Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach

Alenazi, Hanan; Jamal, Amr; Batais, Mohammed Ali

doi:10.2196/17083

Cited by 8 publications

(6 citation statements)

References 52 publications

(70 reference statements)

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“…Health care providers use mHealth to access clinical information, collaborate with care teams, communicate over long distances with patients, and facilitate real-time monitoring and interventions. These apps provide an opportunity to increase health care access for vulnerable populations [ 10 ]. Patients use mHealth to track their health data, access their clinical records, and communicate with their providers [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…mHealth offers improved and cost-effective care to people with type 2 DM (T2DM) through improved diabetes self-management [ 25 , 26 ]. These apps seem to increase the perception of self-care by contributing to better knowledge among people with T2DM [ 10 ]. Individuals with DM also become more confident in dealing with their illness, primarily because of decreased fear resulting from a lack of information [ 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

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Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

Salas-Groves¹,

Galyean²,

Alcorn³

et al. 2023

JMIR Mhealth Uhealth

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Background Cardiovascular disease, cancer, diabetes mellitus, and obesity are common chronic diseases, and their prevalence is reaching an epidemic level worldwide. As the impact of chronic diseases continues to increase, finding strategies to improve care, access to care, and patient empowerment becomes increasingly essential. Health care providers use mobile health (mHealth) to access clinical information, collaborate with care teams, communicate over long distances with patients, and facilitate real-time monitoring and interventions. However, these apps focus on improving general health care concerns, with limited apps focusing on specific chronic diseases and the nutrition involved in the disease state. Hence, available evidence on the effectiveness of mHealth apps toward behavior change to improve chronic disease outcomes is limited. Objective The objective of this scoping review was to provide an overview of behavior change effectiveness using mHealth nutrition interventions in people with chronic diseases (ie, cardiovascular disease, diabetes mellitus, cancer, and obesity). We further evaluated the behavior change techniques and theories or models used for behavior change, if any. Methods A scoping review was conducted through a systematic literature search in the MEDLINE, EBSCO, PubMed, ScienceDirect, and Scopus databases. Studies were excluded from the review if they did not involve an app or nutrition intervention, were written in a language other than English, were duplicates from other database searches, or were literature reviews. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, the systematic review process included 4 steps: identification of records through the database search, screening of duplicate and excluded records, eligibility assessment of full-text records, and final analysis of included records. Results In total, 46 studies comprising 256,430 patients were included. There was diversity in the chronic disease state, study design, number of participants, in-app features, behavior change techniques, and behavior models used in the studies. In addition, our review found that less than half (19/46, 41%) of the studies based their nutrition apps on a behavioral theory or its constructs. Of the 46 studies, 11 (24%) measured maintenance of health behavior change, of which 7 (64%) sustained behavior change for approximately 6 to 12 months and 4 (36%) showed a decline in behavior change or discontinued app use. Conclusions The results suggest that mHealth apps involving nutrition can significantly improve health outcomes in people with chronic diseases. Tailoring nutrition apps to specific populations is recommended for effective behavior change and improvement of health outcomes. In addition, some studies (7/46, 15%) showed sustained health behavior change, and some (4/46, 9%) showed a decline in the use of nutrition apps. These results indicate a need for further investigation on the sustainability of the health behavior change effectiveness of disease-specific nutrition apps.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

Salas-Groves¹,

Galyean²,

Alcorn³

et al. 2023

JMIR Mhealth Uhealth

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“…It is worth noting that patients and families are increasingly being required to participate in health monitoring, through daily self-measurement and recording of symptoms or in questionnaires, for diseases such as diabetes, and most recently in the COVID-19 pandemic [ 25 , 26 ]. eHealth market engagement strategies—especially in light of the new patient co-responsibility paradigm—are based on flexibility and customization, with a user-friendly design that makes it possible to communicate with or forward information or data to HCPs [ 27 ]. In its adoption of these strategies, Abilita is in line with a reframed relationship between active citizens and professionals and is intended as a social innovator in the development of a smart community model with the involvement of the proximity network–the app’s core feature.…”

Section: Discussionmentioning

confidence: 99%

A Web-Based Application for Complex Health Care Populations: User-Centered Design Approach

