The Participation and Activity Measurement System: An example application among people who use wheeled mobility devices

References

• Desrosiers J. Participation and occupation. Can J Occup Ther 2005;72:195–203.
   PubMedGoogle Scholar
• Dijkers M. Community integration: Conceptual issues and measurement approaches in rehabilitation research. Top Spinal Cord Injury Rehabil 1998;4:1–15.
   Google Scholar
• Harris FH. Conceptual issues in the measurement of participation among wheeled mobility device users. Disabil Rehabil: Assistive Technol 2007;2:137–148.
   PubMedGoogle Scholar
• Perenboom RJ, Chorus AM. Measuring participation according to the international classification of functioning, disability and health (ICF). Disabil Rehabil 2003;25:577–587.
   PubMed Web of Science ®Google Scholar
• ICF. International Classification of Functioning, Disability and Health. Geneva: World Health Organization, 2001.
   Google Scholar
• Willer B, Ottenbacher JJ, Coad ML. The community integration questionnaire: A comparative examination. Am J Phys Med Rehabil 1994;73:103–111.
   PubMed Web of Science ®Google Scholar
• Cummins R, Lau A. Community integration or community exposure? A review discussion in relation to people with an intellectual disability. J Appl Res Intellect Disabil 2003;16:145.
   Web of Science ®Google Scholar
• Lund M, Nordlund A, Nygard L, Lexell J, Bernspang B. Perceptions of participation and predictors of perceived problems with participation in persons with spinal cord injury. J Rehabil Med 2005;37:3–8.
   PubMed Web of Science ®Google Scholar
• Brown M, Dijkers MP, Gordon WA, Ashman T, Charatx T, Cheng Z. Participation objective, participation subjective: A measure of participation combining outsider and insider perspectives. J Head Trauma Rehabil 2004;19:459–481.
   PubMed Web of Science ®Google Scholar
• Cardol M, deJong B, Ward CD. On autonomy and participation in rehabilitation. Disabil Rehabil 2002;24:970–974.
   PubMed Web of Science ®Google Scholar
• Novick A, Rodinelli R. Impairment and disability under workers' compensation. In: Rodinelli R, Katz R, editors. Impairment rating and disability evaluation. Philadelphia: W.B. Saunders Company; 2000. pp 141–157.
   Google Scholar
• Fuhrer MJ, Jutai J, Scherer MJ, DeRuyter F. A Framework for the Conceptual Modelling of Assistive Technology Device Outcomes. Disabil Rehabil 2003;25(22):1243–1251.
   PubMedGoogle Scholar
• Cooper RA, Thorman T, Cooper R, Dvorznak MJ, Fitzgerald SG, Ammer W, Song-Feng G, Boninger ML. Driving characteristics of electric-powered wheelchair users: How far, fast, and often do people drive. Arch Phys Med Rehabil 2002;83:250–255.
   PubMed Web of Science ®Google Scholar
• Shikada M, Okuno A, Tokunaga M, Matsuda N. The utility of renewal system for barrier-free map by using remote sensing and RTK-GPS. In: Geoscience and Remote Sensing Symposium (IGARSS '04). Anchorage Alaska; 20–24 September, 2004. pp 4833–4835.
   Google Scholar
• International Disability Rights. Compendium 2003. Chicago: Center for International Rehabilitation; 2003.
   Google Scholar
• NOD. Harris survey. Washington, DC.: National Organization of Disability (NOD); 2000.
   Google Scholar
• Jette A, Haley S, Kooyoomjian J. Are the ICF activity and participation dimensions distinct. J Rehabil Med 2003;35:145–149.
   PubMed Web of Science ®Google Scholar
• Willer B, Ottenbacher JJ, Coad ML. The community integration questionnaire: A comparative examination. Am J Phys Med Rehabil 1994;73:103–111.
   PubMed Web of Science ®Google Scholar
• Noreau L, Desrosiers J, Robichaud L, Fougeyrollas P, Rochette A, Viscogilosi C. Measuring social participation: Reliability of the LIFE-H in older adults with disabilities. Disabil Rehabil 2004;26:346–352.
   PubMed Web of Science ®Google Scholar
• Whiteneck GG, et al Quantifying handicap: A new measure of long-term rehabilitation outcomes. Arch Phys Med Rehabil 1992;73:519–526.
