TechnologyNCT05490368
Efficacy of Bed Mattress Sensor for Detecting Pre-fall Activities and Preventing Bedside Falls in Elderly in Residential Setting
A study testing Bed mattress sensor system in people with Technology, run by The University of Hong Kong at 1 site in Hong Kong.
Trial summary
The study has 1 primary research question and 5 auxiliary research questions regarding the use of bed mattress sensor for detecting pre-fall activities in elderly residents in old-age home setting: Primary research question: 1. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Technology
- What is being tested?
- Bed mattress sensor system
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 26 participants
- Where
- 1 siteHong Kong
- Study dates
- 16 Aug 2022to 28 Feb 2023
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Who may be able to join
- Residents with fall history in the past year, or
- Residents with Morse Fall Scale score of 25 or higher (moderate to high fall risk)
- Operate the bed sensor system (i.e. provide related care and assistance upon the alerts of the system)
- Having participated in the main trial
- Able to verbally communicate in Cantonese as perceived by the staff of the related home
- Inclusion Criteria of care staff for qualitative interviews:
Show all 9Show fewer
- Having participated in the main trial
- Inclusion Criteria of family members for qualitative interviews:
- Witnessed the daily operation of the bed mattress sensor, as advised by the participating staff
Who cannot join
- Residents who are using bed-exit alarm system, ultra low beds or ripple bed (which are not suitable to use the mattress sensor)
- None
- None
- Exclusion Criteria of care staff for qualitative interviews:
- None
- Exclusion Criteria of family members for qualitative interviews:
- None
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Efficacy of Bed Mattress Sensor for Detecting Pre-fall Activities and Preventing Bedside Falls in Elderly in Residential Setting: A Quasi-experimental Study
The study has 1 primary research question and 5 auxiliary research questions regarding the use of bed mattress sensor for detecting pre-fall activities in elderly residents in old-age home setting:
Primary research question:
- Can bedside fall incidents per 1000 bed-days be reduced comparing the 6 months before and after the installation of the bed mattress sensor system, and compared to control group? Auxiliary research questions:
- Can the length of fall-related hospital stay shortens comparing the 6 months before and after the installation of the system and compared to control group?
- What are the differences in fall characteristics comparing the 6 months before and after the installation of the system and compared to control group?
- What is the number of different types of alerts and average time to turn off the alerts of the system (proxy measure of response time of the care staff), and how are they different to bed-exit alarm system?
- What are the immediate care delivery of the staff upon the alert of the system, and how are they different to bed-exit alarm system?
- What are the views and comments from the operation staff, residents and/or their family members on the usage of the bed mattress sensor?
Read the detailed description
Study design
This is a 2-group quasi-experimental trial of comparing the outcome indicators between using the bed mattress sensor system and not using any bedside fall-prevention tools except restraints in residents living in Haven of Hope Woo Ping Care \& Attention Home. Residents with moderate to high fall risk in one floor will be allocated to the experimental group and use the bed mattress sensor system for 6 months. Concurrently, residents with moderate to high fall risk in the other floors who do not use bedside fall-prevention tools including bed-exit alarm system, and ultra low bed will join the study as control group. We will also assess how the workflow and manpower changes due to the use of the sensor.
Subjects
Residents of 4 different floors in Haven of Hope Woo Ping Care \& Attention Home will be recruited for the main analysis.
Procedures
System Installation
The system installation includes the dashboard shown in the monitor in the nursing station, sensor pad on the residents' bed, control box on the residents' bedside wall and mobile devices. The service unit and the product supplier shall discuss the installation plan.
Operation protocol preparation
A protocol including the dashboard control and related operations will be prepared for the staff.
Pilot run
The service unit will invite one eligible resident to participate in the pilot run. His/her bed will have the sensor pad installed. A designated staff in the nursing station will use the new system to get alert of pre-fall activities of the resident and provide early support of mobility. The experience will be used to revise the operation protocol.
