Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-25T14:19:40.023Z Has data issue: false hasContentIssue false

A qualitative exploration of adolescents’ experiences of digital Dialectical Behaviour Therapy during the COVID-19 pandemic

Published online by Cambridge University Press:  18 November 2022

Natasha Ramzan*
Affiliation:
Institute of Psychiatry, Psychology and Neuroscience, King’s College London, De Crespigny Park, London SE5 8AB, UK Dialectical Behaviour Therapy Service, National and Specialist Child and Adolescent Mental Health Service (CAMHS), South London and Maudsley NHS Foundation Trust, Michael Rutter Centre, De Crespigny Park, London SE5 8AZ, UK
Rebecca Dixey
Affiliation:
Dialectical Behaviour Therapy Service, National and Specialist Child and Adolescent Mental Health Service (CAMHS), South London and Maudsley NHS Foundation Trust, Michael Rutter Centre, De Crespigny Park, London SE5 8AZ, UK
Andre Morris
Affiliation:
Dialectical Behaviour Therapy Service, National and Specialist Child and Adolescent Mental Health Service (CAMHS), South London and Maudsley NHS Foundation Trust, Michael Rutter Centre, De Crespigny Park, London SE5 8AZ, UK
*
*Corresponding author. Email: [email protected], [email protected]
Rights & Permissions [Opens in a new window]

Abstract

The UK government implemented national social-distancing measures in response to the global COVID19 pandemic. As a result, many appointments in the National Health Service (NHS) took place virtually, including psychological interventions in out-patient settings. This study explored the experiences of adolescents participating in a dialectical behaviour therapy (DBT-A) programme via teletherapy (i.e. via video or telephone call) in a Children and Adolescent Mental Health Service (CAMHS). Thirteen adolescents with emotion dysregulation and related problems completed an online qualitative survey about their experience and acceptance of DBT-A delivered virtually. Thematic analysis was conducted on the survey data and generated three over-arching themes: (1) sense of loss; (2) feeling uncontained; and (3) benefits of virtual DBT. These over-arching themes were composed of eight subthemes (‘loss of connection with group and therapist’; ‘loss of skills-building opportunities’; ‘limited privacy’; ‘lack of safe therapy space’; ‘difficult endings’; ‘home comforts’; ‘convenience and accessibility’; and ‘easier to participate with others’). This study suggests that adolescents doing virtual DBT-A need approaches that acknowledge and address the additional relational, emotional and practical challenges of online therapy while maintaining fidelity to the evidence-based treatment model. Suggestions for further research and preliminary practice guidelines are discussed.

Key learning aims

  1. (1) To learn about the experiences of adolescents participating in a DBT programme for adolescents (DBT-A) conducted virtually, including the challenges and benefits they identified.

  2. (2) To learn about implications for clinical practice and future research directions.

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the British Association for Behavioural and Cognitive Psychotherapies

Introduction

The COVID-19 pandemic, which escalated in early 2020, led to sudden shifts in the delivery of mental health services due to strict social distancing and lockdown measures (Gruber et al., Reference Gruber, Prinstein, Clark, Rottenberg, Abramowitz, Albano, Aldao, Borelli, Chung, Davila, Forbes, Gee, Hall, Hallion, Hinshaw, Hofmann, Hollon, Joormann, Kazdin and Weinstock2020). In response to these challenges, many mental health services incorporated various forms of virtual therapy into their service delivery models to balance social distancing restrictions with clinical demand (Gruber et al., Reference Gruber, Prinstein, Clark, Rottenberg, Abramowitz, Albano, Aldao, Borelli, Chung, Davila, Forbes, Gee, Hall, Hallion, Hinshaw, Hofmann, Hollon, Joormann, Kazdin and Weinstock2020). When it came to working with adolescents who suffer with severe difficulties with emotion regulation, there was limited research to inform the transition from face-to-face services to virtual service delivery. Specifically, the benefits and challenges of offering services virtually were unknown, and thus became the focus of the current study.

