Measuring participation in people living with multiple sclerosis: A comparison of self-reported frequency, importance and self-efficacy

References

• World Health Organization. International Classification of Functioning, Disability and Health (ICF). WHO, GenevaSwitzerland 2001
   Google Scholar
• Salter K, Jutai J W, Teasell R, Foley N C, Bitensky J, Bayley M. Issues for selection of outcome measures in stroke rehabilitation: ICF Participation. Disabil Rehabil 2005; 27(9)507–528
   PubMed Web of Science ®Google Scholar
• Brown M, Gordon W A. Participation in social and recreational activity in the community by individuals with traumatic brain injury. Rehabil Psychol 2003; 48(4)266–274
   Web of Science ®Google Scholar
• Cicerone K D, Mott T, Azulay J, Friel J C. Community integration and satisfaction with functioning after intensive cognitive rehabilitation for traumatic brain injury. Arch Phy Medicine Rehabil 2004; 85(4)943–950
   PubMed Web of Science ®Google Scholar
• Dijkers M. Measuring the long-term outcome of traumatic brain injury: A review of the Community Integration Questionnaire. J Head Trauma Rehabil 1997; 126: 74–91
   Web of Science ®Google Scholar
• Johnston M V, Goverover Y, Dijkers M. Community activities and individuals' satisfaction with them: Quality of life in the first year after traumatic brain injury. Arch Phys Medicine Rehabil 2005; 86: 735–745
   PubMed Web of Science ®Google Scholar
• Seale G S, CAroselli J S, High W M, Becker C L, Neese L E, Scheibel R. Use of the Community Integration Questionnaire (CIQ) to characterize changes in functioning for individuals with traumatic brain injury who participated in a post-care rehabilitation programme. Brain Inj 2002; 16(11)955–967
   PubMed Web of Science ®Google Scholar
• Willer B, Rosenthal M, Kreutzer J S, Gordon W A, Rempel P. Assessment of community integration following rehabilitation for traumatic brain injury. J Head Trauma Rehabil 1993; 8(2)75–87
   Google Scholar
• Goranson T E, Graves R E, Allison D, La Freniers R. Community integration following multidisciplinary rehabilitation for traumatic brain injury. Brain Inj 2003; 17(9)759–774
   PubMed Web of Science ®Google Scholar
• Brown M, Gordon W A, Spielman L, Gaddad L. Participation by individuals with spinal cord injury in social and recreational activity outside the home. Top Spinal Cord Inj Rehabil 2002; 7(3)83–100
   Google Scholar
• Fuhrer M J, Rintala D H, Hart K A, Clearman R, Young M E. Relationship of life satisfaction to impairment, disability, and handicap among persons with spinal cord injury living in the community. Arch Phys Medicine Rehabil 1992; 73: 552–557
   PubMed Web of Science ®Google Scholar
• Noreau L, Fougeyrollas P. Long-term consequences of spinal cord injury on social participation: The occurrence of handicap situations. Disabil Rehabil 2000; 22(4)170–180
   PubMed Web of Science ®Google Scholar
• Whiteneck G, Meade M A, Dijkers M, Tate D G, Suchnik T, Forchheimer M B. Environmental factors and their role in participation and life satisfaction after spinal cord injury. Arch Phys Medicine Rehabil 2004; 85: 1793–1803
   PubMed Web of Science ®Google Scholar
• Desrosiers J, Noreau L, Rochette A, Bravo G, Boutin C. Predictors of handicap situations following post-stroke rehabilitation. Disabil Rehabil 2002; 24(15)774–785
   PubMed Web of Science ®Google Scholar
• Van Brakel W, Anderson A, Mutatkar R, et al. The participation scale: Measuring a key concept in public health. Disabil Rehabil 2006; 28(4)193–203
   PubMed Web of Science ®Google Scholar
• Dijkers M PJM, Whiteneck G, El-Jaroudi R. Measures of social outcomes in disability research. Arch Phys Medicine Rehabil 2000; 81(12 Suppl.)S63–80
   PubMed Web of Science ®Google Scholar
• Brown M, Dijkers M PJM, Gordon W A, Ashman T, Charatz H, Cheng Z. Participation objective, participation subjective: A measure of participation combining outsider and insider perspectives. J Head Trauma Rehabil 2004; 19(6)459–481
   PubMed Web of Science ®Google Scholar
• Johnston M V, Miklos C S. Activity-related quality of life in rehabilitation and traumatic brain injury. Arch Phys Medicine Rehabil 2002; 83(Suppl. 2)S26–38
   PubMed Web of Science ®Google Scholar
• Noreau L, Desrosiers J, Robichaud L, Fougeyrollas P, Rochette A, Viscogliosi C. Measuring social participation: Reliability of the LIFE-H in older adults with disabilities. Disabil Rehabil 2004; 26(6)346–352
