báo cáo hóa học:" Cross-diagnostic validity in a generic instrument: an example from the Functional Independence Measure in Scandinavia"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : Cross-diagnostic validity in a generic instrument: an example from the Functional Independence Measure in Scandinavia | BioMed Central Health and Quality of Life Outcomes Open Access Cross-diagnostic validity in a generic instrument an example from the Functional Independence Measure in Scandinavia Ả Lundgren-Nilsson 2 A Tennant1 G Grimby2 and KS Sunnerhagen2 Address department of Rehabilitation Medicine Academic Unit of Musculoskeletal Disease The University of Leeds 36 Clarendon Road Leeds LS2 9NZ UK and 2Sahlgrenska Academy at Gõteborg University Institute of Neuroscience and Physiology Rehabilitation medicine Guldhedsgatan 19 413 45 Gõteborg Sweden Email Ả Lundgren-Nilsson - ATennant-alantennant@ G KS Sunnerhagen - Corresponding author Published 23 August 2006 Received 08 March 2006 Health and Quality of Life Outcomes 2006 4 55 doi 1477-7525-4-55 Accepted 23 August 2006 This article is available from http content 4 1 55 2006 Ả et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract_ Background To analyse the cross-diagnostic validity of the Functional Independence Measure FIM motor items in patients with spinal cord injury stroke and traumatic brain injury and the comparability of summed scores between these diagnoses. Methods Data from 471 patients on FIM motor items at admission stroke 157 spinal cord injury 157 and traumatic brain injury 157 age range 11-90 years and 70 male in nine rehabilitation facilities in Scandinavia were fitted to the Rasch model. A detailed analysis of scoring functions of the seven categories of the FIM motor items was made prior to testing fit to the model. Categories were re-scored where .

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