[HTML][HTML] Factors influencing adherence to mHealth apps for prevention or management of noncommunicable diseases: systematic review

R Jakob, S Harperink, AM Rudolf, E Fleisch… - Journal of Medical …, 2022 - jmir.org
Background Mobile health (mHealth) apps show vast potential in supporting patients and
health care systems with the increasing prevalence and economic costs of …

[HTML][HTML] Rates of attrition and dropout in app-based interventions for chronic disease: systematic review and meta-analysis

G Meyerowitz-Katz, S Ravi, L Arnolda, X Feng… - Journal of medical …, 2020 - jmir.org
Background Chronic disease represents a large and growing burden to the health care
system worldwide. One method of managing this burden is the use of app-based …

Continuance intention of online technologies: A systematic literature review

M Yan, R Filieri, M Gorton - International Journal of Information …, 2021 - Elsevier
Given the dynamic nature of digital technologies, understanding why users intend to
continue to use them or not is important for practitioners and academics alike. This paper …

Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis

O Perski, A Blandford, R West… - Translational behavioral …, 2017 - academic.oup.com
Abstract “Engagement” with digital behaviour change interventions (DBCIs) is considered
important for their effectiveness. Evaluating engagement is therefore a priority; however, a …

[HTML][HTML] Sociotechnical factors affecting patients' adoption of mobile health tools: systematic literature review and narrative synthesis

C Jacob, E Sezgin, A Sanchez-Vazquez… - JMIR mHealth and …, 2022 - mhealth.jmir.org
Background Mobile health (mHealth) tools have emerged as a promising health care
technology that may contribute to cost savings, better access to care, and enhanced clinical …

A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring

E Chen, S Prakash, V Janapa Reddi, D Kim… - Nature Biomedical …, 2023 - nature.com
The complex relationships between continuously monitored health signals and therapeutic
regimens can be modelled via machine learning. However, the clinical implementation of …

Mobile apps for healthy living: Factors influencing continuance intention for health apps

M Yan, R Filieri, E Raguseo, M Gorton - Technological Forecasting and …, 2021 - Elsevier
The desire to maintain a healthy lifestyle is growing amongst consumers globally as well as
the adoption of health apps. Prior research investigates what affects adoption of a health …

The emerging field of mobile health

SR Steinhubl, ED Muse, EJ Topol - Science translational medicine, 2015 - science.org
The surge in computing power and mobile connectivity have fashioned a foundation for
mobile health (mHealth) technologies that can transform the mode and quality of clinical …

[HTML][HTML] IntelliCare: an eclectic, skills-based app suite for the treatment of depression and anxiety

DC Mohr, KN Tomasino, EG Lattie, HL Palac… - Journal of medical …, 2017 - jmir.org
Background Digital mental health tools have tended to use psychoeducational strategies
based on treatment orientations developed and validated outside of digital health. These …

Barriers and negative nudges: Exploring challenges in food journaling

F Cordeiro, DA Epstein, E Thomaz, E Bales… - Proceedings of the 33rd …, 2015 - dl.acm.org
Although food journaling is understood to be both important and difficult, little work has
empirically documented the specific challenges people experience with food journals. We …