Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19655
Title: A Functional Analysis Of An Assistive Device Information Database in Flanders: A Qualitative Study
Authors: Cardinaels, Loes
VERBRUGGHE, Jonas 
HAESEN, Mieke 
Schouten, Ben
CECCARELLI, Bianca 
TIMMERMANS, Annick 
SPOOREN, Annemie 
Issue Date: 2015
Source: ASSISTIVE TECHNOLOGY, 217, p. 946-950
Abstract: Since 1989-1990, Vlibank is the Flemish AT information database managed by the Flemish government and aims to have a complete overview of AT devices in Flanders. The growing AT market increases the need for unbiased information on AT. However, maintaining and keeping a database up-to-date is a very challenging task. Because of recent changes in policy, the Flemish government needs to be able to reimburse a bigger group of AT devices, but also the changing needs of a larger group of people, regardless of their age. Because the crucial role of an AT information database in the selection of AT devices and the effectiveness of the service delivery, a functional analysis of an online information database is made. This paper describes the qualitative part of the study, in particular the focus groups that were held to gather views of three groups of stakeholders. Preliminary results indicate that there is consensus on the information needs next to product information and on the use of generic questions as a selection tool for AT devices. The biggest issue raised is the difficulty of keeping an information database up-to-date, especially for individualized devices. All participants, except one, are very wary of the use of user ratings and reviews.
Notes: Correspondence Address: Loes Cardinaels, PXL University College, Guffenslaan 39, 3500 Hasselt, BELGIUM. loes.cardinaels@pxl.be.
Keywords: assistive technology; information database; qualitative design; focus groups
Document URI: http://hdl.handle.net/1942/19655
ISSN: 1040-0435
e-ISSN: 1949-3614
DOI: 10.3233/978-1-61499-566-1-946
Category: A1
Type: Journal Contribution
Validations: vabb 2017
Appears in Collections:Research publications

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