Study Objectives Objective 1: Compare the fall risk assessment results between balance sensors, traditional tests, and clinical diagnoses. Objective 2: Improve the feasibility of using sensors to assess fall risk among older patients in the hospital. The investigators select Hong Kong as the region for the experiment. Specifically, the community clinics and daytime hospitals are the actual onsite locations for experimenting. The specific venues of these locations need an electrical power supply and a flat ground for conducting the device test. Patients will be recruited for the development and testing of a device for fall risk assessment, study participants will be involved in balancing assessments, and questionnaire surveys, their medical records will be accessed. And during these tests and questionnaire surveys, the investigators will take photos, videos, and or audio recordings.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DEVICE_FEASIBILITY
Masking
NONE
Enrollment
20
Participants will engage in the device test, clinical assessment tests. The whole test will last twelve months, and the outcome will be assessed pre- and post-implementation for comparison and validation. The intervention results are used to compared with traditional tests and clinical diagnosis, to identify whether the sensor provides a higher accuracy in predicting fall risk, and to explore the feasibility of the sensor in clinical scenarios.
The University of Hong Kong
Hong Kong, Hong Kong, Hong Kong
Precision assessment of falling risk prediction
A primary outcome is the precision assessment of falling risk prediction both from device and clinical diagnose. The specific measurement variables for this primary outcome are the classification results of high/low falling risk based on the results (a composite result) of the device test and participants' actual falling incident indicators, including the number of falls, the severity of falling incidents after the device test, and medical history of the participants (eg. the history of the emergency, surgery, and diagnosed disease in the past three years), as well as the diagnosis results of the fall risk by clinical professionals. These results can be shown through the sensitivity and specificity analysis of the device evaluation.
Time frame: six months
Feasibility of fall risk assessment by using balance sensor in clinical settings
The secondary outcome is the specific fall risk results given by the device and the participant's body data measurement, demographic information, and survey data about user experience and adoption. Additionally, the ideas from clinical professionals on the better application of the device in hospitals will also be regarded as the secondary outcome of this study.
Time frame: six months
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