Recent evidence suggests that the pandemic has had a substantial influence on children and adolescents’ mental health (Ougrin et al., Reference Ougrin, Wong, Vaezinejad, Plener, Mehdi, Romaniuk, Barrett, Hussain, Lloyd, Tolmac, Rao, Chakrabarti, Carucci, Moghraby, Elvins, Rozali, Skouta, McNicholas, Kuruppuaracchi and Landau2021; Rogers et al., Reference Rogers, Chesney, Oliver, Pollak, McGuire, Fusar-Poli, Zandi, Lewis and David2020). Adolescents can experience a range of mental health challenges, including self-harm and suicidal behaviours (Hawton et al., Reference Hawton, Saunders and O’Connor2012). Suicide is the fourth leading cause of death in children and adolescents (World Health Organization, 2020), and a history of self-harming behaviour is a critical risk factor for completed suicide in adolescents (Hawton and Harris, Reference Hawton and Harris2007). Since 2010, there has been a 68% increase in adolescent self-harm and a 67% increase in adolescent completed suicide rates in England and Wales (Office for National Statistics, 2019). In the past year, the proportion of children and adolescents presenting with self-harm at emergency departments increased from 50 to 57%, and from 58 to 66% for subgroups with self-harm and emotional disorders (Ougrin et al., Reference Ougrin, Wong, Vaezinejad, Plener, Mehdi, Romaniuk, Barrett, Hussain, Lloyd, Tolmac, Rao, Chakrabarti, Carucci, Moghraby, Elvins, Rozali, Skouta, McNicholas, Kuruppuaracchi and Landau2021). Self-harm is considered to be a significant problem in several mental health disorders, including borderline personality disorder (Linehan, Reference Linehan1993).

Borderline personality disorder

The range of difficulties experienced by people with a diagnosis of borderline personality disorder (BPD) may present additional treatment challenges when therapy is delivered virtually. BPD is a diagnosis used to describe a pattern of instability in personal relationships, intense emotions, poor self-image, and impulsivity (American Psychiatric Association, 2013). The diagnosis is made based on the presence of at least five of the following problems: fear of abandonment/rejection; unstable or changing relationships; unstable self-image/struggles with identity or sense of self; impulsive or self-damaging behaviours; suicidal behaviour or self-injury; mood instability; chronic feelings of emptiness; problems with anger; and transitory, stress-related paranoia or loss of contact with reality (American Psychiatric Association, 2013). This same range of problems is also often diagnosed in the UK public health system as emotionally unstable personality disorder (EUPD) (World Health Organization, 2019). In this paper, we use the term BPD when referring to the literature, for consistency and in accordance with the diagnostic system and terminology most often employed by the authors we have referenced.

A growing body of literature supports the validity and value of using BPD diagnoses in adolescents (Chanen et al., Reference Chanen, Jovev, Djaja, McDougall, Yuen, Rawlings and Jackson2008; Miller et al., Reference Miller, Muehlenkamp and Jacobson2008), although controversies around diagnosing BPD in adolescents have been highlighted (Bleiberg, Reference Bleiberg1994; Miller et al., Reference Miller, Muehlenkamp and Jacobson2008). Critiques of the BPD construct in both adults and adolescents have emphasised concerns relating to conceptual issues (Bleiberg, Reference Bleiberg1994), empirical support (Bondurant et al., Reference Bondurant, Greenfield and Tse2004; Westen et al., Reference Westen, Shedler, Durrett, Glass and Martens2003), and clinical utility (Bemporad et al., Reference Bemporad, Smith, Hanson and Cicchetti1982). In addition, service users describe the experience of being diagnosed as feeling stigmatised, judged, marginalised and objectified (Castillo and Mind, Reference Castillo and Mind2003). In recognition of these controversies, particularly concerning the diagnosis of BPD in adolescents, and to be consistent with established practices in our clinical setting, we have chosen to describe our participants’ mental health difficulties without using diagnostic labels. Instead, we refer to adolescents with emotion dysregulation and related problems.

Adolescents with emotion dysregulation often experience related problems, including self-harm, suicidal behaviours, significant challenges in relationships (e.g. fear of abandonment and rejection), cognitive and neurodevelopmental vulnerabilities, and questioning of self-identity (Hawton et al., Reference Hawton, Saunders and O’Connor2012).

