A Self-Applied Psychological Treatment for Gambling-Related Problems via The Internet: A Pilot, Feasibility Study.

The main purpose of this study was to evaluate the feasibility of an online psychological intervention for individuals with gambling-related problems, supported by ecological momentary assessments and interventions (EMAs and EMIs), along with weekly phone-calls, before conducting a randomized controlled trial. Participants were required to complete 3 of the 8 modules of the program based on cognitive-behavioral therapy (CBT) and extensions and innovations of CBT. The study measured the outcomes of feasibility (i.e., reach, appropriateness, technology literacy and technology usability, fidelity, and adherence). In terms of reach, 19.8% (n = 11) of the initial population met the inclusion criteria and completed the three modules (mean age = 41; 90.9% men). The perceived appropriateness and the technology usability after the first use were both excellent, fidelity and adherence to the online treatment (73.3%) were adequate. Adherence to the EMAs and the weekly phone calls were more modest (54.51% and 66.67%, respectively). The results of the present study show that an online treatment for gambling problems enhanced by EMA and EMI might be feasible but challenges were noted in terms of reach and adherence to these assessments and calls. These challenges are important to consider for future trials and the scalability of treatments for individuals with gambling disorders.

Effectiveness of a projection-based augmented reality exposure system in treating cockroach phobia: study protocol of a randomised controlled trial.

BACKGROUND: Despite being the treatment of choice for phobic disorders, in vivo exposure treatment (IVET) presents some important limitations related mainly to low acceptance and high drop-out rates. Augmented reality (AR) technologies can help to overcome these limitations. Evidence supports the use of AR in exposure treatment for small animal phobia. A new projection-based AR exposure treatment system (P-ARET) that offers the possibility of projecting the animals in a natural and non-intrusive environment has been developed. There are no randomised controlled trials (RCTs) available that have tested the efficacy of this system in cockroach phobia. This paper aims to present the protocol of an RCT that evaluates the efficacy of the P-ARET, versus an IVET group and a waiting list control group (WL), in carrying out exposure treatment for cockroach phobia. METHODS/DESIGN: Participants will be randomly allocated to one of three conditions: (1) P-ARET, (2) IVET and (3) WL. Both treatment conditions will follow the 'one-session treatment' guidelines. As a diagnostic measure, the Anxiety Disorders Interview Schedule for Diagnostic and Statistical Manual for Mental Health Disorders-Version 5 will be used. The Behavioral Avoidance Test will be used as the primary outcome measure. Secondary outcome measures will include an attentional biases task (measured using eye-tracking technology), the Fear of Cockroaches Questionnaire, Cockroach Phobia Beliefs Questionnaire, Fear and Avoidance Scales, Beck Depression Inventory second edition, Disgust Propensity and Sensitivity Scale-Revised-12, State-Trait Anxiety Inventory, Clinician Severity Scale, and Expectation and Satisfaction with the Treatment Scale. The evaluation protocol will include pretreatment and post-treatment evaluations and 1, 6 and 12 months of follow-ups. Intention-to-treat and per-protocol analyses will be performed. ETHICS AND DISSEMINATION: This study has been approved by the Ethics Committee of Universitat Jaume I (Castellón, Spain; 13 December 2019). The results of the presented RCT will be disseminated in presentations at international scientific meetings and peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER: NCT04563390.

Improving the efficacy of exposure therapy using projection-based augmented reality for the treatment of cockroach phobia: a randomised clinical trial protocol.

INTRODUCTION: In vivo exposure is the treatment of choice for specific phobia (SP), but this technique presents limitations related to access and acceptability. Augmented reality (AR) offers advantages like maximising strategies such as 'variability' (varying stimuli, durations, levels of intensity or the order of the items), control by the therapist, or 'exposure to multiple contexts', which can produce positive effects in terms of fear renewal and generalisation of the results. The aim of this study is to test the efficacy of varying the phobic stimuli during treatment with AR: using multiple stimuli (MS) versus a single stimulus (SS) in participants with SP. METHODS AND ANALYSIS: Participants (N=80) with a diagnosis of an SP of cockroaches will be randomised into two conditions: (1) projection-based AR exposure therapy with MS (P-ARET MS); (2) P-ARET with an SS (P-ARET SS). The measures are related to the efficacy results (fear, avoidance and negative thoughts, performance on the behavioural avoidance test (BAT) and preferences). The primary outcome measure is the BAT, and the secondary outcome measures are the BAT through AR, Fear of Cockroaches Questionnaire, Cockroach Phobia Beliefs Questionnaire, Fear and Avoidance Scales Patient's Improvement Scale, and Beck Depression Inventory Second Edition. Five evaluation moments will be included: preintervention, postintervention, and 1-month, 6-month, and 12-month follow-ups. The treatment will follow the guidelines of the 'one-session treatment'. Student's t-tests to compare the two groups on the post-test will be applied. In addition, two-way analysis of variances with repeated measures in one of the two factors (pretest, post-test and follow-ups) will be carried out to compare intragroup differences. ETHICS AND DISSEMINATION: The Universitat Jaume I Ethics Committee (Castellón, Spain) granted approval for the study (CD/64/2019). Dissemination will include publications and presentations at national and international conferences. TRIAL REGISTRATION NUMBER: NCT04563403.

AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health.

In recent years, interest and investment in health and mental health smartphone apps have grown significantly. However, this growth has not been followed by an increase in quality and the incorporation of more advanced features in such applications. This can be explained by an expanding fragmentation of existing mobile platforms along with more restrictive privacy and battery consumption policies, with a consequent higher complexity of developing such smartphone applications. To help overcome these barriers, there is a need for robust, well-designed software development frameworks which are designed to be reliable, power-efficient and ethical with respect to data collection practices, and which support the sense-analyse-act paradigm typically employed in reactive mHealth applications. In this article, we present the AwarNS Framework, a context-aware modular software development framework for Android smartphones, which facilitates transparent, reliable, passive and active data sampling running in the background (sense), on-device and server-side data analysis (analyse), and context-aware just-in-time offline and online intervention capabilities (act). It is based on the principles of versatility, reliability, privacy, reusability, and testability. It offers built-in modules for capturing smartphone and associated wearable sensor data (e.g. IMU sensors, geolocation, Wi-Fi and Bluetooth scans, physical activity, battery level, heart rate), analysis modules for data transformation, selection and filtering, performing geofencing analysis and machine learning regression and classification, and act modules for persistence and various notification deliveries. We describe the framework's design principles and architecture design, explain its capabilities and implementation, and demonstrate its use at the hand of real-life case studies implementing various mobile interventions for different mental disorders used in clinical practice.

Validation of a Spanish Adaptation of the Gambling Symptom Assessment Scale (G-SAS) in Persons with Recent History of Gambling.

Gambling is becoming increasingly frequent and problematic, especially due to the explosion of online alternatives. Evaluating the severity of gambling symptomatology is therefore more important than ever. However, innovations in the gambling field have generally focused on its treatment rather than its evaluation. The Gambling Symptom Assessment Scale (G-SAS) is a well-established measure of gambling-related symptomatology (e.g., gambling urges, gambling-related thoughts and behaviours, and interpersonal functioning). The aim of this study is to validate a Spanish adaptation of the G-SAS so that individual differences in gambling symptomatology can be assessed by clinicians and researchers. The internal structure of the G-SAS was investigated using an exploratory factor analysis with a sample of 364 individuals from the general population in Spain (mean age = 28.84 years, SD = 11.73; 54% males). A four-factor structure was preferred considering fit indices (Chi-square = 22.62, p = .162, RMSEA = 0.030, CFI = 0.998, TLI = 0.995) and internal consistency estimates (0.67 ≤ α ≤ 0.89). The factors were labelled gambling-related symptoms, control of gambling urges/thoughts, interference, and arousal. Regarding construct validity, the four factors of the G-SAS were positively and significantly (all p < .001) correlated with measures of problematic gambling severity (0.40 ≤ r ≤ .73), problematic gambling diagnostic (0.40 ≤ r ≤ .67), gambling cognitions (0.48 ≤ r ≤ .57), impulsivity (0.26 ≤ r ≤ .42), anxiety (0.22 ≤ r ≤ .38), and depression (0.16 ≤ r ≤ .42), and negatively with quality of life (-0.24 ≤ r≤-.42). In sum, this study provides Spanish clinicians and researchers with a tool that serves to assess the status of individuals in relation to gambling symptomatology, which can be used to screen for at-risk profiles and evaluate treatment response.

Client's Experiences Using a Location-Based Technology ICT System during Gambling Treatments' Crucial Components: A Qualitative Study.

Cognitive Behavioral Therapy is the treatment of choice for Gambling Disorder (GD), with stimulus control (SC) and exposure with response prevention (ERP) being its two core components. Despite their efficacy, SC and ERP are not easy to deliver, so it is important to explore new ways to enhance patient compliance regarding SC and ERP. The aim of this study is to describe and assess the opinion of two patients diagnosed with problem gambling and GD that used the Symptoms app, a location-based ICT system, during SC and ERP. A consensual qualitative research study was conducted. We used a semi-structured interview, developed ad-hoc based on the Expectation and Satisfaction Scale and System Usability Scale. A total of 20 categories were identified within six domains: usefulness, improvements, recommendation to other people, safety, usability, and opinion regarding the use of the app after completing the intervention. The patients considered the app to be useful during the SC and ERP components and emphasized that feeling observed and supported at any given time helped them avoid lapses. This work can offer a starting point that opens up new research paths regarding psychological interventions for gambling disorder, such as assessing whether location-based ICT tools enhance commitment rates.

