Supplemental material
Topics in Stroke Rehabilitation
Volume 27, 2020 - Issue 6
Open access
2,542
Views
7
CrossRef citations to date
0
Altmetric
Research Article
Development and validation of a prediction model for home discharge in patients with moderate stroke: The Korean stroke cohort for functioning and rehabilitation study
Min-Su Kima Department of Rehabilitation Medicine, Wonkwang University School of Medicine, Iksan, Republic of Korea
https://orcid.org/0000-0001-9954-1445View further author information
Min Cheol Jooa Department of Rehabilitation Medicine, Wonkwang University School of Medicine, Iksan, Republic of KoreaCorrespondence[email protected]
https://orcid.org/0000-0003-2778-4194View further author information
Min Kyun Sohnb Department of Rehabilitation Medicine, School of Medicine, Chungnam National University, Daejeon, Republic of KoreaView further author information
, Jongmin Leec Department of Rehabilitation Medicine, Konkuk University School of Medicine, Seoul, Republic of KoreaView further author information
, Deog Young Kimd Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of KoreaView further author information
, Sam-Gyu Leee Department of Physical and Rehabilitation Medicine, Chonnam National University Medical School, Gwangju, Republic of KoreaView further author information
, Yong-Il Shinf Department of Rehabilitation Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Busan, Republic of KoreaView further author information
, Soo-Yeon Kimf Department of Rehabilitation Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Busan, Republic of KoreaView further author information
, Gyung-Jae Ohg Department of Preventive Medicine, Wonkwang University, School of Medicine, Iksan, Republic of KoreaView further author information
, Yang-Soo Leeh Department of Rehabilitation Medicine, Kyungpook National University School of Medicine, Kyungpook National University Hospital, Daegu, Republic of KoreaView further author information
, Eun Young Hani Department of Rehabilitation Medicine, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Republic of KoreaView further author information
, Junhee Hanj Department of Statistics, Hallym University, Chuncheon, Republic of Korea
https://orcid.org/0000-0001-5736-8752View further author information
Jeonghoon Ahnk Department of Health Convergence, Ewha Womans University, Seoul, Republic of Korea
https://orcid.org/0000-0002-0177-0192View further author information
Won Hyuk Changl Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of KoreaView further author information
, Yun-Hee Kiml Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of KoreaCorrespondence[email protected]
View further author information
, View further author information
Ji Yoo Choim Korea Centers for Disease Control and Prevention, Division of Chronic Disease Prevention,Center for DiseaseView further author information
, Sung Hyun Kangm Korea Centers for Disease Control and Prevention, Division of Chronic Disease Prevention,Center for DiseaseView further author information
& Young Taek Kimm Korea Centers for Disease Control and Prevention, Division of Chronic Disease Prevention,Center for DiseaseView further author information
show all
Pages 453-461
|
Received 22 May 2019, Accepted 26 Dec 2019, Published online: 15 Jan 2020
Related Research Data
Using Functional Status in the Acute Hospital to Predict Discharge Destination for Stroke Patients.
Source:
Ovid Technologies (Wolters Kluwer Health)
Assessment of Home-Time After Acute Ischemic Stroke in Medicare Beneficiaries
Source:
Ovid Technologies (Wolters Kluwer Health)
Poststroke Discharge Destination: Functional Independence and Sociodemographic Factors in Urban Japan
Source:
Elsevier BV
A novel weighted scoring system for estimating the risk of rapid growth in untreated intracranial meningiomas
Source:
Journal of Neurosurgery Publishing Group (JNSPG)
The World Health Organization Disability Assessment Schedule 2.0 can predict the institutionalization of patients with stroke.
Source:
Edizioni Minerva Medica
Clinical Factors Associated with Severity of Post-stroke Dysphagia
Source:
Korean Society for Neurorehabilitation (KAMJE)
Utility of the NIH Stroke Scale as a Predictor of Hospital Disposition
Source:
Ovid Technologies (Wolters Kluwer Health)
Potential factors, including activities of daily living, influencing home discharge for patients with putaminal haemorrhage.
Source:
Springer Nature
Prognostic factors for discharge destination after acute stroke: a comprehensive literature review
Source:
Informa UK Limited
Outcome Measure Scores Predict Discharge Destination in Patients With Acute and Subacute Stroke: A Systematic Review and Series of Meta-analyses.
Source:
Ovid Technologies (Wolters Kluwer Health)
Impact of Post-Stroke Cognitive Impairment with No Dementia on Health-Related Quality of Life
Source:
Korean Stroke Society
Discharge destination of individuals with severe stroke undergoing rehabilitation: a predictive model
Source:
Informa UK Limited
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.