Impact of virtual reality applications in the treatment of anxiety disorders: A systematic review and meta-analysis of randomized-controlled trials

Self-guided virtual reality therapy for anxiety: A systematic review

BACKGROUND

Virtual reality (VR) technology can be used to treat anxiety symptoms and disorders. However, most VR interventions for anxiety have been therapist guided rather than self-guided.

OBJECTIVE

This systematic review aimed to examine the effectiveness and user experience (i.e., usability, acceptability, safety, and attrition rates) of self-guided VR therapy interventions in people with any anxiety condition as well as provide future research directions.

METHOD

Peer-reviewed journal articles reporting on self-guided VR interventions for anxiety were sought from the Cochrane Library, IEEE Explore Digital Library, PsycINFO, PubMED, Scopus, and Web of Science databases. Study data from the eligible articles were extracted, tabulated, and addressed with a narrative synthesis.

RESULTS

A total of 21 articles met the inclusion criteria. The findings revealed that self-guided VR interventions for anxiety can provide an effective treatment of social anxiety disorder, public speaking anxiety, and specific phobias. User experience outcomes of safety, usability, and acceptability were generally positive, and the average attrition rate was low. However, there was a lack of standardised assessments to measure user experiences.

CONCLUSION

Self-guided VR for anxiety can provide an engaging approach for effectively and safely treating common anxiety conditions. Nevertheless, more experimental studies are required to examine their use in underrepresented anxiety populations, assess their long-term treatment effects beyond 12 months, and compare their effectiveness against other self-help interventions for anxiety (e.g., internet interventions and bibliotherapy).

The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality

The expanding domain of digital mental health is transitioning beyond traditional telehealth to incorporate smartphone apps, virtual reality, and generative artificial intelligence, including large language models. While industry setbacks and methodological critiques have highlighted gaps in evidence and challenges in scaling these technologies, emerging solutions rooted in co-design, rigorous evaluation, and implementation science offer promising pathways forward. This paper underscores the dual necessity of advancing the scientific foundations of digital mental health and increasing its real-world applicability through five themes. First, we discuss recent technological advances in digital phenotyping, virtual reality, and generative artificial intelligence. Progress in this latter area, specifically designed to create new outputs such as conversations and images, holds unique potential for the mental health field. Given the spread of smartphone apps, we then evaluate the evidence supporting their utility across various mental health contexts, including well-being, depression, anxiety, schizophrenia, eating disorders, and substance use disorders. This broad view of the field highlights the need for a new generation of more rigorous, placebo-controlled, and real-world studies. We subsequently explore engagement challenges that hamper all digital mental health tools, and propose solutions, including human support, digital navigators, just-in-time adaptive interventions, and personalized approaches. We then analyze implementation issues, emphasizing clinician engagement, service integration, and scalable delivery models. We finally consider the need to ensure that innovations work for all people and thus can bridge digital health disparities, reviewing the evidence on tailoring digital tools for historically marginalized populations and low- and middle-income countries. Regarding digital mental health innovations as tools to augment and extend care, we conclude that smartphone apps, virtual reality, and large language models can positively impact mental health care if deployed correctly.

Virtual reality as a novel therapeutic tool in psychiatry: will virtual reality intervention for families rescue hikikomori?

PURPOSE OF REVIEW

Digital technology is beginning to revolutionize psychiatry. Virtual reality (VR) allows users to experience a virtual space through their three primary senses. In psychiatry, social skills training (SST), including role-play, has been introduced in occupational therapy to improve patients' social abilities. In face-to-face SST, the therapist's leadership skills and the patient's ability to deal with situations are necessary. VR could resolve such limitations. Herein, we introduce recent advances in VR for psychiatry.

RECENT FINDINGS

The introduction of VR has improved the social skills of patients with schizophrenia, social anxiety, and autism spectrum disorder. We have introduced VR not only for psychiatric patients themselves but also for their family members to improve their skills in intervening with the patients, especially hard-to-reach patients such as hikikomori (social withdrawal). A pilot trial was conducted involving several family cases living with people with hikikomori, and this approach showed promising effectiveness.

