Psychotherapists' acceptance of telepsychotherapy during the COVID-19 pandemic: A machine learning approach

Developing a Machine Learning-Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study

BACKGROUND

Patient engagement is a critical but challenging public health priority in behavioral health care. During telehealth sessions, health care providers need to rely predominantly on verbal strategies rather than typical nonverbal cues to effectively engage patients. Hence, the typical patient engagement behaviors are now different, and health care provider training on telehealth patient engagement is unavailable or quite limited. Therefore, we explore the application of machine learning for estimating patient engagement. This can assist psychotherapists in the development of a therapeutic relationship with the patient and enhance patient engagement in the treatment of mental health conditions during tele-mental health sessions.

OBJECTIVE

This study aimed to examine the ability of machine learning models to estimate patient engagement levels during a tele-mental health session and understand whether the machine learning approach could support therapeutic engagement between the client and psychotherapist.

METHODS

We proposed a multimodal learning-based approach. We uniquely leveraged latent vectors corresponding to affective and cognitive features frequently used in psychology literature to understand a person's level of engagement. Given the labeled data constraints that exist in health care, we explored a semisupervised learning solution. To support the development of similar technologies for telehealth, we also plan to release a dataset called Multimodal Engagement Detection in Clinical Analysis (MEDICA). This dataset includes 1229 video clips, each lasting 3 seconds. In addition, we present experiments conducted on this dataset, along with real-world tests that demonstrate the effectiveness of our method.

RESULTS

Our algorithm reports a 40% improvement in root mean square error over state-of-the-art methods for engagement estimation. In our real-world tests on 438 video clips from psychotherapy sessions with 20 patients, in comparison to prior methods, positive correlations were observed between psychotherapists' Working Alliance Inventory scores and our mean and median engagement level estimates. This indicates the potential of the proposed model to present patient engagement estimations that align well with the engagement measures used by psychotherapists.

CONCLUSIONS

Patient engagement has been identified as being important to improve therapeutic alliance. However, limited research has been conducted to measure this in a telehealth setting, where the therapist lacks conventional cues to make a confident assessment. The algorithm developed is an attempt to model person-oriented engagement modeling theories within machine learning frameworks to estimate the level of engagement of the patient accurately and reliably in telehealth. The results are encouraging and emphasize the value of combining psychology and machine learning to understand patient engagement. Further testing in the real-world setting is necessary to fully assess its usefulness in helping therapists gauge patient engagement during online sessions. However, the proposed approach and the creation of the new dataset, MEDICA, open avenues for future research and the development of impactful tools for telehealth.

Comparison of Use Rates of Telehealth Services for Substance Use Disorder During and Following COVID-19 Safety Distancing Recommendations: Two Cross-Sectional Surveys

Background

The COVID-19 social distancing guidelines resulted in a dramatic transition to telephone and video technologies to deliver substance use disorder (SUD) treatment. Before COVID-19, the question was "Will telehealth ever take hold for SUD services?" Now that social distancing guidelines have been lifted, the question is "Will telehealth remain a commonly used care modality?"

Objective

The principal purpose of this investigation was to examine the extent to which telehealth use in SUD service settings persisted following the lifting of COVID-19 safety distancing recommendations. Additionally, the study aimed to explore practitioners' perceptions of telehealth convenience and value after its regular implementation during the pandemic. Specifically, the goal of this study was to compare telehealth activity between time intervals: May-August 2020 (during peak COVID-19 safety distancing recommendations) and October-December 2022 (following discontinuation of distancing recommendations). Specifically, we compared (1) telehealth technologies and services, (2) perceived usefulness of telehealth, (3) ease of use of telephone- and video-based telehealth services, and (4) organizational readiness to use telehealth.

Methods

An online cross-sectional survey consisting of 108 items was conducted to measure the use of telehealth technologies for delivering a specific set of SUD services in the United States and to explore the perceived readiness for use and satisfaction with telephonic and video services. The survey took approximately 25-35 minutes to complete and used the same 3 sets of questions and 2 theory-driven scales as in a previous cross-sectional survey conducted in 2020. Six of 10 Regional Addiction Technology Transfer Centers funded by the Substance Abuse and Mental Health Services Administration distributed the survey in their respective regions, collectively spanning 37 states. Responses of administrators and clinicians (hereafter referred to as staff) from this 2022 survey were compared to those obtained in the 2020 survey. Responses in 2020 and 2022 were anonymous and comprised two separate samples; therefore, an accurate longitudinal model could not be analyzed.

