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Trial registered on ANZCTR
Registration number
ACTRN12622000531718
Ethics application status
Approved
Date submitted
7/03/2022
Date registered
5/04/2022
Date last updated
8/05/2024
Date data sharing statement initially provided
5/04/2022
Type of registration
Prospectively registered
Titles & IDs
Public title
The effect of a remote digital NUDGE on chronic disease outcomes in individuals with type 2 diabetes
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Scientific title
The effect of a remote digital NUDGE on chronic disease outcomes in individuals with type 2 diabetes
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Secondary ID [1]
306242
0
None
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Universal Trial Number (UTN)
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Trial acronym
NUDGE
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Type 2 diabetes
325043
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Condition category
Condition code
Metabolic and Endocrine
322474
322474
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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
Digital nudging is a strategy derived from behavioural economics and refers to changing people’s behaviour toward a desirable outcome by making the desirable option the salient, easy or default option, but without telling people what to do. As individuals have their mobile phones in close vicinity during most parts of the day, nudge interventions can be pushed to the users through the phone at critical times – e.g.,: closer to snacking time periods in the evening, when users most want, or likely need, the support.
Over 2 week period, individuals will be daily (micro-) randomized to receive a nudge SMS or no message. Each participant acts as their own control. MRT involves randomly assigning an intervention option at each relevant decision point: a point in time when—based on theory, participant’s past behaviour, and the participant’s current context—a particular intervention component might be efficacious. MRT will occur daily for two-weeks to either a tailored nudge or no nudge. These nudges will delivered at a time that is nominated at screening as being the optimal time to receive it.
A brief snippet of the nudge will be delivered thorough MMS (for Android phones) and iMessage (for iPhone users) on nudge days. When clicked, the full message will be shown in the study App (Intui Research). Automatic read receipt and user feedback response is recorded when the app is opened and the full version of the nudge content is accessed. Nudge content includes information about the negative consequences of snacking after dinner and/or immediately actionable alternatives. Nudges will be delivered in the evening, at a time the participant indicates the behaviour typically occurs, and at a time that will suit them to receive the message. A nudge is a message or image that can be read in 15 seconds or less.
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Intervention code [1]
322712
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Lifestyle
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Comparator / control treatment
Nothing will be delivered on non-nudge days.
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Control group
Active
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Outcomes
Primary outcome [1]
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Mean within individual differences in incremental area under the curve (iAUC) measured by continuous glucose monitoring (CGM)
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Assessment method [1]
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Timepoint [1]
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90 minutes post-dinner till 4 am between nudging days and non-nudging days during the 2 week intervention period
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Secondary outcome [1]
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Nudge-specific differences in glycaemic response (iAUC/hr) measured by continuous glucose monitors between the seven picto-graphic nudges
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Assessment method [1]
405486
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Timepoint [1]
405486
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90 minutes post-dinner till 4 am between nudging days and non-nudging days overall 2 weeks intervention period
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Secondary outcome [2]
405487
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Nudge-specific differences in snacking behaviour (CGM peaks) measured by continuous glucose monitors between the seven picto-graphic nudges
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Assessment method [2]
405487
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Timepoint [2]
405487
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90 minutes post-dinner till 4 am between nudging days and non-nudging days over the 2-week intervention.
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Secondary outcome [3]
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Difference in the frequency of CGM peaks measured by continuous glucose monitors
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Assessment method [3]
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Timepoint [3]
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from 90 minutes post-dinner until 4 am between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [4]
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Difference in the magnitude of CGM peaks measured by continuous glucose monitors
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Assessment method [4]
405489
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Timepoint [4]
405489
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from 90 minutes post-dinner until 4 am between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [5]
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changes in glucose iAUC measured by continuous glucose monitors
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Assessment method [5]
405490
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Timepoint [5]
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between the baseline lead-in and intervention 2-week periods
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Secondary outcome [6]
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changes in glucose peaks (number and magnitude) measured by continuous glucose monitors
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Assessment method [6]
405491
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Timepoint [6]
405491
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between the baseline lead-in and intervention 2-week periods.
