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Trial registered on ANZCTR
Registration number
ACTRN12618000867291
Ethics application status
Approved
Date submitted
17/05/2018
Date registered
22/05/2018
Date last updated
22/05/2018
Type of registration
Prospectively registered
Titles & IDs
Public title
The use of a smartphone app to monitor activity and participation in patients undergoing cardio-thoracic surgery
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Scientific title
The use of a smartphone app to monitor patient function and activity before and after cardiothoracic surgery
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Secondary ID [1]
294919
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The SMART-HEART Study
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Universal Trial Number (UTN)
U1111-1214-2166
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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:
Ischaemic Heart Disease
307881
0
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Valvular Heart Disease
307882
0
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Condition category
Condition code
Cardiovascular
306930
306930
0
0
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Coronary heart disease
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Cardiovascular
306931
306931
0
0
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Other cardiovascular diseases
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
Use of a smartphone app to record step and GPS data and responses to a questionnaire before and after Cardio-thoracic surgery. At least 7-days of step and GPS data prior to surgery and 6 months post surgery.
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Intervention code [1]
301235
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Diagnosis / Prognosis
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Comparator / control treatment
N/A
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
305913
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Number of days of complete returned GPS data - GPS data is to be collected every 5 minutes. Every 24 hours will provide 288 readings. If 80% (230 readings) are present the day will be counted as complete.
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Assessment method [1]
305913
0
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Timepoint [1]
305913
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7 days prior to and 6 months post surgery
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Primary outcome [2]
305914
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Number of days of complete returned step data - Daily Step-data completeness will be assessed by counting the number of days where there is a difference between first and last step of > 10 hours, incomplete data will be any day where step data is reported, but <10 hours are reported. Step data will be obtained from the cloud database - that in turn will get its data from the smartphone app
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Assessment method [2]
305914
0
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Timepoint [2]
305914
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7 days prior to and 6 months post surgery
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Primary outcome [3]
305915
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Patient satisfaction with a study specific questionnaire
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Assessment method [3]
305915
0
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Timepoint [3]
305915
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6 months post surgery
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Secondary outcome [1]
347011
0
Mean daily step count from data in the cloud database, data in the cloud database is wireless reported from a smartphone app
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Assessment method [1]
347011
0
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Timepoint [1]
347011
0
7 days prior to and 6 months post surgery
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Secondary outcome [2]
347012
0
Mean daily step cadence from data in the cloud database, data in the cloud database is wireless reported from a smartphone app
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Assessment method [2]
347012
0
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Timepoint [2]
347012
0
7 days prior to and 6 months post surgery
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Secondary outcome [3]
347013
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Time spent inactive from data in the cloud database, data in the cloud database is wireless reported from a smartphone app
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Assessment method [3]
347013
0
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Timepoint [3]
347013
0
7 days prior to and 6 months post surgery
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Secondary outcome [4]
347014
0
Standard Deviation Ellipse (SDE) activity space will be calculated from data in the cloud database, data in the cloud database is wireless reported from a smartphone app. The activity space will be calculated in ARC GIS
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Assessment method [4]
347014
0
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Timepoint [4]
347014
0
7 days prior to and 6 months post surgery
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Secondary outcome [5]
347015
0
Minimum Convex Polygon (MCP) activity space will be calculated from data in the cloud database, data in the cloud database is wireless reported from a smartphone app. The activity space will be calculated in ARC GIS
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Assessment method [5]
347015
0
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Timepoint [5]
347015
0
7 days prior to and 6 months post surgery
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Secondary outcome [6]
347016
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Percentage time spent at home will be calculated from data in the cloud database, data in the cloud database is wireless reported from a smartphone app. Home will be coded as a 200m radius from a location the participant has spent the most time at.
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Assessment method [6]
347016
0
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Timepoint [6]
347016
0
7 days prior to and 6 months post surgery
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Secondary outcome [7]
347017
0
Number of destinations visited will be calculated from data in the cloud database, data in the cloud database is wireless reported from a smartphone app. A destinationis calculated using the Spatio-Temporal Density-Based Spatial Clustering of Applications with Noise (ST-DBSCAN) tool.
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Assessment method [7]
347017
0
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Timepoint [7]
347017
0
7 days prior to and 6 months post surgery
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Secondary outcome [8]
347018
0
Linear distance traveled will be calculated from data in the cloud database, data in the cloud database is wireless reported from a smartphone app. The haversine formula will be used to calculate the difference between each GPS point and summed to give a daily total, with the mean daily distance traveled over the study period being reported
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Assessment method [8]
347018
0
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Timepoint [8]
347018
0
7 days prior to and 6 months post surgery
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Secondary outcome [9]
347019
0
Number of journeys made will be calculated as the number of changes in destination. A destinationis calculated using the Spatio-Temporal Density-Based Spatial Clustering of Applications with Noise (ST-DBSCAN) tool, using GPS data from the cloud database which is supplied with its data from the smartphone app.