   PubMed Web of Science ®Google Scholar
• Gray D, Hollingsworth H, Morgan K. Group differences in community participation by mobility device use. In RESNA Conference, Atlanta, GA, 2006.
   Google Scholar
• Gray DB, Hollingsworth HH, Stark SL, Morgan KA. PARTS/M: Psychometric properties of a measure of participation for people with mobility impairments and limitations. Arch Phys Med Rehabil 2006;87:189–197.
   PubMed Web of Science ®Google Scholar
• Schwarz N. Self-reports: How the questions shape the answers. Am Psychol 1999;54:93–105.
   Web of Science ®Google Scholar
• Harrison DA, McLaughlin ME, Coalter TM. Context, cognition, and common method variance: Psychometric and verbal protocol evidence. Organizational Behav Hum Decision Processes 1996;68:246–261.
   Web of Science ®Google Scholar
• Pepper S. Problems in the quantification of frequency expressions, in problems with language imprecision. In: Fisker D, editor. New directions for methodology of social and behavior science. San Francisco: Jossey-Bass; 1981. pp 25–41.
   Google Scholar
• Schwarz N, Bienias J. What mediates the impact of response alternatives on frequency reports of mundane behaviors. Appl Cogn Psychol 1990;4:61–72.
   Web of Science ®Google Scholar
• Cardol M, DeHaan RJ, van den Bos GA, DeJong BA, deGroot IJ. The development of a handicap assessment questionnaire: The impact on participation and autonomy. Clin Rehabil 1999;13:411–419.
   PubMed Web of Science ®Google Scholar
• Sonenblum SE, Sprigle S, Harris FH, Maurer CL. Characterization of power wheelchair use in the home and community. Arch Phys Med Rehabil 2008;89:486–491.
   PubMed Web of Science ®Google Scholar
• Sonenblum SE, Sprigle S, Maurer C. Use of powered tilt systems in everyday life. Disabil Rehabil: Assistive Technol 2009;4:24–30.
   PubMedGoogle Scholar
• Sprigle S, Sposato B. Physiologic effects and design considerations of tilt-and-recline wheelchairs. Orthop Phys Ther Clin North Am 1997;6:99–122.
   Google Scholar
• Stopher P. Using passive GPS as a means to improve spatial travel data. In 7th International Conference on Applications of Advanced Technologies to Transportation, Cambridge, MA, 2001.
   Google Scholar
• Stopher P, Bullock P, Horst F. Conducting a GPS survey with a time-use diary. In Annual Meeting of the Transportation Research Board, Washington, DC, 2003.
   Google Scholar
• Wagner D. Global positioning systems for personal travel surveys: Lexington area travel data collection test, In Report to the Federal Highway Administration, U.S. DOT, Battelle Transportation Division: Washington, D.C, 1997.
   Google Scholar
• Wolf J. Applications of new technologies in travel surveys. In International Conference on Transport Survey Quality and Innovation, Costa Rica, 2004.
   Google Scholar
• Wolf JR, Guensler R, Washington S, Frank L. The use of electronic travel diaries and vehicle instrumentation packages in the year 2000 Atlanta regional household travel survey, in personal travel: The long and short of IT. Washington, DC: The Transportation Research Board; 1999.
   Google Scholar
• Wolf J, Oliveira M, Thompson M. The impact of trip underreporting on vmt and travel time estimates: Preliminary findings from the california statewide household travel survey GPS study. In Proceedings of the 82th Annual Meeting of the Transportation Research Board, Washington, DC, 2003.
   Google Scholar
• Turner-Bowker D, Bayliss MS, Ware JE, Kosinski M. Usefulness of the SF-8™ Health survey for comparing the impact of migraine and other conditions. Qual Life Res 2003:12:1003–1012.
   PubMed Web of Science ®Google Scholar
• Ware J Jr. Improvements in short-form measures of health status: Introduction to a series. J Clin Epidemiol 2008;61:1–5.
   PubMed Web of Science ®Google Scholar
• Weiss-Lambrou T, Tremblay C, Lacoste M, Dansereau J. Wheelchair seating aids: How satisfied are consumers? Assistive Technol 1999;11:43–53.
   Web of Science ®Google Scholar