Using Activity Theory as a Framework for the Usability Evaluation Process and Task Determination in mHealth Self-Management Systems for Diabetes

被引:0
作者
Georgsson, Mattias [1 ]
机构
[1] Blekinge Inst Technol, Fac Comp, S-37179 Karlskrona, Sweden
来源
PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON WEARABLE MICRO AND NANO TECHNOLOGIES FOR PERSONALIZED HEALTH (PHEALTH 2018) | 2018年 / 249卷
关键词
Mobile Health; Activity Theory; Usability Evaluation; Diabetes;
D O I
10.3233/978-1-61499-868-6-158
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
mHealth systems can be used for patients in their diabetes self-management, but usability evaluations are often needed to determine how to make them more useful for the diabetes patient user in the monitoring and managing of their disease. Activity Theory (AT) was developed within Russian psychology to define the work and activity process in an activity system. AT was here considered to also be a particularly suitable framework for inspiration in usability evaluation both for the whole evaluation process and also for the usability task determination in this process for diabetes patient users. In the following paper, examples are provided from four usability studies using both user-based and expert usability methods in evaluation showing how AT was applied to guide the thoughts in evaluating the usability of two mHealth self-management systems for diabetes. Experiences and insights are provided from this process.
引用
收藏
页码:158 / 163
页数:6
相关论文
共 20 条
[1]   Developing an mHealth Framework to Improve Diabetes Self-Management [J].
Khairat, Saif ;
Garcia, Carolyn .
E-HEALTH - FOR CONTINUITY OF CARE, 2014, 205 :533-537
[2]   Using On-line Guided-Self Determination to Provide High Quality Diabetes Self-Management: An Analysis with Activity Theory [J].
Wickramasinghe, Nilmini ;
Rasmussen, Bodil ;
Bodendorf, Freimut ;
Currey, Judy .
PROCEEDINGS OF THE 52ND ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 2019, :4185-4193
[3]   Heuristic Evaluation of a mHealth Diabetes Self-Management System Using Disease Specific Patient Profiles [J].
Georgsson, Mattias ;
Staggers, Nancy .
NURSING INFORMATICS 2016: EHEALTH FOR ALL: EVERY LEVEL COLLABORATION - FROM PROJECT TO REALIZATION, 2016, 225 :530-534
[4]   Diabetes self-management support using mHealth and enhanced informal caregiving [J].
Aikens, James E. ;
Zivin, Kara ;
Trivedi, Ranak ;
Piette, John D. .
JOURNAL OF DIABETES AND ITS COMPLICATIONS, 2014, 28 (02) :171-176
[5]   Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation [J].
Salari, Raheleh ;
Kalhori, Sharareh R. Niakan ;
GhaziSaeedi, Marjan ;
Jeddi, Marjan ;
Nazari, Mahin ;
Fatehi, Farhad .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (06)
[6]   Understanding adolescent type 1 diabetes self-management as an adaptive process: A grounded theory approach [J].
Chilton, Roy ;
Pires-Yfantouda, Renata .
PSYCHOLOGY & HEALTH, 2015, 30 (12) :1486-1504
[7]   Using Targeted mHealth Messages to Address Hypertension and Diabetes Self-Management in Cambodia: Protocol for a Clustered Randomized Controlled Trial [J].
Fitzpatrick, Annette L. ;
van Pelt, Maurits ;
Heang, Hen ;
Steinman, Lesley ;
Ide, Nicole ;
Chhea, Chhorvann ;
LoGerfo, James P. .
JMIR RESEARCH PROTOCOLS, 2019, 8 (03)
[8]   The Determinants of Mental Illness Self-Management for Patients With Schizophrenia and Type 2 Diabetes: A Self-Determination Theory Approach [J].
Lin, I-Chun ;
Yang, Chia-Chi ;
Lin, Esther Ching Lan ;
Chung, Feng-Chin ;
Ching-Yun, Yu .
JOURNAL OF CLINICAL NURSING, 2024,
[9]   Using activity theory to understand learning design requirements of patient self-management environments [J].
Schaffer, Scott ;
Reyes, Lisette ;
Kim, Hannah ;
Collins, Bart .
EDUCATIONAL MEDIA INTERNATIONAL, 2010, 47 (04) :329-342
[10]   A predictive tool for the self-management of diabetes (Librae): evaluation using a continuous glucose monitoring system [J].
Franklin, VL ;
Wilson, AW ;
Butler, RA ;
Greene, SA .
DIABETIC MEDICINE, 2006, 23 (01) :21-25