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Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : Minimal changes in health status questionnaires: distinction between minimally detectable change and minimally important change | BioMed Central Health and Quality of Life Outcomes Commentary Minimal changes in health status questionnaires distinction between minimally detectable change and minimally important change Henrica C de Vet Caroline B Terwee Raymond W Ostelo Heleen Beckerman Dirk L Knol and Lex M Bouter Open Access Address EMGO Institute VU University Medical Center Van der Boechorststraat 7 1081 BT Amsterdam The Netherlands Email Henrica C de Vet - hcw.devet@vumc.nl Caroline B Terwee - cb.terwee@vumc.nl Raymond W Ostelo - r.ostelo@vumc.nl Heleen Beckerman - h.beckerman@vumc.nl Dirk L Knol - d.knol@vumc.nl Lex M Bouter - lm.bouter@vumc.nl Corresponding author Published 22 August 2006 Received 26 July 2006 Health and Quality of Life Outcomes 2006 4 54 doi 10.1186 1477-7525-4-54 Accepted 22 August 2006 This article is available from http www.hqlo.cOm content 4 1 54 2006 de Vet et al 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__ Changes in scores on health status questionnaires are difficult to interpret. Several methods to determine minimally important changes MICs have been proposed which can broadly be divided in distribution-based and anchor-based methods. Comparisons of these methods have led to insight into essential differences between these approaches. Some authors have tried to come to a uniform measure for the MIC such as 0.5 standard deviation and the value of one standard error of measurement SEM . Others have emphasized the diversity of MIC values depending on the type of anchor the definition of minimal importance on the anchor and characteristics of the disease under study. A closer look makes clear that some distribution-based methods have
