Factors that predict the post-discharge use of recommended assistive technology (AT)
Wielandt, Trish, McKenna, Kryss, Tooth, Leigh, and Strong, Jenny (2006) Factors that predict the post-discharge use of recommended assistive technology (AT). Disability and Rehabilitation: Assistive Technology, 1 (1-2). pp. 29-40.
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Purpose. 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.
Method. 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.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||assistive technology; factors predicting use; occupational therapy|
|FoR Codes:||11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111708 Health and Community Services @ 50%|
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111703 Care for Disabled @ 50%
|SEO Codes:||92 HEALTH > 9202 Health and Support Services > 920201 Allied Health Therapies (excl. Mental Health Services) @ 100%|
|Deposited On:||22 Sep 2009 09:41|
|Last Modified:||02 Nov 2012 09:12|
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