Conditions Influencing Health Status Clinical Trial
Official title:
Physical Examination for Health Management in Elderly
Aging usually results in a decline in motor function. However, the elderly tend to refuse the regular health examination because of travel issues or lack of self-health awareness. Examination unit also has difficulty to intensively track and instant feedback on the health status of the elderly due to insufficient manpower. If the elderly go to the hospital only when the health problem is getting worse, his/her health is often irreversible and the cost of medical care would be increased. It is therefore an essential issue for the early detection of functional changes in the elderly to prevent the deterioration of the health and function. Currently, the telemedicine cares provided by hospitals are not universal due to the out-of-date legislation and non-successful business model. The wearing and operation issues of the wearable devices used for health management are still a gap affecting the acceptance of the elderly. Accordingly, the objective of this project is to develop a handy and easy-to-use smart physical examination system for the elderly. With the use of motion-sensing and big data analysis technology, the non-contact professional and intelligent assessment could simplify the general health checkup procedures to promote the health management and to reduce the manpower cost of health care. The ultimate goal is to realize a commercial product aiming at the silver hair market with functional advantages to meet the unmet needs of health management in the elderly.
[Introduction] Aging usually results in a decline of motor function. However, elderly tends
to refuse the regular health examination because of travel issues or lack of self-health
awareness. Examination unit also has difficulty to intensively track and instantly feedback
the health status of elderly due to insufficient manpower. If elderly goes to the hospital
only when the health problem is getting worse, his/her health is often irreversible and the
cost of medical care would be increased. It is therefore an essential issue for the early
detection of functional changes in elderly to prevent the deterioration of the health and
function. Currently, the telemedicine cares provided by hospitals are not universal due to
the out-of-date legislation and non-successful business model. The wearing and operation
issues of the wearable devices used for health management are still a gap affecting the
acceptance of elderly. Accordingly, the objective of this project is to develop a handy and
easy-to-use smart physical examination system targeted on the unmet need of the elderly. With
the use of motion-sensing and big data analysis technology, the non-contact professional and
intelligent assessment could simplify the general health checkup procedures to promote the
health management and to reduce the manpower cost of health care. The ultimate goal is to
realize a commercial product aiming at the silver hair market with functional advantages to
meet the unmet needs of health management in elderly.
In this study, a new type of home-based health assessment platform will be proposed. The main
purpose is to help the elderly who may not be able to go to the hospital or health unit for
regular health check because of inconvenience to physical activity. The current health
assessment mode is also insufficient because Human and resource could not provide a more
intensive frequency of health testing. The physical condition of the elderly may rapidly
decline into a systemic disability due to some minor diseases. Therefore, the current limited
resource inspection mode cannot effectively monitor and recover the elderly's physical
condition. The home-based health assessment platform developed in this study can evaluate the
user's health status in hospitals, communities, or home environments. The non-contact
evaluation method allows users to start testing without wearing any device, which can
effectively improve The user's acceptance of health testing and rapid grading of the user's
health will also help to further design a personalized rehabilitation training program in the
future.
[Method]
Subject:
Inclusion criteria: 1) aged between 55-85 years old. 2) normal upper extremity function. 3)
walk for at least 10 meters without help.
Exclusion criteria: 1) any disease that could affect balance. 2) deficits in vision or
hearing. 3) mental issues preclude from the understanding of the protocol.
Protocol:
1. Basic information: including gender, age, height, leg length, weight, medical history,
medication, etc.
2. Clinical functional assessment: The results of following tests evaluated by the
Kinect-based health management platform will be compared with those of the physical
examination conducted by experts such as clinicians and therapists.
i. Flexibility test: The subjects sit in a chair with no backrest and backrest. One foot
bent stably on the ground and one foot extended forward (knee joint must be straight).
The heel hits the ground and the foot was in neutral position. They are then asked to
overlap the hands and straighten the upper body forward slowly, trying to touch the toes
in the middle pointing and holding for 2 seconds. The distance between the middle finger
and the toes is then measured. The test are repeated twice and the better measured value
will be recorded.
ii. Endurance test: evaluated by the 2-minute stepping test. iii. Muscle strength: Upper
limb strength is assessed using a 30-second arm curl test. And the lower limb strength
is assessed by the 30-second sit-to-stand test.
iv. Balance test: The subjects are asked to stand on the force plate looking straight
ahead with feet in shoulder width. There are two kinds of standing test situations: i)
single leg standing for a maximum of 60 seconds; ii) forward reaching as the arms
straight and parallel to the ground and remain in the maximum extended position for two
seconds.
v. Questionnaire: EuroQOL-5D will be used to evaluate their quality of life.
3. Data analysis: The concurrent validity of the Kinect-based health management platform
will be analyzed by the Pearson Correlation. And the balance parameters will be
evaluated by the movement of center of the pressure.
4. Adverse reactions and management: All the tests are non-invasive, so we won't expect any
major side effects. If the patient feels uncomfortable or feels dizzy during the fitness
test, he can stop the test, lie down and rest at any time, and the on-site medical staff
will monitor their breathing, heartbeat, and blood pressure to assess whether additional
treatment is required.
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