Literature DB >> 8656720

A measurement model of the Medical Outcomes Study 36-Item Short-Form Health Survey in a clinical sample of disadvantaged, older, black, and white men and women.

F D Wolinsky1, T E Stump.   

Abstract

The authors assess the factorial validity of the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) for use in a clinical sample of disadvantaged, older adults with significant comorbidities. Confirmatory factor analysis was performed using LISREL VIII on data obtained from baseline face-to-face interviews with a clinical sample of 1,051 patients who were at risk for acute deterioration of their clinical condition due either to their age alone (75 years or older), or to their age (50 to 74 years old) and major comorbid conditions. An acceptable eight-factor measurement model reflecting the original specification (ie, subscales) of the SF-36 was obtained (chi-square to degrees of freedom ratio = 2.14; root mean squared residual = .055; adjusted goodness of fit index = .90). That model, however, required relaxing the assumptions associated with seven correlated error terms. Moreover, an alternative nine-factor model that allowed the ¿getting sick¿ and ¿getting worse¿ items to form their own factor, labeled ¿health optimism,¿ fit the data significantly better (8 degrees of freedom chi-square improvement = 61; P< 0.0001). Although continued use of the SF-36 in older, disadvantaged, clinical samples is appropriate, further assessment of the underlying measurement model in other samples using confirmatory factor analytic techniques is needed to resolve the issue of correlated error structures and the existence of the health optimism factor.

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Year:  1996        PMID: 8656720     DOI: 10.1097/00005650-199606000-00004

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


  22 in total

1.  [A hospital suited version of the German SF-36 and its psychometric comparison with the original questionnaire].

Authors:  H Müller; A Franke; P Schuck; K L Resch
Journal:  Soz Praventivmed       Date:  2001

2.  Structure of health-related quality of life among people with and without functional limitations.

Authors:  Willi Horner-Johnson; Rie Suzuki; Gloria L Krahn; Elena M Andresen; Charles E Drum
Journal:  Qual Life Res       Date:  2010-05-14       Impact factor: 4.147

Review 3.  Quality of life in older people: a structured review of generic self-assessed health instruments.

Authors:  K L Haywood; A M Garratt; R Fitzpatrick
Journal:  Qual Life Res       Date:  2005-09       Impact factor: 4.147

4.  Structural equation models for quality of life response shifts: promises and pitfalls.

Authors:  Gary W Donaldson
Journal:  Qual Life Res       Date:  2005-12       Impact factor: 4.147

Review 5.  Are factor analytical techniques used appropriately in the validation of health status questionnaires? A systematic review on the quality of factor analysis of the SF-36.

Authors:  Henrica C W de Vet; Herman J Adèr; Caroline B Terwee; François Pouwer
Journal:  Qual Life Res       Date:  2005-06       Impact factor: 4.147

6.  Psychosocial aspects in myasthenic patients treated by plasmapheresis.

Authors:  Yu-Tai Chen; Yuanmay Chang; Hou-Chang Chiu; Jiann-Horng Yeh
Journal:  J Neurol       Date:  2011-02-02       Impact factor: 4.849

7.  Assessment of differential item functioning for demographic comparisons in the MOS SF-36 health survey.

Authors:  Anthony J Perkins; Timothy E Stump; Patrick O Monahan; Colleen A McHorney
Journal:  Qual Life Res       Date:  2006-04       Impact factor: 4.147

8.  Psychometric properties of the Spanish BASIS-24 mental health survey.

Authors:  Susan V Eisen; Pradipta Seal; Mark E Glickman; Dharma E Cortés; Mariana Gerena-Melia; Sergio Aguilar-Gaxiola; Vivian E Febo San Miguel; Jesús Soto-Espinosa; Cristina Magaña; Glorisa Canino
Journal:  J Behav Health Serv Res       Date:  2009-03-28       Impact factor: 1.505

9.  Medical outcomes study short form 36: testing and cross-validating a second-order factorial structure for health system employees.

Authors:  P J Reed
Journal:  Health Serv Res       Date:  1998-12       Impact factor: 3.402

10.  Effects of computerized guidelines for managing heart disease in primary care.

Authors:  William M Tierney; J Marc Overhage; Michael D Murray; Lisa E Harris; Xiao-Hua Zhou; George J Eckert; Faye E Smith; Nancy Nienaber; Clement J McDonald; Fredric D Wolinsky
Journal:  J Gen Intern Med       Date:  2003-12       Impact factor: 5.128

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