Literature DB >> 11021675

Performance of the SF-36, SF-12, and RAND-36 summary scales in a multiple sclerosis population.

M W Nortvedt1, T Riise, K M Myhr, H I Nyland.   

Abstract

BACKGROUND: Multiple sclerosis (MS) patients accumulate both physical and mental health problems along with disease progression. Valid and sensitive outcome measures are important to measure disease effects and the effect of treatment.
OBJECTIVE: The objective of this study was to test the performance of the physical and mental summary scales of SF-36, SF-12, and RAND-36.
METHODS: The scales were evaluated by comparing the scores of a cohort of 194 MS patients with general population data and using the Expanded Disability Status Scale (EDSS) and the Incapacity Status Scale-mental as criterion variables for physical functioning and mental health.
RESULTS: All 3 physical summary scales were markedly reduced and correlated highly with the EDSS. The SF-36 mental summary score was only slightly reduced among MS patients (0.2 SD) compared with the general population, despite significantly reduced scores on all 4 health scales being most related to mental health and despite a high prevalence of mental health problems. This results from the poor physical functioning (mean scale score, 2.3 SD below the general population) and the orthogonal factor rotation used to derive independent measures of physical and mental health. Similar results were found for the SF-12. The nonorthogonal RAND-36 physical and mental summary scores were both markedly reduced. This is more compatible with the disease progression in MS and the results of the other measures of physical and mental health used in the study.
CONCLUSIONS: The SF-36 and SF-12 mental health summary scales appear to overestimate mental health in people with MS.

Entities:  

Mesh:

Year:  2000        PMID: 11021675     DOI: 10.1097/00005650-200010000-00006

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  56 in total

1.  Item response theory and health outcomes measurement in the 21st century.

Authors:  R D Hays; L S Morales; S P Reise
Journal:  Med Care       Date:  2000-09       Impact factor: 2.983

2.  Do differences in methods for constructing SF-36 physical and mental health summary measures change their associations with chronic medical conditions and utilization?

Authors:  William E Cunningham; Terry T Nakazono; Kai Li Tsai; Ron D Hays
Journal:  Qual Life Res       Date:  2003-12       Impact factor: 4.147

3.  Performance of the RAND-12 and SF-12 summary scores in type 2 diabetes.

Authors:  Jeffrey A Johnson; Sheri L Maddigan
Journal:  Qual Life Res       Date:  2004-03       Impact factor: 4.147

4.  Using the effect size to model change in preference values from descriptive health status.

Authors:  Kristy Sanderson; Gavin Andrews; Justine Corry; Helen Lapsley
Journal:  Qual Life Res       Date:  2004-09       Impact factor: 4.147

5.  New Australian population scoring coefficients for the old version of the SF-36 and SF-12 health status questionnaires.

Authors:  Graeme Tucker; Robert Adams; David Wilson
Journal:  Qual Life Res       Date:  2010-05-04       Impact factor: 4.147

Review 6.  Scoring the SF-36 in Orthopaedics: A Brief Guide.

Authors:  Nicholas C Laucis; Ron D Hays; Timothy Bhattacharyya
Journal:  J Bone Joint Surg Am       Date:  2015-10-07       Impact factor: 5.284

7.  Change in quality of life of people with stroke over time: true change or response shift?

Authors:  Sara Ahmed; Nancy E Mayo; Marc Corbiere; Sharon Wood-Dauphinee; James Hanley; Robin Cohen
Journal:  Qual Life Res       Date:  2005-04       Impact factor: 4.147

8.  Comparison of preference-based utilities of the 15D, EQ-5D and SF-6D in patients with HIV/AIDS.

Authors:  Knut Stavem; Stig S Frøland; Kjell B Hellum
Journal:  Qual Life Res       Date:  2005-05       Impact factor: 4.147

9.  Psychometric properties of quality of life and health-related quality of life assessments in people with multiple sclerosis.

Authors:  Y C Learmonth; E A Hubbard; E McAuley; R W Motl
Journal:  Qual Life Res       Date:  2014-02-14       Impact factor: 4.147

10.  Temporal trends in health-related quality of life among hemodialysis patients in the United States.

Authors:  Ezra Gabbay; Klemens B Meyer; John L Griffith; Michelle M Richardson; Dana C Miskulin
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-17       Impact factor: 8.237

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