   PubMed Web of Science ®Google Scholar
• Cardol M, Brandsma J W, de Groot I JM, van den Bos G AM, de Haan R J, de Jong B A. Handicap questionnaires: What do they assess?. Disabil Rehabil 1999; 21(3)97–105
   PubMed Web of Science ®Google Scholar
• Perenboom R JM, Chorus A MJ. Measuring participation according to the International Classification of Functioning, Disability and Health (ICF). Disabil Rehabil 2003; 25(11 – 12)577–585
   PubMed Web of Science ®Google Scholar
• Cardol M, de Haan R J, van den Bos G AM, de Jong B A, de Groot I JM. The development of a handicap assessment questionnaire: The Impact on Participation and Autonomy (IPA). Clinical Rehabil 1999; 13: 411–419
   PubMed Web of Science ®Google Scholar
• Dijkers M. Measuring the long-term outcomes of traumatic brain injury: A review of the Community Integration Questionnaire. J Head Trauma Rehabil 1997; 12(6)74–91
   Web of Science ®Google Scholar
• Ostir G V, Granger C V, Black D A, et al. Preliminary results for the PAR-PRO: A measure of home and community participation. Arch Phys Medicine Rehabil 2006; 87: 1043–1053
   PubMed Web of Science ®Google Scholar
• King G, Law M, King S, et al. Children's assessment of participation and enjoyment and preferences for activities of children. PsychCorp, San Antonio, TX 2004
   Google Scholar
• Ehde D M, Gibbons L E, Chwastiak L, Bombardier C H, Sullivan M D, Kraft G H. Chronic pain in a large community sample of persons with multiple sclerosis. Multiple Sclerosis 2003; 9(6)605–611
   PubMed Web of Science ®Google Scholar
• Chwastiak L A, Ehde D M, Gibbons L, Sullivan M D, Bowen J D, Kraft G H. Depressive symptoms and severity of illness in multiple sclerosis: Epidemiological study of a large community sample. Am J Psychiatry 2002; 159(11)1862–1868
   PubMed Web of Science ®Google Scholar
• Yorkston K M, Klasner E R, Bowen J, et al. Characteristics of multiple sclerosis as a function of the severity of speech disorders. J Medical Speech-Lang Pathol 2003; 11(2)73–85
   Web of Science ®Google Scholar
• Bowen J, Gibbons L, Gianas A, Kraft G H. Self-administered Expanded Disability Status Scale with Functional System Scores correlates well with a physician-administered test. Multiple Sclerosis 2001; 7(3)201–206
   PubMed Web of Science ®Google Scholar
• Bowen J. Diagnosing multiple sclerosis and its imitators. Phys Medicine Rehabil Clinics N Am 2005; 16: 359–382
   PubMedGoogle Scholar
• Spitzer R L, Kroenke K, Williams J B. Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. JAMA 1999; 282(18)1737–1744
   PubMed Web of Science ®Google Scholar
• Kroencke D C, Denney D R, Lynch S G. Depression during exacerbation in multiple sclerosis: The importance of uncertainly. Multiple Sclerosis 2001; 7(4)237–242
   PubMed Web of Science ®Google Scholar
• Lowe B, Kroenke K, Nerzog W, Grafe K. Measuring depression outcome with a brief self-report instrument: Sensitivity to change of the Patient Health Questionnaire (PHQ-9). J Affective Disorders 2004; 81: 61–66
   PubMed Web of Science ®Google Scholar
• Ware J E. SF-36 Health Survey: Manual and Interpretive Guide. The Health Institute, Boston 1993
   Google Scholar
• Fisk J D, Ritvo P G, Ross L, Haase D A, Murray T J, Schlech W F. Measuring the functional impact of fatigue: Initial validation of the Fatigue Impact Scale. Clin Infect Dis 1994; 18(Suppl. 1)S79–83
   PubMed Web of Science ®Google Scholar
• Jensen M P. Pain assessment in clinical trials. Evidence, outcomes, and quality of life in pain treatment, D Carr, H Wittink. Elsevier, Amsterdam, in press
   Google Scholar
• Jensen M P, Karoly P. Self-report scales and procedures for assessing pain in adults. Handbook of pain assessment. 2nd ed, D C Turk, R Melzack. Guilford Publications, New York 2001; 15–34
   Google Scholar
• Hatcher L, Stepanski E J. A step-by-step approach to using the SAS system for univariate and multivariate statistics. 6th ed. SAS Publishing, Cary, NC 2004
   Google Scholar
• Kendall M, Gibbons J. Rank correlation methods. 5th ed. Oxford University Press, New York 1990
   Google Scholar
• STATA 9.1 [computer program]. Version Version 8. StataCorp LP, College Station, TX 2005
   Google Scholar
• SAS 9.1 [computer program]. Version 9.1. SAS Institute Inc., Cary, NC 2003
   Google Scholar
• Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Psychological Rev 1977; 84: 191–215
   PubMed Web of Science ®Google Scholar