SUMMARY

VR has the potential to overcome the problems of conventional treatments by enabling experiential learning. In the future, VR is expected to support not only patients with mental disorders but also to improve the skills of therapists and caregivers, including family members. Empirical research through industry-academia collaboration is desirable for spreading VR-based interventions in psychiatry.

Using Virtual Reality to Promote Self-Identity Reconstruction as the Main Focus of Therapy

Based on the repertory grid technique, we developed Explore Your Meanings (EYME), a digital platform that helps patients explore identity values and internal conflicts using virtual reality (VR). EYME was part of a research project treating depression in young adults, including 10 weekly, 1-h sessions aimed at changing personal constructs-cognitive schemas that shape how individuals interpret reality. We present the case of Mary, a 21-year-old woman diagnosed with persistent major depressive disorder and social phobia. Early sessions with EYME revealed key implicit dilemmas in Mary's worldview, such as feeling that she had to be selfish (an undesired personal characteristic) to become smarter and more self-confident (desired pole). As Mary visualized these constructs in VR, she began to recognize her identity conflicts and strengths, ultimately helping her to improve her negative self-image. Interventions focused on reframing these constructs, particularly around "intelligence" and introducing "emotional intelligence," which helped Mary adopt a more nuanced view of herself. A key session involved a two-chair dialog between her "critical" and "emotional" selves, facilitating the integration of polarized aspects of her personality. In subsequent sessions, EYME reinforced these changes, with Mary reinterpreting behaviors like being "selective" as protective rather than negative. By the end of therapy, she no longer met the criteria for depression or social phobia, and her psychological distress had normalized.

The Use of Mobile Apps in Adolescent Psychotherapy: Assessment of Psychotherapists' Perspectives

BACKGROUND

Therapy-accompanying mental health apps can play an important role in the psychotherapeutic treatment of adolescents. They can enhance adolescents' engagement and autonomy, provide immediate support in critical situations, and positively influence the therapeutic working alliance. Nevertheless, mental health apps are rarely used by psychotherapists. Furthermore, due to the limited or nonexistent use of apps in psychotherapy, little is known about the actual barriers and drivers affecting their integration into psychotherapists' daily routines. To better understand how mental health apps should be designed for practical use, it is essential to explore psychotherapists' perspectives on key app features and characteristics, as well as the factors influencing their integration into clinical practice.

OBJECTIVE

This study aims to analyze which app features and characteristics are essential for psychotherapists to use a mobile app in psychotherapy with adolescents and to identify the key drivers and barriers influencing the integration of a psychotherapeutic app from the psychotherapists' perspectives.

METHODS

We conducted 3 feasibility studies using Steps, a transdiagnostic, therapy-accompanying app for adolescents, across 3 different psychotherapeutic treatment contexts: inpatient treatment, treatment in psychiatric outpatient clinics, and outpatient treatment with psychotherapists in private practice. All studies followed a qualitative quasi-experimental design. Participants provided information on their age, occupation, years of work experience, media affinity, attitudes toward psychotherapeutic apps, perceived app quality and feasibility, and the implementation process of the therapy-accompanying app. Qualitative data were analyzed using deductive qualitative content analysis. A total of 40 mental health professionals participated across the 3 studies (study 1: n=18; study 2: n=13; study 3: n=9).

RESULTS

Study participation and app usage rates were low across all studies. Six core features for a transdiagnostic, therapy-accompanying app were identified: mood checks, library, reminders, goals and tasks, emergency kit, and questionnaires. Additionally, the integration of mental health apps into daily routines was influenced by various drivers and barriers. The most significant barriers included technological issues and practical constraints, such as limited time and resources. The most important driver was the perceived improvement in treatment quality.

CONCLUSIONS

Overall, psychotherapists were generally open to using a therapy-accompanying mental health app. However, study participation and app usage remained low. As psychotherapists act as gatekeepers for patients' use of mental health apps, their needs should be prioritized in the development and implementation of such apps.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00031258; https://drks.de/search/en/trial/DRKS00031258/details.

