Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems

A Thieme, D Belgrave, G Doherty - ACM Transactions on Computer …, 2020 - dl.acm.org
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

Taxonomy of approaches to developing interventions to improve health: a systematic methods overview

A O'Cathain, L Croot, K Sworn, E Duncan… - Pilot and feasibility …, 2019 - Springer
Background Interventions need to be developed prior to the feasibility and piloting phase of
a study. There are a variety of published approaches to developing interventions …

[HTML][HTML] Framework for the development and evaluation of complex interventions: gap analysis, workshop and consultation-informed update

K Skivington, L Matthews, SA Simpson… - Health technology …, 2021 - ncbi.nlm.nih.gov
Background The Medical Research Council published the second edition of its framework in
2006 on developing and evaluating complex interventions. Since then, there have been …

Pediatric teleheath: opportunities created by the COVID-19 and suggestions to sustain its use to support families of children with disabilities

C Camden, M Silva - Physical & Occupational Therapy in Pediatrics, 2021 - Taylor & Francis
Aims Telehealth is being rapidly adopted by physical and occupational therapists in
pediatrics as a strategy to maintain services during the COVID-19 crisis. This perspective …

[HTML][HTML] Engaging children and young people in digital mental health interventions: systematic review of modes of delivery, facilitators, and barriers

S Liverpool, CP Mota, CMD Sales, A Čuš… - Journal of medical …, 2020 - jmir.org
Background There is a high prevalence of children and young people (CYP) experiencing
mental health (MH) problems. Owing to accessibility, affordability, and scalability, an …

[HTML][HTML] Measuring engagement in eHealth and mHealth behavior change interventions: viewpoint of methodologies

CE Short, A DeSmet, C Woods, SL Williams… - Journal of medical …, 2018 - jmir.org
Engagement in electronic health (eHealth) and mobile health (mHealth) behavior change
interventions is thought to be important for intervention effectiveness, though what …

[HTML][HTML] Clarifying the concept of adherence to eHealth technology: systematic review on when usage becomes adherence

F Sieverink, SM Kelders… - Journal of medical Internet …, 2017 - jmir.org
Background In electronic health (eHealth) evaluations, there is increasing attention for
studying the actual usage of a technology in relation to the outcomes found, often by …

[HTML][HTML] Influences on the uptake of and engagement with health and well-being smartphone apps: systematic review

D Szinay, A Jones, T Chadborn, J Brown… - Journal of medical …, 2020 - jmir.org
Background The public health impact of health and well-being digital interventions is
dependent upon sufficient real-world uptake and engagement. Uptake is currently largely …

Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake

A Kouri, J Yamada, J Lam Shin Cheung… - Implementation …, 2022 - Springer
Background Computerized clinical decision support systems (CDSSs) are a promising
knowledge translation tool, but often fail to meaningfully influence the outcomes they target …

Impact of guidance on intervention adherence in computerised interventions for mental health problems: a meta-analysis

P Musiat, C Johnson, M Atkinson, S Wilksch… - Psychological …, 2022 - cambridge.org
Web-based interventions are increasingly used for the prevention, treatment and aftercare of
mental disorders. A crucial factor to the efficacy of such online programmes is adherence to …