Smart Patient Monitoring System for Older Adults to provide remote health care

Not Applicable

Completed

• Conditions: Physiological Monitoring; Vital signs monitoring; Public Health - Epidemiology

• Registration Number: ACTRN12612000090819
• Lead Sponsor: Professor Martin J. Connolly

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2012-01-18
• Last Update Posted: 13 January 2020

Recruitment & Eligibility

• Status: Completed
• Sex: All
• Target Recruitment: 30

Inclusion Criteria

Participants above the age of 65 years are considered.

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.

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
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.<br>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.[at sixth month after the sample data collected];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.[at sixth month after the sample data collection]

Secondary Outcome Measures

Name	Time	Method
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.[at one year after the data collection]