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.

Showing posts with label discharge destination. Show all posts
Showing posts with label discharge destination. Show all posts

Wednesday, June 14, 2023

Predictors of Discharge Destination After Stroke

NO, NO, NO! Predicting discharge destination is fucking useless to survivors. They want recovery. DO THE GODDAMNED RESEARCH THAT DELIVERS RECOVERY. Not this useless crapola.I'd have you all fired for incompetence including your mentors and senior researchers.

 

Predictors of Discharge Destination After Stroke

Abstract

Background

Determining the discharge destination after acute stroke care is important to prevent long-term disabilities and improve cost efficiency.

Objective

The aim of this study was to investigate where stroke patients are discharged to after acute treatment and to identify personal, social, stroke-related, and clinical predictors of discharge destination.

Methods

The present study included a secondary exploratory analysis of a prospective observational study. Patients with acute ischemic stroke, transient ischemic attack, or intracerebral hemorrhage were recruited consecutively over a 15-month period. A hierarchical multinomial logistic regression was performed to identify predictors of the primary outcome of discharge destination.

Results

We included 1026 stroke patients (48.7% female) with a mean age of 73.3 years (standard deviation 12.9 years) in the analysis. Overall, 55% of the patients were discharged home, 33% to a rehabilitation center, 3% to a residential facility, and 8% to another acute care hospital. Predictors that statistically significantly influenced the odds of the discharge destination were age, living situation pre-stroke, living location pre-stroke, stroke type, stroke severity, treatment type, and length of stay. Higher stroke severity was associated with discharge to all four inpatient facilities.

Conclusions

In line with previous research, predictors such as stroke severity and living situation pre-stroke significantly influenced the odds of the discharge destination. In contrast, pre-existing conditions and functional impairment pre-stroke had no significant impact on the primary outcome. This discrepancy could be due to a rather functional study sample before stroke and the use of clinical and patient-reported outcome measures.

Introduction

People aged 25 and above have a 25% global lifetime risk of suffering from stroke which is associated with long-term consequences and causes disabilities such as motor control impairments, cognitive and language impairments, and emotional disturbances.1–5
Inpatient or outpatient rehabilitative care follows acute stroke care. As patients are affected to varying degrees by disabilities after stroke, the type of follow-up care needed differs.6 For follow-up care, timely discharge to rehabilitation facilities or home with outpatient care has been shown to improve patients’ chances of recovery.7,8 In contrast, a rapid discharge without previous discharge arrangements is often associated with discontinued care and a delay in discharge is associated with increased mortality.8,9 Additionally, finding appropriate follow-up care strongly impacts the time and cost-efficiency of stroke care, which is important considering limited time resources at the hospital and high stroke care costs.9,10
In their review, Thorpe et al11 revealed that a discharge home becomes more likely with a better outcome on scoring systems for the assessment of acute stroke such as the National Institutes of Health Stroke Scale (NIHSS).12 However, they concluded that outcome measures are not sufficient to predict discharge destination. Patients with low performance scores were more likely to be discharged to rehabilitation, and patients with high performance scores were more likely to be discharged home, but discharge destination could not be predicted well for patients with mid-range scores.11 In these cases, additional factors are needed to enable the prediction of the discharge destination. In another review, support at home, living with others, being married, and living at home before stroke onset indicated a greater likelihood of a discharge home.13 Moreover, while the impact of age and sex was less clear, a better pre-stroke functional and post-stroke cognitive status increased the likelihood of being discharged home.14 In conclusion, different reviews recommend further research on age, sex, type of stroke, patient-specific biopsychosocial factors, other stroke-specific outcome measures, and global socioenvironmental determinants.11,13-15
Therefore, we aimed to assess where stroke patients are discharged after acute treatment and to identify personal, pre-stroke, stroke-related, and clinical predictors of discharge destination.
 
More at link.

Monday, May 22, 2023

Inpatient Rehabilitation After Acute Severe Stroke: Predictive Value of the National Institutes of Health Stroke Scale Among Other Potential Predictors for Discharge Destination

NO, NO, NO! Predicting discharge destination is fucking useless to survivors. They want recovery. DO THE GODDAMNED RESEARCH THAT DELIVERS RECOVERY. Not this useless crapola.

Inpatient Rehabilitation After Acute Severe Stroke: Predictive Value of the National Institutes of Health Stroke Scale Among Other Potential Predictors for Discharge Destination

Sinikka Tarvonen-Schröder1,2 , Tuuli Niemi1,2,3 and Mari Koivisto1,2,4
1Neurocenter, Turku University Hospital, Turku, Finland. 2 Department of Clinical Neurosciences,
University of Turku, Turku, Finland. 3 Department of Expert Services, Turku University Hospital,
Turku, Finland. 4 Department of Biostatistics, University of Turku, Turku, Finland.

