Deans' stroke musings

Changing stroke rehab and research worldwide now.Time is Brain!Just think of all the trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 493 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It's quite disgusting that this information is not available from every stroke association and doctors group.
My back ground story is here:

Saturday, September 10, 2016

A novel approach to falls classification in Parkinson’s disease: Development of the Fall-Related Activity Classification (FRAC)

Does your therapist have a fall classification system for stroke? If not, how the hell can s/he use the correct fall prevention protocol on you? This is so fucking simple, you objectively get your fall risks classified and then use the correct protocols to work on prevention.
1. Have dropfoot - Use dropfoot protocol 1,2, or 3 depending on how well you can dorsiflex.
2. Ankle rolls - Use ankle rolling protocol 1 or 2 depending on whether it rolls inward or outward.
3. Has pusher syndrome - Use pusher protocol 1 or 2 depending on whether you have ability to resist.
4. Bad foot catches on good ankle on follow through - Use inner catch protocol 1 or 2.
5. Falls over while standing still - Use ankle sway protocol or hip sway protocol.
6. Falls in transitioning from sitting to standing- Use sit to stand protocol.
7. Falls in transitioning from standing to sitting - Use stand to sit protocol.
8. etc., etc. etc.
Of course none of these protocols exist  but they all should if we had any therapist leaders at all driving survivor rehabilitation. Whatever was learned in college is not enough to get survivors rehabbed. As proven by the absolutely pathetic full recovery rate of 10%.
But Parkinsons is here, read it and weep.



Falls are a major problem for people with Parkinson's disease (PD). Despite years of focused research knowledge of falls aetiology is poor. This may be partly due to classification approaches which conventionally report fall frequency. This nosology is blunt, and does not take into account causality or the circumstances in which the fall occurred. For example, it is likely that people who fall from a postural transition are phenotypically different to those who fall during high level activities. Recent evidence supports the use of a novel falls classification based on fall related activity, however its clinimetric properties have not yet been tested.


This study describes further development of the Fall-Related Activity Classification (FRAC) and reports on its inter-rater reliability (IRR).


Descriptors of the FRAC were refined through an iterative process with a multidisciplinary team. Three categories based on the activity preceding the fall were identified. PD fallers were categorised as: 1) advanced 2) combined or 3) transitional. Fifty-five fall scenarios were rated by 23 raters using a standardised process. Raters comprised 3 clinical subgroups: 1) physiotherapists, 2) physicians, 3) non-medical researchers. IRR analysis was performed using weighted kappa coefficients and included sub group analysis based on clinical speciality.


Excellent agreement was reached for all clinicians, κ = 0.807 (95%CI 0.732-0.870). Clinical subgroups performed similarly well (range of κ = 0.780 - 0.822).


The FRAC can be reliably used to classify falls. This may discriminate between phenotypically different fallers and subsequently strengthen falls predictors in future studies.

To access this article, please choose from the options below

Log In

Purchase access to this article

Claim Access

If you are a current subscriber with Society Membership or an Account Number, claim your access now.

Subscribe to this title

Purchase a subscription to gain access to this and all other articles in this journal.

Institutional Access

Visit ScienceDirect to see if you have access via your institution.

No comments:

Post a Comment