Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review.

Research in machine-learning (ML) algorithms using natural behavior (i.e., text, audio, and video data) suggests that these techniques could contribute to personalization in psychology and psychiatry. However, a systematic review of the current state-of-the-art is missing. Moreover, individual studies often target ML experts, and may overlook potential clinical implications of their findings. In a narrative accessible to mental health professionals, we present a systematic review, conducted in 5 psychology and 2 computer-science databases. We included 128 studies assessing the predictive power of ML algorithms using text, audio, and/or video data in the prediction of anxiety and post-traumatic stress (PTSD). Most studies (n = 87) aimed at predicting anxiety, the remainder (n = 41) focused on PTSD. They were mostly published since 2019, in computer science journals, and tested algorithms using text (n = 72), as opposed to audio or video. They focused mainly on general populations (n = 92), less on laboratory experiments (n = 23) or clinical populations (n = 13). Methodological quality varied, as did reported metrics of the predictive power, hampering comparison across studies. Two thirds of studies, focusing on both disorders, reported acceptable to very good predictive power (including high-quality studies only). Results of 33 studies were uninterpretable, mainly due to missing information. Research into ML algorithms using natural behavior is in its infancy, but shows potential to contribute to diagnostics of mental disorders, such as anxiety and PTSD, in the future, if standardization of methods, reporting of results, and research in clinical populations are improved.

Telephone support vs. self-guidance in an Internet-based self-administered psychological program for the treatment of depression: Protocol for a hybrid type 1 effectiveness-implementation randomized controlled trial.

Background: Depression is already the leading psychological disability around the world, impairing daily life, well-being, and social functioning and leading to personal and social costs. Despite the effectiveness of Evidence-Based Psychological Practices (EBPP), a significant percentage of depressive individuals remain untreated, especially in Primary Care (PC) settings in Spain. There are numerous barriers that limit access to EBPPs, including high costs, professional training, and adherence problems. Information and Communication Technologies (ICTs) offer a cost-effective way to disseminate and scale EBPPs to address these barriers. The iCBT program Smiling is Fun has been demonstrated to be a cost-effective treatment for depression in various Randomized Control Trials. However, adherence and implementation problems in real-world settings need to be addressed. Implementation research can help evaluate these challenges by identifying facilitators and barriers to the implementation process in PC. In this regard, including human support has been pointed out as a possible key factor in addressing the population's mental health needs and promoting treatment adherence. Objective: The current study aims to examine the effectiveness, adherence rates, and implementation process of Smiling is Fun to address depression in a PC setting considering the influence of telephone support vs no support. Methods: The proposed research is a Hybrid Effectiveness-Implementation Type I study, with a two-armed randomized controlled design, which will test a clinical intervention for major depressive disorder while gathering information on its implementation in a real-world setting. The study will include adult patients with mild to moderate symptoms of depression. Participants will be randomly assigned to one of two groups: self-applied psychotherapy or self-applied psychotherapy with psychotherapeutic telephone support. The trial will recruit 110 patient participants, with a loss-to-follow-up rate of 30 %. Discussion: A study protocol for a hybrid effectiveness-implementation study is presented with the aim to assess the implementation of Smiling is Fun for the treatment of depression in PC. The study evaluates the influence of telephone support during a self-administered intervention compared to unguided self-administration. The main goal is to address the barriers and facilitators of the implementation process and to promote treatment adherence. Ultimately, the results of the study could help in the uptake of sustainable resources so that the population could gain better access to psychological interventions in mental health services. Registration: ClinicalTrials.gov; NCT06230237.

Implementation of a psychological online intervention for low to moderate depression in primary care: study protocol.

Background: Depression affects millions of people all over the world and implies a great socioeconomic burden. Despite there are different effective evidence-based interventions for treating depression, only a small proportion of these patients receives an appropriate treatment. In this regard, information and communication technologies (ICTs) can be used with therapeutic aims and this can contribute to make interventions more accessible. One example is "Smiling is fun", an internet-based treatment which has proved to be effective and cost-effective for treating depression in Spanish Primary Care (PC). However, the "know-do gap" between research and clinical settings implies that the actual implementation of such interventions could last up to 20 years. To overcome this obstacle, the implementation research establishes the methodology to implement the advances developed in the laboratories to the health care services maintaining the validity of the intervention and offering specific strategies for the implementation process. Objective: This is the protocol of an implementation study for the Internet-based program "Smiling is fun", which will be conducted on patients with mild-to-moderate depression of Spanish PC settings. In the implementation study, the feasibility, efficacy, cost-efficacy, acceptability, adoption, appropriateness, fidelity, penetration, normalization, and sustainability will be assessed. Methods: The current investigation is a Hybrid Effectiveness-Implementation Type II design. A Stepped Wedge randomized controlled trial design will be used, with a cohort of 420 adults diagnosed with depression (mild-to-moderate) who will undergo a first control phase (no treatment) followed by the intervention, which will last 16 weeks, and finishing with an optional use of the intervention. All patients will be assessed at baseline, during the treatment, and at post-treatment. The study will be conducted in three Spanish regions: Andalusia, Aragon, and the Balearic Islands. Two primary care centers of each region will participate, one located in the urban setting and the other in the rural setting. The primary outcome will be implementation success of the intervention assessing the reach, clinical effect, acceptability, appropriateness, adoption, feasibility, fidelity, penetration, implementation costs and sustainability services. Discussion: "Smiling is Fun", which has already been established as effective and cost-effective, will be adapted according to users' experiences and opinions, and the efficacy and cost-efficacy of the program will again be assessed. The study will point out barriers and facilitators to consider in the implementation process of internet-based psychological interventions in health services. The ultimate goal is to break the research-to-practice split, which would undoubtedly contribute to reduce the high burden of depression in our society. Trial registration: ClinicalTrials.gov, Identifier: NCT05294614.