ABSTRACT

BACKGROUND: Research focusing on predictors for discharge destination after rehabilitation of inpatients recovering from severe stroke is scarce. The predictive value of rehabilitation admission NIHSS score among other potential predictors available on admission to rehabilita-
tion has not been studied.
AIM: The aim of this retrospective interventional study was to determine the predictive accuracy of 24 hours and rehabilitation admission NIHSS scores among other potential socio-demographic, clinical and functional predictors for discharge destination routinely collected on
admission to rehabilitation. 
MATERIAL AND METHODS: On a university hospital specialized inpatient rehabilitation ward 156 consecutive rehabilitants with 24 hours NIHSS score ⩾15 were recruited. On admission to rehabilitation, routinely collected variables potentially associated with discharge destination (community vs institution) were analyzed using logistic regression.
RESULTS: 70 (44.9%) of rehabilitants were discharged to community, and 86 (55.1%) were discharged to institutional care. Those dis-
charged home were younger and more often still working, had less often dysphagia/tube feeding or DNR decision in the acute phase,
shorter time from stroke onset to rehabilitation admission, less severe impairment (NIHSS score, paresis, neglect) and disability (FIM score,
ambulatory ability) on admission, and faster and more significant functional improvement during the in-stay than those institutionalized.
CONCLUSION: The most influential independent predictors for community discharge on admission to rehabilitation were lower admission
NIHSS score, ambulatory ability and younger age, NIHSS being the most powerful. The odds of being discharged to community decreased
with 16.1% for every 1 point increase in NIHSS. The 3-factor model explained 65.7% of community discharge and 81.9% of institutional dis-
charge, the overall predictive accuracy being 74.7%. The corresponding figures for admission NIHSS alone were 58.6%, 70.9% and 65.4%.
KEYW
ORDS: Discharge destination, National Institutes of Health Stroke Scale, predictor, rehabilitation, stroke
ReCeIVeD: December 7, 2022. ACCePTeD: January 25, 2023.
TyPe: Original Research
FuNDINg: The author(s) received no financial support for the research, authorship, and/or
publication of this article.
DeClARATION OF CONFlICTINg INTeReSTS: The author(s) declared no potential
conflicts of interest with respect to the research, authorship, and/or publication of this
article.
CORReSPONDINg AuTHOR: Sinikka Tarvonen-Schröder, Neurocenter, Turku University
Hospital, PO Box 52, Turku, FIN 20521, Finland. Email: sinikka.tarvonen-schroder@tyks.fi.

Wednesday, April 19, 2023

Predictors of Discharge Destination After Stroke

So they've given up on even trying to get survivors recovered to return home.  Tyranny of low expectations in full display here, hope you're OK with not recovering.

Predictors of Discharge Destination After Stroke


Abstract

Background

Determining the discharge destination after acute stroke care is important to prevent long-term disabilities and improve cost efficiency.

Objective

The aim of this study was to investigate where stroke patients are discharged to after acute treatment and to identify personal, social, stroke-related, and clinical predictors of discharge destination.

Methods

The present study included a secondary exploratory analysis of a prospective observational study. Patients with acute ischemic stroke, transient ischemic attack, or intracerebral hemorrhage were recruited consecutively over a 15-month period. A hierarchical multinomial logistic regression was performed to identify predictors of the primary outcome of discharge destination.

Results

We included 1026 stroke patients (48.7% female) with a mean age of 73.3 years (standard deviation 12.9 years) in the analysis. Overall, 55% of the patients were discharged home, 33% to a rehabilitation center, 3% to a residential facility, and 8% to another acute care hospital. Predictors that statistically significantly influenced the odds of the discharge destination were age, living situation pre-stroke, living location pre-stroke, stroke type, stroke severity, treatment type, and length of stay. Higher stroke severity was associated with discharge to all four inpatient facilities.

Conclusions

In line with previous research, predictors such as stroke severity and living situation pre-stroke significantly influenced the odds of the discharge destination. In contrast, pre-existing conditions and functional impairment pre-stroke had no significant impact on the primary outcome. This discrepancy could be due to a rather functional study sample before stroke and the use of clinical and patient-reported outcome measures.

Introduction

People aged 25 and above have a 25% global lifetime risk of suffering from stroke which is associated with long-term consequences and causes disabilities such as motor control impairments, cognitive and language impairments, and emotional disturbances.1–5
Inpatient or outpatient rehabilitative care follows acute stroke care. As patients are affected to varying degrees by disabilities after stroke, the type of follow-up care needed differs.6 For follow-up care, timely discharge to rehabilitation facilities or home with outpatient care has been shown to improve patients’ chances of recovery.7,8 In contrast, a rapid discharge without previous discharge arrangements is often associated with discontinued care and a delay in discharge is associated with increased mortality.8,9 Additionally, finding appropriate follow-up care strongly impacts the time and cost-efficiency of stroke care, which is important considering limited time resources at the hospital and high stroke care costs.9,10
In their review, Thorpe et al11 revealed that a discharge home becomes more likely with a better outcome on scoring systems for the assessment of acute stroke such as the National Institutes of Health Stroke Scale (NIHSS).12 However, they concluded that outcome measures are not sufficient to predict discharge destination. Patients with low performance scores were more likely to be discharged to rehabilitation, and patients with high performance scores were more likely to be discharged home, but discharge destination could not be predicted well for patients with mid-range scores.11 In these cases, additional factors are needed to enable the prediction of the discharge destination. In another review, support at home, living with others, being married, and living at home before stroke onset indicated a greater likelihood of a discharge home.13 Moreover, while the impact of age and sex was less clear, a better pre-stroke functional and post-stroke cognitive status increased the likelihood of being discharged home.14 In conclusion, different reviews recommend further research on age, sex, type of stroke, patient-specific biopsychosocial factors, other stroke-specific outcome measures, and global socioenvironmental determinants.11,13-15
Therefore, we aimed to assess where stroke patients are discharged after acute treatment and to identify personal, pre-stroke, stroke-related, and clinical predictors of discharge destination.
 
More at link.

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.

Wednesday, February 20, 2019