- Digital Mental Health Interventions
- Mental Health Research Topics
- Mental Health Treatment and Access
- Cardiac Health and Mental Health
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Impact of Technology on Adolescents
- Child and Adolescent Psychosocial and Emotional Development
- Perfectionism, Procrastination, Anxiety Studies
- Bipolar Disorder and Treatment
- Treatment of Major Depression
- Pharmacological Effects and Toxicity Studies
- Infant Health and Development
- Health, psychology, and well-being
- Child Nutrition and Feeding Issues
- Tryptophan and brain disorders
- Health Systems, Economic Evaluations, Quality of Life
- Schizophrenia research and treatment
- Health disparities and outcomes
- Body Image and Dysmorphia Studies
- Heart Rate Variability and Autonomic Control
- Mental Health via Writing
- Global Health Care Issues
- Workplace Health and Well-being
- Neurotransmitter Receptor Influence on Behavior
- Health and Well-being Studies
SilverCloud (Ireland)
2017-2024
Trinity College Dublin
2017-2023
Universidad de Burgos
2022
King's College London
2014-2021
Hospital Ramos Mejía
2021
Florence Nightingale Foundation
2017
Creative Commons
2017
University of West London
2017
University of Guayaquil
2017
Universidad Técnica de Manabí
2016
Recent advances in AI and machine learning (ML) promise significant transformations the future delivery of healthcare. Despite a surge research development, few works have moved beyond demonstrations technical feasibility algorithmic performance. However, to realize many ambitious visions for how can contribute clinical impact requires closer design study tools or interventions within specific health care contexts. This article outlines our collaborative, human-centered approach developing...
Scale discriminability is the ability of a measure to discriminate among individuals ordered along some continuum, such as depressive severity. We used nonparametric item-response model examine scale in Beck Depression Inventory (BDI) and Center for Epidemiologic Studies (CES-D) both college depressed outpatient samples. In sample, CES-D was more discriminating than BDI, but standard cutoff score 16 overestimated likely prevalence depression (45%). The may be effective BDI detecting...
Utilization of internet-delivered cognitive behavioural therapy (iCBT) for treating depression and anxiety disorders in stepped-care models, such as the UK's Improving Access to Psychological Therapies (IAPT), is a potential solution addressing treatment gap mental health. We investigated effectiveness cost-effectiveness iCBT when fully integrated within IAPT settings. conducted an 8-week pragmatic randomized controlled trial with 2:1 (iCBT intervention: waiting-list) allocation,...
<h3>Importance</h3> The mechanisms by which engagement with internet-delivered psychological interventions are associated depression and anxiety symptoms unclear. <h3>Objective</h3> To identify behavior types based on how people engage an internet-based cognitive behavioral therapy (iCBT) intervention for of anxiety. <h3>Design, Setting, Participants</h3> Deidentified data 54 604 adult patients assigned to the Space From Depression Anxiety treatment program from January 31, 2015, March 2019,...
Background Internet interventions can easily generate objective data about program usage. Increasingly, more studies explore the relationship between usage and outcomes, but they often report different metrics of use, findings are mixed. Thus, current evaluations fail to demonstrate which should be considered how these related clinically meaningful change. Objective This study aimed several outcomes an internet-based intervention for depression. Methods is a secondary analysis from...
Prior studies have found metacognitive biases are linked to a transdiagnostic dimension of anxious-depression, manifesting as reduced confidence in performance. However, previous work has been cross-sectional and so it is unclear if under-confidence trait-like marker anxious-depression vulnerability, or resolves when improves. Data were collected part large-scale transdiagnostic, four-week observational study individuals initiating internet-based cognitive behavioural therapy (iCBT)...
Online mental health interventions are increasingly important in providing access to, and supporting the effectiveness of, treatment. While these technologies effective, user attrition early disengagement key challenges. Evidence suggests that integrating a human supporter into such services mitigates challenges, however, it remains under-studied how involvement benefits client outcomes, to maximize effects. We present our analysis of 234,735 messages discover different support strategies...
