2007
DOI: 10.1016/j.annrmp.2006.06.005
|View full text |Cite
|
Sign up to set email alerts
|

A model for predicting delay in discharge of stroke patients

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2009
2009
2017
2017

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 33 publications
0
3
0
Order By: Relevance
“…Social factors and supports are important considerations in rehabilitation assessments. Patients with stronger family, social and financial supports have better rehabilitation outcomes [47,48] and are less likely to be discharged to institutionalized care [5,10,49].…”
Section: Social Factorsmentioning
confidence: 99%
“…Social factors and supports are important considerations in rehabilitation assessments. Patients with stronger family, social and financial supports have better rehabilitation outcomes [47,48] and are less likely to be discharged to institutionalized care [5,10,49].…”
Section: Social Factorsmentioning
confidence: 99%
“…[19] The family and social support available to a patient. [20] Home adaptation and/or assistive technology support available to the patient. [20] Decisions relating to potential to benefit from rehabilitation are often based on simple models that consider a small subset of the above factors.…”
Section: Introductionmentioning
confidence: 99%
“…[20] Home adaptation and/or assistive technology support available to the patient. [20] Decisions relating to potential to benefit from rehabilitation are often based on simple models that consider a small subset of the above factors. Common measures that are used to guide such decisions include the severity of the stroke, as assessed by standardized assessments such as the Barthel Index [21] or the Functional Independence Measure, [22] the site and size of the lesion, premorbid health and abilities.…”
Section: Introductionmentioning
confidence: 99%