Exploring the role of clinical and demographic characteristics on the effects of virtual reality cognitive behavioral therapy for psychosis: A moderator analysis

BACKGROUND

Virtual Reality cognitive behavioral therapy (VR-CBT) has proven to be an effective treatment method for paranoia and anxiety in psychosis. However, it is unknown, which individuals benefit most from VR-CBT. Previous studies examined factors affecting the treatment effect of regular CBTp, including illness duration, paranoia, depression, and pre-therapy avoidance behaviors, but results are inconsistent. The study aims to investigate the factors that influence the effectiveness of VR-CBT.

METHODS

A total of 95 participants with a psychotic disorder and at least moderate paranoia (GTPS >40) were included in this explorative study. Data were collected as part of a multicenter randomized controlled trial in which participants were assigned to VR-CBT or treatment as usual (TAU). The VR-CBT group received 16 sessions of individual treatment. A moderator analysis was conducted to examine the influence of baseline demographic (age, gender, and education level) and clinical characteristics (duration of illness, paranoia, anxiety, depression, safety behavior, self-esteem, and social functioning) on treatment effects of paranoia and anxiety as measured with questionnaires and the experience sampling method (ESM) directly after treatment (12 weeks after baseline).

RESULTS

More use of safety behavior at baseline resulted in greater benefits of VR-CBT on paranoid ideation and ESM paranoia. A higher age was associated with greater benefits of VR-CBT on social anxiety but not paranoia outcomes. There was no consistent evidence of moderation by any of the other sociodemographic or clinical variables for paranoid ideation and social anxiety.

CONCLUSIONS

Our findings suggest that a diverse spectrum of patients, with different backgrounds and symptom severity may be able to benefit from VR-CBT. VR-CBT can be recommended to a broad spectrum of patients with psychotic disorders, and particularly those with high levels of safety behaviors, including severe avoidance, seem to benefit more.

Effectiveness of virtual reality therapy in the treatment of anxiety disorders in adolescents and adults: a systematic review and meta-analysis of randomized controlled trials

Background

To evaluate the effect of virtual reality therapy on anxiety disorders in adolescents and adults by Meta-analysis.

Methods

A comprehensive literature search was conducted by PubMed, Web of Science, Embase, CINAHL, Scopus, Cochrane (from inception to November 2024). Two researchers independently performed literature screening, quality evaluation and data extraction, and Stata16.0 and Review Man 5.4 software were used for Meta-analysis.

Results

A total of 33 studies involving 3182 adolescents and adults with anxiety disorders were included. The results of Meta-analysis showed that compared with conventional interventions, virtual reality therapy significantly improved the symptoms and level of anxiety in patients with anxiety disorder [SMD = -0.95, 95%CI (-1.22,-0.69), Z = 7.05, P < 0.00001].

Conclusion

The current findings suggest that VR therapy interventions have a positive effect on improving the anxiety state of patients with anxiety disorders. The aforementioned research findings must be confirmed by more high-caliber studies due to the number and quality limitations of the contained literature.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display, identifier CRD42024574772.

Virtual Reality and Relaxation for the Treatment of Generalized Anxiety Disorder: A Randomized Comparative Study with Standard Intervention

Background/Objectives: Modern therapeutic strategies incorporating virtual reality (VR) have emerged as potential treatments for generalized anxiety disorder (GAD), a prevalent and debilitating condition that is challenging to cure. This study aimed to evaluate the efficacy of VR combined with relaxation techniques in patients with GAD by comparing VR-based relaxation with standard mental imagery (MI) relaxation. Methods: Fifty-eight patients with GAD participated in a randomized comparative trial. Specific virtual environments were created using an inexpensive game engine/level editor (GLE). Psychometric scales and physiological instruments were employed to assess the effects of relaxation therapy on anxiety, depression, quality of life, presence within virtual environments and cybersickness. Results: Both the VR and MI groups demonstrated statistically significant improvements in anxiety, worry and mental quality of life scores. However, no significant differences were observed between the two groups in pre-post comparisons of psychometric scores. The VR group exhibited a noticeably higher protocol completion rate and a significant increase in heart rate variability during the therapy. The level of presence in the VR group was satisfactory and significantly correlated with physiological improvements and anxiety reduction, while cybersickness remained low. Participants' preferences for specific virtual environments for relaxation are also discussed. Conclusions: These findings suggest that teaching and practicing relaxation in VR holds therapeutic potential for the treatment of GAD. Further research leveraging advanced VR sensory equipment and artificial intelligence agents is warranted to enhance therapeutic outcomes and explore additional applications.

