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Trial registered on ANZCTR
Registration number
ACTRN12615000029594
Ethics application status
Approved
Date submitted
7/10/2014
Date registered
19/01/2015
Date last updated
19/01/2015
Type of registration
Retrospectively registered
Titles & IDs
Public title
Smarter, Safer Homes for the Ageing and Disabled Person Pilot Study to investigate the feasibility, acceptance, usage and impact of providing a smart home platform with environmental sensors and mobile techniques to facilitate safe living of older and disabled Australians.
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Scientific title
Smarter, Safer Homes for the Ageing and Disabled Person Pilot Study aims at assessing the viability of CSIRO's Smarter Safer Homes (SSH) platform to support both aged and young people with physical disability to live independently longer at home, to assist service providers' decision making for individualised care planning for timely intervention.
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Secondary ID [1]
285434
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None
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Universal Trial Number (UTN)
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Trial acronym
SSHAD
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Monitoring and deriving relevant information of health status in elderly participants/young people with disability to enable independent living and support from family/relative or health care provider
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Condition category
Condition code
Public Health
293468
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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
No specific intervention or treatment. All participant homes will have environmental sensors and medical devices installed for health, wellbeing and activity monitoring and a corresponding support tablet PC and application over a period of 12 months.
Participants are encouraged to do regular measurements of their body weight, blood pressure, body temperature, and blood glucose (only when necessary) at least once per week. They can do these measurements by themselves, or clinical/nursing staff from our trial collaborators can arrange weekly visits to help them do these measurements. All measurements will be automatically uploaded to our data server, with no requirements of participants' manually inputs.
The system also provides a courtesy videoconference module that only intends to provide another way for participants to communicate with their family members, and/or healthcare providers. We will not use this module to communicate with participants. However we do record number of usages of this videoconference module as an index of their activity level of social connectivity for their self-monitor purpose.
Environmental sensors are:
*Motion sensor – detects indoor movements
*Power sensor – detects power usages of electrical appliances
*Contact sensor – detects open/close of doors including front/back doors, fridge
*Temperature/humidity – detects changes in temperature or humidity in bathroom or kitchen
*Accelerometer – detect movements on beds, such as tossing and turning during sleep
Medical devices are:
*AND UA-321PBT scale – measures human body weight
*AND UA-767PBT – measures blood pressure
*Myglucohealth Glucometer – measures blood glucose level
*Tunstall Ear thermometer - measures body temperature
Information from sensors will be collected and made available to participants for a period of 12 months in an easy to understand format on iPads to provide an overview of their health, well-being and activity levels. Furthermore, data will be analysed to assess for correlations with episodes of illness and to determine a new way of scoring daily activity for health and wellbeing monitoring purposes.
A corresponding Internet portal application will be provided to their family, friend or relative assigned by the participant.
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Intervention code [1]
290367
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Other interventions
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Comparator / control treatment
Nil
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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Independent living scales or Activities of Daily Living (ADL) (Mobility, Meal, Hygiene, Transfer, Dress) assessed through tools including Katz index (for ageing people) and Barthel Index (for disabled people)
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Assessment method [1]
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Timepoint [1]
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6 and 12 months
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Secondary outcome [1]
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Develop methods to recognise and identify individual activity profile(s) in multi-resident homes through sensors, which will be assessed by comparing against routine activity data such as indoor movements, sit/stand postural transfer, bed time, collected through wearable sensors (such as bluetooth tag, accelerometer sensors), and meal preparation, shower taking, shopping collected by the "daily routine questionnaire".
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Assessment method [1]
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Timepoint [1]
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6 to 12 months
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Eligibility
Key inclusion criteria
Over 65 years of age or under 65 years of age with disability, have an Internet Service Provider (ISP) connection to broadband internet, are living independently or intend to live independently, and require no home care support.
