Literature DB >> 8841336

Validation of the Short Form 36 (SF-36) health survey questionnaire among stroke patients.

C Anderson1, S Laubscher, R Burns.   

Abstract

BACKGROUND AND
PURPOSE: Few studies have examined the utility of a new generic health status measure, the Short Form 36 health survey questionnaire (SF-36), in stroke patients. Our aim was to test the internal consistency and validity of the SF-36 in a cohort of long-term stroke survivors.
METHODS: The Australian version of the SF-36 was tested in 90 consecutive 1-year stroke survivors (mean age, 72 years) identified from our hospital discharge data. The instrument was administered by personal interview. Validity was assessed by comparing patients' scores on the SF-36 with those obtained for the Barthel Index, the 28-item General Health Questionnaire, and the Adelaide Activities Profile, an instrument developed from the Frenchay Activities Index.
RESULTS: The SF-36 was relatively quick and easy to use and had satisfactory internal consistency (Cronbach's alpha > 0.7). For all eight SF-36 health scales, the mean scores for patients dependent in self care and with mental ill health were significantly different from patients without these disabilities, but the strength of the differences varied in a predictable manner. However, the SF-36 social functioning scale did not provide a valid measure of everyday activities relevant to many elderly patients as measured by the Adelaide Activities Profile.
CONCLUSIONS: The SF-36 avoids the "ceiling effect" of most disability scales and provides a valid measure of physical and mental health after stroke, but it does not appear to characterize well social functioning. Thus, the instrument may need to be supplemented by other measures for a comprehensive assessment of stroke outcome.

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Mesh:

Year:  1996        PMID: 8841336     DOI: 10.1161/01.str.27.10.1812

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  76 in total

Review 1.  A review of health-related quality-of-life measures in stroke.

Authors:  B A Golomb; B G Vickrey; R D Hays
Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

Review 2.  Quality of life and neurological illness: a review of the literature.

Authors:  R Murrell
Journal:  Neuropsychol Rev       Date:  1999-12       Impact factor: 7.444

3.  Evaluation of Medical Outcomes Study Short Form-36 Taiwan version in assessing elderly patients with hip fracture.

Authors:  Yea-Ing Lotus Shyu; Jui-fen Rachel Lu; Jersey Liang
Journal:  Osteoporos Int       Date:  2004-07       Impact factor: 4.507

Review 4.  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

5.  Baseline physical performance, health, and functioning of participants in the Frequent Hemodialysis Network (FHN) trial.

Authors:  George A Kaysen; Brett Larive; Patricia Painter; Alexander Craig; Robert M Lindsay; Michael V Rocco; John T Daugirdas; Gerald Schulman; Glenn M Chertow
Journal:  Am J Kidney Dis       Date:  2011-01       Impact factor: 8.860

6.  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

7.  [Subjective health of older people in view of the SF-36: Values from a large community-based sample].

Authors:  T Gunzelmann; C Albani; M Beutel; E Brähler
Journal:  Z Gerontol Geriatr       Date:  2006-04       Impact factor: 1.281

8.  Quality of life on admission to the intensive care: can we query the relatives?

Authors:  Jose Hofhuis; Jeannine L A Hautvast; Augustinus J P Schrijvers; Jan Bakker
Journal:  Intensive Care Med       Date:  2003-05-07       Impact factor: 17.440

9.  White matter hyperintensities and quality of life in acute lacunar stroke.

Authors:  W K Tang; H J Liang; Y K Chen; A T Ahuja; Winnie C W Chu; V C T Mok; Gabor S Ungvari; K S Wong
Journal:  Neurol Sci       Date:  2012-12-18       Impact factor: 3.307

10.  Self ratings of health predict functional outcome and recurrence free survival after stroke.

Authors:  T Hillen; S Davies; A G Rudd; T Kieselbach; C D Wolfe
Journal:  J Epidemiol Community Health       Date:  2003-12       Impact factor: 3.710

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