Usability Pitfalls of Diabetes mHealth Apps for the Elderly
Diabetes mellitus has high prevalence in the ageing population and is often accompanied by other comorbidities, such as Alzheimer’s disease, and general disabilities, such as poor eyesight. These comorbidities have redefined ways in which patients use mHealth apps, including diabetes apps. The latte...
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doaj-4b49c37874f1496c97c7bc24e115d1822020-11-25T00:59:59ZengHindawi LimitedJournal of Diabetes Research2314-67452314-67532016-01-01201610.1155/2016/16046091604609Usability Pitfalls of Diabetes mHealth Apps for the ElderlyMaša Isaković0Urban Sedlar1Mojca Volk2Janez Bešter3Faculty of Electrical Engineering, University of Ljubljana, Tržaška Cesta 25, SI-1000, Ljubljana, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Tržaška Cesta 25, SI-1000, Ljubljana, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Tržaška Cesta 25, SI-1000, Ljubljana, SloveniaFaculty of Electrical Engineering, University of Ljubljana, Tržaška Cesta 25, SI-1000, Ljubljana, SloveniaDiabetes mellitus has high prevalence in the ageing population and is often accompanied by other comorbidities, such as Alzheimer’s disease, and general disabilities, such as poor eyesight. These comorbidities have redefined ways in which patients use mHealth apps, including diabetes apps. The latter have proven benefits for monitoring blood glucose levels and insulin tracking in the general population. In this paper, we analyse a diabetes monitoring app DeStress Assistant (DeSA), which was developed as a part of an EU project and tested in a hospital setting. Due to the increasing number of older adults, we wanted to ensure the app was suitable for that demographic. Based on a number of supervised tests, we show that the app, which was developed with the help of workshops and feedback from tech-savvy patients and clinicians, is difficult to use by elderly users. We demonstrate that with a small number of changes it is possible to raise the usability of the app in a number of categories. We summarise the lessons learned in the discussion. Our findings demonstrate that special care needs to be taken when developing mHealth apps for the elderly population.http://dx.doi.org/10.1155/2016/1604609 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maša Isaković Urban Sedlar Mojca Volk Janez Bešter |
spellingShingle |
Maša Isaković Urban Sedlar Mojca Volk Janez Bešter Usability Pitfalls of Diabetes mHealth Apps for the Elderly Journal of Diabetes Research |
author_facet |
Maša Isaković Urban Sedlar Mojca Volk Janez Bešter |
author_sort |
Maša Isaković |
title |
Usability Pitfalls of Diabetes mHealth Apps for the Elderly |
title_short |
Usability Pitfalls of Diabetes mHealth Apps for the Elderly |
title_full |
Usability Pitfalls of Diabetes mHealth Apps for the Elderly |
title_fullStr |
Usability Pitfalls of Diabetes mHealth Apps for the Elderly |
title_full_unstemmed |
Usability Pitfalls of Diabetes mHealth Apps for the Elderly |
title_sort |
usability pitfalls of diabetes mhealth apps for the elderly |
publisher |
Hindawi Limited |
series |
Journal of Diabetes Research |
issn |
2314-6745 2314-6753 |
publishDate |
2016-01-01 |
description |
Diabetes mellitus has high prevalence in the ageing population and is often accompanied by other comorbidities, such as Alzheimer’s disease, and general disabilities, such as poor eyesight. These comorbidities have redefined ways in which patients use mHealth apps, including diabetes apps. The latter have proven benefits for monitoring blood glucose levels and insulin tracking in the general population. In this paper, we analyse a diabetes monitoring app DeStress Assistant (DeSA), which was developed as a part of an EU project and tested in a hospital setting. Due to the increasing number of older adults, we wanted to ensure the app was suitable for that demographic. Based on a number of supervised tests, we show that the app, which was developed with the help of workshops and feedback from tech-savvy patients and clinicians, is difficult to use by elderly users. We demonstrate that with a small number of changes it is possible to raise the usability of the app in a number of categories. We summarise the lessons learned in the discussion. Our findings demonstrate that special care needs to be taken when developing mHealth apps for the elderly population. |
url |
http://dx.doi.org/10.1155/2016/1604609 |
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