Dialectical behaviour therapy

Dialectical behaviour therapy (DBT) is an intensive treatment, designed to address the complexity and severity of the difficulties associated with BPD, and the often-high levels of risk that can accompany these. ‘Standard’ DBT is usually delivered as a comprehensive treatment programme incorporating multiple modes that include weekly individual therapy sessions, a weekly skills training group, brief telephone coaching calls between sessions, and a weekly team consultation meeting for therapists (Linehan, Reference Linehan1993). Most of the treatment is delivered via the individual and group sessions, traditionally conducted in-person. Despite the potential challenges of providing these modes of the treatment virtually, there is a paucity of studies examining the use of teletherapy in DBT.

DBT is one of the most commonly used treatments for adults with BPD (Rizvi et al., Reference Rizvi, Dimeff, Skutch, Carroll and Linehan2011; Linehan et al., Reference Linehan, Korslund, Harned, Gallop, Lungu, Neacsiu and Murray-Gregory2015). DBT has been demonstrated to be effective in numerous randomised control trials (RCTs) (Linehan et al., Reference Linehan, Korslund, Harned, Gallop, Lungu, Neacsiu and Murray-Gregory2015; McMain et al., Reference McMain, Links, Gnam, Guimond, Cardish, Kormann and Streiner2009). Meta-analyses of trials of DBT with adults diagnosed with BPD have demonstrated DBT to be superior to treatment as usual (TAU) in reducing suicidal and self-injurious behaviours (Kliem et al., Reference Kliem, Kröger and Kosfelder2010; Panos et al., Reference Panos, Jackson, Hasan and Panos2014).

In the last decade, a number of studies have evaluated the effectiveness of DBT for adolescents experiencing emotion dysregulation and related problems (McCauley et al., Reference McCauley, Berk, Asarnow, Adrian, Cohen, Korslund and Linehan2018; Mehlum et al., Reference Mehlum, Tørmoen, Ramberg, Haga, Diep, Laberg and Grøholt2014; Santamarina-Perez et al., Reference Santamarina-Perez, Mendez, Singh, Berk, Picado, Font and Romero2020). However, there is a gap in the literature regarding the delivery of virtual DBT for this population. Miller et al. (Reference Miller, Rathus and Linehan2007) developed DBT for adolescents (DBT-A) experiencing emotion dysregulation and related problems and their parents or carers. Rathus and Miller (Reference Rathus and Miller2002) adapted Linehan’s original model with some key differences in the structure. In DBT-A parents and carers can also access skills training groups, to improve family relationships and communication and help parents support adolescents’ ability to generalise their skills. The treatment is shorter, to help frame completion as achievable for a population with a typically high attrition rate. The volume of skills taught and the language used in group materials are reduced and simplified, to facilitate adolescents’ understanding of the skills training content (Rathus and Miller, Reference Rathus and Miller2002).

According to Koerner et al. (Reference Koerner, Dimeff, Swenson, Dimeff and Koerner2007), adaption (as opposed to simple adoption) of DBT in different settings compromises its core therapeutic elements, as described by Linehan (Reference Linehan1993), and the risk of reduced effectiveness, in addition to ethical issues, may have to be considered. Despite these concerns and controversies, DBT-A retains the core components of the standard DBT model and is supported by an emerging evidence base. DBT-A has been demonstrated to be more effective than TAU in reducing self-harm and suicidal ideation in adolescents in RCTs (Mehlum et al., Reference Mehlum, Tørmoen, Ramberg, Haga, Diep, Laberg and Grøholt2014; McCauley et al., Reference McCauley, Berk, Asarnow, Adrian, Cohen, Korslund and Linehan2018; Santamarina-Perez et al., Reference Santamarina-Perez, Mendez, Singh, Berk, Picado, Font and Romero2020) and meta-analyses (Bahji et al., Reference Bahji, Pierce, Wong, Roberge, Ortega and Patten2021; Kothgassner et al., Reference Kothgassner, Goreis, Robinson, Huscsava, Schmahl and Plener2021). In the NHS, DBT-A is the recommended evidence-based treatment for children and young people with significant emotion dysregulation difficulties who have frequent episodes of self-harm (National Institute for Health and Care Excellence, 2022).

