Deans' stroke musings: Functional Performance and Discharge Setting Predict Outcomes 3 Months After Rehabilitation Hospitalization for 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.

Monday, March 16, 2020

Functional Performance and Discharge Setting Predict Outcomes 3 Months After Rehabilitation Hospitalization for Stroke

Survivors don't care about predictions, they want rehab interventions that lead to recovery results. DO THE DAMN RESEARCH THAT WILL GET THERE. Not this lazy prediction crapola. Have you ever talked to patients about what they want? I would have you all fired, including your mentors and senior researchers.

MelodyLeeMD*Ryan J.LennonMS^†Paulette M.NiewczykPhD, MPH^‡

https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.104746 Get rights and content

Abstract

Background

Some clinical features of patients after stroke may be modifiable and used to predict outcomes. Identifying these features may allow for refining plans of care and informing estimates of posthospital service needs. The purpose of this study was to identify key factors that predict functional independence and living setting 3 months after rehabilitation hospital discharge by using a large comprehensive national data set of patients with stroke.

Methods

The Uniform Data System for Medical Rehabilitation was queried for the records of patients with a diagnosis of stroke who were hospitalized for inpatient rehabilitation from 2005 through 2007. The system includes demographic, administrative, and clinical variables collected at rehabilitation admission, discharge, and 3-month follow-up. Primary outcome measures were the Functional Independence Measure score and living setting 3 months after rehabilitation hospital discharge.

Results

The sample included 16,346 patients (80% white; 50% women; mean [SD] age, 70.3 [13.1] years; 97% ischemic stroke). The strongest predictors of Functional Independence Measure score and living setting at 3 months were those same factors at rehabilitation discharge, despite considering multiple other predictor variables including age, lesion laterality, initial neurologic impairment, and stroke-related comorbid conditions.

Conclusions

These data can inform clinicians, patients with stroke, and their families about what to expect in the months after hospital discharge. The predictive power of these factors, however, was modest, indicating that other factors may influence postacute outcomes. Future predictive modeling may benefit from the inclusion of educational status, socioeconomic factors, and brain imaging to improve predictive power.

Key Words

Community

nursing home

outcome

rehabilitation

Abbreviation

FIM

Functional Independence Measure

ICD-9-CM

International Classification of Diseases

9th edition

Clinical Modification

UDSMR

Uniform Data System for Medical Rehabilitation

Deans' stroke musings