[HTML][HTML] Evidence synthesis of digital interventions to mitigate the negative impact of the COVID-19 pandemic on public mental health: rapid meta-review

C Rauschenberg, A Schick, D Hirjak, A Seidler… - Journal of medical …, 2021 - jmir.org
Background Accumulating evidence suggests the COVID-19 pandemic has negative effects
on public mental health. Digital interventions that have been developed and evaluated in …

There is an app for that! The current state of mobile applications (apps) for DSM‐5 obsessive‐compulsive disorder, posttraumatic stress disorder, anxiety and mood …

M Van Ameringen, J Turna, Z Khalesi… - Depression and …, 2017 - Wiley Online Library
Mental health apps are viewed as a promising modality to extend the reach of mental health
care beyond the clinic. They do so by providing a means of assessment, tracking, and …

The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials

J Firth, J Torous, J Nicholas, R Carney… - World …, 2017 - Wiley Online Library
The rapid advances and adoption of smartphone technology presents a novel opportunity
for delivering mental health interventions on a population scale. Despite multi‐sector …

[PDF][PDF] IT-Enabled Self-Monitoring for Chronic Disease Self-Management: An Interdisciplinary Review.

J Jiang, AF Cameron - MIS quarterly, 2020 - researchgate.net
Self-monitoring is a strategy that patients use to manage their chronic disease and chronic
disease risk factors. Technological advances such as mobile apps, web-based tracking …

[HTML][HTML] iHealth: The ethics of artificial intelligence and big data in mental healthcare

G Rubeis - Internet interventions, 2022 - Elsevier
The concept of intelligent health (iHealth) in mental healthcare integrates artificial
intelligence (AI) and Big Data analytics. This article is an attempt to outline ethical aspects …

[HTML][HTML] Mobile phone and wearable sensor-based mHealth approaches for psychiatric disorders and symptoms: systematic review

J Seppälä, I De Vita, T Jämsä, J Miettunen… - JMIR mental …, 2019 - mental.jmir.org
Background: Mobile Therapeutic Attention for Patients with Treatment-Resistant
Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and …

[HTML][HTML] Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder

A Tsanas, KEA Saunders, AC Bilderbeck… - Journal of affective …, 2016 - Elsevier
Background Traditionally, assessment of psychiatric symptoms has been relying on their
retrospective report to a trained interviewer. The emergence of smartphones facilitates …

The effect of smartphone-based monitoring on illness activity in bipolar disorder: the MONARCA II randomized controlled single-blinded trial

M Faurholt-Jepsen, M Frost, EM Christensen… - Psychological …, 2020 - cambridge.org
BackgroundRecently, the MONARCA I randomized controlled trial (RCT) was the first to
investigate the effect of smartphone-based monitoring in bipolar disorder (BD). Findings …

A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people

M Dubad, C Winsper, C Meyer, M Livanou… - Psychological …, 2018 - cambridge.org
BackgroundMobile mood-monitoring applications are increasingly used by mental health
providers, widely advocated within research, and a potentially effective method to engage …

Sensor, wearable, and remote patient monitoring competencies for clinical care and training: sco** review

DM Hilty, CM Armstrong, A Edwards-Stewart… - Journal of technology in …, 2021 - Springer
Sensor, wearable, and remote patient monitoring technologies are typically used in
conjunction with video and/or in-person care for a variety of interventions and care …