[HTML][HTML] Barriers to and facilitators of user engagement with digital mental health interventions: systematic review

J Borghouts, E Eikey, G Mark, C De Leon… - Journal of medical …, 2021 - jmir.org
Background Digital mental health interventions (DMHIs), which deliver mental health
support via technologies such as mobile apps, can increase access to mental health …

Sleep and circadian rhythm disturbance in remitted schizophrenia and bipolar disorder: a systematic review and meta-analysis

N Meyer, SM Faulkner, RA McCutcheon… - Schizophrenia …, 2020 - academic.oup.com
Background Sleep and circadian rhythm disturbances in schizophrenia are common, but
incompletely characterized. We aimed to describe and compare the magnitude and …

Systematic review of digital phenotyping and machine learning in psychosis spectrum illnesses

J Benoit, H Onyeaka, M Keshavan… - Harvard Review of …, 2020 - journals.lww.com
Background Digital phenotyping is the use of data from smartphones and wearables
collected in situ for capturing a digital expression of human behaviors. Digital phenotyping …

Evidence-based guidelines for the pharmacological treatment of schizophrenia: updated recommendations from the British Association for Psychopharmacology

TRE Barnes, R Drake, C Paton… - Journal of …, 2020 - journals.sagepub.com
These updated guidelines from the British Association for Psychopharmacology replace the
original version published in 2011. They address the scope and targets of pharmacological …

[HTML][HTML] Smartphone-based tracking of sleep in depression, anxiety, and psychotic disorders

T Aledavood, J Torous, AM Triana Hoyos… - Current psychiatry …, 2019 - Springer
Abstract Purpose of Review Sleep is an important feature in mental illness. Smartphones
can be used to assess and monitor sleep, yet there is little prior application of this approach …

Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice

T Zidaru, EM Morrow, R Stockley - Health Expectations, 2021 - Wiley Online Library
Background Machine‐learning algorithms and big data analytics, popularly known as
'artificial intelligence'(AI), are being developed and taken up globally. Patient and public …

mHealth for schizophrenia spectrum disorders management: A systematic review

O Chivilgina, T Wangmo, BS Elger… - … Journal of Social …, 2020 - journals.sagepub.com
Background: Various types of computational technologies can be used to access, store and
wirelessly share private and sensitive user-related information. The 'big data'provided by …

[HTML][HTML] Young adults' perceptions of using wearables, social media and other technologies to detect worsening mental health: A qualitative study

LH Dewa, M Lavelle, K Pickles, C Kalorkoti, J Jaques… - PLoS …, 2019 - journals.plos.org
Background Technological interventions may help support and improve mental health.
However young peoples' perspectives on using different technologies to detect deteriorating …

[HTML][HTML] Development and long-term acceptability of ExPRESS, a mobile phone app to monitor basic symptoms and early signs of psychosis relapse

E Eisner, RJ Drake, N Berry… - JMIR mHealth and …, 2019 - mhealth.jmir.org
Background: Schizophrenia relapses are common, have profound, adverse consequences
for patients and are costly to health services. Early signs interventions aim to use warning …

[HTML][HTML] Feasibility of using a smartphone app to assess early signs, basic symptoms and psychotic symptoms over six months: a preliminary report

E Eisner, S Bucci, N Berry, R Emsley… - Schizophrenia …, 2019 - Elsevier
Background Psychosis relapses are common, have profound adverse consequences for
patients, and are costly to health services.'Early signs' have been used to predict relapse, in …