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Minimum age
No limit
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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
Live in an aged care facility; have constant 24 hr/7 day a week nursing support; are residents of nursing home facility, no internet access; unwilling to utilise a touch screen device for connectivity. Pre-existing diagnosed condition with compromised cognition or previous early on-set of dementia
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Study design
Purpose of the study
Prevention
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Allocation to intervention
Non-randomised 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)
N/A
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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
Single group
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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
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Recruitment
Recruitment status
Recruiting
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Date of first participant enrolment
Anticipated
1/10/2014
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Actual
1/10/2014
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Date of last participant enrolment
Anticipated
31/01/2015
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Actual
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Date of last data collection
Anticipated
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Actual
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Sample size
Target
5
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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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Funding & Sponsors
Funding source category [1]
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Government body
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Name [1]
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Australian eHealth Research Centre, CSIRO
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Address [1]
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Level 5
UQ Health Sciences Building
901/16 Royal Brisbane and Women's Hospital HERSTON
QLD 4029
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Country [1]
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Australia
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Primary sponsor type
Government body
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Name
CSIRO Digital Productivity Flagship
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Address
Level 5
UQ Health Sciences Building
901/16 Royal Brisbane and Women's Hospital HERSTON
QLD 4029
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Country
Australia
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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]
288732
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Country [1]
288732
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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CSIRO Food and Nutrition Flagship Human Research Ethics Committee
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Ethics committee address [1]
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Gate 13 Kintore Ave, Adelaide SA 5000 PO BOX 10041, Adelaide BC SA 5000, Australia
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Ethics committee country [1]
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Australia
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Date submitted for ethics approval [1]
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20/08/2014
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Approval date [1]
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26/09/2014
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Ethics approval number [1]
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2014/12
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Summary
Brief summary
The aim of the Smarter, Safer Homes project is to investigate the feasibility, acceptance, usage and impact of providing cutting edge technology into the homes of elderly people and providing a number of services informed by the technology to: 1. A resident or aged/disabled person 2. Their family 3. Their health care providers To this end we have created the SSH platform, which is made up of a collection of hardware (sensors, computers, iPad) and software (iPad app and portals) which will be provided to participants for a period of twelve months for the purpose of a pilot study of a series of “Smart Homes”. The SSH platform is a web based monitoring and communication system which can a) collectively present health and well-being information of independently living aged/disabled people in a way useful to care providers; b) collectively present health and well-being information of independently living aged/disabled people in a way useful to interested adult children of the elderly person or family members of the disabled people, without compromising the privacy of the aged/disabled person; c) enhance and promote interactions by care providers and family members through the use of the video conferencing module. The primary outcomes of the study are: * Independent living scales or Activities of Daily Living (ADL) (Mobility, Meal, Hygiene, Transfer, Dress) assessed through tools e.g. Katz index, Barthel Index The secondary outcomes of the study are: * Develop methods to recognise and identify individual activity profile(s) in multi-resident homes through sensors, which will be assessed by comparing against routine activity data collected through wearable sensors (such as mobile phones) and simple daily routine questionnaires.
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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 Qing Zhang
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Address
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CSIRO Digital Productivity Flagship, The Australian eHealth Research centre, Level 5, UQ Health Sciences Building 901/16, Royal Brisbane and Women's Hospital, Herston QLD 4029
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Country
51870
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Australia
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Phone
51870
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61 7 3253 3630
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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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Qing Zhang
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Address
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CSIRO Digital Productivity Flagship, The Australian eHealth Research centre, Level 5, UQ Health Sciences Building 901/16, Royal Brisbane and Women's Hospital, Herston QLD 4029
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Country
51871
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Australia
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Phone
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61 7 3253 3630
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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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Qing Zhang
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Address
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CSIRO Digital Productivity Flagship, The Australian eHealth Research centre, Level 5, UQ Health Sciences Building 901/16, Royal Brisbane and Women's Hospital, Herston QLD 4029
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Country
51872
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Australia
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Phone
51872
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61 7 3253 3630
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Fax
51872
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Email
51872
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[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.
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