Deans' stroke musings: Factors associated with community versus personal care home discharges after inpatient stroke rehabilitation: The need for a pre-admission predictive model

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.

Friday, May 15, 2020

Factors associated with community versus personal care home discharges after inpatient stroke rehabilitation: The need for a pre-admission predictive model

You only need to do this because your hospital was a COMPLETE FUCKING FAILURE IN GETTING YOU 100% RECOVERED. Everyone should go directly home and if needed with exact protocols to finish the 100% recovery.

Factors associated with community versus personal care home discharges after inpatient stroke rehabilitation: The need for a pre-admission predictive model

Topics in Stroke Rehabilitation , Volume 27(3) , Pgs. 173-180.

NARIC Accession Number: J83476. What's this?
ISSN: 1074-9357.
Author(s): Wasserman, Alexander ; Thiessen, Michelle ; Pooyania, Sepideh.
Publication Year: 2020.
Number of Pages: 8.

Abstract:

Study identified the pre-stroke rehabilitation admission factors that best predict discharge to personal care home (PCH) versus to the community. Using a retrospective case-control, chart review design, 60 patients discharged to PCH from inpatient stroke rehabilitation between 2008 and 2017 were included. One hundred eighty-two patients discharged home over the same time span were randomly selected as controls. Statistical analysis was used to identify patient factors independently associated with discharge destination. The results indicated that patients were more often discharged to a PCH if they were older, had a lower Functional Independence Measure (FIM) score, had cognitive deficits, lived alone before their stroke, and there was excessive truncal instability limiting Berg Balance Scale (BBS) measurability. Combined, the predictive value of PCH discharge using these variables was 91.6 percent. The results suggest that a combination of age, admission FIM, cognitive impairment, pre-stroke living situation, and measurability of the BBS on admission to stroke rehabilitation were highly predictive of eventual PCH discharge.
Descriptor Terms: CAREGIVERS, CLIENT CHARACTERISTICS, COMMUNITY LIVING, DEMOGRAPHICS, FACILITIES, HOME CARE, LONG TERM CARE, OUTCOMES, PERSONAL ASSISTANCE SERVICES, PREDICTION, STROKE.

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

Citation: Wasserman, Alexander , Thiessen, Michelle , Pooyania, Sepideh. (2020). Factors associated with community versus personal care home discharges after inpatient stroke rehabilitation: The need for a pre-admission predictive model. Topics in Stroke Rehabilitation , 27(3), Pgs. 173-180. Retrieved 5/15/2020, from REHABDATA database.