What are the outcome measures that determine if the patient eligible for 3 D gait analysis or not?
For example if the patient must be able to walk independently or must has good cognitive ability, so what is the outcome measure by which I can accept the patient for gait analysis using evidence based practice.
Well, the patient should be able to walk independently is recommended. However, you do have options for analyzing gait data when it has been recorded with patients using walkers for gait assistance. I f you are planning to conduct a study per see, you should definitely have some inclusion and exclusion criteria along with the particular cohort of patients in mind that you want to study.
Amitabh Bhattacharya
Thank you for your reply, I appreciate that.
So I need any evidence based article to support or deny the following general situations in which the gait analysis is not recommended like :
1_ Patient unable to walk independently.
2_ Are overweight, because the movement of thick Subcutaneous tissue gives rise to unavoidable measurement errors in joint range of motion 3_ Use the assistive devices for mobility: rolling walker, walker, etc. 4_Get tired very easily (in less than 30 min) and have to lay down to rest 5_Are mentally unstable 6_Are mentally challenged and therefore not able to understand what is happening to them
I am not sure that you need an article providing evidence, I would say that you need and should apply common sense! With clinical gait analysis, you want to HELP PATIENTS in their conditions which may be impaired in some way.
If a patient is not able to walk far/long/independently enough to fulfill your requirements for gait analysis (depends to some degree on your lab situation, i.e. how far to walk, how many trials...) it might not be ethical to 'force' him/her through the procedures as you might do more harm than help by applying your technology. So you should look at the potential benefits against the risks imposed by the gait analysis.
Of course, you can and should adapt to the patient by shortening the walking distance, allow rest period, using less trials and similar measures in order to reduce the burden. Whatever you do, you should keep it in mind when you analyze the data and report it later, in order not to over-interpret is under the given circumstances.
So in essence, there is no easy cook-book or recipe advice but you have to decide based on the patient and situation.
- Badges
- Science topic
- Similar topics
- Computer Science
- Research Topics