Despite the demonstrated effectiveness of DBT, over one in four clients in DBT leave treatment before completion (Dixon and Linardon, Reference Dixon and Linardon2020). Studies exploring adolescents’ subjective experiences of DBT-A programmes are rare, yet these are critical for understanding the challenges they may encounter that can interfere with treatment engagement and effectiveness. Participants in a qualitative study of adolescents’ experiences in a DBT-A skills group (Pardo et al., Reference Pardo, Barnier, Mirabent, Lizeaga, Cosgaya, Alcántara, González, Aguirre and Torres2020) stressed the importance of active therapist involvement in their motivation, engagement, learning and group cohesion. Furthermore, the study reported that participants felt less alone when they formed relationships with peers who shared similar struggles.

Internet-based mental health interventions

As the quality and accessibility of technological aids such as the internet and smartphone applications (apps) have improved, studies have increasingly been conducted to evaluate the efficacy of psychological therapies delivered virtually, including those based on cognitive behavioural therapy (CBT) (Andersson, Reference Andersson2009; Andersson et al., Reference Andersson, Enander, Andrén, Hedman, Ljótsson, Hursti, Bergström, Kaldo, Lindefors, Andersson and Rück2012; Donker et al., Reference Donker, Petrie, Proudfoot, Clarke, Birch and Christensen2013; Spence et al., Reference Spence, Donovan, March, Gamble, Anderson, Prosser and Kenardy2011), and DBT (Rizvi et al., Reference Rizvi, Dimeff, Skutch, Carroll and Linehan2011; Rizvi et al., Reference Rizvi, Hughes and Thomas2016). Studies have also examined online self-help interventions with either low-level therapist involvement (such as reviewing homework assignments via email) or no therapist involvement (Andersson et al., Reference Andersson, Enander, Andrén, Hedman, Ljótsson, Hursti, Bergström, Kaldo, Lindefors, Andersson and Rück2012; Andersson and Titov, Reference Andersson and Titov2014; Storch et al., Reference Storch, Caporino, Morgan, Lewin, Rojas, Brauer and Murphy2011).

There is extensive literature on the effectiveness of internet-based cognitive behavioural therapy (ICBT). ICBT consists of web-based modules with assigned homework or a task at the end of each module or the use of mobile self-help apps (Andersson, Reference Andersson2009). RCTs with adults have demonstrated the effectiveness of ICBT, with and without therapist support, for various psychiatric disorders, including panic disorder (Bergström et al., Reference Bergström, Andersson, Ljótsson, Rück, Andréewitch, Karlsson, Carlbring, Andersson and Lindefors2010), social anxiety disorder (Hedman et al., Reference Hedman, Ljótsson and Lindefors2012; Hedman et al., Reference Hedman, Andersson, Andersson, Lindefors, Lekander, Rück and Ljótsson2013), mood disorder (Arnberg et al., Reference Arnberg, Linton, Hultcrantz, Heintz and Jonsson2014), and post-traumatic stress disorder (Sijbrandij et al., Reference Sijbrandij, Kunovski and Cuijpers2016), with effect sizes similar to face-to-face CBT delivery for several psychiatric disorders (Bergström et al., Reference Bergström, Andersson, Ljótsson, Rück, Andréewitch, Karlsson, Carlbring, Andersson and Lindefors2010). Studies evaluating the effectiveness of virtual therapy with a therapist via video for adults with psychiatric disorders have shown some encouraging preliminary results but are generally limited, with a distinct lack of RCTs so far (Gros et al., Reference Gros, Morland, Greene, Acierno, Strachan, Egede and Frueh2013).

