Literature DB >> 15900183

A comparison of the Barthel Index and the Functional Independence Measure as outcome measures in stroke rehabilitation: patterns of disability scale usage in clinical trials.

Harpreet Sangha1, David Lipson, Norine Foley, Katherine Salter, Sanjit Bhogal, Gina Pohani, Robert W Teasell.   

Abstract

In order to compare the frequency and patterns of use of the Barthel Index (BI) and Functional Independence Measure (FIM) in stroke rehabilitation trials, all randomized controlled trials (RCTs) of stroke rehabilitation published between 1968 and 2002 were identified and reviewed to determine the frequency with which the BI and FIM measures were used relative to other measures of disability. The date and location of each study citing either the FIM or the BI were also recorded. Studies were assigned ratings of methodological quality based on the physiotherapy evidence database (PEDro) scoring system. Comparisons of the age, frequency and continents of origin and methodological quality of the studies were explored. Results indicate that the BI and FIM were the most common measures of disability used in RCTs examining stroke rehabilitation. However, the BI was used more often than the FIM (n=86, P<0.001) and was cited in trials of superior quality (P=0.005). Studies from North America were more likely to use the FIM compared with European studies (n=24, P<0.001). Publications citing the BI were significantly more recent when originating in Europe as opposed to North America (P=0.023). These results provide insight into current patterns of scale use in stroke rehabilitation research.

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Year:  2005        PMID: 15900183     DOI: 10.1097/00004356-200506000-00006

Source DB:  PubMed          Journal:  Int J Rehabil Res        ISSN: 0342-5282            Impact factor:   1.479


  19 in total

1.  Using a logarithmic model to predict functional independence after spinal cord injury: a retrospective study.

Authors:  Yohei Tomioka; Osamu Uemura; Ryota Ishii; Meigen Liu
Journal:  Spinal Cord       Date:  2019-06-25       Impact factor: 2.772

2.  Neoadjuvant targeting of glioblastoma multiforme with radiolabeled DOTAGA-substance P--results from a phase I study.

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Journal:  J Neurooncol       Date:  2010-03-10       Impact factor: 4.130

3.  Association between bone scan index and activities of daily living in patients with advanced non-small cell lung cancer.

Authors:  Ikuno Ito; Kimiteru Ito; Shinichi Takahashi; Mitsuko Horibe; Rui Karita; Chika Nishizaka; Takako Nagai; Kohei Hamada; Hiroyuki Sato; Naoko Shindo
Journal:  Support Care Cancer       Date:  2017-01-20       Impact factor: 3.603

4.  Predicting Potential Adverse Events During a Skilled Nursing Facility Stay: A Skilled Nursing Facility Prognosis Score.

Authors:  Robert E Burke; Edward Hess; Anna E Barón; Cari Levy; Jacques D Donzé
Journal:  J Am Geriatr Soc       Date:  2018-03-02       Impact factor: 5.562

5.  Functional independence, diagnostic groups, hospital stay, and modality of payment in three Croatian seaside inpatient rehabilitation centers.

Authors:  Nada Tomasović Mrčela; Dražen Massari; Tonko Vlak
Journal:  Croat Med J       Date:  2010-12       Impact factor: 1.351

6.  Targeted alpha-radionuclide therapy of functionally critically located gliomas with 213Bi-DOTA-[Thi8,Met(O2)11]-substance P: a pilot trial.

Authors:  D Cordier; F Forrer; F Bruchertseifer; A Morgenstern; C Apostolidis; S Good; J Müller-Brand; H Mäcke; J C Reubi; A Merlo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-02-16       Impact factor: 9.236

7.  Predictive Validity of the Postural Assessment Scale for Stroke (PASS) to Classify the Functionality in Stroke Patients: A Retrospective Study.

Authors:  Cecilia Estrada-Barranco; Ismael Sanz-Esteban; Maria José Giménez-Mestre; Roberto Cano-de-la-Cuerda; Francisco Molina-Rueda
Journal:  J Clin Med       Date:  2022-06-29       Impact factor: 4.964

8.  Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.

Authors:  Gong-Hong Lin; Chih-Ying Li; Ching-Fan Sheu; Chien-Yu Huang; Shih-Chieh Lee; Yu-Hui Huang; Ching-Lin Hsieh
Journal:  Arch Phys Med Rehabil       Date:  2021-12-31       Impact factor: 4.060

9.  Italian Version of the Pittsburgh Rehabilitation Participation Scale: Psychometric Analysis of Validity and Reliability.

Authors:  Marco Iosa; Giovanni Galeoto; Daniela De Bartolo; Valentina Russo; Ilaria Ruotolo; Grazia Fernanda Spitoni; Irene Ciancarelli; Marco Tramontano; Gabriella Antonucci; Stefano Paolucci; Giovanni Morone
Journal:  Brain Sci       Date:  2021-05-13

Review 10.  Assessment scales in stroke: clinimetric and clinical considerations.

Authors:  Jennifer K Harrison; Katherine S McArthur; Terence J Quinn
Journal:  Clin Interv Aging       Date:  2013-02-18       Impact factor: 4.458

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