Effectiveness of Virtual Reality Training in Improving Outcomes for Dialysis Patients: Systematic Review and Meta-Analysis

BACKGROUND

Virtual reality (VR) training uses computer-generated simulations that enable users to engage with immersive virtual environments, simulating real-world activities or therapeutic exercises. This technology is increasingly recognized as a promising intervention to address the physical and psychological challenges faced by dialysis patients, who frequently experience diminished physical function, social isolation, and emotional distress associated with prolonged treatment regimens. Given the increasing prevalence of dialysis patients and the limitations of conventional rehabilitation approaches, VR presents a novel, interactive method that has the potential to enhance patient well-being and improve quality of life.

OBJECTIVE

This meta-analysis aimed to evaluate the effectiveness of VR training interventions for dialysis patients, with a focus on assessing their impact on motor abilities, psychological symptoms (specifically anxiety and depression), social functioning, and self-efficacy. This analysis also explores whether VR can offer comprehensive benefits to support both the physical and mental health of dialysis patients.

METHODS

The meta-analysis was conducted following Cochrane guidelines. Comprehensive searches were performed across major databases, including China National Knowledge Infrastructure, Wanfang database, China Science and Technology Journal Database, China Biomedical Literature database, Cochrane library, Web of Science, PubMed, and Embase, encompassing all studies up to December 2023. Inclusion criteria targeted studies assessing VR's impact on motor performance, psychological well-being, social functioning, and self-efficacy in dialysis patients. Two reviewers independently extracted data and assessed methodological quality using Cochrane's risk of bias criteria, ensuring data synthesis reliability.

RESULTS

A total of 12 studies, involving 625 dialysis patients in total, met the inclusion criteria. The meta-analysis demonstrated that VR training led to significant improvements across multiple domains. VR interventions were associated with improved physical capacity, evidenced by higher scores in the 6-minute walk test (standardized mean difference [SD]=29.36, 95% CI 14.32-44.4, P<.001, I2=46%). VR training was associated with significant reductions in depression (SD=-6.30, 95% CI -7.14 to -5.47, P<.001, I2=96%) and anxiety (SD=-8.91, 95% CI -9.69 to -8.14, P<.001, I2=95%). In addition, VR interventions enhanced social functioning (SD=16.20, 95% CI 14.49-17.9, P<.001, I2=72%), and improved self-efficacy (SD=20.47, 95% CI 18.55-22.39, P<.001, I2=99%). However, VR training did not yield significant differences in gait speed, balance, or functional tests (Ten Sit-to-Stand Test, Five Sit-to-Stand Test, Sixty Sit-to-Stand Test, Timed Up and Go Test, and fatigue) compared with control groups.

CONCLUSIONS

The findings suggest that VR training is a promising intervention for dialysis patients, providing benefits in physical endurance, social engagement, and psychological well-being. Despite these advantages, VR remains underused among peritoneal dialysis patients compared with hemodialysis patients. Further studies with larger sample sizes and more refined experimental designs are recommended to validate these results and support VR as a complementary tool in the holistic care of dialysis patients.