Limited studies examine the effectiveness of ICBT for psychiatric disorders in children and adolescents. Smith et al.’s (Reference Smith, Scott, Eshkevari, Jatta, Leigh, Harris, Robinson, Abeles, Proudfoot, Verduyn and Yule2015) RCT of a computerised 8-week CBT intervention for adolescents found significant reductions in depression and anxiety. A qualitative study by Lenhard et al. (Reference Lenhard, Vigerland, Engberg, Hallberg, Thermaenius and Serlachius2016) described the experiences of adolescents with obsessive compulsive disorder (OCD) participating in ICBT. Participants described their experience participating in ICBT as supportive, flexible, and secure for expressing their feelings and thoughts (Lenhard et al., Reference Lenhard, Vigerland, Engberg, Hallberg, Thermaenius and Serlachius2016). However, none of these studies explored interventions in which video conferencing with therapists was a core component. Existing studies also excluded participants with axis II disorders, whilst high levels of risk (i.e. suicidal ideation requiring face-to-face treatment) were also listed as an exclusion criteria (Andersson et al., Reference Andersson, Enander, Andrén, Hedman, Ljótsson, Hursti, Bergström, Kaldo, Lindefors, Andersson and Rück2012; Lenhard et al., Reference Lenhard, Vigerland, Engberg, Hallberg, Thermaenius and Serlachius2016; Matsumoto et al., Reference Matsumoto, Sutoh, Asano, Seki, Urao, Yokoo and Nagata2018; Storch et al., Reference Storch, Caporino, Morgan, Lewin, Rojas, Brauer and Murphy2011). While the treatment success outlined in the existing literature is evident in its indication that there can be significant benefits to online therapeutic interventions, there are ultimately distinctions between participants engaging in ICBT in the existing literature and those requiring a DBT/DBT-A intervention, lending weight to the rationale for this study.

CBT and DBT-A are structured and manualised therapeutic approaches, which can be delivered via videoconferencing or other internet-based methods (Schroeder et al., Reference Schroeder, Wilks, Rowan, Toledo, Paradiso and Linehan2018; Wilks et al., Reference Wilks, Lungu, Ang, Matsumiya, Yin and Linehan2018). However, only a few studies have examined the effectiveness of internet-based DBT interventions. In these studies, smartphone apps were primarily used as an adjunct to a face-to-face standard DBT programme for adults with BPD (Rizvi et al., Reference Rizvi, Dimeff, Skutch, Carroll and Linehan2011; Rizvi et al., Reference Rizvi, Hughes and Thomas2016; Wilks et al., Reference Wilks, Lungu, Ang, Matsumiya, Yin and Linehan2018) as opposed to virtual therapy delivery of DBT core components. Rizvi et al. (Reference Rizvi, Dimeff, Skutch, Carroll and Linehan2011) piloted using a smartphone app called ‘DBT Coach’ as an adjunct to a face-to-face standard DBT programme. This app includes content from all skills modules (mindfulness, distress tolerance, emotion regulation, and interpersonal effectiveness skills) and a diary card. Results indicated that emotional intensity and urges to use substances significantly decreased every time the app was accessed (Rizvi et al., Reference Rizvi, Dimeff, Skutch, Carroll and Linehan2011). Another study of the app within a standard DBT programme for adults found that it reduced subjective distress and urges to self-harm; however, it did not relate to any treatment outcomes (Rizvi et al., Reference Rizvi, Hughes and Thomas2016). Schroeder et al. (Reference Schroeder, Wilks, Rowan, Toledo, Paradiso and Linehan2018) assessed the acceptability and feasibility of an app called ‘Pocket Skills’ for adults enrolled in psychotherapy (model undefined). Pocket Skills is similar to the DBT Coach app. However, it is web-based rather than a smartphone app (Schroeder et al., Reference Schroeder, Wilks, Rowan, Toledo, Paradiso and Linehan2018). The study found that participants using Pocket Skills as an adjunct to their primary therapy reported increased self-efficacy, engagement, and significant improvements in depression, anxiety and DBT skills use (Schroeder et al., Reference Schroeder, Wilks, Rowan, Toledo, Paradiso and Linehan2018).

