title: Factors that predict the post-discharge use of recommended assistive technology (AT).
abstract: OBJECTIVE
  This study investigated the ability of client-, assistive technology (AT)- and intervention-related factors to predict the post-discharge use of rails and bathing, toileting and dressing AT, which had been recommended by an occupational therapist during hospitalisation.
  
  
  METHODS
  A prospective correlational study involving interviews conducted pre and post discharge for those clients who required rails and bathing, toileting and dressing AT was used. Additionally, a direct logistic regression analysis with backwards elimination was performed to identify predictor variables.
  
  
  RESULTS
  Variables found to predict AT use included participants' perceptions of the characteristics of the AT, the presence or absence of anxiety, and their ability to recall AT training. Additionally four other variables (intended post-discharge use of AT, negative perceptions about disability/illness, perceived benefit of the AT and having a choice during the AT selection process) were strongly related to AT use. Although these four variables were not included in the best final model they are nevertheless important and need to be considered when recommending AT.
  
  
  CONCLUSIONS
  The findings suggest that occupational therapists need to ensure that AT is recommended using a client-centred approach, where clients' perceptions and opinions are considered along with their needs and goals. The Matching Person to Technology (MPT) Model is suggested as a useful framework to guide the process of recommending AT.
authors.affiliation: Occupational Therapy Unit, School of Public Health and Tropical Medicine, James Cook University, Townsville, Douglas, Qld 4811, Australia. Trish.Wielandt@jcu.edu.au
authors.forename: Trish
authors.initials: T
authors.lastname: Wielandt
authors.forename: Kryss
authors.initials: K
authors.lastname: Mckenna
authors.forename: Leigh
authors.initials: L
authors.lastname: Tooth
authors.forename: Jenny
authors.initials: J
authors.lastname: Strong
mesh_terms: D000203:Activities of Daily Living; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016009:Chi-Square Distribution; D006233:Persons with Disabilities / Q000534:rehabilitation*; D005260:Female; D006801:Humans; D007407:Interviews as Topic; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010351:Patient Discharge; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012047:Rehabilitation Centers; D012648:Self Care; D012656:Self-Help Devices / Q000706:statistics & numerical data*