Please note that the copy function is not enabled for this field.
If you wish to
modify
existing outcomes, please copy and paste the current outcome text into the Update field.
LOGIN
CREATE ACCOUNT
LOGIN
CREATE ACCOUNT
MY TRIALS
REGISTER TRIAL
FAQs
HINTS AND TIPS
DEFINITIONS
Trial Review
The ANZCTR website will be unavailable from 1pm until 3pm (AEDT) on Wednesday the 30th of October for website maintenance. Please be sure to log out of the system in order to avoid any loss of data.
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this
information for consumers
Download to PDF
Trial registered on ANZCTR
Registration number
ACTRN12618000772246
Ethics application status
Approved
Date submitted
4/05/2018
Date registered
8/05/2018
Date last updated
23/04/2019
Date data sharing statement initially provided
23/04/2019
Type of registration
Prospectively registered
Titles & IDs
Public title
A study to test a smartphone app to monitor disability in patients attending hospital for a six minute walk test
Query!
Scientific title
An open-source smartphone app to enable accurate, continuous, remote assessment of physical activity and participation in patients attending hospital for a six minute walk test.
Query!
Secondary ID [1]
294789
0
None
Query!
Universal Trial Number (UTN)
Query!
Trial acronym
Query!
Linked study record
Query!
Health condition
Health condition(s) or problem(s) studied:
Disability
307717
0
Query!
Condition category
Condition code
Physical Medicine / Rehabilitation
306770
306770
0
0
Query!
Other physical medicine / rehabilitation
Query!
Intervention/exposure
Study type
Observational
Query!
Patient registry
False
Query!
Target follow-up duration
Query!
Target follow-up type
Query!
Description of intervention(s) / exposure
We are assessing the feasibility and accuracy of using a smartphone app to measure a remote 6 min walk test, to count steps, record GPS data and allow participants to respond to a questionnaire. Participants will install an app on their phone at clinic. They will perform 2 in clinic 6 minute walk tests while using the app. Over a 5 day study period they will perform 3 remote 6 minute walk test and provide a response to the WHO-DAS questionnaire using the app. The smartphone app will extract step counts from before their clinic appointment. During 2 months following the clinic appointment the smartphone app will report their step counts and GPS data wirelessly. These will be used to calculate daily step counts and walking speed. The GPS data will be used to calculate how much time they spend at home, how far they travel, how many destinations they visit and the geographical area they interact with on a daily basis using a convex polygon and standard deviation ellipse activity space.
Query!
Intervention code [1]
301104
0
Diagnosis / Prognosis
Query!
Comparator / control treatment
The control will be 2 in clinic 6 minute walk tests, a fitbit One pedometer, a BT-Q1000XT GPS transponder and a questionnaire asked in person
Query!
Control group
Uncontrolled
Query!
Outcomes
Primary outcome [1]
305764
0
To assess the reliability of 6MWT distance recorded by a smartphone app in a remote environment. We will compare the distance walked between the two in clinic tests, calculating lins concordance coefficient and performing Bland-Altman analysis. We will assess for reliability by comparing the three walk tests performed during the 5 day study period
Query!
Assessment method [1]
305764
0
Query!
Timepoint [1]
305764
0
over 5 days following clinic appointment
Query!
Secondary outcome [1]
346410
0
Mean daily step count assessed by Fitbit One or smartphone app
Query!
Assessment method [1]
346410
0
Query!
Timepoint [1]
346410
0
over 5 days following clinic appointment
Query!
Secondary outcome [2]
346411
0
GPS position from the smartphone app or dedicated transponder
Query!
Assessment method [2]
346411
0
Query!
Timepoint [2]
346411
0
over 5 days following clinic appointment
Query!
Secondary outcome [3]
346412
0
Health Status as assessed by WHO DAS 2.0 responses
Query!
Assessment method [3]
346412
0
Query!
Timepoint [3]
346412
0
One response from the app during the 5 day study period, following clinic and 1 response asked in person at the end of the study period
Query!
Secondary outcome [4]
346414
0
Patient satisfaction with the use of a smartphone app using a locally developed satisfaction questionnaire
Query!
Assessment method [4]
346414
0
Query!
Timepoint [4]
346414
0
At the conclusion of the 5 day study period, following their clinic appointment.