Results

A total of 375 staff responded to the 2022 survey (vs 457 in 2020). Baseline organizational characteristics of the 2022 sample were similar to those of the 2020 sample. Phone and video telehealth utilization rates remained greater than 50% in 2022 for screening and assessment, case management, peer recovery support services, and regular outpatient services. The perceived usefulness of phone-based telehealth was higher in 2022 than in 2020 (mean difference [MD] -0.23; P=.002), but not for video-based telehealth (MD -0.12; P=.13). Ease of use of video-based telehealth was perceived as higher in 2022 than in 2020 (MD-0.35; P<.001), but no difference was found for phone-based telehealth (MD -0.12; P=.11). From the staff's perspective, patients had greater readiness for using telehealth via phone than video, but the staff perceived their personal and organizational readiness for using telehealth as greater for video-based than for phone-based telehealth.

Conclusions

Despite lower telephone and video use in 2022 for telehealth services than in 2020, both modalities continue to be perceived positively. Future research may further determine the relative cost and clinical effectiveness of video-based services and thereby help to address some sources of the noted challenges to implementation by SUD organizations.

The association between quality of therapeutic alliance and treatment outcomes in teletherapy: A systematic review and meta-analysis

OBJECTIVE

The strength of the therapeutic alliance is widely understood to impact treatment outcomes, however, the alliance-outcome relationship in teletherapy has remained relatively unexamined. The aim of this meta-analysis is to systematically summarize the relationship between therapeutic alliance and treatment outcomes in teletherapy with adult patients conducted via videoconferencing or telephone.

METHODS

We conducted a systematic search of the databases PsycINFO, PsycARTICLES, ProQuest Dissertation Databases, EMBASE, The Cochrane Library, MEDLINE, Google Scholar, and PubMed for studies published before June 26, 2023. We identified 31 studies with 34 independent samples (4862 participants).

RESULTS

The average weighted effect size was 0.15, p = .001, 95% CI [0.07, 0.24], k = 34. reflecting a small effect of therapeutic alliance on mental health outcomes. There was significant heterogeneity in the effect sizes, which was driven by between-study differences in the alliance-outcome correlation. The alliance-outcome effect was larger when the alliance was measured late in treatment and when the outcome was measured from the patient's perspective.

CONCLUSION

Very few teletherapy treatment studies were identified that initially reported on alliance-outcome associations, underlining that this is an under-researched area. The association between alliance-teletherapy outcomes in this meta-analysis was small but significant, and somewhat weaker than the alliance-outcome associations reported for in-person treatments and other online interventions. This might indicate that there are other processes at play in teletherapy that explain variance of treatment outcomes, or that the therapist (and the relationship) has less influence on the treatment outcomes than in in-person therapy.

Therapeutic alliance and clinical outcomes in teletherapy and in-person psychotherapy: A noninferiority study during the COVID-19 pandemic

Objective The current study aimed to inform the varied and limited research on clinical variables in the context of teletherapy. Questions remain about the comparative quality of therapeutic alliance and clinical outcome in the context of teletherapy compared to in-person treatment.Methods We utilized a cohort design and a noninferiority statistical approach to study a large, matched sample of clients who reported therapeutic alliance as well as psychological distress before every session as part of routine clinical practice at a university counseling center. A cohort of 479 clients undergoing teletherapy after the emergence of the COVID-19 pandemic was compared to a cohort of 479 clients receiving in-person treatment before the onset of the pandemic. Tests of noninferiority were conducted to investigate the absence of meaningful differences between the two modalities of service delivery. Client characteristics were also examined as moderators of the association between modality and alliance or outcome.Results Clients receiving teletherapy showed noninferior alliance and clinical outcome when compared to clients receiving in-person psychotherapy. A significant main effect on alliance was found with regard to race and ethnicity. A significant main effect on outcome was found with regard to international student status. Significant interactions on alliance were found between cohort and current financial stress.Conclusions Study findings support the continued use of teletherapy by demonstrating commensurate clinical process and outcome. Yet, it will be important for providers to be aware of existing mental health disparities that continue to accompany psychotherapy - in person and via teletherapy. Results and findings are discussed in terms of research and clinical implications. Future directions for researching teletherapy as a viable treatment delivery method are also discussed.

