This review is designed to systematically examine the available evidence about virtual reality exposure therapy's (VRET) efficacy for phobias, critically describe some of the most important challenges in the field and discuss possible directions. Evidence reveals that virtual reality (VR) is an effective treatment for phobias and useful for studying specific issues, such as pharmacological compounds and behavioral manipulations, that can enhance treatment outcomes. In addition, some variables, such as sense of presence in virtual environments, have a significant influence on outcomes, but further research is needed to better understand their role in therapeutic outcomes. We conclude that VR is a useful tool to improve exposure therapy and it can be a good option to analyze the processes and mechanisms involved in exposure therapy and the ways this strategy can be enhanced. In the coming years, there will be a significant expansion of VR in routine practice in clinical contexts.
Ecological momentary assessment (EMA) and ecological momentary intervention (EMI) are alternative approaches to retrospective self-reports and face-to-face treatments, and they make it possible to repeatedly assess patients in naturalistic settings and extend psychological support into real life. The increase in smartphone applications and the availability of low-cost wearable biosensors have further improved the potential of EMA and EMI, which, however, have not yet been applied in clinical practice. Here, we conducted a systematic review, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, to explore the state of the art of technology-based EMA and EMI for major depressive disorder (MDD). A total of 33 articles were included (EMA = 26; EMI = 7). First, we provide a detailed analysis of the included studies from technical (sampling methods, duration, prompts), clinical (fields of application, adherence rates, dropouts, intervention effectiveness), and technological (adopted devices) perspectives. Then, we identify the advantages of using information and communications technologies (ICTs) to extend the potential of these approaches to the understanding, assessment, and intervention in depression. Furthermore, we point out the relevant issues that still need to be addressed within this field, and we discuss how EMA and EMI could benefit from the use of sensors and biosensors, along with recent advances in machine learning for affective modelling.
In recent decades, emotion regulation (ER) has been one of the most widely studied constructs within the psychological field. Nevertheless, laboratory experiments and retrospective assessments have been the two most common strands of ER research, thus leaving open several crucial questions about ER antecedents and consequences in daily life. Beyond traditional methods, ecological momentary assessment (EMA) has the potential to capture ER dynamics during the flow of daily experiences, in real-life settings and through repeated measurements. Here, we discuss what we currently know about ER antecedents and consequences. We will compare findings from previous literature to findings from EMA studies, pointing out both similarities and differences, as well as questions that can be answered better with the EMA approach.
Background According to a growing body of literature, people are quite inaccurate in recalling past affective experiences. Nevertheless, the mechanism underlying this recall bias (i.e., the tendency to overestimate and/or underestimate positive or negative past emotional experiences) remains unclear, and its association with mental health has not been studied yet. Methods We adopted a smartphone-based Ecological Momentary Assessment to monitor daily affect (n = 92) and investigate the association between affect recall bias, mental health and resilience. Results While the tendency to overestimate negative affective experiences was observed in participants reporting mild depressive symptoms, positive affect (PA) overestimation as compared to PA underestimation was associated with better mental health (i.e. higher psychological well-being and lower depressive and anxiety symptoms) through the enhancement of resilience. Furthermore, positively biased participants (i.e. PA over estimators) benefited from greater well-being, even when compared to accurate individuals. Conclusions While people appear to use retrospective PA overestimation as a strategy to enhance well-being and resilience, they are not likely to underestimate past negative experiences to feel better. Accordingly, owning an optimistic vision of the past may represent an adaptive "distortion" of reality that fosters people's mental health. The clinical implications of cultivating PA and learning strategies to regulate both negative and positive emotions are discussed.
IntroductionAn important concern in Internet-based treatments (IBTs) for emotional disorders is the high dropout rate from these protocols. Although dropout rates are usually reported in research studies, very few studies qualitatively explore the experiences of patients who drop out of IBTs. Examining the experiences of these clients may help to find ways to tackle this problem.MethodA Consensual Qualitative Research study was applied in 10 intentionally-selected patients who dropped out of a transdiagnostic IBT.Results22 categories were identified within 6 domains. Among the clients an undeniable pattern arose regarding the insufficient support due to the absence of a therapist and the lack of specificity of the contents to their own problems.ConclusionsThe analyzed content has direct impact on the clinical application of IBTs. A more tailored manage of expectations as well as strategies to enhance the therapeutic relationship in certain clients are identified as the two key elements in order to improve the dropout in IBTs. Going further, in the mid and long run, ideographic interventions would be vital. The present study permits to better grasp the phenomenon of dropout in IBTs and delineate specific implications both in terms of research, training and practice.
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