Analyzing the Impact of Binaural Beats on Anxiety Levels by a New Method Based on Denoised Harmonic Subtraction and Transient Temporal Feature Extraction

Anxiety is a widespread mental health issue, and binaural beats have been explored as a potential non-invasive treatment. EEG data reveal changes in neural oscillation and connectivity linked to anxiety reduction; however, harmonics introduced during signal acquisition and processing often distort these findings. Existing methods struggle to effectively reduce harmonics and capture the fine-grained temporal dynamics of EEG signals, leading to inaccurate feature extraction. Hence, a novel Denoised Harmonic Subtraction and Transient Temporal Feature Extraction is proposed to improve the analysis of the impact of binaural beats on anxiety levels. Initially, a novel Wiener Fused Convo Filter is introduced to capture spatial features and eliminate linear noise in EEG signals. Next, an Intrinsic Harmonic Subtraction Network is employed, utilizing the Attentive Weighted Least Mean Square (AW-LMS) algorithm to capture nonlinear summation and resonant coupling effects, effectively eliminating the misinterpretation of brain rhythms. To address the challenge of fine-grained temporal dynamics, an Embedded Transfo XL Recurrent Network is introduced to detect and extract relevant parameters associated with transient events in EEG data. Finally, EEG data undergo harmonic reduction and temporal feature extraction before classification with a cross-correlated Markov Deep Q-Network (DQN). This facilitates anxiety level classification into normal, mild, moderate, and severe categories. The model demonstrated a high accuracy of 95.6%, precision of 90%, sensitivity of 93.2%, and specificity of 96% in classifying anxiety levels, outperforming previous models. This integrated approach enhances EEG signal processing, enabling reliable anxiety classification and offering valuable insights for therapeutic interventions.

Using iVR to deliver optimal psychotherapy experience-current perspectives on VRET for acrophobia

Immersive Virtual Reality (iVR) presents a promising avenue for treating acrophobia through Virtual Reality Exposure Therapy (VRET). This paper explores the current state of VRET for acrophobia, identifying significant technological and practical barriers that limit its effectiveness and hinder widespread adoption. Key challenges include the need for more advanced and realistic user experiences, and for the integration of biofeedback mechanisms. Additionally, the role of therapists remains crucial, as therapist-led VRET sessions demonstrate better outcomes compared to automated interventions. The potential of Collaborative Immersive Virtual Environments (CIVEs) to enhance VRET by simulating real-life interactions and improving patient-therapist engagement is also discussed. Future research should focus on developing comprehensive guidelines for CIVE design and evaluating integrated VRET and CIVE systems for treating phobias, including acrophobia. Addressing these issues will enhance the therapeutic experience, making VRET a more effective and accessible tool for treating acrophobia.

A self-guided virtual reality solution for social anxiety: Results from a randomized controlled study

OBJECTIVE

The study examines the efficacy of a mobile application, oVRcome, which offers self-managed virtual reality exposure therapy combined with cognitive-behavioural techniques to treat social anxiety disorder.

METHODS

A randomized controlled trial (RCT) was conducted over six weeks with a waitlist delayed treatment group and follow-ups at 12 and 18 weeks. Participants were adults living in New Zealand with moderate to severe social anxiety disorder, as measured by the Liebowitz Social Anxiety Scale (LSAS). The primary focus was on the change in LSAS scores from baseline to the sixth week. All analyses utilized the intention-to-treat data.

RESULTS

Out of 126 randomized participants, 81 completed the six-week follow-up. The retention rate at week 6 was 67.5%. The reduction in LSAS scores was significantly greater in the active group compared to the waitlist delayed treatment group (active group mean = -35.7 [SD = 24.0]; waitlist group: mean = - 2.2 [SD = 13.5]; p < 0.001), for an effect size of 1.8.

CONCLUSIONS

The study demonstrates that oVRcome can effectively reduce social anxiety symptoms, offering a viable self-guided treatment option.

TRIAL REGISTRY

ClinicalTrials.gov ID NCT05576259.