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Secondary outcome [7]
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Mean responses to the four sub-scales and the overall engagement score of the Nudge User Engagement Scale Questionnaire based on the validated user engagement scale questionnaire
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Assessment method [7]
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Timepoint [7]
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at the end of the 2 weeks intervention period
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Secondary outcome [8]
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Difference in night-to-night mean apnoea and hypopnea index (AHI) measured by the under-mattress sleep sensor
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Assessment method [8]
408050
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Timepoint [8]
408050
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [9]
408051
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Difference in night-to-night mean sleep duration measured by the under-mattress sleep sensor
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Assessment method [9]
408051
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Timepoint [9]
408051
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [10]
408052
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Difference in night-to-night mean timing of sleep onset measured by the under-mattress sleep sensor
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Assessment method [10]
408052
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Timepoint [10]
408052
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [11]
408053
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Difference in night-to-night mean waking times measured by the under-mattress sleep sensor
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Assessment method [11]
408053
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Timepoint [11]
408053
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [12]
408054
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Difference in night-to-night mean sleep depth measured by the under-mattress sleep sensor
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Assessment method [12]
408054
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Timepoint [12]
408054
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [13]
408055
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Difference in night-to-night mean heart rate measured by the under-mattress sleep sensor
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Assessment method [13]
408055
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Timepoint [13]
408055
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [14]
408056
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Difference in night-to-night variation (N2NV) of apnoea and hypopnea index (AHI) measured by the under-mattress sleep sensor (calculated as the night-to-night standard deviation of AHI)
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Assessment method [14]
408056
0
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Timepoint [14]
408056
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [15]
408057
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Difference in night-to-night variation (N2NV) of sleep duration measured by the under-mattress sleep sensor (calculated as the night-to-night standard deviation of sleep duration)
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Assessment method [15]
408057
0
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Timepoint [15]
408057
0
between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [16]
408058
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Difference in night-to-night variation (N2NV) of the timing of sleep onset measured by the under-mattress sleep sensor (calculated as the night-to-night standard deviation of the timing of sleep onset)
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Assessment method [16]
408058
0
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Timepoint [16]
408058
0
between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [17]
408059
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Difference in night-to-night variation (N2NV) of the waking times measured by the under-mattress sleep sensor (calculated as the night-to-night standard deviation of the waking times)
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Assessment method [17]
408059
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Timepoint [17]
408059
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [18]
408060
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Difference in night-to-night variation (N2NV) of sleep depth measured by the under-mattress sleep sensor (calculated as the night-to-night standard deviation of sleep depth)
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Assessment method [18]
408060
0
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Timepoint [18]
408060
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [19]
408061
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Difference in night-to-night variation (N2NV) of heart rate measured by the under-mattress sleep sensor (calculated as the night-to-night standard deviation of heart rate)
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Assessment method [19]
408061
0
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Timepoint [19]
408061
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between nudging days and non-nudging days during the 2-week intervention period
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Secondary outcome [20]
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Nightly apnoea and hypopnea index (AHI) measured by the under-mattress sleep sensor
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Assessment method [20]
420499
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Timepoint [20]
420499
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during 2 weeks of the lead-in phase at baseline
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Secondary outcome [21]
420500
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Nightly sleep duration measured by the under-mattress sleep sensor
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Assessment method [21]
420500
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Timepoint [21]
420500
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during 2 weeks of the lead-in phase at baseline
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Secondary outcome [22]
420501
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Nightly timing of sleep onset measured by the under-mattress sleep sensor
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Assessment method [22]
420501
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Timepoint [22]
420501
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during 2 weeks of the lead-in phase at baseline
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Secondary outcome [23]
420502
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Nightly waking times measured by the under-mattress sleep sensor
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Assessment method [23]
420502
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Timepoint [23]
420502
