A short and validated multiple sclerosis-specific health-related quality of life measurement for routine medical practice

European Journal of Neurology

Volumn 20, Issue 6, 2013, Pages 935-941

  Devy, R ^a   Lehert, P ^b,c   Varlan, E ^d   Genty, M ^e   Edan, G ^f  

^a Association DNS   (France)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d Merck KGaA France   (France)

^e Centre Thermal   (Switzerland)

^f PONTCHAILLOU UNIVERSITY HOSPITAL   (France)

Author keywords

Demyelinating diseases; Multiple sclerosis; Neurological disorders; Quality of life; Research methods

Indexed keywords

ADULT; ARTICLE; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; FEMALE; HUMAN; INTERNAL CONSISTENCY; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; MEDICAL PRACTICE; MULTIPLE SCLEROSIS; OBSERVATIONAL STUDY; PRIORITY JOURNAL; REPRODUCIBILITY; SEMI STRUCTURED INTERVIEW; SHORT FORM 36;

ADULT; CROSS-SECTIONAL STUDIES; EVIDENCE-BASED PRACTICE; FEMALE; FRANCE; HUMANS; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; QUALITY OF LIFE; QUESTIONNAIRES;

EID: 84877674350     PISSN: 13515101     EISSN: 14681331     Source Type: Journal    
DOI: 10.1111/ene.12107     Document Type: Article

References (28)

1. Confavreux C, Vukusic S, Adeleine P. Early clinical predictors and progression of irreversible disability in multiple sclerosis: an amnestic process. Brain 2003; 126: 770-782.
2. Janssens AC, van Doorn PA, de Boer JB, van der Meche FG, Passchier J, Hintzen RQ. Impact of recently diagnosed multiple sclerosis on quality of life, anxiety, depression and distress of patients and partners. Acta Neurol Scand 2003; 108: 389-395.
3. McCabe MP, de Judicibus M. The effect of economic disadvantage on psychological wellbeing and quality of life among people with multiple sclerosis. J Health Psychol 2005; 10: 163-173.
4. Mitchell AJ, Benito-Leon J, Gonzalez JM, Rivera-Navarro J. Quality of life and its assessment in multiple sclerosis: integrating physical and psychological components of wellbeing. Lancet Neurol 2005; 4: 556-566.
5. Benito-Leon J, Mitchell AJ, Rivera-Navarro J, Morales-Gonzalez JM. Impaired health-related quality of life predicts progression of disability in multiple sclerosis. Eur J Neurol 2013; 20: 79-86.
6. Montel SR, Bungener C. Coping and quality of life in one hundred and thirty five subjects with multiple sclerosis. Mult Scler 2007; 13: 393-401.
7. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 1983; 33: 1444-1452.
8. Sharrack B, Hughes RA, Soudain S, Dunn G. The psychometric properties of clinical rating scales used in multiple sclerosis. Brain 1999; 122: 141-159.
9. Hobart J, Freeman J, Thompson A. Kurtzke scales revisited: the application of psychometric methods to clinical intuition. Brain 2000; 5: 1027-1040.
10. Rothwell PM. Quality of life in multiple sclerosis. J Neurol Neurosurg Psychiatry 1998; 65: 433.
11. Vickrey BG, Hays RD, Harooni R, Myers LW, Ellison GW. A health-related quality of life measure for multiple sclerosis. Qual Life Res 1995; 4: 187-206.
12. Ware JE Jr, Snow KK, Kosinski M, Gandek B. SF-36 Health Survey Manual and Interpretation Guide. Boston, MA: Nimrod Press, 1993.
13. Hobart J, Freeman J, Lamping D, Firtzpatrick R, Thompson A. The SF-36 in multiple sclerosis: why basic assumptions must be tested. J Neurol Neurosurg Psychiatry 2001; 7: 363-370.
14. Simeoni M, Auquier P, Fernandez O, et al. Validation of the multiple sclerosis international quality of life questionnaire. Mult Scler 2008; 14: 219-230.
15. Doward LC, McKenna SP, Meads DM, Twiss J, Eckert BJ. The development of patient-reported outcome indices for multiple sclerosis (PRIMUS). Mult Scler 2009; 15: 1092-1102.
16. Hobart J, Lamping D, Fitzpatrick R, Riazi A, Thompson A. The Multiple Sclerosis Impact Scale (MSIS-29): a new patient-based outcome measure. Brain 2001; 124(Pt 5): 962-973.
17. Parkin D, Jacoby A, McNamee P, Miller P, Thomas S, Bates D. Treatment of multiple sclerosis with interferon beta: an appraisal of cost-effectiveness and quality of life. J Neurol Neurosurg Psychiatry 2000; 68: 144-149.
18. Patti F, Pozzilli C, Montanari E, et al. Effects of education level and employment status on HRQoL in early relapsing-remitting multiple sclerosis. Mult Scler 2007; 13: 783-791.
19. Mair P, Hatzinger R. Extended Rasch modeling: the eRm package for the application of IRT models in R. J Stat Softw 2007; 20: 1-20.
20. Ware JE Jr, Harris WJ, Gandek B, Rogers BW, Reese PR. MAP-R for Windows: Multitrait/Multi-Item Analysis Program-Revised User's Guide. Boston, MA: Health Assessment Laboratory, 1997.
21. Loehlin JC. Latent Variable Model. Hillsdale, NJ: Lawrence Erlbaum Associates, 1992.
22. Preacher KJ, Coffman DL. Computing Power and Minimum Sample Size for RMSEA [Computer software]. http://timo.gnambs.at/en/scripts/powerforsem (accessed 29/01/2013).
23. Andersen EB. A goodness of fit test for the Rasch model. Psychometrika 1973; 38: 123-140.
24. R-foundation. A Language and Environment for Statistical Computing. Team RDC, ed. Vienna, Austria: R Foundation for Statistical Computing, 2010.
25. Riazi A, Hobart JC, Lamping DL, et al. Using the SF-36 measure to compare the health impact of multiple sclerosis and Parkinson's disease with normal population health profiles. J Neurol Neurosurg Psychiatry 2003; 74: 710-714.
26. Pakenham K. Coping with Multiple Sclerosis: Development of a Measure. Abingdon, UK: Taylor & Francis, 2001.
27. Freeman JA, Hobart JC, Langdon DW, Thompson AJ. Clinical appropriateness: a key factor in outcome measure selection: the 36 item short form health survey in multiple sclerosis. J Neurol Neurosurg Psychiatry 2000; 68: 150-156.
28. Gray OM, McDonnell GV, Hawkins SA. Tried and tested: the psychometric properties of the multiple sclerosis impact scale (MSIS-29) in a population-based study. Mult Scler 2009; 15: 75-80.