Literature DB >> 10644779

Clinical appropriateness: a key factor in outcome measure selection: the 36 item short form health survey in multiple sclerosis.

J A Freeman1, J C Hobart, D W Langdon, A J Thompson.   

Abstract

OBJECTIVES: Understanding the properties of an outcome measure is essential in choosing the appropriate instrument and interpreting the information it generates. The MOS 36 item short form health survey questionnaire (SF-36) is widely acknowledged as the gold standard generic measure of health status; few studies however have evaluated its use for clinical trials in multiple sclerosis. Its clinical appropriateness, internal consistency reliability, validity, and responsiveness was investigated across a broad range of patients with multiple sclerosis.
METHODS: A prospective study in which 150 adults with clinically definite multiple sclerosis completed a battery of questionnaires evaluating generic health status, disability, handicap, and emotional wellbeing. Of these, 44 patients undergoing inpatient rehabilitation completed the questionnaires before and after intervention to evaluate responsiveness.
RESULTS: Score distributions demonstrated significant floor and ceiling effects in four of the eight dimensions which were particularly marked when patient selection was restricted to a narrow band of disease severity (as is the case in most clinical trials). Internal consistency exceeded the standard for group comparisons for all dimensions. Convergent and discriminant construct validity was supported by the direction, magnitude, and pattern of correlations with other health measures. In comparison with instruments measuring associated constructs, the responsiveness of the SF-36 was poor in evaluating change in moderate to severely disabled patients participating in a programme of inpatient rehabilitation.
CONCLUSIONS: The SF-36 has some limitations as an outcome measure in multiple sclerosis. The results highlight the need for all instruments to be examined in the specific sample population under question and for the specific research question being investigated. In multiple sclerosis clinical trials, the SF-36 should be supplemented with other relevant measures.

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Mesh:

Year:  2000        PMID: 10644779      PMCID: PMC1736771          DOI: 10.1136/jnnp.68.2.150

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  26 in total

1.  Comparison of a generic to disease-targeted health-related quality-of-life measures for multiple sclerosis.

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2.  Functional assessment scales: a study of persons with multiple sclerosis.

Authors:  C V Granger; A C Cotter; B B Hamilton; R C Fiedler; M M Hens
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3.  Validation of the functional assessment of multiple sclerosis quality of life instrument.

Authors:  D F Cella; K Dineen; B Arnason; A Reder; K A Webster; G karabatsos; C Chang; S Lloyd; J Steward; D Stefoski
Journal:  Neurology       Date:  1996-07       Impact factor: 9.910

4.  Health-related quality of life for patients with progressive multiple sclerosis: influence of rehabilitation.

Authors:  R P Di Fabio; T Choi; J Soderberg; C R Hansen
Journal:  Phys Ther       Date:  1997-12

5.  Quality of life in multiple sclerosis: the disability and impact profile (DIP).

Authors:  G J Lankhorst; F Jelles; R C Smits; C H Polman; D J Kuik; L E Pfennings; L Cohen; H M van der Ploeg; P Ketelaer; L Vleugels
Journal:  J Neurol       Date:  1996-06       Impact factor: 4.849

6.  Performance of a new, HIV/AIDS-targeted quality of life (HAT-QoL) instrument in asymptomatic seropositive individuals.

Authors:  W C Holmes; J A Shea
Journal:  Qual Life Res       Date:  1997-08       Impact factor: 4.147

7.  A health-related quality of life measure for multiple sclerosis.

Authors:  B G Vickrey; R D Hays; R Harooni; L W Myers; G W Ellison
Journal:  Qual Life Res       Date:  1995-06       Impact factor: 4.147

8.  Inpatient rehabilitation in multiple sclerosis: do the benefits carry over into the community?

Authors:  J A Freeman; D W Langdon; J C Hobart; A J Thompson
Journal:  Neurology       Date:  1999-01-01       Impact factor: 9.910

9.  Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG)

Authors:  L D Jacobs; D L Cookfair; R A Rudick; R M Herndon; J R Richert; A M Salazar; J S Fischer; D E Goodkin; C V Granger; J H Simon; J J Alam; D M Bartoszak; D N Bourdette; J Braiman; C M Brownscheidle; M E Coats; S L Cohan; D S Dougherty; R P Kinkel; M K Mass; F E Munschauer; R L Priore; P M Pullicino; B J Scherokman; R H Whitham
Journal:  Ann Neurol       Date:  1996-03       Impact factor: 10.422

10.  Effect sizes for interpreting changes in health status.

Authors:  L E Kazis; J J Anderson; R F Meenan
Journal:  Med Care       Date:  1989-03       Impact factor: 2.983

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  30 in total

Review 1.  Neurological rehabilitation: from mechanisms to management.

Authors:  A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-12       Impact factor: 10.154

2.  A comparison of the responsiveness of different generic health status measures in patients with asthma.

Authors:  Toru Oga; Koichi Nishimura; Mitsuhiro Tsukino; Susumu Sato; Takashi Hajiro; Michiaki Mishima
Journal:  Qual Life Res       Date:  2003-08       Impact factor: 4.147

3.  What sample sizes for reliability and validity studies in neurology?

Authors:  Jeremy C Hobart; Stefan J Cano; Thomas T Warner; Alan J Thompson
Journal:  J Neurol       Date:  2012-06-24       Impact factor: 4.849

4.  Quality of life and impairment in patients with multiple sclerosis.

Authors:  A-K Isaksson; G Ahlström; L-G Gunnarsson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-01       Impact factor: 10.154

5.  Measuring health-related quality of life for persons with mobility impairments: an enabled version of the short-form 36 (SF-36E).

Authors:  Katherine Froehlich-Grobe; Elena M Andresen; Charlene Caburnay; Glen W White
Journal:  Qual Life Res       Date:  2008-04-22       Impact factor: 4.147

6.  Psychometric properties of measures of upper limb activity performance in adults with and without spasticity undergoing neurorehabilitation-A systematic review.

Authors:  Shannon Pike; Anne Cusick; Kylie Wales; Lisa Cameron; Lynne Turner-Stokes; Stephen Ashford; Natasha A Lannin
Journal:  PLoS One       Date:  2021-02-11       Impact factor: 3.240

7.  Factors that contribute to quality of life outcomes prioritised by people with multiple sclerosis.

Authors:  Maggie Somerset; Tim J Peters; Deborah J Sharp; Rona Campbell
Journal:  Qual Life Res       Date:  2003-02       Impact factor: 4.147

8.  Using existing data to identify candidate items for a health state classification system in multiple sclerosis.

Authors:  Ayse Kuspinar; Lois Finch; Simon Pickard; Nancy E Mayo
Journal:  Qual Life Res       Date:  2013-12-15       Impact factor: 4.147

9.  A randomised controlled trial comparing rehabilitation against standard therapy in multiple sclerosis patients receiving intravenous steroid treatment.

Authors:  J Craig; C A Young; M Ennis; G Baker; M Boggild
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-09       Impact factor: 10.154

10.  Multi-centre parallel arm randomised controlled trial to assess the effectiveness and cost-effectiveness of a group-based cognitive behavioural approach to managing fatigue in people with multiple sclerosis.

Authors:  Peter W Thomas; Sarah Thomas; Paula Kersten; Rosemary Jones; Alison Nock; Vicky Slingsby; Colin Green; Roger Baker; Kate Galvin; Charles Hillier
Journal:  BMC Neurol       Date:  2010-06-16       Impact factor: 2.474

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