Participants' selection
The care staff of the home will screen all residents for eligible residents with fall history in the past 12 months or with eligible Morse Fall Scale score. If the potential residents were assessed with Morse Fall Scale before 1 May 2022, Morse Fall Scale will be conducted again to update the score. In the experimental group, recruitment priority starts from those with a highest score in Morse Fall Scale until 10 participants are recruited. In recruiting suitable residents of the control group, the potential residents with similar Morse Fall Scale scores and similar profiles including gender, age, and fall history in the past 12 months to those of experimental group will be recruited. They and their family caregivers will be notified about the utilization about their fall records, and that the existing practice in fall prevention for them will not be altered during the trial. If they do not want to participate, they can notify the care staff (Opt-out participation).
Implementation
Operation
In the experimental group, the new sensor pad can detect any bed-exit activities, including stirring, sitting up, leaving, and out-of-bed. Audible message and alert to care staff can be customised in each participant. Whenever the system detects a change of bed-exit activity, an audible message will be played in the control box next to the resident's bed reminding the resident not to leave and that a care staff shall arrive shortly. Care staff at the nurse station will simultaneously receive the alert, as a sound and a visual figure on the dashboard, with the location and body position of the resident, and be prompted for a rapid and appropriate response. Care staff are allowed to customise each resident's alert settings, including time to alert and notification method.
In the control group, participants do not use any of the following bedside fall-prevention tools: bed-exit alarm system, ultra low bed, and ripple bed. The bed-exit alarm system only gives a sound alert to nurses' call-bell system when the participant completely leaves the bed. Ultra low bed reduces the fall distance and the consequent damage to the participants. Ripple bed prevents pressure ulcer.
Data collection
The University of Hong Kong (HKU) research staff who are blinded to the group allocation will search documents and coding, followed by collecting data on fall incidents and the total number of resident-bed days, 6 months before and after the adoption of the new system.
Five data sources will be accessed by the research staff before and after the system installation, including: (1) fall reports (including all fall characteristics), (2) residency reports to check the days stayed in the care home pre- and post-period for calculation of falls per 1000 bed-days; (3) hospital-stay reports including type of medical consultation and days of hospitalization; (4) the data retrieved from the bed mattress sensor system , including time in seconds for turning off the alert and number of alarms made by the system during the test period; and (5) designated log sheet for documenting immediate care delivery.
Qualitative interview will be conducted with the care staff and residents in the service units, and/or their family members to collect feedback on using the system at 2 months after the implementation and study completion.
Qualitative interview
To collect feedback towards the bed mattress sensor, the investigators will use purposive sampling to select 3-4 care staff and/or family members who witnessed the daily operation of the bed mattress sensor, and all 10 residents who will use the sensors to conduct semi-structured qualitative interviews to collect opinion on their satisfaction and perceived usability. An interview guide with open-ended and iterative questions will be used to probe for more experiences from the interviewees. Each interview will be conducted by a trained research assistant and will last about 30 minutes.
Blinding
Participants and group moderators cannot and will not be blinded to the intervention. Assessors of the follow-up outcomes and the research analysts will not be involved in the recruitment and intervention delivery, and will be blinded to the group allocation (single blindness).
Sample size determination
As 10 bed mattress sensors will be available, 10 participants will be recruited for the experimental group. To accommodate for equipment issues, all experimental group participants will reside on the same floor. To ensure that all 10 bed mattress sensors will be utilized, the floor with most potential participants will be allocated to the experimental group. All other floors will be control group. In the control group, to allow for drop-outs, a maximum of 5 more participants (i.e. 10 - 15 participants) will be recruited.
Data analyses
Main analysis
Poisson regression will be used to examine the reduction in bedside fall incidents and length of hospital stay due to the use of bed mattress sensor. Descriptive statistics will be used to analyze all other ancillary outcomes.
Qualitative interview
The interview content will be transcribed verbatim in Chinese for further analysis. The investigators will analyze the qualitative interview transcripts using framework analysis to construct a coherent and logical structure from the classification of many opinions and perceptions of the bed mattress sensor. The results will then discussed and consolidated in the panel meetings with the co-authors.