Many university campuses have limited mental health services that cannot cope with the high demand. One alternative is to use internet-delivered cognitive behavioral therapy (iCBT) as a way of tackling barriers such lack availability and scheduling issues.This study aimed assess feasibility, acceptability, effectiveness, satisfaction supported iCBT intervention offering 3 programs on depression, anxiety, stress students. The design was an open or nonrandomized feasibility trial.Participants...
Depression and anxiety are common mental health disorders worldwide. The UK's Improving Access to Psychological Therapies (IAPT) programme is part of the National Health Service (NHS) designed provide a stepped care approach treating people with depressive disorders. Cognitive Behavioural Therapy (CBT) widely used, computerised internet-delivered cognitive behavioural therapy (cCBT iCBT, respectively) being suitable IAPT approved treatment alternative for step 2, low- intensity treatment....
To determine whether a one-off, baseline measure of depression and anxiety in primary care, coronary heart disease (CHD) population predicts ongoing symptoms, costs, quality life across 3-year follow-up.Longitudinal cohort study.16 General Practice surgeries South-East London.803 adults (70% male, mean age 71 years) contributing up to 7 follow-up points.Ongoing reporting health care life.At baseline, 27% the sample screened positive for symptoms anxiety, as measured by Hospital Anxiety...
Abstract Background Evidence-based treatments for depression exist but not all patients benefit from them. Efforts to develop predictive models that can assist clinicians in allocating are ongoing, there major issues with acquiring the volume and breadth of data needed train these models. We examined feasibility, tolerability, patient characteristics, quality a novel protocol internet-based treatment research psychiatry may help advance this field. Methods A fully was used gather repeated...
Abstract Purpose Generic health measures have been questioned for quantifying mental-health-related outcomes. In patients with anxiety and/or depression, our aim is to assess the psychometric properties of preference-based EQ-5D-5L (generic health) and ReQoL-UI (recovery-focussed quality life) economic evaluation against PHQ-9 (depression) GAD-7 (anxiety). anxiety/depression item ReQoL-10 are also assessed. Methods A 2:1 (intervention: control) randomised controlled trial collected at...
Internet-delivered Cognitive Behavioural Therapy (iCBT) is an effective treatment for depression and anxiety disorders. However longitudinal qualitative research into the client's subjective experience of this form ?in wild' relatively scarce. We present analysis secondary outcomes in a naturalistic RCT conducted within UK's Improving Access to Psychological Therapies programme. evaluated clients' expectations, experience, context usage iCBT, across three timepoints. Results are discussed...
In treating depression and anxiety, just over half of all clients respond. Monitoring obtaining early client feedback can allow for rapidly adapted treatment delivery improve outcomes. This study seeks to develop a state-of-the-art deep-learning framework predicting clinical outcomes in internet-delivered Cognitive Behavioural Therapy (iCBT) by leveraging large-scale, high-dimensional time-series data client-reported mental health symptoms platform interaction data. We use de-identified from...
Given that schizophrenia is a heterogeneous disorder, the analysis of clinical characteristics could help to identify homogeneous phenotypes may be relevance in genetic studies. Linkage and association studies have suggested locus predisposing reside within Xp11. We analyzed uVNTR rs1137070, polymorphisms from MAOA rs1799836 MAOB genes perform single SNP case-control study sample 344 patients 124 control subjects. Single polymorphism uVNTR, rs1137070 SNPs did not show statistical differences...
Low-intensity interventions for common mental disorders (CMD) address issues such as clinician shortages and barriers to accessing care. However, there is a lack of research into their comparative effectiveness in routine We aimed compare treatment effects three interventions, utilizing four years' worth clinical data. Users completing course guided self-help bibliotherapy (GSH), internet-delivered cognitive behavioural therapy (iCBT) or psychoeducational group (PGT) from stepped-care...