Query!
Secondary outcome [5]
346415
0
Standard deviation activity space calculated from smartphone GPS data
Query!
Assessment method [5]
346415
0
Query!
Timepoint [5]
346415
0
over 2 months following clinic appointment
Query!
Secondary outcome [6]
346533
0
Mean daily step counts from smartphone app
Query!
Assessment method [6]
346533
0
Query!
Timepoint [6]
346533
0
2 months following clinic appointment.
Query!
Secondary outcome [7]
346576
0
time spent at home calculated from smartphone GPS data
Query!
Assessment method [7]
346576
0
Query!
Timepoint [7]
346576
0
over 2 months following clinic
Query!
Secondary outcome [8]
346577
0
number of destinations visited calculated from smartphone GPS data
Query!
Assessment method [8]
346577
0
Query!
Timepoint [8]
346577
0
over 2 months following clinic appointment
Query!
Secondary outcome [9]
346578
0
distance traveled calculated from smartphone GPS data
Query!
Assessment method [9]
346578
0
Query!
Timepoint [9]
346578
0
over 2 months following clinic appointment calculated from smartphone GPS data
Query!
Secondary outcome [10]
346579
0
Minimum convex polygon activity space calculated from smartphone GPS data
Query!
Assessment method [10]
346579
0
Query!
Timepoint [10]
346579
0
over 2 months following clinic appointment
Query!
Secondary outcome [11]
346580
0
walking speed from the smartphone app
Query!
Assessment method [11]
346580
0
Query!
Timepoint [11]
346580
0
over 2 months following clinic appointment
Query!
Eligibility
Key inclusion criteria
• Aged > 18 years
• Own a smartphone that has an accelerometer and reports GPS data.
• Consent to installing our app on their phone, and leaving it on their phone for 2 months.
• Perform a 6MWT in clinic with no adverse effects and without the need to stop.
Query!
Minimum age
18
Years
Query!
Query!
Maximum age
No limit
Query!
Query!
Sex
Both males and females
Query!
Can healthy volunteers participate?
No
Query!
Key exclusion criteria
• Refusal of consent
• Inability to complete a 6MWT
• Not able to be followed-up at 5 days.
Query!
Study design
Purpose
Natural history
Query!
Duration
Longitudinal
Query!
Selection
Convenience sample
Query!
Timing
Prospective
Query!
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.
Query!
Recruitment
Recruitment status
Not yet recruiting
Query!
Date of first participant enrolment
Anticipated
1/06/2019
Query!
Actual
Query!
Date of last participant enrolment
Anticipated
1/06/2019
Query!
Actual
Query!
Date of last data collection
Anticipated
1/08/2019
Query!
Actual
Query!
Sample size
Target
50
Query!
Accrual to date
Query!
Final
Query!
Recruitment in Australia
Recruitment state(s)
SA
Query!
Recruitment hospital [1]
10836
0
The Royal Adelaide Hospital - Adelaide
Query!
Recruitment hospital [2]
10837
0
Hampstead Rehabilitation Centre - Northfield
Query!
Recruitment postcode(s) [1]
22580
0
5000 - Adelaide
Query!
Recruitment postcode(s) [2]
22581
0
5085 - Northfield
Query!
Funding & Sponsors
Funding source category [1]
299397
0
Hospital
Query!
Name [1]
299397
0
Royal Adelaide Hospital
Query!
Address [1]
299397
0
Royal Adelaide Hospital
Port Rd
Adelaide
SA 5000
Query!
Country [1]
299397
0
Australia
Query!
Primary sponsor type
University
Query!
Name
The University of Adelaide
Query!
Address
The University of Adelaide
North Terrace
Adelaide
SA 5000
Query!
Country
Australia
Query!
Secondary sponsor category [1]
298683
0
Hospital
Query!
Name [1]
298683
0
Royal Adelaide Hospital
Query!
Address [1]
298683
0
Royal Adelaide Hospital
Port Rd
Adelaide
SA 5000
Query!
Country [1]
298683
0
Australia
Query!
Ethics approval
Ethics application status
Approved
Query!
Ethics committee name [1]
300300
0
Central Adelaide Local Health Network Human Research Ethics Committee
Query!
