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Báo cáo y học: "A Rasch Analysis of the Manchester Foot Pain and Disability Index"
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: A Rasch Analysis of the Manchester Foot Pain and Disability Index. | Journal of Foot and Ankle Research BioMed Central Research A Rasch Analysis of the Manchester Foot Pain and Disability Index Sara Muller and Edward Roddy Open Access Address Arthritis Research Campaign National Primary Care Centre Primary Care Sciences Keele University Keele Staffordshire ST5 5BG UK Email Sara Muller - s.muller@cphc.keele.ac.uk Edward Roddy - e.roddy@cphc.keele.ac.uk Corresponding author Published 30 October 2009 Received 27 July 2009 Journal of Foot and Ankle Research 2009 2 29 doi 10.1186 1757-1146-2-29 Accepted 30 October 2009 This article is available from http www.jfootankleres.cOm content 2 1 29 2009 Muller and Roddy licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background There is currently no interval-level measure of foot-related disability and this has hampered research in this area. The Manchester Foot Pain and Disability Index FPDI could potentially fill this gap. Objective To assess the fit of the three subscales function pain appearance of the FPDI to the Rasch unidimensional measurement model in order to form interval-level scores. Methods A two-stage postal survey at a general practice in the UK collected data from 149 adults aged 50 years and over with foot pain. The 17 FPDI items in three subscales were assessed for their fit to the Rasch model. Checks were carried out for differential item functioning by age and gender. Results The function and pain items fit the Rasch model and interval-level scores can be constructed. There were too few people without extreme scores on the appearance subscale to allow fit to the Rasch model to be tested. Conclusion The items from the FPDI function and pain subscales can be used to obtain interval level scores for these factors for use in .