Literature DB >> 23096140

Selection for inpatient rehabilitation after severe stroke: what factors influence rehabilitation assessor decision-making?

Sharon Hakkennes1, Keith D Hill, Kim Brock, Julie Bernhardt, Leonid Churilov.   

Abstract

OBJECTIVES: This study aimed to identify factors that assessors considered important in decision-making regarding suitability for inpatient rehabilitation after acute severe stroke.
DESIGN: Multi-site prospective observational cohort study.
SUBJECTS: Consecutive acute, severe stroke patients and their assessors for inpatient rehabilitation.
METHODS: Rehabilitation assessors completed a questionnaire, rating the importance (10 point visual analogue scale) and direction (positive, negative or neutral) of 15 patient related and 2 organisational items potentially affecting their decision regarding patients' acceptance to rehabilitation.
RESULTS: Of the 75 patients referred to rehabilitation and included in this study 61 (81.3%) were accepted for inpatient rehabilitation. The items considered to be most important in the decision to accept the patient for rehabilitation were pre-morbid cognition, pre-morbid mobility and pre-morbid communication. For those not accepted the most important items were current mobility, social support and current cognition. Factor analysis revealed 3 underlying factors, interpreted as post-stroke status, pre-morbid status, and social attributes, accounting for 61.8% of the total variance. All were independently associated with acceptance for rehabilitation (p < 0.05).
CONCLUSIONS: This study highlights the importance of pre-morbid function and social factors in addition to post-stroke function in the decision making process for acceptance to rehabilitation following severe stroke. Future models for selection for rehabilitation should consider inclusion of these factors.

Entities:  

Mesh:

Year:  2013        PMID: 23096140     DOI: 10.2340/16501977-1065

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  13 in total

1.  The Effect of Frailty on Discharge Location for Medicare Beneficiaries After Acute Stroke.

Authors:  Bryant A Seamon; Kit N Simpson
Journal:  Arch Phys Med Rehabil       Date:  2019-03-26       Impact factor: 3.966

2.  Neural function, injury, and stroke subtype predict treatment gains after stroke.

Authors:  Erin Burke Quinlan; Lucy Dodakian; Jill See; Alison McKenzie; Vu Le; Mike Wojnowicz; Babak Shahbaba; Steven C Cramer
Journal:  Ann Neurol       Date:  2014-12-04       Impact factor: 10.422

Review 3.  Genetics as a molecular window into recovery, its treatment, and stress responses after stroke.

Authors:  Vanessa Juth; E Alison Holman; Michelle K Chan; Steven C Cramer
Journal:  J Investig Med       Date:  2016-04-04       Impact factor: 2.895

4.  Selection of Postacute Stroke Rehabilitation Facilities: A Survey of Discharge Planners From the Northeast Cerebrovascular Consortium (NECC) Region.

Authors:  Zainab Magdon-Ismail; Alyse Sicklick; Robin Hedeman; Janet Prvu Bettger; Joel Stein
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

5.  Mobile phone application for self-assessment of acute stroke patients: A tool for extended care and follow-up.

Authors:  Hong Chang; Jie Zhao; Yuchen Qiao; Hui Yao; Xiaojuan Wang; Juanmin Li; Jia Liu
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

6.  Does pre-existing cognitive impairment impact on amount of stroke rehabilitation received? An observational cohort study.

Authors:  Verity Longley; Sarah Peters; Caroline Swarbrick; Sarah Rhodes; Audrey Bowen
Journal:  Clin Rehabil       Date:  2019-04-25       Impact factor: 3.477

7.  Most Important Factors for Deciding Rehabilitation Provision for Severe Stroke Survivors Post Hospital Discharge: A Study Protocol for a Best-Worst Scaling Experiment.

Authors:  Sushmita Mohapatra; Kei-Long Cheung; Mickaël Hiligsmann; Nana Anokye
Journal:  Methods Protoc       Date:  2021-05-06

8.  Education-only versus a multifaceted intervention for improving assessment of rehabilitation needs after stroke; a cluster randomised trial.

Authors:  Elizabeth A Lynch; Dominique A Cadilhac; Julie A Luker; Susan L Hillier
Journal:  Implement Sci       Date:  2016-09-07       Impact factor: 7.327

9.  Biomarkers of Rehabilitation Therapy Vary according to Stroke Severity.

Authors:  Erin Burke Quinlan; Lucy Dodakian; Jill See; Alison McKenzie; Jill Campbell Stewart; Steven C Cramer
Journal:  Neural Plast       Date:  2018-03-12       Impact factor: 3.599

10.  What factors affect clinical decision-making about access to stroke rehabilitation? A systematic review.

Authors:  Verity Longley; Sarah Peters; Caroline Swarbrick; Audrey Bowen
Journal:  Clin Rehabil       Date:  2018-10-29       Impact factor: 3.477

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