Users’ preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives

Adu, Mary D.; Malabu, Usman H.; Malau‐Aduli, A.E.O.; Malau‐Aduli, Bunmi S.

doi:10.1371/journal.pone.0208942

Cited by 69 publications

(56 citation statements)

References 63 publications

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“…Specific features and educational content in My Care Hub were chosen based on users' needs and preferences 27 . This is an added strength of the app which is often lacking in many health apps that are developed without considering the needs of the end users or guidelines for the management of such diseases 59,60 .…”

Section: Discussionmentioning

confidence: 99%

“…An expert advisory group comprising diabetes educators, endocrinologists, health researchers and app developers worked as a team to make decisions regarding My Care Hub. Implications of the users' needs analysis study findings and effectiveness of identified health behavioural change interventions were discussed by the team 27 . Results were prioritized, adjusted and refined before a final agreement on the selection of My Care Hub features, design and content in order to meet the requested needs of users as much as possible.…”

Section: Health Behavioural Change Theory Maximizing the Potential Ementioning

confidence: 99%

“…People with type 1 or type 2 diabetes were the primary target users of My Care Hub, hence their involvement in the development process, in order to gather information and ideas for appropriate design and educational content of the app. We performed a need analysis study among a multinational audience of people with type 1 or type 2 diabetes using a mixed methods study design 27 . The study elucidated diabetes patients' app feature preferences and explored their recommendations for inclusion to promote engagement with My Care Hub diabetes app.…”

mentioning

confidence: 99%

“…Basic guideline information for diabetes self-management was perceived to be highly beneficial. Full details of the findings of the needs analysis study have been published 27 .…”

mentioning

confidence: 99%

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The development of My Care Hub Mobile-Phone App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes

Adu

Malabu

Malau‐Aduli

et al. 2020

Sci Rep

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Non-adherence to self-management poses a serious risk to diabetes complications. Digital behavioural change interventions have the potential to provide education and motivate users to regularly engage with self-management of diabetes. This paper describes the development of My Care Hub mobile phone application (app) aimed at supporting self-management in people with type 1 or type 2 diabetes. the development of My care Hub involved a comprehensive process of healthy behavioural change identification, end users' needs, expert consensus, data security and privacy considerations. The app translation was a highly iterative process accompanied by usability testing and design modification. The app development process included: (1) behaviour change strategy selection; (2) users' involvement; (3) expert advisory involvement; (4) data security and privacy considerations; (5) design creation and output translation into a smartphone app and (6) two usability testings of the app prototype version. the app features include self-management activities documentation, analytics, personalized and generalized messages for diabetes self-management as well as carbohydrate components of common foods in Australia. Twelve respondents provided feedback on the usability of the app. Initially, a simplification of the documentation features of the app was identified as a need to improve usability. Overall, results indicated good user satisfaction rate.

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Section: Discussionmentioning

confidence: 99%

Section: Health Behavioural Change Theory Maximizing the Potential Ementioning

confidence: 99%

mentioning

confidence: 99%

“…Basic guideline information for diabetes self-management was perceived to be highly beneficial. Full details of the findings of the needs analysis study have been published 27 .…”

mentioning

confidence: 99%

See 2 more Smart Citations

The development of My Care Hub Mobile-Phone App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes

Adu

Malabu

Malau‐Aduli

et al. 2020

Sci Rep

Self Cite

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“…Digital and social technologies (eg, social media, smartphone apps, and wearable devices) have promising potential for achieving rapid and widespread health behavior change. Social media has been used to change and predict a number of health-related behaviors, including HIV testing and sexually transmitted diseases, suicide prevention, car crashes, and opioid-related emergency department visits [ 1 - 7 ]; Fitbits and self-tracking devices have been proposed as intervention tools to increase exercise [ 8 , 9 ] and reduce stress; health systems and insurers have integrated wearable device, social media and patient health/medical data to try to improve clinical outcomes [ 10 , 11 ]; and smartphone apps have be studied for their potential to improve a variety of health behaviors and outcomes, such as weight loss and diabetes self-management [ 12 - 14 ].…”

Section: Introductionmentioning

confidence: 99%

The Adaptive Behavioral Components (ABC) Model for Planning Longitudinal Behavioral Technology-Based Health Interventions: A Theoretical Framework

Young

2020

J Med Internet Res

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A growing number of interventions incorporate digital and social technologies (eg, social media, mobile phone apps, and wearable devices) into their design for behavior change. However, because of a number of factors, including changing trends in the use of technology over time, results on the efficacy of these interventions have been mixed. An updated framework is needed to help researchers better plan behavioral technology interventions by anticipating the needed resources and potential changes in trends that may affect interventions over time. Focusing on the domain of health interventions as a use case, we present the Adaptive Behavioral Components (ABC) model for technology-based behavioral interventions. ABC is composed of five components: basic behavior change; intervention, or problem-focused characteristics; population, social, and behavioral characteristics; individual-level and personality characteristics; and technology characteristics. ABC was designed with the goals of (1) guiding high-level development for digital technology–based interventions; (2) helping interventionists consider, plan for, and adapt to potential barriers that may arise during longitudinal interventions; and (3) providing a framework to potentially help increase the consistency of findings among digital technology intervention studies. We describe the planning of an HIV prevention intervention as a case study for how to implement ABC into intervention design. Using the ABC model to plan future interventions might help to improve the design of and adherence to longitudinal behavior change intervention protocols; allow these interventions to adapt, anticipate, and prepare for changes that may arise over time; and help to potentially improve intervention behavior change outcomes. Additional research is needed on the influence of each of ABC’s components to help improve intervention design and implementation.

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Human–Machine Requirements’ Convergence for the Design of Assistive Navigation Software: Τhe Case of Blind or Visually Impaired People

Theodorou

Μηλιώνης

2021

Learning and Analytics in Intelligent Systems

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