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
ACTRN12612000090819
Ethics application status
Approved
Date submitted
17/01/2012
Date registered
18/01/2012
Date last updated
6/05/2016
Type of registration
Prospectively registered
Titles & IDs
Public title
Smart Patient Monitoring System for Older Adults to provide remote health care
Query!
Scientific title
Smart patient monitoring system for advanced remote health care for older adults
Query!
Secondary ID [1]
279683
0
Nil
Query!
Universal Trial Number (UTN)
U1111-1126-9410
Query!
Trial acronym
Query!
Linked study record
Query!
Health condition
Health condition(s) or problem(s) studied:
Physiological Monitoring
285510
0
Query!
Vital signs monitoring
285597
0
Query!
Condition category
Condition code
Public Health
285700
285700
0
0
Query!
Epidemiology
Query!
Intervention/exposure
Study type
Observational
Query!
Patient registry
Query!
Target follow-up duration
Query!
Target follow-up type
Query!
Description of intervention(s) / exposure
In this system vital signs (with informed consent) will be gathered from patients and sent to a control unit for centralized monitoring. The system can complement the role of nurses in monitoring patients’ vital signs. They will be able to focus on holistic needs of patients thereby providing better personal care. Advance and complex medical algorithms will be developed in order to detect several events by using vital signs.
Wireless network technologies will be utilized for transmission of vital signs in the proposed system, as they provide flexibility and mobility to patients. The proposed system will be tested in real-time in public hospital wards after obtaining ethical approval. The capability, suitability and limitation of the chosen technology and the results will be evaluated and validated with two different methods, i.e. comparing with other systems and by agreement with expert using Kappa analysis.
Total 30 participants will be considered. Each participant will be monitored for 5 hours.
Query!
Intervention code [1]
283975
0
Diagnosis / Prognosis
Query!
Comparator / control treatment
No treatment
Query!
Control group
Uncontrolled
Query!
Outcomes
Primary outcome [1]
286304
0
Older patient monitoring: Older people can be monitored continuously or periodically from a remote place (home), older people home, rest home, handicap home, or hospital.
This will help reducing work load of medical staff and access to the patient's vital data. This outcome will be validated with two different methods, i.e. comparing with similar remote monitoring systems and by agreement using Kappa analysis.
Query!
Assessment method [1]
286304
0
Query!
Timepoint [1]
286304
0
at sixth month after the sample data collected
Query!
Primary outcome [2]
286305
0
Early and multiple disease detection: The early detection of the events, by giving a warning or alarm, so that any critical situation can be avoided and depending upon the input parameters, different events can be detected. This outcome will also be validated with two different methods, i.e. comparing with similar monitoring systems and by agreement using Kappa analysis.
Query!
Assessment method [2]
286305
0
Query!
Timepoint [2]
286305
0
at sixth month after the sample data collection
Query!
Secondary outcome [1]
295573
0
Better health monitoring: Proposed system will monitor patient's vital signs continuously, identify events and alerts medical staff in case of an emergency. This system can be implemented in hospital or home. In case of hospital it will reduce work load of medical staff and in case of home, it will reduce patient's travelling time, money, doctor's time, hospital cost and patient will have its environment freedom. This outcome will be validated by agreement with the expert using Kappa analysis.
Query!
Assessment method [1]
295573
0
Query!
Timepoint [1]
295573
0
at one year after the data collection
Query!
Eligibility
Key inclusion criteria
Participants above the age of 65 years are considered.
Query!
Minimum age
65
Years
Query!
Query!
Maximum age
No limit
Query!
Query!
Sex
Both males and females
Query!
Can healthy volunteers participate?
Yes
Query!
Key exclusion criteria
The key exclusion criteria are:
Exclusion of refusal of inform consent,
Hodkinson AMT 7/10 or less (Hodkinson H. M., 1972),
Patients deemed unsuitable by medical or nursing staff,
Terminally ill patients and,
Patients on any other monitoring device.
Query!
Study design
Purpose
Natural history
Query!
Duration
Cross-sectional
Query!
Selection
Random sample
Query!
Timing
Prospective
Query!
Statistical methods / analysis
Kappa Analysis
Query!
Recruitment
Recruitment status
Completed
Query!
Date of first participant enrolment
Anticipated
1/08/2012
Query!
Actual
15/09/2012
Query!
Date of last participant enrolment
Anticipated
Query!
Actual
1/06/2013
Query!
Date of last data collection
Anticipated
Query!
Actual
Query!
Sample size
Target
30
Query!
Accrual to date
Query!
Final
30
Query!
Recruitment outside Australia
Country [1]
4047
0
New Zealand
Query!
State/province [1]
4047
0
Auckland
Query!
Funding & Sponsors
Funding source category [1]
284466
0
University
Query!
Name [1]
284466
0
Auckland University of Technology
Query!
