The Perceived Efficiency and Acceptability of Remote Real-time Health Monitoring System in Elderly Residential Setting and Community Isolation Facility

NCT05302440 | Completed Results FDA Device

• 1 other identifier: HKU_real-time_monitor_v3
• Study Type: observational
• Target: 20
• Locations: 1 country
• Sites: 2

Brief Summary

The study has 3 primary research questions and 6 secondary research questions targeting care staff in the setting of residential care homes for the elderly. The 3 primary research questions are:

1. 1.Will care staff perceive the remote real-time health monitoring system with ring-like sensor as efficient?
2. 2.Will the system facilitate any early detection of abnormal vital signs?
3. 3.Will the system facilitate early delivery of medical support?
4. 4.What are the numbers of hospital admissions and further medical assistance due to the adoption of the system?
5. 5.Will the system reduce the stress level of the care staff?
6. 6.What are the perceived benefits and acceptability of the care staff towards the system?
7. 7.What should be considered when developing the evaluation framework for the adaption of the system in elderly residential setting?
8. 8.Are there any barriers and difficulties in the set-up of the system?
9. 9.What are the concerns in choosing wireless or cable connection for the monitoring device?

Conditions

Technology

Keywords

Gerontechnology; Smart Healthcare Device; Digital Health Technology

Outcome Measures

Primary Outcomes (3)

• Average Staff Perceived Overall Time-saving of the System Over 14 Days

  After every shift for 14 days, the staff fill in a survey for the following item with 5-point Likert scale (5= Strongly Agree, 1= Strongly Disagree): 3\. The remote real-time health monitoring system reduces your time for measuring vital signs of the residents in the previous shift

  every day during the 2-week trial period

• Average Staff Perception of the System on Early Detection of Abnormal Vital Signs Over 14 Days

  After every shift for 14 days, the staff fill in a survey for the following item with 5-point Likert scale (5= Strongly Agree, 1= Strongly Disagree): 2\. The remote real-time health monitoring system facilitates you to monitor the vital signs in the previous shift

  every day during the 2-week trial period

• Average Staff Perception of the System on Its Facilitation of Early Delivery of Medical Support Over 14 Days

  After every shift for 14 days, the staff fill in a survey for the following item with 5-point Likert scale (5= Strongly Agree, 1= Strongly Disagree): 1\. The remote real-time health monitoring system facilitates you to provide early delivery of medical support in the previous shift

  every day during the 2-week trial period

Secondary Outcomes (7)

• Number of Hospital Admissions and Further Medical Assistance

  every day during the 2-week trial period

• Average Perceived Staff Stress Level Over 14 Days

  every day during the 2-week trial period

• Number of Participants Agreeing That the System Can Remote Monitor the Vital Signs of the Participants

  at the end of 2-week trial period

• Number of Participants Agreeing That the Sensor Easily Detaches From the Participants

  at the end of 2-week trial period

• Number of Participants Agreeing That the Vital Signs Measured by the System Are Accurate

  at the end of 2-week trial period

Study Arms (1)

single-group

All care staff who manage the system will complete a very brief survey (1-minute) after each work shift for 14 days. Detection of abnormal vital signs will be recorded by the system. Hospital admission and further medical assistance due to the use of the system will be documented by the care team. The staff will be interviewed about their perceived benefits and acceptability of the system.

Device: remote real-time health monitoring system with ring-like sensor

Interventions

remote real-time health monitoring system with ring-like sensor DEVICE

The remote monitoring system will constantly record the temperature, pulse and SpO2 of the residents wearing the equipment. When the staff find abnormal vital signs, they will provide further medical assistance. All care staff who manage the system will be complete a very brief survey (1-minute) after each work shift for 14 days.

single-group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The study populations are all care staff who are responsible to operate remote health monitoring system in Haven of Hope Woo Ping Care \& Attention Home and Haven of Hope Nursing Home.

You may qualify if:

• All care staff in Haven of Hope Woo Ping Care \& Attention Home and Haven of Hope Nursing Home who are responsible to operate remote real-time health monitoring system will be invited to participate.
• The Unit in-charge and care staff responsible to set up the system from each of the participating units will be recruited.
• All care staff joining the main trial will be recruited.

Sponsors & Collaborators

• The University of Hong Kong: lead
• Haven of Hope Hospital: collaborator
• The Social Innovation and Entrepreneurship Development Fund, Hong Kong: collaborator

Study Sites (2)

Haven of Hope Nursing Home

Hong Kong, Hong Kong

Location

Kai Tak Holding Centre Zone D

Hong Kong, Hong Kong

Location

Related Publications (2)

• Piau A, Campo E, Rumeau P, Vellas B, Nourhashemi F. Aging society and gerontechnology: a solution for an independent living? J Nutr Health Aging. 2014 Jan;18(1):97-112. doi: 10.1007/s12603-013-0356-5.

  PMID: 24402399 BACKGROUND

• Carmeli, E. Aspects of assistive gerontechnology. Int J Disabil Hum Dev. 2009; 8(3): 215-218.

  BACKGROUND

Results Point of Contact

• Title: Dr. Derek Yee Tak CHEUNG
• Organization: University of Hong Kong

derekcheung@hku.hk

3917 6652

Study Officials

• Yee Tak Cheung, PhD

  The University of Hong Kong

  PRINCIPAL INVESTIGATOR

Publication Agreements

• PI is Sponsor Employee: No
• Restrictive Agreement: No

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Target Duration: 12 Weeks
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Study Record Dates

• First Submitted: March 21, 2022
• First Posted: March 31, 2022
• Study Start: March 21, 2022
• Primary Completion: May 9, 2022
• Study Completion: May 9, 2022
• Last Updated: July 5, 2024
• Results First Posted: July 5, 2024

Record last verified: 2024-01

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
• Time Frame: Data will be available for 10 years.

Locations

HK (2)