- Conditions
- Technology
- Being tested
- Bed mattress sensor system
- Keywords
- Gerontechnology, Smart Healthcare Device, Digital Health Technology
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Bed mattress sensor systemDevice
The new sensor pad can detect any bed-exit activities, including stirring, sitting up, leaving, and out-of-bed. Audible message and alert to care staff can be customised in each participant. Whenever the system detects a change of bed-exit activity, an audible message will be played in the control box next to the resident's bed reminding the resident not to leave and that a care staff shall arrive shortly. Care staff at the nurse station will simultaneously receive the alert, as a sound and a visual figure on the dashboard, with the location and body position of the resident, and be prompted for a rapid and appropriate response. Care staff are allowed to customise each resident's alert settings, including time to alert and notification method.
| Study group | Role | What they receive |
|---|---|---|
| Bed mattress sensor system | Experimental | The experimental group uses the new bed mattress sensor system for 6 months. Receives: Device: Bed mattress sensor system |
| Control Group | No intervention | In the control group, participants do not use any of the following bedside fall-prevention tools: bed-exit alarm system, ultra low bed, and ripple bed during the same 6-month period. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Numbers of bedside fall incidents 6 months before and after the installation of the system and between the two groups
The numbers of bedside fall incidents per 1000 bed-days 6 months before and after the installation of the system will be compared by retrieving data from the fall reports.
Measured: 6 months before the 6-months trial period to the end of the 6-month trial period
Secondary outcomes (7)
The length of hospital stay due to bedside fall incidents before and after the use of the system and between the two groups
The length of hospital stay shortens comparing the 6 months before and after the installation of the system will be measured by retrieving to the data on residency reports and hospital-stay reports of the participants.
Measured: 6 months before the 6-months trial period to the end of the 6-month trial period
Qualitative measure: Fall characteristics of residents before and after the use of the system and between the two groups
The content of fall characteristics in a fall report include fall incidents, time of fall, fall location, staff who witnessed, and possible reasons causing fall.
Measured: 6 months before the 6-months trial period to the end of the 6-month trial period
The number of detector alerts made by the sensor
The number of detector alerts made by the sensor will be retrieved from the sensor system
Measured: From the start to the end of the 6-month trial period
Average time in seconds to turn off the alert
The average time to turn off the alert (proxy measure of response time of the care staff) will measured by retrieving to the data from the new system and bed-exit alarm system.
Measured: every day during the 6-month trial period
The number of immediate care delivery of the staff upon the alert
The frequency of different types of immediate care delivery (e.g. assisting going to toilet, giving a cup of water) of the staff upon the alert is recorded by log sheet
Measured: From the start to the end of the 6-month trial period
Qualitative measure: Views and Comments from the operations residents and/or their family members on the usage of the pre-fall activity sensor
The residents answer the following question in a semi-structured qualitative interview:
- Do you know the usage of this stuff? (pointing at the sensing map)
- Do you know the usage of this stuff? (pointing at the control box)
- Can you explain their function with an example?
- Do you think that it can prevent you from failing? Why?
- Is it comfortable for you to sit on and lie on the mat?
- Have you ever feel uncomfortable or painful when siting on and lying on the mat?
- Do you like or dislike it?
- Do you want to continue to use it in the future?
Measured: 2 months after start of the 6-month trial period, and at the end of the 6-month trial period
Qualitative measure: Views and Comments from the operations staff on the usage of the pre-fall activity sensor
The staff answer the following question in a semi-structured qualitative interview:
- How was the connection and detection accuracy of the new system? Any false alarm?
- With the use of the new system, do you think that the number of alarms was greater than that of the old system?
- What are the changes in workflow and manpower allocation due to the use the new system?
- Was it easy to use?
- Did you expect the residents to be cooperative on the use of the new system? Were they cooperative?
- Did the use of new system affect participants' roommates and other residents?
- Do you think the new system is more helpful in fall prevention?
- Did you discover any benefits?
- What are your suggestions to the potential users?
- What are your concerns on the new system?
- Did you discover these concerns? Any unexpected problems? What are your suggestions?
- Are you satisfied with the new system? Do you want to use it in the future?
Measured: 2 months after the 6-month trial period, and the end of the 6-month trial period
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Aug 2022
- Study start16 Aug 2022
- Primary completion15 Feb 2023
- Study completion28 Feb 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for TechnologyStudies of the same condition, open and under way.