[Ethical challenges of telepsychiatry]

Telepsychiatry is shifting the focus of psychiatry and psychotherapy from personal interaction and relationship building to communication with technological mediators in the form of telecommunication, virtual reality (VR), social robots or artificial intelligence (AI). This article discusses the opportunities and risks of new technologies in psychiatric treatment, taking into account the principles of medical ethics. Telepsychiatric treatments can promote self-determination in the home environment as opposed to institutionalisation but carry the risk of uncontrolled data sharing. They harbour risks of potential harm such as social isolation, negative effects on the doctor-patient relationship and long-term changes in patient behaviour through, for example, VR. In terms of justice, demographic and psychopathological factors could result in unequal access to telepsychiatry, with questionable sustainability effects. The anonymity of telepsychiatry threatens alienation, while moral considerations cannot be replaced by AI for the time being. It is obligatory to carefully weigh up the benefits and risks of telepsychiatry, but especially in rural areas they could optimise care.Precisely because of ethical concerns, further intensive research is necessary to weigh up the risks and benefits. The development of telepsychiatric systems requires transdisciplinary co-operation. At a societal level, the significance of technologies as a supplement or replacement for the doctor-patient relationship needs to be discussed.

Augmented Reality as an Aid to Behavior Therapy for Anxiety Disorders: A Narrative Review

Anxiety disorders are among the most common mental disorders worldwide. These conditions are characterized by excessive anxiety that is difficult to control. In most anxiety disorders, symptoms are triggered by exposure to specific objects or situations. This leads sufferers to avoid such exposures, leading to impaired social and occupational functioning and reduced quality of life. Therapies based on behavioral principles, either alone or in combination with cognitive techniques, are the most effective psychological interventions for anxiety disorders. However, the effectiveness of these therapies may be limited due to a lack of generalization from clinic to real-world settings. Augmented reality (AR) is a technology that provides an interactive experience by superimposing computer-generated content, often in multiple sensory modalities, on the real world. Emerging evidence suggests that AR may be useful in treating a broad range of mental disorders, including anxiety disorders. This review examines the evidence for the use of AR-based techniques as an aid to behavioral or cognitive-behavioral therapies for anxiety disorders. The available evidence suggests that this method may offer significant advantages over conventional therapies, particularly in the case of specific phobias, but also in social anxiety disorder. AR can also be combined with other novel technologies to monitor psychophysiological markers of anxiety and its reduction over the course of treatment. The advantages of AR could be related to its combination of real and simulated content, allowing for better generalization of the benefits of conventional exposure-based therapy. Though the safety, efficacy, and cost-effectiveness of this method need to be confirmed in larger samples, it could lead to a paradigm shift in the way behavioral therapies for anxiety disorders are conceptualized and delivered.

Cyborg Children: A Systematic Literature Review on the Experience of Children Using Extended Reality

This literature review presents a comprehensive and systematic account of research on the experiences of children with extended reality (XR), including VR, AR, and other types of immersive technologies that enhance and augment children's activities. The search on Scopus and Web of Science produced 531 outputs. Content analysis with inter-rater reliability (Krippendorff's α) and Leximancer, a software for text mining, were used for analyzing the material. Four research strands were identified: (1) interventions, treatments, and medical procedures in clinical contexts; (2) teaching and learning enhanced by XR; (3) children's adoption and user experiences; (4) design and prototyping of XR hardware and software for children. The results showed the following findings: (a) studies on children's clinical interventions and treatments using HMD-supported immersive virtual reality comprise the most substantial strand of studies; (b) research in this area, and in teaching and learning studies, has grown dramatically since 2017, while the other areas have been stagnant over the years; (c) AR research is still limited and is mainly applied in educational contexts for design and prototyping; (d) few studies have considered children's perspectives on XR safety issues; (e) research on the use of XR for enhancing social and emotional skills development is underrepresented. Future research should focus on the potential of XR technologies for interventions to enhance children's psychosocial wellbeing and health more broadly. The further implications and study limitations for the fast-developing nature of this transdisciplinary research field are also discussed.

Immersive Technologies for Depression Care: Scoping Review

BACKGROUND

Depression significantly impacts quality of life, affecting approximately 280 million people worldwide. However, only 16.5% of those affected receive treatment, indicating a substantial treatment gap. Immersive technologies (IMTs) such as virtual reality (VR) and augmented reality offer new avenues for treating depression by creating immersive environments for therapeutic interventions. Despite their potential, significant gaps exist in the current evidence regarding the design, implementation, and use of IMTs for depression care.

OBJECTIVE

We aim to map the available evidence on IMT interventions targeting depression treatment.

METHODS

This scoping review followed a methodological framework, and we systematically searched databases for studies on IMTs and depression. The focus was on randomized clinical trials involving adults and using IMTs. The selection and charting process involved multiple reviewers to minimize bias.

RESULTS

The search identified 16 peer-reviewed articles, predominantly from Europe (n=10, 63%), with a notable emphasis on Poland (n=9, 56%), which contributed to more than half of the articles. Most of the studies (9/16, 56%) were conducted between 2020 and 2021. Regarding participant demographics, of the 16 articles, 5 (31%) exclusively involved female participants, and 7 (44%) featured participants whose mean or median age was >60 years. Regarding technical aspects, all studies focused on VR, with most using stand-alone VR headsets (14/16, 88%), and interventions typically ranging from 2 to 8 weeks, predominantly in hospital settings (11/16, 69%). Only 2 (13%) of the 16 studies mentioned using a specific VR design framework in planning their interventions. The most frequently used therapeutic approach was Ericksonian psychotherapy, used in 56% (9/16) of the studies. Notably, none of the articles reported using an implementation framework or identified barriers and enablers to implementation.

CONCLUSIONS

This scoping review highlights the growing interest in using IMTs, particularly VR, for depression treatment but emphasizes the need for more inclusive and comprehensive research. Future studies should explore varied therapeutic approaches and cost-effectiveness as well as the inclusion of augmented reality to fully realize the potential of IMTs in mental health care.

[VR-supported therapy for anxiety and posttraumatic stress disorder: current possibilities and limitations]

BACKGROUND

Virtual reality (VR) is increasingly used in psychotherapy, and the speed of development of therapeutic VR tools is continuously increasing.

OBJECTIVE

This narrative review provides an overview of the state of the art regarding VR applications for psychotherapy.

MATERIAL AND METHODS

The current state of VR therapy research for anxiety disorders and posttraumatic stress disorder (PTSD) is summarized. The focus lies on VR exposure therapy. Current developments in the field are outlined.

RESULTS

For anxiety disorders, especially phobic disorders, there are already positive recommendations in the current German S3 guidelines. For PTSD, the development of VR therapy tools is still in a relatively early stage.

CONCLUSION

The development of mobile cost-effective VR solutions in recent years has enabled entirely new applications for VR. The empirical challenges of these new developments are considerable. Nevertheless, the chances for an improvement of psychotherapeutic routine care are good.

Towards a self-applied, mobile-based geolocated exposure therapy software for anxiety disorders: SyMptOMS-ET app

Objective

While exposure therapy (ET) has the potential to help people tolerate intense situation-specific emotions and change avoidance behaviours, no smartphone solution exists to guide the process of in-vivo ET. A geolocation-based smartphone software component was designed and developed to instrumentalize patient guidance in in-vivo ET and its psychological validity was assessed by a group of independent psychology experts.

Methods

A team of computer scientists and psychologists developed the ET Component for in-vivo ET using geolocation-based technology, following the process-centred design methodology. The ET Component was integrated into the SyMptOMS-ET Android application, which was developed following the co-design methodology. Next, nine independent psychology experts tested and evaluated the ET Component and the SyMptOMS-ET app in the field, following the think-aloud methodology. Participants also completed the Mobile Application Rating Scale (MARS) instrument to quantitatively evaluate the solutions.

Results

We present the SyMptOMS-ET app's main features and the ET Component exposure workflow. Next, we discuss the feedback obtained and the results of the MARS instrument. Participants who tested the app were satisfied with the ET Component during exposure scenarios (score of μ 4.32 out of 5 [ σ 0.28] on MARS quality aspects), agreed on the soundness of the theoretical foundations of the solutions developed (score of μ 4.57 [ σ 0.48] on MARS treatment support aspects), and provided minor think-a-loud comments to improve them.

Conclusions

The results of the expert evaluation demonstrate the psychological validity of the ET Component and the SyMptOMS-ET app. However, further studies are needed to discern the acceptability and efficacy of the mHealth tool in the target population.