Literature DB >> 28417611

Factors enhancing activities of daily living after stroke in specialized rehabilitation: an observational multicenter study within the Sunnaas International Network.

Birgitta Langhammer1,2, Katharina S Sunnerhagen3, Åsa Lundgren-Nilsson3, Susanne Sällström4, Frank Becker4,5, Johan K Stanghelle4,5.   

Abstract

BACKGROUND: Stroke may lead to serious, long-term disability. Consequently, many individuals with stroke will be in need of rehabilitation, and some of specialized rehabilitation. The content and organization of rehabilitation vary within and between countries, reflecting the preferences, customs, traditions, and values of a society or community, that may have an impact on outcomes. The main aim of the present study was to evaluate the influence of team models in specialized rehabilitation on outcomes as measured by stroke patients' performance in activities of daily living (ADL), at a standardized time and at discharge in the various specialized rehabilitation clinics. Secondary aims were to identify explanatory factors for possible differences in ADL changes at standardized time points.
DESIGN: A prospective descriptive cross-sectional explorative, multicenter study.
SETTING: Specialized rehabilitation clinics in Norway, China, the USA, Russia, Israel, Palestine, and Sweden, for a total of nine clinics. POPULATION: Persons with stroke.
METHODS: Outcomes measures were the modified Rankin Scale (mRS) and the National Institute of Health Stroke Scale (NIHSS), both on admission and at discharge from the inpatient rehabilitation unit, and Barthel Index (BI) or alternatively Functional Independence Measure (FIM), on admittance, 18-22 days into rehabilitation, at discharge, and at 6 and 12 months after discharge.
RESULTS: In total 230 stroke patients from nine clinics were recruited. There were significant differences in change scores of ADL from admittance to standardized time point 18-22 days into rehabilitation, (P<0.001, R2=0.19) and when controlled for baseline NIHSS and mRS (P<0.001, R2=0.18; P=0.01, R2=0.9 respectively). Analysis divided into intra-, multi- and interdisciplinary models showed significant differences at 18-22 days (P=0.02) and at discharge (P<0.001), indicating a more favorable outcome in ADL with the multi-disciplinary model. The linear regression analysis explained 55% of the changes in ADL (R2=0.55) at the standardized time point and 48% (R2=0.48) at discharge. Main explanatory factors were disability (mRS) and severity (NIHSS), team models, hours in therapy, and location at discharge. ADL was maintained for the majority of participants at 6 and 12 months post discharge. The correlations mRS/ADL (r=-0.68, P<0.0001), NIHSS/ADL (r=-0.55, P<0.0001) and NIHSS/mRS (r=0.46, P<0.0001) disclosed medium to large associations at 18-22 days into rehabilitation.
CONCLUSIONS: The study indicates that the organization of services in specialized rehabilitation after stroke has a major impact on improvement of ADL outcomes. Main positive predictive factors were models of teamwork, with the multidisciplinary model as most beneficial, and concentrated hours of therapy. Negative predictors were the level of baseline severity and disability post stroke. CLINICAL REHABILITATION IMPACT: The results indicate that organization of services should be at target to optimize patients' outcomes in rehabilitation. Furthermore, that concentrated hour's related to specific goals in therapy are preferable to optimize functional recovery.

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Year:  2017        PMID: 28417611     DOI: 10.23736/S1973-9087.17.04489-6

Source DB:  PubMed          Journal:  Eur J Phys Rehabil Med        ISSN: 1973-9087            Impact factor:   2.874


  6 in total

1.  Return to work after specialized rehabilitation-An explorative longitudinal study in a cohort of severely disabled persons with stroke in seven countries: The Sunnaas International Network stroke study.

Authors:  Birgitta Langhammer; Katharina S Sunnerhagen; Susanne Sällström; Frank Becker; Johan K Stanghelle
Journal:  Brain Behav       Date:  2018-07-18       Impact factor: 2.708

2.  Determination of the cut-off point of the Functional Independence Measure as a predictor of adverse events in patients with acute stroke.

Authors:  Noriko Kurokawa; Chiho Kai; Yoko Hokotachi; Mari Hasegawa; Teruyoshi Amagai
Journal:  J Int Med Res       Date:  2018-08-20       Impact factor: 1.671

3.  Application of Logistic Regression and Decision Tree Models in the Prediction of Activities of Daily Living in Patients with Stroke.

Authors:  Qile Zhang; Zheyu Zhang; Xiuqing Huang; Chun Zhou; Jian Xu
Journal:  Neural Plast       Date:  2022-01-28       Impact factor: 3.599

4.  Post stroke health-related quality of life, stroke severity and function: A longitudinal cohort study.

Authors:  Tasneem Hartley; Marlette Burger; Gakeemah Inglis-Jassiem
Journal:  Afr J Disabil       Date:  2022-01-26

5.  Outcome Prediction Based on Automatically Extracted Infarct Core Image Features in Patients with Acute Ischemic Stroke.

Authors:  Manon L Tolhuisen; Jan W Hoving; Miou S Koopman; Manon Kappelhof; Henk van Voorst; Agnetha E Bruggeman; Adam M Demchuck; Diederik W J Dippel; Bart J Emmer; Serge Bracard; Francis Guillemin; Robert J van Oostenbrugge; Peter J Mitchell; Wim H van Zwam; Michael D Hill; Yvo B W E M Roos; Tudor G Jovin; Olvert A Berkhemer; Bruce C V Campbell; Jeffrey Saver; Phil White; Keith W Muir; Mayank Goyal; Henk A Marquering; Charles B Majoie; Matthan W A Caan
Journal:  Diagnostics (Basel)       Date:  2022-07-23

Review 6.  Challenging rehabilitation environment for older patients.

Authors:  Lian Mj Tijsen; Els Wc Derksen; Wilco P Achterberg; Bianca I Buijck
Journal:  Clin Interv Aging       Date:  2019-08-12       Impact factor: 4.458

  6 in total

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