Ferrucci¹,

Jorio²,

Marci³

et al. 2021

JMIR Hum Factors

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Background Although eHealth technology makes it possible to improve the management of complex health care systems and follow up on chronic patients, it is not without challenges, thus requiring the development of efficient programs and graphic user interface (GUI) features. Similar information technology tools are crucial, as health care populations are going to have to endure social distancing measures in the forthcoming months and years. Objective This study aims to provide adequate and personalized support to complex health care populations by developing a specific web-based mobile app. The app is designed around the patient and adapted to specific groups, for example, people with complex or rare diseases, autism, or disabilities (especially among children) as well as Alzheimer or senile dementia. The app’s core features include the collection, labeling, analysis, and sorting of clinical data. Furthermore, it authorizes a network of people around the patient to securely access the data contained in his or her electronic health record. Methods The application was designed according to the paradigms of patient-centered care and user-centered design (UCD). It considers the patient as the main empowered and motivating factor in the management of his or her well-being. Implementation was informed through a family needs and technology perception assessment. We used 3 interdisciplinary focus groups and 2 assessment surveys to study the contexts of app use, subpopulation management, and preferred functions. Finally, we developed an observational study involving 116 enrolled patients and 253 system users, followed by 2 feedback surveys to evaluate the performance and impact of the app. Results In the validated general GUI, we developed 10 user profiles with different privacy settings. We tested 81 functions and studied a modular structure based on disease or medical area. This allowed us to identify replicable methods to be applied to module design. The observational study not only showed good family and community engagement but also revealed some limitations that need to be addressed. In total, 42 of 51 (82%) patients described themselves as satisfied or very satisfied . Health care providers reported facilitated communication with colleagues and the need to support data quality. Conclusions The experimented solution addressed some of the health system challenges mentioned by the World Health Organization: usability appears to be significantly improved when the GUI is designed according to patients’ UCD mental models and when new media and medical literacy are promoted. This makes it possible to maximize the impact of eHealth products, thereby overcoming some crucial gaps reported in the literature. Two main features seemed to have potential benefit compared with other eHealth products: the modeling, within the app, of both the formal...

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“…Interestingly, the option ability to set preferred tabs or activities to create shortcuts for most used functions obtained 37% (19/51) of the responses, suggesting that customization is the best strategy. No relevant issues arose regarding privacy and security (questions 19-20): 57% (29/51) of users had no general problems, 65% (33/51) had no problems entering and classifying data, only 23% (12/51) had problems but overcame them with the Lisa online help or with practice (questions [21][22][23][24][25][26][27][28][29][30].…”

Section: Observational Study Feedback and Validationmentioning

confidence: 99%

A Web-Based Application for Complex Health Care Populations: User-Centered Design Approach (Preprint)

Ferrucci¹,

Jorio²,

Marci³

et al. 2020

Preprint

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BACKGROUND The ABILITA2 project developed an eHealth Application designed around the needs of complex healthcare populations and customizable for specific subpopulations such as persons with rare diseases, autism or age-related dementia. The platform allows the collection, labeling and advanced search of clinical data and socio-medical care information and the creation, by the patient concerned or a legal tutor, of a personalized network of persons who may access his/her Electronic Health Record. OBJECTIVE The platform has been designed according to the paradigms of patient-centered care and user-centered design and considers the Patient as the main empowered and motivating actor of the management of his/her wellbeing. METHODS With interdisciplinary Focus groups, sub-population management has been assessed by means of surveys, questionnaires and meetings with 5 patients’ associations. Finally, by means of an observational study and follow-up questionnaire, the performance and impact of the platform have been evaluated. RESULTS In an overall evaluation, 82.5% of responders affirmed to be “much” or “very much” satisfied, positively reporting the possibility of self-management. Replicable models of analysis and design for other subpopulations have been identified. The platform is presently one of the few eHealth solutions available in Italy that are also applicable to pediatric groups of complex chronic diseases. CONCLUSIONS The decision to center the project on patients’ needs was found to be a success factor, with evidence of greater involvement of the patient compared to professional figures; it has been balanced by functions of control to support data quality. The experimented solution allows to address some of the health system challenges mentioned by WHO: usability appears to be significantly improved when the GUI is designed according to patient’s mental models and when new media and medical literacy are promoted, overcoming crucial gaps reported in literature for maximizing the impact of eHealth products.

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Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach

Cited by 8 publications

References 52 publications

Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

A Web-Based Application for Complex Health Care Populations: User-Centered Design Approach

A Web-Based Application for Complex Health Care Populations: User-Centered Design Approach (Preprint)

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