Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Accounting for medication particularities: designing for everyday medication management

Dalgaard, Lea, Grönvall, Erik and Verdezoto, Nervo ORCID: https://orcid.org/0000-0001-5006-4262 2013. Accounting for medication particularities: designing for everyday medication management. Presented at: 7th International Conference on Pervasive Computing Technologies for Healthcare, Venice, Italy, 5-8 May 2013. 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops. IEEE, pp. 137-144. 10.4108/icst.pervasivehealth.2013.252058

Full text not available from this repository.

Abstract

Several projects have shown that self-management of medication in private homes can be challenging. Many projects focused on specific illness-related approaches (e.g. diabetes) or practical issues such as how to handle medication while travelling. However, designing for everyday medication management involves more than just specific illness-related strategies and should take into account the broad set of activities conforming people’s everyday life. This study investigates how older adults manage their medication in everyday life. To inform the design of pervasive healthcare medication management systems (PHMMS), the study calls for attention to medication-specific particularities that account for: according to need medication, the heterogeneous care network, the substitute medication, the medication informational order, the shared responsibility and the adjustment of medication intake. These medication particularities can enhance the individual’s medication overview and support the understanding of medication intake in everyday life. The study also presents five design principles for future design of PHMMS.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Publisher: IEEE
ISBN: 9781936968800
Last Modified: 07 Nov 2022 09:31
URI: https://orca.cardiff.ac.uk/id/eprint/129379

Citation Data

Cited 16 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item