
New Zealand
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Secondary sponsor category [1]
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None
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Name [1]
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Address [1]
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Country [1]
305289
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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Health and Disability Ethics Committees
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Ethics committee address [1]
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Ministry of Health 133 Molesworth Street PO Box 5013 Wellington 6011
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Ethics committee country [1]
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New Zealand
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Date submitted for ethics approval [1]
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03/12/2019
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Approval date [1]
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16/03/2020
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Ethics approval number [1]
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Summary
Brief summary
This study will evaluate the effectiveness of the mySugr app in adults with type 1 diabetes. The study will examine whether using mySugr for 12 weeks can improve glycaemic control, diabetes self-care behaviours, and psychological outcomes in patients with type 1 diabetes relative to standard care. Participants will be recruited from diabetes outpatient clinics of the Waitemata District Health Board and/or remotely via an invitation email sent to type 1 diabetes patients registered with the Waitemata District Health Board and/or through advertisements on Facebook. Participants will be randomly assigned to use the mySugr app for 12 weeks (intervention) or to continue with standard care (control). Regardless of which group they are assigned to, participants' glycaemic control will be collected when they are recruited and at the completion of the 12-week intervention. Participants will also be asked to complete questionnaires at baseline and at completion of the 12-week intervention. The questionnaires will be completed online using REDCap survey tool.
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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 Anna Serlachius
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Address
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Dept, of Psychological Medicine
University of Auckland
Private Bag 92019, Victoria Street West
Auckland 1142
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Country
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New Zealand
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Phone
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+64 09 9233073
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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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Anna Serlachius
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Address
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Dept, of Psychological Medicine
University of Auckland
Private Bag 92019, Victoria Street West
Auckland 1142
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Country
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New Zealand
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Phone
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+64 09 9233073
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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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Anna Serlachius
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Address
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Dept, of Psychological Medicine
University of Auckland
Private Bag 92019, Victoria Street West
Auckland 1142
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Country
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New Zealand
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Phone
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+64 09 9233073
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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
We do not have informed consent from patients to share their data.
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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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