Efficacy of an internet-based psychological intervention for problem gambling and gambling disorder: Study protocol for a randomized controlled trial.

Gambling Disorder is a prevalent non-substance use disorder, which contrasts with the low number of people requesting treatment. Information and Communication Technologies (ICT) could help to enhance the dissemination of evidence-based treatments and considerably reduce the costs. The current study seeks to assess the efficacy of an online psychological intervention for people suffering from gambling problems in Spain. The proposed study will be a two-arm, parallel-group, randomized controlled trial. A total of 134 participants (problem and pathological gamblers) will be randomly allocated to a waiting list control group (N = 67) or an intervention group (N = 67). The intervention program includes 8 modules, and it is based on motivational interviewing, cognitive-behavioral therapy (CBT), and extensions and innovations of CBT. It includes several complementary tools that are present throughout the entire intervention. Therapeutic support will be provided once a week through a phone call with a maximum length of 10 min. The primary outcome measure will be gambling severity and gambling-related cognitions, and secondary outcome measures will be readiness to change, and gambling self-efficacy. Other variables that will be considered are depression and anxiety symptoms, positive and negative affect, difficulties in emotion regulation strategies, impulsivity, and quality of life. Individuals will be assessed at baseline, post-treatment, and 3-, 6-, and 12-month follow-ups. During the treatment, participants will also respond to a daily Ecological Momentary Intervention (EMI) in order to evaluate urges to gamble, self-efficacy to cope with gambling urges, gambling urge frequency, and whether gambling behaviour occurs. The EMI includes immediate automatic feedback depending on the participant's responses. Treatment acceptance and satisfaction will also be assessed. The data will be analysed both per protocol and by Intention-to-treat. As far as we know, this is the first randomized controlled trial of an online psychological intervention for gambling disorder in Spain. It will expand our knowledge about treatments delivered via the Internet and contribute to improving treatment dissemination, reaching people suffering from this problem who otherwise would not receive help. TRIAL REGISTRATION: Clinicaltrials.gov as NCT04074681. Registered 22 July 2019.

Smartphone Apps for the Treatment of Mental Disorders: Systematic Review.

BACKGROUND: Smartphone apps are an increasingly popular means for delivering psychological interventions to patients suffering from a mental disorder. In line with this popularity, there is a need to analyze and summarize the state of the art, both from a psychological and technical perspective. OBJECTIVE: This study aimed to systematically review the literature on the use of smartphones for psychological interventions. Our systematic review has the following objectives: (1) analyze the coverage of mental disorders in research articles per year; (2) study the types of assessment in research articles per mental disorder per year; (3) map the use of advanced technical features, such as sensors, and novel software features, such as personalization and social media, per mental disorder; (4) provide an overview of smartphone apps per mental disorder; and (5) provide an overview of the key characteristics of empirical assessments with rigorous designs (ie, randomized controlled trials [RCTs]). METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews were followed. We performed searches in Scopus, Web of Science, American Psychological Association PsycNET, and Medical Literature Analysis and Retrieval System Online, covering a period of 6 years (2013-2018). We included papers that described the use of smartphone apps to deliver psychological interventions for known mental disorders. We formed multidisciplinary teams, comprising experts in psychology and computer science, to select and classify articles based on psychological and technical features. RESULTS: We found 158 articles that met the inclusion criteria. We observed an increasing interest in smartphone-based interventions over time. Most research targeted disorders with high prevalence, that is, depressive (31/158,19.6%) and anxiety disorders (18/158, 11.4%). Of the total, 72.7% (115/158) of the papers focused on six mental disorders: depression, anxiety, trauma and stressor-related, substance-related and addiction, schizophrenia spectrum, and other psychotic disorders, or a combination of disorders. More than half of known mental disorders were not or very scarcely (<3%) represented. An increasing number of studies were dedicated to assessing clinical effects, but RCTs were still a minority (25/158, 15.8%). From a technical viewpoint, interventions were leveraging the improved modalities (screen and sound) and interactivity of smartphones but only sparingly leveraged their truly novel capabilities, such as sensors, alternative delivery paradigms, and analytical methods. CONCLUSIONS: There is a need for designing interventions for the full breadth of mental disorders, rather than primarily focusing on most prevalent disorders. We further contend that an increasingly systematic focus, that is, involving RCTs, is needed to improve the robustness and trustworthiness of assessments. Regarding technical aspects, we argue that further exploration and innovative use of the novel capabilities of smartphones are needed to fully realize their potential for the treatment of mental health disorders.