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during 2 weeks of the lead-in phase at baseline
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Secondary outcome [24]
420503
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Nightly sleep depth measured by the under-mattress sleep sensor
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Assessment method [24]
420503
0
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Timepoint [24]
420503
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during 2 weeks of the lead-in phase at baseline
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Secondary outcome [25]
420504
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Nightly sleep depth measured by the under-mattress sleep sensor
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Assessment method [25]
420504
0
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Timepoint [25]
420504
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during 2 weeks of the lead-in phase at baseline
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Secondary outcome [26]
420505
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Nightly heart rate measured by the under-mattress sleep sensor
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Assessment method [26]
420505
0
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Timepoint [26]
420505
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during 2 weeks of the lead-in phase at baseline
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Secondary outcome [27]
420506
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Mean responses to the two Nudge Content Questionnaire items
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Assessment method [27]
420506
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Timepoint [27]
420506
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at the end of the 2 weeks intervention period
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Secondary outcome [28]
420507
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The frequency of categories of responses to the open-ended item
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Assessment method [28]
420507
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Timepoint [28]
420507
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at the end of the 2 weeks intervention period
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Secondary outcome [29]
420508
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Mean time between nudge being sent and time it is observed
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Assessment method [29]
420508
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Timepoint [29]
420508
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during 2 weeks of the intervention phase
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Secondary outcome [30]
420509
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The difference between dinner time and the time of nudges is observed
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Assessment method [30]
420509
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Timepoint [30]
420509
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during 2 weeks of the intervention phase
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Secondary outcome [31]
420510
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Daily glucose iAUC measured by continuous glucose monitors
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Assessment method [31]
420510
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Timepoint [31]
420510
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during lead-in phase at baseline
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Eligibility
Key inclusion criteria
Adults with type 2 diabetes.
• Managed with diet or a stable dose of oral antidiabetic medications for at least 3 months.
• Report habitual snacking after dinner most nights (3 or more per week)
• Resident in the greater Adelaide area
• In possession of and uses a smartphone
• Capacity to provide written informed consent and willingness to participate and adhere with the study protocol
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Minimum age
18
Years
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Maximum age
75
Years
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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
A personal history/diagnosis (self-reported) of:
• Type 1 diabetes
• Individuals with advanced diabetes complications (renal dialysis, above ankle amputation, registered partially blind)
• Major psychiatric disorders (schizophrenia, major depressive disorder, bipolar disorder, borderline personality disorder),
• Eating disorder or restrictive eating pattern
• Any gastrointestinal condition or medication causing vomiting or affecting absorption.
• Current, planned or recently completed (within 6 months) treatment for cancer (excluding non-melanoma skin cancer)
• Insomnia
• Significant liver, kidney, cardiovascular or any other medical conditions that would in the opinion of the study physician adversely affect participation in the study (e.g. renal dialysis, liver cirrhosis, cardiac failure limiting activities of daily living, degenerative neurological disorder)
• Any other condition deemed unstable by the study physician
• Habitual evening consumption of alcohol other than one standard drink with dinner
Currently taking the following medications:
• Use of insulin or sulfonylurea
• Glucocorticoids
• Antipsychotic medications
• Opioid medications unless combined with paracetamol in a single formulation and used occasionally on a PRN basis
Additional exclusion criteria include:
• Shift-workers
• Pregnant or currently breastfeeding
• Weight stable at least 2 weeks prior to the study participation
• Anyone unable to comprehend the study protocol or provide informed consent (i.e. due to English language or cognitive difficulties)
• Those who have not had a coronavirus disease (COVID-19) vaccination
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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)
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Methods used to generate the sequence in which subjects will be randomised (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
Crossover
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
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Statistical methods / analysis
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
9/05/2022
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Actual
9/05/2022
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Date of last participant enrolment
Anticipated
6/04/2023
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Actual
6/04/2023
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Date of last data collection
Anticipated
30/04/2023
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Actual
30/04/2023
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Sample size
Target
90
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Accrual to date
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Final
67
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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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Department for Health and Wellbeing
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Address [1]