Address [1]
284466
0
Building WA - level 2
55 Wellesley Street East
Auckland Central 1010
Query!
Country [1]
284466
0
New Zealand
Query!
Primary sponsor type
Individual
Query!
Name
Professor Martin J. Connolly
Query!
Address
University of Auckland and Waitemata District Health Board,
Shakespeare Road, PO Box 93 503, Takapuna, North Shore 0740.
Query!
Country
New Zealand
Query!
Secondary sponsor category [1]
283452
0
Individual
Query!
Name [1]
283452
0
Dr. Hamid GholamHosseini
Query!
Address [1]
283452
0
31-33 Symonds Street,
Level 2, WL Building, School of Engineering,
AUT University, Auckland, 1142,
Private Bag: 92006
Query!
Country [1]
283452
0
New Zealand
Query!
Secondary sponsor category [2]
283453
0
Individual
Query!
Name [2]
283453
0
Mirza Mansoor Baig
Query!
Address [2]
283453
0
31-33 Symonds Street,
Level 2, WL Building, School of Engineering
AUT University, Auckland, 1142,
Private Bag: 92006
Query!
Country [2]
283453
0
New Zealand
Query!
Ethics approval
Ethics application status
Approved
Query!
Ethics committee name [1]
286448
0
Health and Disability Ethics Committee
Query!
Ethics committee address [1]
286448
0
Query!
Ethics committee country [1]
286448
0
New Zealand
Query!
Date submitted for ethics approval [1]
286448
0
01/03/2012
Query!
Approval date [1]
286448
0
01/06/2012
Query!
Ethics approval number [1]
286448
0
NTX/12/EXP/073/AM01
Query!
Ethics committee name [2]
294973
0
Auckland University of Technology Ethics Committee
Query!
Ethics committee address [2]
294973
0
Query!
Ethics committee country [2]
294973
0
New Zealand
Query!
Date submitted for ethics approval [2]
294973
0
13/01/2012
Query!
Approval date [2]
294973
0
07/05/2012
Query!
Ethics approval number [2]
294973
0
12/117
Query!
Summary
Brief summary
This research is aimed to evaluate and develop an intelligent monitoring system combined with biological data for patient (human) tracking and monitoring. This project aims to improve the performance of current patient monitoring systems by identifying the shortfalls of existing technology and developing a system for providing alerts to the health care professionals as well as the user in the event of detecting a serious illness symptom.
Query!
Trial website
Query!
Trial related presentations / publications
1. Baig, M. M. (2014). Smart Vital Signs Monitoring and Novel Falls Prediction System for Older Adults. Doctoral Thesis, AUT University, Auckland, NZ. 2. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2016). Falls risk assessment for hospitalised older adults: a combination of motion data and vital signs. Aging Clinical and Experimental Research (available online first), pp. 1-10. doi: 10.1007/s40520-015-0510-5 (Available at: http://link.springer.com/article/10.1007/s40520-015-0510-5) 3. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2015). Multiple physical signs detection and decision support system for hospitalized older adults. Physiological measurement, 36(10), 2069-2088 4. Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2014). Remote Patient Monitoring System: Evaluation of Medical Devices from Patients’ Perspective. Journal of Health Care and Informatics Review Online, 18(1), 25-37. ISSN 1174-3379. Available at http://www.hinz.org.nz/journal/2014/07/Remote-Patient-Monitoring-System–Evaluation-of-Medical-Devices-from-Patients—-Perspective/1063
Query!
Public notes
Query!
Contacts
Principal investigator
Name
33600
0
A/Prof Hamid GholamHosseini
Query!
Address
33600
0
31-33 Symonds Street, Level 2, WL Building, School of Engineering AUT University, Auckland, 1142, Private Bag: 92006
Query!
Country
33600
0
New Zealand
Query!
Phone
33600
0
+64 9 921 9999 ext: 8755
Query!
Fax
33600
0
Query!
Email
33600
0
[email protected]
Query!
Contact person for public queries
Name
16847
0
Hamid GholamHosseini
Query!
Address
16847
0
31-33 Symonds Street,
Level 2, WL Building, School of Engineering
AUT University, Auckland, 1142,
Private Bag: 92006
Query!
Country
16847
0
New Zealand
Query!
Phone
16847
0
+64 9 921 9999 ext: 8755
Query!
Fax
16847
0
+64 9 921 9973
Query!
Email
16847
0
[email protected]
Query!
Contact person for scientific queries
Name
7775
0
Hamid GholamHosseini
Query!
Address
7775
0
31-33 Symonds Street,
Level 2, WL Building, School of Engineering
AUT University, Auckland, 1142,
Private Bag: 92006
Query!
Country
7775
0
New Zealand
Query!
Phone
7775
0
+64 9 921 9999 ext: 8755
Query!
Fax
7775
0
+64 9 921 9973
Query!
Email
7775
0
[email protected]
Query!
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