- More trials run by The University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Model description
- The care staff of the home will screen all residents for eligible residents with fall history in the past 12 months or with eligible Morse Fall Scale score. If the potential residents were assessed with Morse Fall Scale before 1 May 2022, Morse Fall Scale will be conducted again to update the score. In the experimental group, recruitment priority starts from those with a highest score in Morse Fall Scale until 10 participants are recruited. In recruiting suitable residents of the control group, the potential residents with similar Morse Fall Scale scores and similar profiles including gender, age, and fall history in the past 12 months to those of experimental group will be recruited. They and their family caregivers will be notified about the utilization about their fall records, and that the existing practice in fall prevention for them will not be altered during the trial. If they do not want to participate, they can notify the care staff (Opt-out participation).
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 26 participants (actual)
Sponsor and investigators
- Lead sponsor
- The University of Hong Kong
- Sponsor type
- University, hospital or other
- Collaborators
- Haven of Hope Hospital, The Social Innovation and Entrepreneurship Development Fund, Hong Kong
- Responsible party
- Principal investigator, Dr. Derek Yee-Tak Cheung, The University of Hong Kong
- Investigators
- Yee Tak Cheung, PhD, Principal investigator, The University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05490368
- Sponsor's protocol ID
- HKU_bedsensor_protocol_v3
- Status last verified
- Mar 2023
- First submitted
- 2 Aug 2022
- Last updated
- 6 Mar 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Research data and documentation will be available upon request.
Study at a glance
From the registry record, last updated by the sponsor on 6 Mar 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Efficacy of Bed Mattress Sensor for Detecting Pre-fall Activities and Preventing Bedside Falls in Elderly in Residential Setting: A Quasi-experimental Study
- ClinicalTrials.gov ID
- NCT05490368
- Acronym / sponsor ID
- HKU_bedsensor_protocol_v3
- Conditions
- Technology
- Keywords
- Gerontechnology, Smart Healthcare Device, Digital Health Technology
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 26 participants (actual)
- Lead sponsor
- The University of Hong KongUniversity, hospital or other
- Collaborators
- Haven of Hope Hospital, The Social Innovation and Entrepreneurship Development Fund, Hong Kong
- Study start
- 16 Aug 2022 (actual)
- Primary completion
- 15 Feb 2023 (actual)
- Study completion
- 28 Feb 2023 (actual)
- First posted
- 5 Aug 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The study has 1 primary research question and 5 auxiliary research questions regarding the use of bed mattress sensor for detecting pre-fall activities in elderly residents in old-age home setting:
Primary research question:
- Can bedside fall incidents per 1000 bed-days be reduced comparing the 6 months before and after the installation of the bed mattress sensor system, and compared to control group? Auxiliary research questions:
- Can the length of fall-related hospital stay shortens comparing the 6 months before and after the installation of the system and compared to control group?
- What are the differences in fall characteristics comparing the 6 months before and after the installation of the system and compared to control group?
- What is the number of different types of alerts and average time to turn off the alerts of the system (proxy measure of response time of the care staff), and how are they different to bed-exit alarm system?
- What are the immediate care delivery of the staff upon the alert of the system, and how are they different to bed-exit alarm system?
- What are the views and comments from the operation staff, residents and/or their family members on the usage of the bed mattress sensor?
Detailed description
Study design
This is a 2-group quasi-experimental trial of comparing the outcome indicators between using the bed mattress sensor system and not using any bedside fall-prevention tools except restraints in residents living in Haven of Hope Woo Ping Care \& Attention Home. Residents with moderate to high fall risk in one floor will be allocated to the experimental group and use the bed mattress sensor system for 6 months. Concurrently, residents with moderate to high fall risk in the other floors who do not use bedside fall-prevention tools including bed-exit alarm system, and ultra low bed will join the study as control group. We will also assess how the workflow and manpower changes due to the use of the sensor.
Subjects
Residents of 4 different floors in Haven of Hope Woo Ping Care \& Attention Home will be recruited for the main analysis.
Procedures
System Installation
The system installation includes the dashboard shown in the monitor in the nursing station, sensor pad on the residents' bed, control box on the residents' bedside wall and mobile devices. The service unit and the product supplier shall discuss the installation plan.
Operation protocol preparation
A protocol including the dashboard control and related operations will be prepared for the staff.