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11 Hindmarsh Square, Adelaide SA 5000
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Country [1]
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Australia
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Funding source category [2]
313591
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Charities/Societies/Foundations
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Name [2]
313591
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Diabetes Australia Research Program
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Address [2]
313591
0
Tenant B, 19-23 Moore Street, Turner ACT, Australia, 2612
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Country [2]
313591
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Australia
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Primary sponsor type
University
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Name
The University of Adelaide
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Address
South Australia Health and Medical Research Institue (SAHMRI),
North Terrace,
Adelaide,
SA
5000
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Country
Australia
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Secondary sponsor category [1]
311777
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University
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Name [1]
311777
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Flinders University
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Address [1]
311777
0
Sturt Rd, Bedford Park SA 5042
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Country [1]
311777
0
Australia
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Other collaborator category [1]
282141
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Charities/Societies/Foundations
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Name [1]
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Diabetes SA
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Address [1]
282141
0
159 Sir Donald Bradman Dr, Hilton SA 5033
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Country [1]
282141
0
Australia
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
310194
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The University of Adelaide Human Research Ethics Committee (HREC)
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Ethics committee address [1]
310194
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Level 5, Rundle Mall Plaza, 50 Rundle Mall THE UNIVERSITY OF ADELAIDE, Adelaide, SA 5005
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Ethics committee country [1]
310194
0
Australia
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Date submitted for ethics approval [1]
310194
0
12/11/2021
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Approval date [1]
310194
0
11/01/2022
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Ethics approval number [1]
310194
0
H-2022-002
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Summary
Brief summary
This study will examine the efficacy of delivering an electronic just in time nudge to reduce glucose levels at home in individuals with type 2 diabetes. Delivering an pictographic behavioural nudge by smartphone app (Intui Research) with a SMS reminder proximal to the anticipated time of snacking, compared to non-nudge delivery, will lead to a reduction in the glucose area under the curve after dinner measured by continuous glucose monitors and improved sleep health.
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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
116826
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Prof Gary Wittert
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Address
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Level 7, South Australia Health and Medical Research Institue (SAHMRI),
North Terrace,
Adelaide,
SA
5000
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Country
116826
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Australia
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Phone
116826
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+61 409 411 789
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Fax
116826
0
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Email
116826
0
[email protected]
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Contact person for public queries
Name
116827
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Lijun Zhao
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Address
116827
0
Level 7, South Australia Health and Medical Research Institue (SAHMRI),
North Terrace,
Adelaide,
SA
5000
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Country
116827
0
Australia
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Phone
116827
0
+61 08 8128 4898
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Fax
116827
0
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Email
116827
0
[email protected]
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Contact person for scientific queries
Name
116828
0
Gary Wittert
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Address
116828
0
Level 7, South Australia Health and Medical Research Institue (SAHMRI),
North Terrace,
Adelaide,
SA
5000
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Country
116828
0
Australia
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Phone
116828
0
+61 409 411 789
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Fax
116828
0
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Email
116828
0
[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?
The data included in the main outcome paper will be made available following the publication of that paper and other data after any post hoc analyses have been undertaken and published. A formal request with a proposal indicating research questions, hypothesis, analysis and publication plan.
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When will data be available (start and end dates)?
Available after data has been published, with no end date
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Available to whom?
Academic researchers providing a formal request with a proposal indicating research questions, hypothesis, analysis and publication plan.
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Available for what types of analyses?
For the purpose of scientific research
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How or where can data be obtained?
On the request via email to principal investigator Gary Wittert (
[email protected]
).
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What supporting documents are/will be available?
No Supporting Document Provided
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
14828
Ethical approval
[email protected]
383442-(Uploaded-27-01-2022-01-06-49)-Study-related document.pdf
18815
Statistical analysis plan
383442-(Uploaded-05-04-2023-16-48-46)-Study-related document.docx
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
Source
Title
Year of Publication
DOI
Embase
A micro-randomized pilot study to examine the impact of just-in-time nudging on after-dinner snacking in adults with type 2 diabetes: A study protocol.
2023
https://dx.doi.org/10.1111/dom.15159
N.B. These documents automatically identified may not have been verified by the study sponsor.
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