The objective of this pilot study is to test the accuracy of the fall-prevention module of the BRAVO-EagleEye. This is done by comparing the alerts generated by the system with the observations of the nurses of the particular ward.
ID
Source
Brief title
Condition
- Other condition
Synonym
Health condition
ongevallen en verwondingen (vallen)
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
The accuracy, sensitivity and specificity of the system. (Accuracy is the
percentage of correctly detected falls: falls that could have been detected
before the fall occurred based on the behaviour of the patient. Sensitivity and
specificity also take into account the false positives and false negatives).
In addition, the (subjective) evaluation of the system by the nurses and the
number of positive examples of when a fall was prevented by the nurses
responding to the fall prevention alert.
Secondary outcome
n.a.
Background summary
Fall incidence among older adults during hospital admittance is a major
problem, also in the AMC. The reliability of detecting falls is improving with
the current advances in monitoring technology with environmental sensors and
learning algorithms.
However, there is a great demand for a reliable fall prevention system: to
alert the nurses just before a patient is about to fall. When using such a
system, injuries and other negative side effects of falls can be prevented.
By analysing the behavioural movement patterns in the period just before a
person fell, the kinematic parameters relevant to make a fall risk assessment
can be identified. These parameters, that will be previously obtained in a
observational pilot study in the BRAVO project, can directly be used for fall
prevention.
Study objective
The objective of this pilot study is to test the accuracy of the
fall-prevention module of the BRAVO-EagleEye. This is done by comparing the
alerts generated by the system with the observations of the nurses of the
particular ward.
Study design
In this intervention pilot study, the effectiveness of the fall prevention
module of the BRAVO-EagleEye is tested. This sensor can generate several types
of raw data, but also has a fall detection and a fall prevention module
(developed in a previous BRAVO pilot).
Study burden and risks
The burden on the subjects is very low (in terms of the examples given above).
Administering the fall risk questionnaire will take about 10 min., but that is
already common practice at the AMC for patients suspected of an increased risk
of falls.
Participants also have to consent to storage and use of their data. The
EagleEye optical sensor generates video data, and different types of data
derived from that (such as the location or posture of the person). This data
will be stored and processed independently of the personal data, to facilitate
anonymization. The raw video data will be destroyed 3 months after the end of
the project (section 10 of this protocol provides the arguments for this
decision).
There are no risks associated with participating in this study. Participants
could benefit from the study if potential falls are prevented by the system.
Meibergdreef 9
Amsterdam 1105 AZ
NL
Meibergdreef 9
Amsterdam 1105 AZ
NL
Listed location countries
Age
Inclusion criteria
increased risk of falling
admitted to neurological or geriatric ward
Exclusion criteria
No consent
Design
Recruitment
Medical products/devices used
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
| Register | ID |
|---|---|
| CCMO | NL59754.018.16 |