Pilot run
The service unit will invite one eligible resident to participate in the pilot run. His/her bed will have the sensor pad installed. A designated staff in the nursing station will use the new system to get alert of pre-fall activities of the resident and provide early support of mobility. The experience will be used to revise the operation protocol.
Participants' selection
The care staff of the home will screen all residents for eligible residents with fall history in the past 12 months or with eligible Morse Fall Scale score. If the potential residents were assessed with Morse Fall Scale before 1 May 2022, Morse Fall Scale will be conducted again to update the score. In the experimental group, recruitment priority starts from those with a highest score in Morse Fall Scale until 10 participants are recruited. In recruiting suitable residents of the control group, the potential residents with similar Morse Fall Scale scores and similar profiles including gender, age, and fall history in the past 12 months to those of experimental group will be recruited. They and their family caregivers will be notified about the utilization about their fall records, and that the existing practice in fall prevention for them will not be altered during the trial. If they do not want to participate, they can notify the care staff (Opt-out participation).
Implementation
Operation
In the experimental group, the new sensor pad can detect any bed-exit activities, including stirring, sitting up, leaving, and out-of-bed. Audible message and alert to care staff can be customised in each participant. Whenever the system detects a change of bed-exit activity, an audible message will be played in the control box next to the resident's bed reminding the resident not to leave and that a care staff shall arrive shortly. Care staff at the nurse station will simultaneously receive the alert, as a sound and a visual figure on the dashboard, with the location and body position of the resident, and be prompted for a rapid and appropriate response. Care staff are allowed to customise each resident's alert settings, including time to alert and notification method.
In the control group, participants do not use any of the following bedside fall-prevention tools: bed-exit alarm system, ultra low bed, and ripple bed. The bed-exit alarm system only gives a sound alert to nurses' call-bell system when the participant completely leaves the bed. Ultra low bed reduces the fall distance and the consequent damage to the participants. Ripple bed prevents pressure ulcer.
Data collection
The University of Hong Kong (HKU) research staff who are blinded to the group allocation will search documents and coding, followed by collecting data on fall incidents and the total number of resident-bed days, 6 months before and after the adoption of the new system.
Five data sources will be accessed by the research staff before and after the system installation, including: (1) fall reports (including all fall characteristics), (2) residency reports to check the days stayed in the care home pre- and post-period for calculation of falls per 1000 bed-days; (3) hospital-stay reports including type of medical consultation and days of hospitalization; (4) the data retrieved from the bed mattress sensor system , including time in seconds for turning off the alert and number of alarms made by the system during the test period; and (5) designated log sheet for documenting immediate care delivery.
Qualitative interview will be conducted with the care staff and residents in the service units, and/or their family members to collect feedback on using the system at 2 months after the implementation and study completion.
Qualitative interview
To collect feedback towards the bed mattress sensor, the investigators will use purposive sampling to select 3-4 care staff and/or family members who witnessed the daily operation of the bed mattress sensor, and all 10 residents who will use the sensors to conduct semi-structured qualitative interviews to collect opinion on their satisfaction and perceived usability. An interview guide with open-ended and iterative questions will be used to probe for more experiences from the interviewees. Each interview will be conducted by a trained research assistant and will last about 30 minutes.
Blinding
Participants and group moderators cannot and will not be blinded to the intervention. Assessors of the follow-up outcomes and the research analysts will not be involved in the recruitment and intervention delivery, and will be blinded to the group allocation (single blindness).
Sample size determination
As 10 bed mattress sensors will be available, 10 participants will be recruited for the experimental group. To accommodate for equipment issues, all experimental group participants will reside on the same floor. To ensure that all 10 bed mattress sensors will be utilized, the floor with most potential participants will be allocated to the experimental group. All other floors will be control group. In the control group, to allow for drop-outs, a maximum of 5 more participants (i.e. 10 - 15 participants) will be recruited.
Data analyses
Main analysis
Poisson regression will be used to examine the reduction in bedside fall incidents and length of hospital stay due to the use of bed mattress sensor. Descriptive statistics will be used to analyze all other ancillary outcomes.
Qualitative interview
The interview content will be transcribed verbatim in Chinese for further analysis. The investigators will analyze the qualitative interview transcripts using framework analysis to construct a coherent and logical structure from the classification of many opinions and perceptions of the bed mattress sensor. The results will then discussed and consolidated in the panel meetings with the co-authors.
