Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

Y Zhang, A Pratap, AA Folarin, S Sun, N Cummins… - NPJ digital …, 2023 - nature.com
Recent growth in digital technologies has enabled the recruitment and monitoring of large
and diverse populations in remote health studies. However, the generalizability of inference …

Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants

A Pratap, EC Neto, P Snyder, C Stepnowsky… - NPJ digital …, 2020 - nature.com
Digital technologies such as smartphones are transforming the way scientists conduct
biomedical research. Several remotely conducted studies have recruited thousands of …

[HTML][HTML] Challenges in using mHealth data from smartphones and wearable devices to predict depression symptom severity: retrospective analysis

S Sun, AA Folarin, Y Zhang, N Cummins… - Journal of medical …, 2023 - jmir.org
Background Major depressive disorder (MDD) affects millions of people worldwide, but
timely treatment is not often received owing in part to inaccurate subjective recall and …

Factors influencing user engagement with digital mental health interventions

J Borghouts, C Pretorius, A Ayobi, S Abdullah… - Frontiers in Digital …, 2023 - frontiersin.org
Interventions includes 8 articles to further investigate the various factors influencing user
engagement and to what extent current DMHIs take these factors into account. Using a …

Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression

A Pratap, A Homiar, L Waninger, C Herd, C Suver… - Scientific Data, 2022 - nature.com
Most people with mental health disorders cannot receive timely and evidence-based care
despite billions of dollars spent by healthcare systems. Researchers have been exploring …

Digitally managing depression: A fully remote randomised attention-placebo controlled trial

A Kandola, K Edwards, MAE Muller… - Digital …, 2024 - journals.sagepub.com
Background Depression is a common and disabling condition. Digital apps may augment or
facilitate care, particularly in under-served populations. We tested the efficacy of juli, a digital …

[HTML][HTML] Beyond the trial: systematic review of real-world uptake and engagement with digital self-help interventions for depression, low mood, or anxiety

T Fleming, L Bavin, M Lucassen, K Stasiak… - Journal of medical …, 2018 - jmir.org
Background Digital self-help interventions (including online or computerized programs and
apps) for common mental health issues have been shown to be appealing, engaging, and …

[HTML][HTML] Digital mental health interventions for depression: scoping review of user engagement

JM Lipschitz, R Van Boxtel, J Torous, J Firth… - Journal of medical …, 2022 - jmir.org
Background While many digital mental health interventions (DMHIs) have been found to be
efficacious, patient engagement with DMHIs has increasingly emerged as a concern for …

Determinants and outcome correlates of engagement with a mobile mental health intervention for depression and anxiety in middleaged and older adults

AJ Alfaro, J Wielgosz, E Kuhn… - Journal of Clinical …, 2024 - Wiley Online Library
Objectives To examine baseline factors (ie, age, gender, mobile device proficiency, sensory
impairment) associated with app engagement in a 12week mental health app intervention …

Digital health tools for the passive monitoring of depression: a systematic review of methods

V De Angel, S Lewis, K White, C Oetzmann… - NPJ digital …, 2022 - nature.com
The use of digital tools to measure physiological and behavioural variables of potential
relevance to mental health is a growing field sitting at the intersection between computer …