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MeSH Review

Self-Help Devices

 
 
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Disease relevance of Self-Help Devices

  • OBJECTIVES: To examine use of an assistive device, a long-handled bath sponge (LHBS) in patients with rheumatoid arthritis and osteoarthritis to describe use from the time of in-hospital prescription to the 2- and 12-month followups, and to describe the characteristics of those who became device users and non-users [1].
  • OBJECTIVE: This study describes the types of assistive devices in the possession of persons with multiple sclerosis (MS) and identifies factors that best predicted the probability of possessing these devices [2].
 

High impact information on Self-Help Devices

  • Survey of the use and effect of assistive devices in patients with early rheumatoid arthritis: a two-year followup of women and men [3].
  • The aim of the study was to demonstrate whether an interdisciplinary approach to evaluating and prescribing assistive technology reduces equipment abandonment in persons with MS [4].
  • The proposed framework is based on the theoretical concepts and terminology from classical science, assistive technology development, human-computer interaction, and previous BI-related works [5].
  • DESIGN: Seven patients who walked with physical assistance (FIM 4) after stroke and 13 who walked independently with assistive devices (FIM 6) were compared with 13 healthy subjects [6].
  • Computer assisted orthopaedic surgery. Image guided and robotic assistive technologies [7].
 

Biological context of Self-Help Devices

 

Associations of Self-Help Devices with chemical compounds

 

Gene context of Self-Help Devices

  • PURPOSE: The paper presents the main outline of a new research project carried out by the SIVA research team concerning the development of methodologies to select and use assistive technology to allow children with motor disabilities to play with toys [11].
  • The impact of electronic assistive devices (ie, the environmental control system or ECS) on the day-to-day living of high-level quadriplegics (C3-C5) was studied [12].
  • All completed the Life Orientation Test and the Psychosocial Impact of Assistive Devices Scale [13].
  • Carpal tunnel syndrome in the nonparetic hands of hemiplegics. Stress-induced by ambulatory assistive devices [14].
  • INTERVENTIONS: Counselor training in the Matching Person and Technology (MPT) Model and consumer completion of the MPT measure, Assistive Technology Device Predisposition Assessment (ATD PA) [15].
 

Analytical, diagnostic and therapeutic context of Self-Help Devices

References

  1. Trajectory of assistive device usage and user and non-user characteristics: long-handled bath sponge. Rogers, J.C., Holm, M.B., Perkins, L. Arthritis Rheum. (2002) [Pubmed]
  2. Describing and predicting the possession of assistive devices among persons with multiple sclerosis. Finlayson, M., Guglielmello, L., Liefer, K. The American journal of occupational therapy. : official publication of the American Occupational Therapy Association. (2001) [Pubmed]
  3. Survey of the use and effect of assistive devices in patients with early rheumatoid arthritis: a two-year followup of women and men. Thyberg, I., Hass, U.A., Nordenskiöld, U., Skogh, T. Arthritis Rheum. (2004) [Pubmed]
  4. An interdisciplinary approach to evaluating the need for assistive technology reduces equipment abandonment. Verza, R., Carvalho, M.L., Battaglia, M.A., Uccelli, M.M. Mult. Scler. (2006) [Pubmed]
  5. A general framework for characterizing studies of brain interface technology. Mason, S.G., Jackson, M.M., Birch, G.E. Annals of biomedical engineering. (2005) [Pubmed]
  6. Does balance or motor impairment of limbs discriminate the ambulatory status of stroke survivors? Au-Yeung, S.S., Ng, J.T., Lo, S.K. American journal of physical medicine & rehabilitation / Association of Academic Physiatrists. (2003) [Pubmed]
  7. Computer assisted orthopaedic surgery. Image guided and robotic assistive technologies. DiGioia, A.M., Jaramaz, B., Colgan, B.D. Clin. Orthop. Relat. Res. (1998) [Pubmed]
  8. Determinants of gait performance following spinal cord injury. Waters, R.L., Yakura, J.S., Adkins, R., Barnes, G. Archives of physical medicine and rehabilitation. (1989) [Pubmed]
  9. Assistive technology to improve PC interaction for people with intention tremor. Feys, P., Romberg, A., Ruutiainen, J., Davies-Smith, A., Jones, R., Avizzano, C.A., Bergamasco, M., Ketelaer, P. Journal of rehabilitation research and development. (2001) [Pubmed]
  10. Automatic speech recognition and training for severely dysarthric users of assistive technology: the STARDUST project. Parker, M., Cunningham, S., Enderby, P., Hawley, M., Green, P. Clinical linguistics & phonetics. (2006) [Pubmed]
  11. An Italian research project to study the play of children with motor disabilities: the first year of activity. Besio, S. Disability and rehabilitation. (2002) [Pubmed]
  12. Electronic assistive devices: their impact on the quality of life of high level quadriplegic persons. Efthimiou, J., Gordon, W.A., Sell, G.H., Stratford, C. Archives of physical medicine and rehabilitation. (1981) [Pubmed]
  13. Is telephone assessment a valid tool in rehabilitation research and practice? Day, H., Campbell, K.A. Disability and rehabilitation. (2003) [Pubmed]
  14. Carpal tunnel syndrome in the nonparetic hands of hemiplegics. Stress-induced by ambulatory assistive devices. Kellner, W.S., Felsenthal, G., Anderson, J.M., Hilton, E.B., Mondell, D.L. Orthopaedic review. (1986) [Pubmed]
  15. Predictors of assistive technology use: the importance of personal and psychosocial factors. Scherer, M.J., Sax, C., Vanbiervliet, A., Cushman, L.A., Scherer, J.V. Disability and rehabilitation. (2005) [Pubmed]
  16. Hearing specific and generic measures of the psychosocial impact of hearing aids. Saunders, G.H., Jutai, J.W. Journal of the American Academy of Audiology. (2004) [Pubmed]
 
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