Study design
- Primary purpose
- Prevention
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
- Model description
- The care staff of the home will screen all residents for eligible residents with fall history in the past 12 months or with eligible Morse Fall Scale score. If the potential residents were assessed with Morse Fall Scale before 1 May 2022, Morse Fall Scale will be conducted again to update the score. In the experimental group, recruitment priority starts from those with a highest score in Morse Fall Scale until 10 participants are recruited. In recruiting suitable residents of the control group, the potential residents with similar Morse Fall Scale scores and similar profiles including gender, age, and fall history in the past 12 months to those of experimental group will be recruited. They and their family caregivers will be notified about the utilization about their fall records, and that the existing practice in fall prevention for them will not be altered during the trial. If they do not want to participate, they can notify the care staff (Opt-out participation).
| Arm | Type | Receives |
|---|---|---|
| Bed mattress sensor system | Experimental | Device: Bed mattress sensor systemThe experimental group uses the new bed mattress sensor system for 6 months. |
| Control Group | No intervention | –In the control group, participants do not use any of the following bedside fall-prevention tools: bed-exit alarm system, ultra low bed, and ripple bed during the same 6-month period. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (9 listed)
- Residents with fall history in the past year, or
- Residents with Morse Fall Scale score of 25 or higher (moderate to high fall risk)
- Operate the bed sensor system (i.e. provide related care and assistance upon the alerts of the system)
- Having participated in the main trial
- Able to verbally communicate in Cantonese as perceived by the staff of the related home
Key exclusion criteria (7 listed)
- Residents who are using bed-exit alarm system, ultra low beds or ripple bed (which are not suitable to use the mattress sensor)
- None
- None
- None
- None
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Bed mattress sensor systemThe new sensor pad can detect any bed-exit activities, including stirring, sitting up, leaving, and out-of-bed. Audible message and alert to care staff can be customised in each participant. Whenever the system detects a change of bed-exit activity, an audible message will be played in the control box next to the resident's bed reminding the resident not to leave and that a care staff shall arrive shortly. Care staff at the nurse station will simultaneously receive the alert, as a sound and a visual figure on the dashboard, with the location and body position of the resident, and be prompted for a rapid and appropriate response. Care staff are allowed to customise each resident's alert settings, including time to alert and notification method. | Device | Bed mattress sensor system |
Primary outcome
Numbers of bedside fall incidents 6 months before and after the installation of the system and between the two groups
Time frame: 6 months before the 6-months trial period to the end of the 6-month trial period
The numbers of bedside fall incidents per 1000 bed-days 6 months before and after the installation of the system will be compared by retrieving data from the fall reports.
7 secondary outcomes
The length of hospital stay due to bedside fall incidents before and after the use of the system and between the two groups
Time frame: 6 months before the 6-months trial period to the end of the 6-month trial period
Qualitative measure: Fall characteristics of residents before and after the use of the system and between the two groups
Time frame: 6 months before the 6-months trial period to the end of the 6-month trial period
The number of detector alerts made by the sensor
Time frame: From the start to the end of the 6-month trial period
Average time in seconds to turn off the alert
Time frame: every day during the 6-month trial period
The number of immediate care delivery of the staff upon the alert
Time frame: From the start to the end of the 6-month trial period
Qualitative measure: Views and Comments from the operations residents and/or their family members on the usage of the pre-fall activity sensor
Time frame: 2 months after start of the 6-month trial period, and at the end of the 6-month trial period
Qualitative measure: Views and Comments from the operations staff on the usage of the pre-fall activity sensor
Time frame: 2 months after the 6-month trial period, and the end of the 6-month trial period
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 Mar 2023.
- Individual participant dataSharing planned: Yes. Research data and documentation will be available upon request.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Yee Tak Cheung, PhD principal investigator
The University of Hong Kong
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Bed mattress sensor system in people with Technology, run by The University of Hong Kong at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 6 Mar 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Numbers of bedside fall incidents 6 months before and after the installation of the system and between the two groups (time frame: 6 months before the 6-months trial period to the end of the 6-month trial period). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 Mar 2023.