Persuasive systems design features in promoting medication management for consumers |
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Author: | Win, Khin Than1; Mullan, Judy1; Howard, Sarah1; |
Organizations: |
1University of Wollongong 2University of Oulu |
Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.2 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2019043013707 |
Language: | English |
Published: |
IEEE Computer Society,
2017
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Publish Date: | 2019-04-30 |
Description: |
AbstractMedication safety continues to be a growing concern in the healthcare industry. Providing medication information to consumers and supporting self- management would help to reduce medication errors and to increase medication adherence. This paper reviews the persuasive systems design features used in current medication management applications for consumers. A database search was conducted to identify relevant articles, which were then reviewed using the Persuasive Systems Design model as a framework for analysis. The results highlighted the applicability of these features for the medication management information systems available to consumers. Primary task support and Dialogue support categories were highly cited in the articles. System credibility support category was moderately cited and the Social support category was cited least in the reviewed articles. Tailoring, monitoring and reminder features have been considered more than the other features in previous studies. see all
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Series: |
Proceedings of the Annual Hawaii International Conference on System Sciences |
ISSN: | 1530-1605 |
ISSN-L: | 1530-1605 |
ISBN Print: | 978-0-9981331-0-2 |
Pages: | 3326 - 3335 |
DOI: | 10.24251/HICSS.2017.403 |
OADOI: | https://oadoi.org/10.24251/HICSS.2017.403 |
Host publication: |
Proceedings of the 50th Annual Hawaii International Conference on Systems Sciences (HICSS 2017) |
Conference: |
Hawaii International Conference on System Sciences |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Copyright information: |
© 2019 The Authors. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |