Online psychotherapy: trailblazing digital healthcare

The meaning in loss protocol: A clinical trial of online grief therapy

For a minority of the bereaved, the loss of a significant other can trigger an overwhelming emotional reaction and impaired functioning across life domains, known as prolonged grief disorder (PGD). Hence, ongoing efforts have been made to refine existing treatments to increase their efficacy and to accommodate the idiosyncrasies of grief reactions. This study presents the results of an open clinical trial of the feasibility and effectiveness of the Meaning in Loss (MIL) protocol in an online format. The brief intervention of 12 to 16 sessions combines constructivist and narrative strategies to explore and work through impediments to meaning reconstruction in loss. The sample included 25 participants diagnosed with PGD who were treated by six therapists. Baseline and post-therapy comparisons showed a significant improvement in all clinical measures (grief symptomatology, depression and general distress) and an increase of meaning making regarding the loss. Meaning making was found to be a prospective mediator of symptomatic improvement in grief across the course of therapy. These findings suggest the effectiveness of the MIL protocol in decreasing grief specific and associated symptomatology and argue for the relevance of further controlled evaluations of its efficacy. Moreover, results confirm previous findings that meaning making is a relevant factor in the evolution of grief reactions, including in the context of psychotherapy.

Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review

Introduction

Online mental healthcare has gained significant attention due to its effectiveness, accessibility, and scalability in the management of mental health symptoms. Despite these advantages over traditional in-person formats, including higher availability and accessibility, issues with low treatment adherence and high dropout rates persist. Artificial intelligence (AI) technologies could help address these issues, through powerful predictive models, language analysis, and intelligent dialogue with users, however the study of these applications remains underexplored. The following mixed methods review aimed to supplement this gap by synthesizing the available evidence on the applications of AI in online mental healthcare.

Method

We searched the following databases: MEDLINE, CINAHL, PsycINFO, EMBASE, and Cochrane. This review included peer-reviewed randomized controlled trials, observational studies, non-randomized experimental studies, and case studies that were selected using the PRISMA guidelines. Data regarding pre and post-intervention outcomes and AI applications were extracted and analyzed. A mixed-methods approach encompassing meta-analysis and network meta-analysis was used to analyze pre and post-intervention outcomes, including main effects, depression, anxiety, and study dropouts. We applied the Cochrane risk of bias tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) to assess the quality of the evidence.

Results

Twenty-nine studies were included revealing a variety of AI applications including triage, psychotherapy delivery, treatment monitoring, therapy engagement support, identification of effective therapy features, and prediction of treatment response, dropout, and adherence. AI-delivered self-guided interventions demonstrated medium to large effects on managing mental health symptoms, with dropout rates comparable to non-AI interventions. The quality of the data was low to very low.

Discussion

The review supported the use of AI in enhancing treatment response, adherence, and improvements in online mental healthcare. Nevertheless, given the low quality of the available evidence, this study highlighted the need for additional robust and high-powered studies in this emerging field.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=443575, identifier CRD42023443575.

Psychotherapy, artificial intelligence and adolescents: ethical aspects

Artificial intelligence (AI) has rapidly advanced in various domains, including its application in psychotherapy. AI-powered psychotherapy tools present promising solutions for increasing accessibility to mental health care. However, the integration of AI in psychotherapy raises significant ethical concerns that require thorough consideration and regulation to ensure ethical practice, patient safety, and data privacy. This article discusses the ethical considerations surrounding the utilization of AI in psychotherapy, emphasizing the need for responsible implementation, patient privacy, and the human-AI interaction. The challenge raised by the use of artificial intelligence requires a comprehensive approach. Schools, in particular, are crucial in providing both knowledge and ethical guidance, helping young individuals decipher the complexities of online content. Additionally, parental support is essential, requiring the provision of time, fostering relationships, encouraging dialogue, and creating a safe environment to share experiences amidst the intricacies of adolescence. Reimagining social and healthcare services tailored for adolescents is equally crucial, taking into account recent societal changes. The integration of AI in psychotherapy has vast potential to transform mental healthcare. However, ensuring its accuracy and effectiveness demands a proactive approach to address associated ethical considerations. By adopting responsible practices, preserving patient autonomy, and continually refining AI systems, the field can leverage the benefits of AI in psychotherapy while maintaining high ethical standards.

Effectiveness of a universal personalized intervention for the prevention of anxiety disorders: Protocol of a randomized controlled trial (the prevANS project)

Background

To date, all preventive anxiety disorders interventions are one-fit-all and none of them are based on individual level and risk profile. The aim of this project is to design, develop and evaluate an online personalized intervention based on a risk algorithm for the universal prevention of anxiety disorders in the general population.

Methods

A randomized controlled trial (RCT) with two parallel arms (prevANS vs usual care) and 1-year follow-up including 2000 participants without anxiety disorders from Spain and Portugal will be conducted.The prevANS intervention will be self-guided and can be implemented from the prevANS web or from the participants' Smartphone (through an App). The prevANS intervention will have different intensities depending on the risk level of the population, evaluated from the risk algorithm for anxiety: predictA. Both low and moderate-high risk participants will receive information on their level and profile (risk factors) of anxiety disorders, will have access to stress management tools and psychoeducational information periodically. In addition, participants with a moderate-high risk of anxiety disorders will also have access to cognitive-behavioral training (problem-solving, decision-making, communication skills, and working with thoughts). The control group will not receive any intervention, but they will fill out the same questionnaires as the intervention group.Assessments will be completed at baseline, 6 and 12-month follow-up. The primary outcome is the cumulative incidence of anxiety disorders. Secondary outcomes include depressive and anxiety symptoms, risk probability of anxiety disorders (predictA algorithm) and depression (predictD algorithm), improvement in physical and mental quality of life, and acceptability and satisfaction with the intervention. In addition, cost-effectiveness and cost-utility analyses will also be carried out from two perspectives, societal and health system, and analyses of mediators and moderators will also be performed.

Discussion

To the best of our knowledge, prevANS study will be the first to evaluate the effectiveness and cost-effectiveness of a personalized online intervention based on a risk predictive algorithm for the universal prevention of anxiety disorders.

Trial registration

ClinicalTrials.gov: NCT05682365.

Seeking help for mental health during the COVID-19 pandemic: A longitudinal analysis of adults' experiences with digital technologies and services

The COVID-19 pandemic brought about dramatic changes in how patients access healthcare from its outset. Lockdown restrictions and remote working led to a proliferation of digital technologies and services, which also impacted mental health provisions. Against the backdrop of new and changing support services, along with an unprecedented emphasis on mental health, relatively little is known about how adults sought out and received support for their mental health during this period. With a sample of 27,574 adults assessed longitudinally online over 12 months of the pandemic in the UK, we analysed reports of help-seeking for mental health, as well as sources of treatment or support and the perceived helpfulness of treatments received. We observed that the proportions of participants who reported seeking help remained relatively consistent throughout the 12-month period (ranging from 12.6% to 17.0%). Online talking therapies were among the most frequently sought sources (15.3%), whereas online self-guided treatments were among the least frequently sought sources (5%). Telephone lines, both NHS and non-governmental, had marked treatment 'gaps'. These treatment gaps, where individuals sought treatment but did not receive it, were especially evident for men and older adults. Our findings underscore online talking therapies as being a widely-sought and helpful source of mental health support. This is important given the current global need for accessible treatment options.

Online cognitive behavioral therapy (eCBT) for the management of depression symptoms in unipolar and bipolar spectrum disorders, a systematic review and network meta-analysis

BACKGROUND

Face-to-face cognitive behavioral therapy (CBT) is effective in the management of depression symptoms in unipolar and bipolar spectrum disorders. Though, compared to electronic adaptations of CBT (eCBT), it carries several accessibility limitations. Furthermore, unlike eCBT for depression symptoms (eCBTg), eCBT specific for bipolar depression (eCBT-Bipol) remains largely understudied. Thus, supplementing this gap, this systematic review and network meta-analysis (NMA) synthesized the available literature on eCBT for the treatment of unipolar and bipolar depression symptoms.

METHOD

MEDLINE, CINAHL, PsycINFO, EMBASE, and Cochrane were searched for relevant randomized controlled trials (RCTs) on eCBTg and eCBT-Bipol The review followed PRISMA guidelines and used the Cochrane risk of bias tool and GRADE criteria for quality assessment. Effect sizes were summarized using standardized mean differences (SMDs) and risk ratios (RRs).

RESULTS

eCBT-Bipol was comparable to eCBTg (SMD: 0.05, 95 % CI: -0.18; 0.28) and other psychotherapeutic interventions (SMD: 0.14, 95 % CI: -0.07; 0.35) for the management of mild to moderate depression symptoms. eCBT-Bipol was significantly more effective than attention controls (SMD: 0.35, 95 % CI: 0.11; 0.59), treatment as usual (SMD: 0.55, 95 % CI: 0.21; 0.90) and no intervention controls (SMD: 0.66, 95 % CI: 0.40; 0.93) in mitigating symptoms.

LIMITATIONS

The scarcity of eCBT-Bipol studies impacted the quality of the evidence in terms of risk of bias and imprecision.

CONCLUSIONS

The findings of this systematic review suggest that eCBT-Bipol has comparable effectiveness to eCBTg in managing depressive symptoms of unipolar and bipolar spectrum disorder. Though, they also highlighted the need for more studies on eCBT-Bipol.

Dissociative experiences reduce online problem gambling treatment effectiveness

AIMS

To determine whether dissociative experiences moderate online problem gambling treatment effectiveness, and to characterize the temporal persistence of the relationship between dissociation and problem gambling.

DESIGN

Repeatedly measured self-report data on a guided online cognitive behavioral therapy for problem gambling collected on four occasions: before treatment, after treatment, and at 6- and 12-month follow-ups.

SETTING AND PARTICIPANTS

The data (N = 1243, 59.2% males) were collected in Finland between 2019 and 2021.

MEASUREMENTS

The primary outcome variable was the self-reported level of problem gambling. The predictors were the treatment phase and dissociative experiences, their interaction, and the demographic covariates of age, education, income, and gender.

FINDINGS

Problem gambling scores and dissociative experiences declined significantly following treatment and remained low through the follow-ups (retention rates: 52.6% [post-treatment], 26.3% [at the 6-month follow-up], and 16.1% [at the 12-month follow-up]). However, the treatment was significantly less effective in reducing problem gambling for individuals who kept experiencing dissociation after the treatment.

CONCLUSIONS

Dissociation is an integral sign of problem gambling severity and sustained dissociative experiences may significantly reduce the long-term effectiveness of online problem gambling treatments. Treatment efforts should be customized to account for individual differences in dissociative tendencies, and future research should broaden the study of dissociative experiences to other behavioral addictions.

"Let me tell you what I think about online psychological help." A thematic analysis of voluntary opinions collected at the onset of the COVID-19 pandemic

Introduction

The COVID-19 pandemic shifted many aspects of life from face-to-face to an online form, including psychological help. Many people had to face the choice of adjourning contact with a psychologist or shifting it to the Internet. This study aimed to develop an understanding of attitudes and opinions toward relatively new phenomenon in Poland - online psychological help.

Method

Seventy two (N=72) statements about relationship between COVID-19 pandemic and online psychological help from (potential) patients were included in this research. The statements were collected from a community sample via open-ended question for volunteers added to an online survey conducted regarding an existing project. The statements were exclusively written responses to the following question: If you want to provide us with something about the relationships between the COVID-19 pandemic and online help/psychotherapy, please let us know below. By reason of exploratory character of our study and general phenomenological philosophical approach and constructionist approach, a thematic analysis method was used to analyze the data.

Results

The analysis led us to identify three general themes with sub-themes that refer to meaningful aspects of online psychological help: 1. Online psychological help situates in the shadow of face-to-face help, 1.1. It frustrates the needs, especially the need for psychological contact, 1.2. It contributes to negative emotions, 1.3. It is sometimes better than the face-to-face help; 2. Online psychological help is a solution during the COVID-19 pandemic, 2.1. It provides a sense of continuity during lockdown, 2.2. It is a means to adapt to exceptional circumstances, 3. The concerns about the credibility and effectiveness of online psychological help.

Discussion

The results show (potential) patients' attitudes (including emotions, thoughts, and concerns) toward online psychological help. The perspective presented here could be beneficial to professionals. A better understanding of client/patient attitudes will allow for more accurate customization of the online help and sensitize psychologists to the emotions that may occur about online psychological help. It could also be beneficial for patients to understand how other people would feel about online psychological help and develop ones' own self-awareness of the attitudes toward online psychological help.

Evaluating the efficacy of Web-Based Cognitive Behavioural Therapy for the treatment of patients with Bipolar II Disorder and residual depressive symptoms: Protocol for a randomized controlled trial

BACKGROUND

Bipolar disorder (BD) is a highly prevalent psychiatric condition that can significantly impact every aspect of a person's life if left untreated. A subtype of BD, Bipolar disorder II (BD-II) is characterized by long depressive episodes and residual depression symptoms, with short-lived hypomanic episodes. Medication and psychotherapy, such as cognitive behavioral therapy (CBT), are the main treatment options for BD-II. CBT specific for BD-II involves the recognition of warning signs, potentially triggering stimuli, and the development of coping skills to increase euthymic periods and improve global functioning. However, access to in-person CBT may be limited by several barriers including low availability, high costs and geographical limitations. Thus, online adaptations of CBT (e-CBT) have become a promising solution to address these treatment barriers Nevertheless, e-CBT for the treatment of BD-II remains understudied.

OBJECTIVE

The proposed study aims to establish the first e-CBT program specific for the treatment of BD-II with residual depressive symptoms. The primary objective of this study will be to determine the effect of e-CBT in managing BD symptomatology. The secondary objective will be to assess the effects of this e-CBT program on quality of life, and resilience. The tertiary objective will involve gathering user feedback using a post-treatment survey to support the continuous improvement and optimization of the proposed program.

METHODS

Adult participants (n = 170) with a confirmed diagnosis of BD-II experiencing residual depressive symptoms will be randomly assigned to either the e-CBT plus TAU (n = 85) group or the TAU (n = 85) control group. Participants in the control group will be able to participate in the online program after the first 13 weeks. The e-CBT program will consist of 13 weekly online modules designed following a validated CBT framework. Participants will complete module-related homework and receive asynchronous personalized feedback from a therapist. TAU will consist of standard treatment services conducted outside of the current research study. Depression and manic symptoms quality of life and resiliency will be assessed using clinically validated symptomatology questionnaires at baseline, week 6, and week 13.

RESULTS

The study received ethics approval in March 2020 and participant recruitment is expected to begin in February 2023 through targeted advertisements and physician referrals. Data collection and analysis are expected to conclude by December 2024. Linear and binomial regression (continuous and categorical outcomes respectively) will be conducted along with qualitative interpretive methods.

CONCLUSIONS

The findings will be the first on the effectiveness of delivering e-CBT for patients with BD-II with residual depressive symptoms. This approach can provide an innovative method to address barriers to in-person psychotherapy by increasing accessibility and decreasing costs.

CLINICALTRIAL

clinicaltrials.gov (NCT04664257); clinicaltrials.gov/ct2/show/NCT04664257.

Comparison of online and in-person cognitive behavioral therapy in individuals diagnosed with major depressive disorder: a non-randomized controlled trial

Objective

The increased prevalence of major depressive disorder (MDD) amid the COVID-19 pandemic has resulted in substantial growth in online mental health care delivery. Compared to its in-person counterpart, online cognitive behavioral therapy (e-CBT) is a time-flexible and cost-effective method of improving MDD symptoms. However, how its efficacy compares to in-person CBT is yet to be explored. Therefore, the current study compared the efficacy of a therapist-supported, electronically delivered e-CBT program to in-person therapy in individuals diagnosed with MDD.

Methods

Participants (n = 108) diagnosed with MDD selected either a 12 week in-person CBT or an asynchronous therapist-supported e-CBT program. E-CBT participants (n = 55) completed weekly interactive online modules delivered through a secure cloud-based online platform (Online Psychotherapy Tool; OPTT). These modules were followed by homework in which participants received personalized feedback from a trained therapist. Participants in the in-person CBT group (n = 53) discussed sessions and homework with their therapists during one-hour weekly meetings. Program efficacy was evaluated using clinically validated symptomatology and quality of life questionnaires.

Results

Both treatments yielded significant improvements in depressive symptoms and quality of life from baseline to post-treatment. Participants who opted for in-person therapy presented significantly higher baseline symptomatology scores than the e-CBT group. However, both treatments demonstrated comparable significant improvements in depressive symptoms and quality of life from baseline to post-treatment. e-CBT seems to afford higher participant compliance as dropouts in the e-CBT group completed more sessions on average than those in the in-person CBT group.

Conclusion

The findings support e-CBT with therapist guidance as a suitable option to treat MDD. Future studies should investigate how treatment accessibility is related to program completion rates in the e-CBT vs. in-person group.

Clinical Trial Registration

ClinicalTrials.Gov Protocol Registration and Results System (NCT04478058); clinicaltrials.gov/ct2/show/NCT04478058.

Psychological online interventions for problem gambling and gambling disorder - A meta-analytic approach

OBJECTIVE

The Covid-19 pandemic has reignited discussions about the prevalence of and treatment options for problem gambling and gambling disorder (PGGD). Since affected persons seldom seek professional help, online interventions can improve accessibility. Thus, this study aimed to investigate the effectiveness of psychological online interventions on PGGD.

METHODS

We conducted a systematic review and meta-analysis and searched in PubMed, PsycINFO, and Google Scholar for peer-reviewed experimental and quasi-experimental research published between 2010 and 2021. We calculated two meta-anlyses, one for treatment control comparisons (TCC), and one for pre-post-comparisons (PCC).

RESULTS

We included six studies (ten TCC and n = 2076) in meta-analysis 1 and five studies (six PCC and n = 781) in meta-analysis 2. Online interventions turned out to be effective in both analyses with Hedges g = 0.41, 95% confidence interval = [0.22 to 0.60], p < .001, for meta-anaylsis 1 and Hegdes g = 1.28, 95% confidence interval = [0.85 to 1.71], p < .001, for meta-analysis 2.

CONCLUSIONS

We identified significant effects of online interventions on PGGD in both analyses, indicating the potential of online applications. We discuss methodological aspects and further research directions.

Computerized Psychological Interventions in Veterans and Service Members: Systematic Review of Randomized Controlled Trials

BACKGROUND

Computerized psychological interventions can overcome logistical and psychosocial barriers to the use of mental health care in the Veterans Affairs and Department of Defense settings.

OBJECTIVE

In this systematic review, we aim to outline the existing literature, with the goal of describing: the scope and quality of the available literature, intervention characteristics, study methods, study efficacy, and study limitations and potential directions for future research.

METHODS

Systematic searches of two databases (PsycINFO and PubMed) using PRISMA (Preferred Reporting Item for Systematic Reviews and Meta-Analyses) guidelines were conducted from inception until November 15, 2020. The following inclusion criteria were used: the study was published in an English language peer-reviewed journal, participants were randomly allocated to a computerized psychological intervention or a control group (non-computerized psychological intervention active treatment or nonactive control group), an intervention in at least one treatment arm was primarily delivered through the computer or internet with or without additional support, participants were veterans or service members, and the study used validated measures to examine the effect of treatment on psychological outcomes.

RESULTS

This review included 23 studies that met the predefined inclusion criteria. Most studies were at a high risk of bias. Targeted outcomes, participant characteristics, type of support delivered, adherence, and participant satisfaction were described. Most of the examined interventions (19/24, 79%) yielded positive results. Study limitations included participant characteristics limiting study inference, high rates of attrition, and an overreliance on self-reported outcomes.

CONCLUSIONS

Relatively few high-quality studies were identified, and more rigorous investigations are needed. Several recommendations for future research are discussed, including the adoption of methods that minimize attrition, optimize use, and allow for personalization of treatment.

Self-guided online therapeutic assessment in substance abuse care: A Conflict Analysis implementation and feasibility case study

"Michael" is a 60-year-old Black male receiving substance abuse treatment at a Veterans Affairs hospital. As part of Michael's care, he participated in an implementation and feasibility trial evaluating Conflict Analysis (CA), a self-guided online therapeutic assessment. CA leverages innovative diagnostic and therapeutic resources to improve client engagement and therapeutic achievement. CA employs narrative formats, encouraging patients to frame experiences within personal vocabulary, and provides personalized feedback automatically extracted from patient responses. CA is self-guided, widely accessible, and has few costs. Paper presents Michael's protocol, associated therapeutic outcome measures, and psychologist's evaluation of CA benefits. Michael completed brief online CA deployment containing a wellness-based personality inventory, four narrative tasks, and an interactive feedback template. Michael completed insight, stress, depression, wellbeing, and perceived diagnostic and therapeutic benefit measures at baseline, post, and three-week follow-up. Interventions took 2.5 h. Attending psychologist reviewed CA protocols and completed diagnostic and therapeutic questionnaires. Michael's record identifies elevated dominance. Protocol highlights Michael's drinking as mechanism to lessen social anxieties, anger, and competitiveness. Results suggest CA encouraged increased motivation to change, treatment engagement, and reduced depression. Psychologist rated benefit at maximum threshold. Implications include improving assessment efficacy, increasing online care opportunities, and expanding CA research.

The Healing Hearts Together Randomized Controlled Trial and the COVID-19 Pandemic: A Tutorial for Transitioning From an In-Person to a Web-Based Intervention

Supportive couple relationships are associated with reduced risk of chronic illness development, such as cardiovascular disease, as well as improved secondary prevention. Healing Hearts Together (HHT) is an 8-week couples-based intervention designed to improve relationship quality, mental health, quality of life, and cardiovascular health among couples in which one partner has experienced a cardiac event. A randomized controlled trial began in October 2019 to test the efficacy of the in-person, group-based HHT program as compared to usual care. In March of 2020, all recruitment, assessments, and interventions halted due to the COVID-19 pandemic. Guided by optimal virtual care principles, as well as by Hom and colleagues’ four-stage framework—consultation, adaptation, pilot-testing, and test launch—this paper is a tutorial for the step-by-step transition planning and implementation of a clinical research intervention from an in-person to a web-based format, using the HHT program as an example. Clinical and research considerations are reviewed, including (1) privacy, (2) therapeutic aspects of the intervention, (3) group cohesion, (4) research ethics, (5) participant recruitment, (6) assessment measures, (7) data collection, and (8) data analyses. This tutorial can assist clinical researchers in transitioning their research programs to a web-based format during the pandemic and beyond.

Self-administered EMDR therapy: potential solution for expanding the availability of psychotherapy for PTSD or unregulated recipe for disaster?

BACKGROUND

Post-traumatic stress disorder (PTSD) carries a high disease burden worldwide, yet significant barriers exist to providing and accessing treatment for PTSD, particularly in refugee populations and in low- and middle-income countries. There is emerging evidence that self-administered psychological therapies, such as those accessed via online and mobile applications, are efficacious for many mental illnesses and increase access to treatment. Online and mobile applications offering self-help tools for eye movement desensitisation reprocessing (EMDR) therapy, an internationally recommended treatment for PTSD, are already widely distributed to the public.

AIMS

To present a commentary evaluating the potential benefits and risks of self-administered EMDR therapy: first, by conducting a search for existing peer-reviewed evidence relating to self-administered EMDR therapy; second, by presenting existing evidence for other self-help psychotherapies and evaluating what additional insight this could provide into the potential efficacy, safety, tolerability and accessibility of self-administered EMDR therapy; and, third, by describing the conflicting views of EMDR experts on the topic.

METHOD

A search was conducted for articles related to internet, mobile, book or computerised self-help EMDR therapy. The following databases were searched systematically: Medline, PsycInfo, EMBASE, AMED, CINAHL, Psychology and Behavioural Sciences, Cochrane Database and the EMDR Library.

RESULTS

Only one small primary research study was found relating to self-administered EMDR therapy. The results indicated significantly reduced symptoms of PTSD, depression, anxiety, distress and disability between pre-treatment and 3 month follow-up. No serious adverse events were reported. However, substantial methodological issues were discovered.

CONCLUSIONS

There is evidence that self-administered psychotherapies, in general, can be safe, effective and highly accessible. However, controversies persist regarding the safety and potential efficacy of self-administered EMDR therapy, and more robust research is needed. It is vital that methods are found to improve worldwide access to effective PTSD treatment, particularly given the current scale of migration to flee civil unrest.

Data Handling for E-Mental Health Professionals

Digital psychiatry and e-mental health have proliferated and permeated vastly in the current landscape of mental health care provision. The COVID-19 crisis has accelerated this digital transformation, and changes that usually take many years to translate into clinical practice have been implemented in a matter of weeks. These have outpaced the checks and balances that would typically accompany such changes, which has brought into focus a need to have a proper approach for digital data handling. Health care data is sensitive, and is prone to hacking due to the lack of stringent protocols regarding its storage and access. Mental health care data need to be more secure due to the stigma associated with having a mental health condition. Thus, there is a need to emphasize proper data handling by mental health professionals, and policies to ensure safeguarding patient's privacy are required. The aim of useful, free, and fair use of mental health care data for clinical, business, and research purposes should be balanced with the need to ensure the data is accessible to only those who are authorized. Systems and policies should be in place to ensure that data storage, access, and disposal are systematic and conform to data safety norms.

COVID-19 and applications of smartphone technology in the current pandemic

BACKGROUND

With restrictions on face to face clinical consultations in the COVID-19 pandemic and the challenges faced by health care systems in delivering patient care, alternative information technologies like telemedicine and smartphone are playing a key role.

AIMS

We assess the role and applications of smartphone technology as an extension of telemedicine in provide continuity of care to our patients and surveillance during the current COVID-19 pandemic.

METHODS

We have done a comprehensive review of the literature using suitable keywords on the search engines of PubMed, SCOPUS, Google Scholar and Research Gate in the first week of May 2020.

RESULTS

Through the published literature on this topic, we discuss role, common applications and its support in extended role of telemedicine technology in several aspects of current COVID-19 pandemic.

CONCLUSION

Smartphone technology on its own and as extension of telemedicine has significant applications in the current COVID-19 pandemic. As the smartphone technology further evolves with fifth generation cellular network expansion, it is going to play a key role in future of health medicine, patient referral, consultation, ergonomics and many other extended applications of health care.

Virtual Reality Cognitive Therapy in Inpatient Psychiatric Wards: Protocol for a Qualitative Investigation of Staff and Patient Views Across Multiple National Health Service Sites

BACKGROUND

Patients in psychiatric wards typically have very limited access to individual psychological therapy. Inpatients often have significant time available, and an important transition back to everyday life to prepare for-but historically, there have been few trained therapists available on wards for the delivery of evidence-based therapy. Automated virtual reality (VR) therapy may be one route to increase the provision of powerful psychological treatments in psychiatric hospitals. The gameChange automated VR cognitive therapy is targeted at helping patients overcome anxious avoidance and re-engage in everyday situations (such as walking down the street, taking a bus, or going to a shop). This treatment target may fit well for many patients preparing for discharge. However, little is known about how VR therapy may be viewed in this setting.

OBJECTIVE

The objectives of the study are to explore psychiatric hospital staff and patients' initial expectations of VR therapy, to gather patient and staff views of an automated VR cognitive therapy (gameChange) after briefly experiencing it, and to identify potential differences across National Health Service (NHS) mental health trusts for implementation. Guided by an implementation framework, the knowledge gained from this study will be used to assess the feasibility of VR treatment adoption into psychiatric hospitals.

METHODS

Focus groups will be conducted with NHS staff and patients in acute psychiatric wards at 5 NHS mental health trusts across England. Staff and patients will be interviewed in separate groups. Individual interviews will also be conducted when preferred by a participant. Within each of the 5 trusts, 1 to 2 wards will be visited. A total of 8-15 staff and patients per ward will be recruited, with a minimum total of 50 staff and patients recruited across all sites. Focus group questions have been derived from the nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability (NASSS) framework. Focus groups will discuss expectations of VR therapy before participants are given the opportunity to briefly try the gameChange VR therapy. Questions will then focus on opinions about the therapy and investigate feasibility of adoption, with particular consideration given to site specific issues. A thematic analysis will be conducted.

RESULTS

As of May 15, 2020, 1 patient focus group has been conducted.

CONCLUSIONS

The study will provide unique insight from patients and staff into the potential for implementing automated VR therapy in psychiatric wards. Perspectives will be captured both on the use of immersive technology hardware and therapy-specific issues in such settings.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/20300.