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Assessment method [9]
347019
0
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Timepoint [9]
347019
0
7 days prior to and 6 months post surgery
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Eligibility
Key inclusion criteria
• Aged >= 18
• They are undergoing CAG, valvular surgery or a combination;
• Their planned surgery is >7 days from recruitment;
• They own a smartphone;
• They have access to a home Wi-Fi network.
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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
• They refuse to consent;
• They are not ambulatory at baseline (pre-morbidly not able to walk continuously for 5 minutes or more);
• Non-English speaker.
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Study design
Purpose
Natural history
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Duration
Longitudinal
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Selection
Convenience sample
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Timing
Prospective
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Statistical methods / analysis
Continuous data will be described by mean (standard deviation) or median [interquartile range] depending upon normality of distribution. Categorical data will be summarized as number (percentage). Between group comparisons will be performed by t-test, rank-sum, or chi-squared distribution of frequencies as indicated.
Where repeated measures exist, population average point estimates and between group comparisons will employ generalized estimating equations.
Concordance between like measures will be assessed by Lin’s concordance correlation statistic and Bland-Altman limits of agreement.
Data will be imported into and analysed using Stata MP/15.1 – StataCorp LLC USA.
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
15/06/2018
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Actual
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Date of last participant enrolment
Anticipated
30/11/2018
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Actual
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Date of last data collection
Anticipated
31/05/2019
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Actual
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Sample size
Target
150
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
SA,VIC
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Recruitment hospital [1]
10916
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The Royal Adelaide Hospital - Adelaide
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Recruitment hospital [2]
10917
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Flinders Medical Centre - Bedford Park
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Recruitment hospital [3]
10918
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Royal Melbourne Hospital - City campus - Parkville
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Recruitment postcode(s) [1]
22678
0
5000 - Adelaide
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Recruitment postcode(s) [2]
22679
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5042 - Bedford Park
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Recruitment postcode(s) [3]
22680
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3050 - Parkville
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Funding & Sponsors
Funding source category [1]
299501
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Hospital
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Name [1]
299501
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Royal Adelaide Hospital
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Address [1]
299501
0
Royal Adelaide Hospital
Port Rd
Adelaide
SA 5000
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Country [1]
299501
0
Australia
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Primary sponsor type
Hospital
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Name
Royal Adelaide Hospital
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Address
Royal Adelaide Hospital
Port Rd
Adelaide
SA 5000
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Country
Australia
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Secondary sponsor category [1]
298802
0
University
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Name [1]
298802
0
The University of Adelaide
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Address [1]
298802
0
The University of Adelaide
North Terrace
Adelaide
SA 5000
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Country [1]
298802
0
Australia
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
300403
0
CALHN HREC
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Ethics committee address [1]
300403
0
CALHN Research Office – Ethics and Governance L3, Roma Mitchell House, North Terrace Adelaide SA 5000
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Ethics committee country [1]
300403
0
Australia
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Date submitted for ethics approval [1]
300403
0
11/05/2018
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Approval date [1]
300403
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15/05/2018
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Ethics approval number [1]
300403
0
HREC/18/CALHN/307
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Summary
Brief summary
We are assessing the feasibility of using a smartphone app to monitor patients activity and participation. We will ask patients to install a smartphone app on their phone. Patients will install our app on their phone at least 7 days pre-op. The app will report step and GPS data and allow participants to respond to a questionnaire, data will be reported anonymously to a secure cloud database. They will then undergo surgery. We will follow them up for 6 months. before asking them a satisfaction questionnaire and deleting the app from their phone
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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
83550
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Dr Samuel Gluck
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Address
83550
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ICU Research Department
4G751 - AM
RAH
Port Rd
Adelaide
SA 5000
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Country
83550
0
Australia
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Phone
83550
0
+61 8 70741758
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Fax
83550
0
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Email
83550
0
[email protected]
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Contact person for public queries
Name
83551
0
Samuel Gluck
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Address
83551
0
ICU Research Department
4G751 - AM
RAH
Port Rd
Adelaide
SA 5000
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Country
83551
0
Australia
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Phone
83551
0
+61 8 70741758
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Fax
83551
0
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Email
83551
0
[email protected]
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Contact person for scientific queries
Name
83552
0
Samuel Gluck
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Address
83552
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ICU Research Department
4G751 - AM
RAH
Port Rd
Adelaide
SA 5000
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Country
83552
0
Australia
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Phone
83552
0
+61 8 70741758
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Fax
83552
0
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Email
83552
0
[email protected]
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No information has been provided regarding IPD availability
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.
Download to PDF