Deans' stroke musings: Predictors of return to driving after stroke

Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 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:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. 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 lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Thursday, December 12, 2013

Predictors of return to driving after stroke

And still these researchers don't know how to define cause and effect. The proper way to do this to make it repeatable would be to describe the damaged areas and correlate them to the specific needs in driving. That would be difficult but damn it all, I don't give a shit how difficult it is for those normals.
Do it the right way or go into a different line of work.

Predictors of return to driving after stroke

American Journal of Physical Medicine and Rehabilitation , Volume 92(7) , Pgs. 627-634.

NARIC Accession Number: J66837. What's this?
ISSN: 0894-9115.
Author(s): Aufman, Elyse L.; Bland, Marghuretta D.; Barco, Peggy P.; Carr, David B.; Lang, Catherine E..
Publication Year: 2013.
Number of Pages: 8.
Abstract: Study identified patient factors present at admission to an inpatient rehabilitation hospital that can be used to identify which patients who have had acute stroke will and will not return to driving. One hundred ninety-eight participants were divided into 3 groups: those who returned to driving (returners), those who had not returned to driving (non-returners), and those who were not driving before their stroke (non-drivers). After comparing returners and non-returners on demographic and clinical characteristics, a logistic regression model with return to driving as the outcome variable was built using the backward stepwise method. Forty-eight of the 156 patients (31 percent) who had been driving before their stroke returned to driving 6 months after stroke. The final regression model, using Functional Independence Measure (FIM) cognition and lower-extremity Motricity Index scores, predicted the driving outcome with an accuracy of 75 percent. The findings suggest that patients with lower FIM cognition and lower-extremity Motricity Index scores at admission to inpatient rehabilitation are less likely to return to driving at 6 months. This model could be used by rehabilitation professionals to help counsel patients and their families and focus treatment goals.
Descriptor Terms: CLIENT CHARACTERISTICS, DRIVING, MOTOR VEHICLES, OUTCOMES, PREDICTION, STROKE.

Can this document be ordered through NARIC's document delivery service*?: Y.