Ethics committee address [1]
300300
0
L3, Roma Mitchell House, North Terrace, Adelaide SA 5000
Query!
Ethics committee country [1]
300300
0
Australia
Query!
Date submitted for ethics approval [1]
300300
0
12/12/2017
Query!
Approval date [1]
300300
0
26/04/2018
Query!
Ethics approval number [1]
300300
0
HREC/17/RAH/568
Query!
Summary
Brief summary
Our primary objective is to develop an app capable of remotely performing a six-minute walk test (6MWT), reporting step-count data, reporting GPS data, extracting historical, pre-morbid step-data and providing responses to health-related quality of life (HRQoL) assessments, namely the world health organisation’s disability assessment schedule 2.0 (WHO-DAS). Ultimately, we want to perform accurate, objective and repeat sequential assessment of a patient’s physical function and level of activity. In this study, we plan to validate the app (Clinical Health Tracker) in 50 patients who attended hospital for a 6MWT over a subsequent five-day study period. The objectives for this component will be achieved by comparing:- The distances reported by the smartphone app during two 6MWT’s performed at recruitment, in clinic, with the actual distance walked and with three remotely performed 6MWTs during the study period. Daily step-counts reported by the app with daily step-counts reported by a Fitbit one. GPS data from the app with data from a BT-3000X GPS transponder WHO-DAS responses from the smartphone app with WHO-DAS responses to the questionnaire asked at the end of the study period. Step-count prior to the smartphone app being installed to step-counts following installation, to assess if the knowledge of being monitored affects the patient’s level of activity. Smartphone app generated GPS and step-count outcomes over a two month follow-up period We aim to validate the smartphone app in 50 individuals who are attending hospital for an outpatient 6MWT. We wish to enrol 50 individuals, 25 iPhone owners and 25 Android phone owners, who have been referred to the 6MWT clinic All patients who are scheduled to attend a 6MWT within CALHN will be written to, advising them of the study. Following consent, we will complete basic demographic details. participants will install our app on their phone using a local Wi-Fi network. Each individual will be provided with a unique ID in order to activate the app and will be provided with written and verbal instructions to the app’s use. They will be provided with a Fitbit one pedometer and a GPS transponder. They will perform their in-clinic 6MWT with the app recording the distance walked and the Fitbit recording the number of steps taken. They will then perform a second 6MWT, in clinic, using the app. They will leave clinic and undergo a 5-day study period, commencing at midnight the same day. They will be instructed to answer the WHO-DAS questionnaire using the app and to perform 3 remote 6MWT’s during the study period. Patients will be visited at home, or given the option to return to the Royal Adelaide Hospital, 5 days following their clinic appointment. The pedometer will be retrieved and step-counts extracted. They will provide verbal responses to the WHO-DAS and patient satisfaction questionnaires. Two months after their follow-up visit they will be phoned to remove the Clinical Health Tracker App.
Query!
Trial website
Query!
Trial related presentations / publications
Query!
Public notes
Query!
Contacts
Principal investigator
Name
83206
0
Dr Samuel Gluck
Query!
Address
83206
0
4G751 AM
ICU Research
Royal Adelaide Hospital
Port Rd
Adelaide
SA 5000
Query!
Country
83206
0
Australia
Query!
Phone
83206
0
+61 8 70741758
Query!
Fax
83206
0
Query!
Email
83206
0
[email protected]
Query!
Contact person for public queries
Name
83207
0
Samuel Gluck
Query!
Address
83207
0
4G751 AM
ICU Research
Royal Adelaide Hospital
Port Rd
Adelaide
SA 5000
Query!
Country
83207
0
Australia
Query!
Phone
83207
0
+61 8 70741758
Query!
Fax
83207
0
Query!
Email
83207
0
[email protected]
Query!
Contact person for scientific queries
Name
83208
0
Samuel Gluck
Query!
Address
83208
0
4G751 AM
ICU Research
Royal Adelaide Hospital
Port Rd
Adelaide
SA 5000
Query!
Country
83208
0
Australia
Query!
Phone
83208
0
+61 8 70741758
Query!
Fax
83208
0
Query!
Email
83208
0
[email protected]
Query!
Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
Query!
No/undecided IPD sharing reason/comment
This wasn't in our ethics submission
Query!
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