Online therapy with families - what can families tell us about how to do this well? A qualitative study assessing families' experience of remote Dyadic Developmental Psychotherapy compared to face-to-face therapy

Dyadic Developmental Psychotherapy (DDP) is a family-based therapy for adopted children aiming to achieve secure attachment between the child and parent. Due to restrictions under the COVID-19 pandemic, delivery of DDP transitioned from face-to-face to online methods. This study aimed to explore families experience of online DDP compared to face-to-face DDP, looking at the advantages and disadvantages of remote delivery methods and the implications this has on future service delivery for clinicians. Semi-structured interviews with 6 families were conducted online. Analysis of transcripts using Interpretative Phenomenological Analysis (IPA) revealed four superordinate themes: environment and child engagement, non-verbal communication, travel and familiarity with remote interactions. Parents recognised the influence the physical and online environment had on their child's engagement levels, however, varied in their experience and hence preference of delivery method. All families emphasised the importance of non-verbal communication within DDP sessions and majority highlighted this may be lost online. For families who travelled to face-to-face DDP, car journeys provided a unique opportunity to decompress and reflect after sessions. For families where travel is unfeasible, online DDP was a lifeline, demonstrating the ability of remote therapy to widen access to specialist healthcare. Familiarity with online work emerged as a strong indicator of positive attitudes towards remote DDP, especially if the previous experience is positive and the child is confident using technology. Overall, families differed greatly in their experience of remote and face-to-face DDP indicating a new approach must be undertaken with each family beginning therapy, ensuring it is unique and individual to their needs.

SOME EFFECTS OF COVID-19 PANDEMIC ON PSYCHOTHERAPY

Psychotherapy is an independent, interdisciplinary science that encompasses psychotherapeutic directions based on scientific principles and methods. Through the psychotherapeutic process, psychotherapy aims to achieve personal growth, remove or lessen the intensity of existing psychosocial, psychosomatic and behavioral problems and suffering, as well as help develop more functional patterns of behavior and experiences of interpersonal relationships or value systems. Research has shown that the COVID-19 pandemic has had a strong impact on psychotherapy in terms of the way it is carried out, change in the environment in which it is performed, and online psychotherapy has been introduced. The aim of this study was to find information, through available literature, on the impact of the pandemic on mental health and psychotherapy, and also to spread awareness about the current identified risks connected to the greater morbidity of psychiatric disorders and diseases and the need of psychotherapeutic interventions. Previous studies have shown that the pandemic increased the incidence of psychological disorders and diseases and the need of psychological intervention. Available data have shown that in the times of strict epidemiological measures during the COVID-19 pandemic, certain modifications of the psychotherapeutic process were made in terms of the use of online psychotherapy.

Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data

Telemedicine (TM) has augmented healthcare by enabling remote consultations, diagnosis, treatment, and monitoring of patients, thereby improving healthcare access and patient outcomes. However, successful adoption of TM depends on user acceptance, which is influenced by technical, socioeconomic, and health-related factors. Leveraging machine learning (ML) to accurately predict these adoption factors can greatly contribute to the effective utilization of TM in healthcare. The objective of the study was to compare 12 ML algorithms for predicting willingness to use TM (TM try) among patients with rheumatic and musculoskeletal diseases (RMDs) and identify key contributing features. We conducted a secondary analysis of RMD patient data from a German nationwide cross-sectional survey. Twelve ML algorithms, including logistic regression, random forest, extreme gradient boosting (XGBoost), and neural network (deep learning) were tested on a subset of the dataset, with the inclusion of only RMD patients who answered "yes" or "no" to TM try. Nested cross-validation was used for each model. The best-performing model was selected based on area under the receiver operator characteristic (AUROC). For the best-performing model, a multinomial/multiclass ML approach was undertaken with the consideration of the three following classes: "yes", "no", "do not know/not answered". Both one-vs-one and one-vs-rest strategies were considered. The feature importance was investigated using Shapley additive explanation (SHAP). A total of 438 RMD patients were included, with 26.5% of them willing to try TM, 40.6% not willing, and 32.9% undecided (missing answer or "do not know answer"). This dataset was used to train and test ML models. The mean accuracy of the 12 ML models ranged from 0.69 to 0.83, while the mean AUROC ranged from 0.79 to 0.90. The XGBoost model produced better results compared with the other models, with a sensitivity of 70%, specificity of 91% and positive predictive value of 84%. The most important predictors of TM try were the possibility that TM services were offered by a rheumatologist, prior TM knowledge, age, self-reported health status, Internet access at home and type of RMD diseases. For instance, for the yes vs. no classification, not wishing that TM services were offered by a rheumatologist, self-reporting a bad health status and being aged 60-69 years directed the model toward not wanting to try TM. By contrast, having Internet access at home and wishing that TM services were offered by a rheumatologist directed toward TM try. Our findings have significant implications for primary care, in particular for healthcare professionals aiming to implement TM effectively in their clinical routine. By understanding the key factors influencing patients' acceptance of TM, such as their expressed desire for TM services provided by a rheumatologist, self-reported health status, availability of home Internet access, and age, healthcare professionals can tailor their strategies to maximize the adoption and utilization of TM, ultimately improving healthcare outcomes for RMD patients. Our findings are of high interest for both clinical and medical teaching practice to fit changing health needs caused by the growing number of complex and chronically ill patients.

Evaluation of Online Counseling through the Working Experiences of Mental Health Therapists Amidst the COVID-19 Pandemic

This study aimed to reflect on mental health professionals' experiences with online counseling during the COVID-19 pandemic, as well as their perceptions and recommendations for the future. The method of qualitative research with semi-structured interviews was used. The sample consisted of 17 mental health professionals working in the public or private sectors. A framework analysis revealed four main themes, namely (a) the evaluation of online counseling; (b) comparing in-person and online counseling; (c) factors influencing the effectiveness of online counseling; and (d) suggestions for the future use of online counseling. Most therapists reported that their overall experience with online counseling was positive. The main advantages cited were the accessibility for everyone and the reductions in time, money, and distance. Its primary drawbacks included less nonverbal communication, the inability to employ certain therapeutic tools, problems with confidentiality, lack of experience, and technical difficulties during online sessions. Its effectiveness depends on contextual factors and factors related to the therapeutic process itself. Organizational planning, training, and a solid implementation strategy may help ensure that this communication medium is used to its fullest potential. In addition, the possible utilization of remote counseling combined with in-person psychotherapeutic intervention methods will provide solutions for the future, especially in crisis situations.

Integrating exploration and prediction in computational psychotherapy science: proof of concept

Introduction

Psychotherapy research has long preferred explanatory over predictive models. As a result, psychotherapy research is currently limited in the variability that can be accounted for in the process and outcome of treatment. The present study is a proof-of-concept approach to psychotherapy science that uses a datadriven approach to achieve robust predictions of the process and outcome of treatment.

Methods

A trial including 65 therapeutic dyads was designed to enable an adequate level of variability in therapist characteristics, overcoming the common problem of restricted range. A mixed-model, data-driven approach with cross-validation machine learning algorithms was used to predict treatment outcome and alliance (within- and between-clients; client- and therapist-rated alliance).

Results and discussion

Based on baseline predictors only, the models explained 52.8% of the variance for out-of-sample prediction in treatment outcome, and 24.1-52.8% in therapeutic alliance. The identified predictors were consistent with previous findings and point to directions for future investigation. Although limited by its sample size, this study serves as proof of the great potential of the presented approach to produce robust predictions regarding the process and outcome of treatment, offering a potential solution to problems such as p-hacking and lack of replicability. Findings should be replicated using larger samples and distinct populations and settings.

Alcohol use disorder treatment via video conferencing compared with in-person therapy during COVID-19 social distancing : A non-inferiority comparison of three cohorts

BACKGROUND

Social distancing measures during the COVID-19 pandemic forced an abrupt transformation of treatment delivery for mental health care. In mid-March 2020, nearly all in-person contact was replaced with video conferencing. The pandemic thus offered a natural experiment and a unique opportunity to conduct an observational study of whether alcohol use disorder treatment through video conferencing is non-inferior to in-person treatment.

METHODS

In a large urban substance use disorder treatment center in the Netherlands, treatment evaluation is routine practice. Outcome data are regularly collected to support shared decision making and monitor patient progress. For this study, pre-test and post-test data on alcohol use (Measurements in the Addictions for Triage and Evaluation), psychopathology (Depression Anxiety Stress Scales), and quality of life (Manchester Short Assessment of Quality of Life) were used to compare outcomes of cognitive behavioral therapy treatment for three cohorts: patients who received treatment for a primary alcohol use disorder performed prior to (n = 628), partially during (n = 557), and entirely during (n = 653) the COVID-19 lockdown.

RESULTS

Outcome was similar across the three cohorts: No inferior outcomes were found for treatments that were conducted predominantly through video conferencing during lockdown or treatments that started in-person, but were continued through video conferencing, compared to in-person treatments that were conducted prior to COVID-19. The number of drop-outs were also similar between cohorts. However, there was a difference in average treatment intensity between cohorts, with treatment partially or fully conducted during the COVID-19 pandemic lasting longer.

CONCLUSIONS

Treatment for a primary alcohol use disorder, provided partially or predominantly through video conferencing during the COVID-19 pandemic resulted in abstinence rates and secondary outcomes similar to traditional in-person care, in spite of the potentially negative effects of the COVID-related lockdown measures themselves. These results from everyday clinical practice corroborate findings of randomized controlled studies and meta-analyses in which video conferencing appeared non-inferior to in-person care in clinical effectiveness.

Frontline experiences of delivering remote mental health supports during the COVID-19 pandemic in Scotland: innovations, insights and lessons learned from mental health workers

COVID-19 restrictions drove rapid adaptations to service delivery and new ways of working within Scotland's mental health sector. This study explores mental health workers' (MHWs') experiences of delivering their services remotely. Twenty participants, who had worked in mental health professions in the National Health Service (NHS) in Scotland throughout the COVID-19 pandemic, took part in online semi-structured interviews. Data was transcribed then analysed using an inductive thematic analysis. Two major themes are reported: (1) 'Improved Flexibility for both MHWs and Service Users' and (2) 'Teletherapies Challenge Therapeutic Boundaries'. In relation to (1) virtual platforms were seen as vital in maintaining patient care throughout the COVID-19 pandemic and a valuable resource for service users (SUs) who had previously struggled with mobility or social anxieties when accessing face-to-face services. Some MHWs' also noted benefits for their productivity and comfort. Regarding (2) MHWs highlighted that whilst conducting teletherapies from home, work-life boundaries became blurred and, in some instances, typically comforting spaces became associated with the traumatic content discussed by SUs. These stressors seemed to be compounded by MHWs' isolation, as they were less able to draw upon their colleagues for support. Further, confidentiality could not be assured, as MHWs and SUs alike had to accommodate their family members. These findings highlight important insights from MHWs in adapting to rapid changes in mental health working practices, particularly in relation to the challenges of delivering quality, safe and equitable services and the increased use of teletherapies. Such insights are vital in informing service developments and supporting future pandemic preparedness across a range of healthcare contexts and countries seeking to adopt hybrid models of mental health service delivery.

Adjusting to a new reality: Consensual qualitative research on therapists' experiences with teletherapy

OBJECTIVE

In the wake of the COVID-19 pandemic, the use of teletherapy has become more pervasive than ever. Many therapists faced this move to a remote setting with little experience or training. We aimed to qualitatively examine therapists' subjective experience of providing teletherapy, including changes in technique, the therapeutic relationship, and the therapeutic process.

METHODS

Thirty-one psychotherapists participated in semistructured interviews. Interviews were recorded, then transcribed and analyzed using the Consensual Qualitative Research method.

RESULTS

Therapists typically reported a change in the therapeutic relationship in terms of an increased sense of disconnection as well as shifts in various aspects of the relational dynamics, and they also typically experienced differences in the therapy process due to changes in patient and therapist engagement in the therapeutic work. Additionally, some therapists also reported that they became more active and directive in sessions, took a more informal, personal, or relaxed approach to interacting with patients, and while the emotional connection changed and they missed the energy and intimacy of in-person sessions, the relationship in telesessions felt more authentic and human for some, and teletherapy also provided a way to discuss new dimensions in the process.

CONCLUSION

Overall, these results suggest great variability in therapists' subjective experiences with teletherapy, and present teletherapy as a distinct therapy format in many aspects. Further process-level research and subsequent training is needed to better equip therapists to navigate teletherapy's challenges and harness its unique opportunities.

Psychotherapy Under Lockdown: The Use and Experience of Teleconsultation by Psychotherapists During the First Wave of the COVID-19 Pandemic

Background

Facing the COVID-19 pandemic, some psychotherapists had to propose remote consultations, i.e., teleconsultation. While some evidence suggests positive outcomes from teleconsultation, professionals still hold negative beliefs towards it. Additionally, no rigorous and integrative practice framework for teleconsultation has yet been developed. This article aims to explore the use and experience of teleconsultation by 1) investigating differences between psychotherapists proposing and not proposing it; 2) evaluating the impact of negative attitudes towards teleconsultation on various variables; 3) determining the perceived detrimental effect of teleconsultation, as opposed to in-person, on the therapeutic relationship and personal experience; and 4) providing insights for the development of a teleconsultation practice framework.

Method

An online survey was distributed via different professional organisations across several countries to 246 (195 women) French-speaking psychotherapists.

Results

Psychotherapists who did not propose teleconsultation believed it to be more technically challenging than psychotherapists who proposed it, but felt less constrained to propose it, and had less colleagues offering it. Attitudes towards teleconsultation showed no significant associations with therapeutic relationship, personal experience, and percentage of teleconsultation. As compared to in-person, empathy, congruence, and therapeutic alliance were perceived to significantly deteriorate online, whereas work organisation was perceived to be significantly better. While most psychotherapists proposed remote consultations, they did not provide adaptations to such setting (e.g., ascertaining a neutral video background); nor used videoconferencing platforms meeting privacy and confidentiality criteria.

Conclusion

Training and evidenced-based information should be urgently provided to practitioners to develop rigorous guidelines and an ethically and legally safe practice framework.

Trainee Therapists' Perceptions of a Blended Intervention to Promote Resilience after a Natural Disaster: A Qualitative Case Study

BACKGROUND

Natural disasters happen in an increased frequency, and telemental health interventions could offer easily accessible help to reduce mental health symptoms experienced by survivors. However, there are very few programs offered to natural disaster survivors, and no research exists on therapists' experiences with providing blended interventions for natural disaster survivors.

AIMS

Our qualitative case study aims to describe psychologists' experiences with an online, therapist-assisted blended intervention for survivors of the Fort McMurray wildfires in Alberta, Canada.

METHOD

The RESILIENT intervention was developed in the frames of a randomized controlled trial to promote resilience after the Fort McMurray wildfires by providing survivors free access to a 12-module, therapist-assisted intervention, aiming to improve post-traumatic stress, insomnia, and depression symptoms. A focus group design was used to collect data from the therapists, and emerging common themes were identified by thematic analysis.

RESULTS

Therapists felt they could build strong alliances and communicate emotions and empathy effectively, although the lack of nonverbal cues posed some challenges. The intervention, according to participating therapists, was less suitable for participants in high-stress situations and in case of discrepancy between client expectations and the intervention content. Moreover, the therapists perceived specific interventions as easy-to-use or as more challenging based on their complexity and on the therapist support needed for executing them. Client engagement in the program emerged as an underlying theme that had fundamental impact on alliance, communication, and ultimately, treatment efficiency. Therapist training and supervision was perceived as crucial for the success of the program delivery.

CONCLUSIONS

Our findings provided several implications for the optimalization of blended interventions for natural disaster survivors from our therapists' perspective.

Clinicians' Attitudes Toward Telepsychology in Addiction and Mental Health Services, and Prediction of Postpandemic Telepsychology Uptake: Cross-sectional Study

BACKGROUND

The COVID-19 pandemic has resulted in unprecedented uptake of telepsychology services; however, clinicians have mixed attitudes toward virtual technologies.

OBJECTIVE

This study (1) explored clinicians' experiences of and intentions to use video, telephone, and in-person services, and (2) tested the utility of the unified theory of acceptance and use of technology (UTAUT) to predict clinicians' intentions to offer telepsychology after the COVID-19 pandemic.

METHODS

Clinician satisfaction and therapeutic alliance were compared across in-person, video, and telephone services, while technology attitudes and intention to use after the pandemic were compared across video and telephone services among 118 addiction and mental health clinicians during the COVID-19 pandemic.

RESULTS

Clinicians reported more positive experiences with in-person services than both virtual technologies; further, clinicians reported greater positive experiences, attitudes, and intentions to use video services than telephone services across measures. Based on the UTAUT, performance expectancy positively predicted concurrent intentions to use video services (β=0.46; P<.001) and telephone services (β=0.35; P<.001) after the pandemic. Social influence (β=0.24; P=.004) and facilitating conditions (β=0.19; P=.03) additionally predicted the intention to use telephone services.

CONCLUSIONS

Clinicians rated in-person services more positively than virtual technologies, with video services perceived more positively than telephone services. Performance expectancy was the primary facilitator of the uptake of both virtual modalities.

Impact of COVID‐19 social distancing measures on routine mental health care provision and treatment outcome for common mental disorders in the Netherlands

Objective

The uptake of digital interventions in mental health care (MHC) has been slow, as many therapists and patients believe that in‐person contact is essential for establishing a good working relationship and good outcomes in treatment. The public health policies regarding social distancing during the coronavirus disease‐2019 (COVID‐19) pandemic forced an abrupt transformation of MHC provisions for outpatients: Since mid‐March 2020, nearly all in‐person contact was replaced with videoconferencing. The COVID‐19 crisis offered a unique opportunity to investigate whether MHC with videoconferencing yields inferior results as compared to in‐person interventions.

Method

In a large urban MHC facility in the Netherlands, measurement‐based care is routine practice. Outcome data are regularly collected to support shared decision making and monitor patient progress. For this study, pretest and post‐test data were used to compare outcomes for three cohorts: treatments performed prior to, partially during and entirely during the COVID‐19 lockdown. Outcomes were compared in two large data sets: Basic MHC (N = 1392) and Specialized MHC (N = 1040).

Results

Therapeutic outcomes appeared robust for COVID‐19 conditions across the three cohorts: No differences in outcomes were found between treatments that were conducted during lockdown compared to in‐person treatments prior to COVID‐19, or treatments which started in‐person, but needed to be continued by means of videoconferencing.

Discussion

Videoconferencing care during the COVID‐19 pandemic had similar outcomes compared to traditional in‐person care. These real‐world results corroborate findings of previous randomized controlled studies and meta‐analyses in which videoconferencing and in‐person care has been directly compared in terms of clinical effectiveness.

User experience reevaluation and diffusion of technology in the context of compulsory usage illustrated by the example of telepsychotherapy—a literature review

Objective

Models explaining technology acceptance fail to recognize the influence temporary, compulsory usage, meaning forced usage due to external factors, may have on user evaluation and continued diffusion. However, in context of the Covid-19 pandemic, a highly infectious respiratory disease, the significance of this factor is evident. Triggered by legal contact restrictions and extended reimbursement capacities, usage of telepsychotherapy increased drastically, thereby influencing therapists' attitude and increasing the technology's maturity. In this comprehensive literature review, we aim to outline the current state of research toward telepsychotherapy adoption and identify potential influences of the compulsory usage on the reevaluation of technology as well as barriers inhibiting and factors promoting future use.

Methods

The review was conducted on the five databases ScienceDirect, Web of Science, PubMed, PubPsych, and IEEE up to April 2022.

Results

Out of 685 identified references, a final selection was made of 22 papers, discussing experiences with telepsychotherapy in the context of the Covid-19 pandemic. Satisfaction and intention to use are universally high, further increasing with time and use experience, while perceived challenges decrease. Barriers include mostly contextual factors, such as technical issues, reimbursement issues, strict regulations, insufficient infrastructure, and lack of organizational support, but also concerns regarding efficacy. Promoting factors are training, guidelines, and organizational support.

Conclusions

Telepsychohtherapy has become an integral part of psychotherapeutic care. A hybrid system in close coordination between provider and patient may prevail, addressing individual needs of both parties to achieve optimal care and provider well-being. This requires transparent regulations, guidelines, and standards.

The development of a self-report scale to assess therapists' acceptance of telepsychotherapy

OBJECTIVE

We aimed to develop a self-report measure of therapist acceptance of telepsychotherapy based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework.

METHODS

Using a cross-sectional survey design, 1265 therapists completed the UTAUT-T, as well as additional questions.

RESULTS

Confirmatory analysis indicated that the original UTAUT model did not fit the therapist context well. Exploratory factor analysis specified a better-fitting five-factor model, which showed good internal validity fit (χ²  = 17,753.36, RMSEA = 0.063, TLI = 0.886, SRMSR = 0.04). The five UTAUT-T subscales showed high internal consistency (Cronbach's α = 0.86) and together predicted the intention to use online therapy in the future (R²  = 0.42, F(5, 1259) = 181.9, p < 0.001).

CONCLUSION

The 21-item UTAUT-T offers a promising self-report measure of therapist acceptance of telepsychotherapy and intention towards using it in the future. Future studies on the convergent and predictive validity of the UTAUT-T are warranted.