Research regarding how virtual DBT/DBT-A is experienced is minimal. One recent qualitative study identified a range of challenges clinicians encountered offering standard DBT virtually for adults during the pandemic (Zalewski et al., Reference Zalewski, Walton, Rizvi, White, Martin, O’Brien and Dimeff2021). In particular, participants noted difficulties assessing suicide risk and making clinical decisions in the moment without seeing someone in person. Many participants commented on novel therapy interfering behaviours (TIBs) their clients engaged in via telehealth, including clients logging off sessions early or turning off their video so they could not be seen. Participants reported challenges related to skills group participation and attendance, following standard individual therapy session procedures, responding effectively to client emotions, therapist burn-out, relationship challenges with consultation teams, and technology issues. Participants suggested addressing the range of challenges they had experienced when delivering DBT via virtual therapy, with a particular emphasis on managing the novel TIBs and maintaining fidelity to the evidence-based model. This study offered an opportunity to explore effective methods of delivering DBT via telehealth and highlighted the need for evidence-based clinical recommendations. However, the authors also acknowledged that the findings did not provide enough information to differentiate the lessons learned for delivering virtual DBT to adolescents (Zalewski et al., Reference Zalewski, Walton, Rizvi, White, Martin, O’Brien and Dimeff2021). Furthermore, as the study only surveyed DBT providers, the authors recommended that future research further explore the experience of service users engaging in virtual DBT, the challenges they encounter, and their suggestions for improving the experience (Zalewski et al., Reference Zalewski, Walton, Rizvi, White, Martin, O’Brien and Dimeff2021).

The current study aimed to explore adolescents’ perspectives on the challenges and benefits of virtual DBT-A and their suggestions for improving service delivery and service user experience. This study explored the following questions:

  1. (1) What challenges and benefits have adolescents encountered in virtual DBT-A?

  2. (2) How acceptable have they found doing virtual DBT-A?

  3. (3) What suggestions do they have for improving the experience of virtual DBT-A?

Method

Given the aims of the current study, a qualitative paradigm was chosen. Qualitative methods are frequently used in psychosocial research to explore individual experiences, meaning and perspectives (Willig and Stainton Rogers, 2017). Qualitative methods are often employed in health settings for evaluation, policy development, implementation, and identifying meaningful outcomes (Berry et al., Reference Berry, Bucci and Lobban2017; McBride et al., Reference McBride, Morrissey and Molloy2020;). In developing the study’s methodology, we drew on a realist/essentialist epistemology in which we aimed to capture the experiences, meanings and reality of participants expressed within their dataset (Braun and Clarke, Reference Braun and Clarke2006). As we were interested in exploring meaning at the more explicit level, we took an inductive orientation to our data in which theme development was driven by data rather than existing theoretical constructs. Thematic analysis (TA) is a commonly employed and flexible method in qualitative research (Braun and Clarke, Reference Braun and Clarke2022) and was the method of choice, given its compatibility with an essentialist paradigm and the philosophical underpinnings of this project (Braun and Clarke, Reference Braun and Clarke2006).

The data collection method was an online survey due to design and pragmatic reasons. According to critics of surveys, a failure to probe responses with follow-up questions ultimately leads to diluted, perfunctory answers (Braun and Clarke, Reference Braun and Clarke2021). However, qualitative surveys can also provide detailed and nuanced accounts of participants, which interests qualitative researchers with carefully thought-out designs and carefully piloted questions (Braun and Clarke, Reference Braun and Clarke2021). This study was initiated during the first wave of the pandemic when strict social distancing measures were in place, and the impact of the virus was not fully understood. In addition, we were conscious of the substantially increased demands on adolescents using our service at the time in terms of school/college and virtual therapy. Due to these practical considerations and limitations, we chose to use a qualitative survey as an easily accessible, relatively straightforward method of online participation instead of in-depth interviews or focus groups.

The first author created the survey using the online Qualtrics™ platform. The survey questions were informed by previous research (Zalewski et al., Reference Zalewski, Walton, Rizvi, White, Martin, O’Brien and Dimeff2021) and input from the co-authors and a service user expert-by-experience (EBE), who was a graduate of the National and Specialist CAMHS DBT-A programme (see Appendix A in Supplementary material). The EBE then piloted the survey and following their feedback, final amendments were made.

In addition to some general demographics and preliminary questions, the key survey questions asked participants to provide free-text, written answers about various aspects of their experiences of virtual DBT-A, including individual and group therapy sessions, their relationships with therapists, the use of DBT-A procedures and resources, and the contrasting experience of virtual versus in-person therapy. Participants were encouraged to provide detailed responses.

Service setting

The National and Specialist CAMHS DBT Service is a Tier 4 out-patient programme offering DBT-A to adolescents up to 18 years and their parents/carers. Adolescents with emotion dysregulation and related difficulties are referred to the service from Tier 3 community CAMHS teams and Tier 4 adolescent psychiatric units across the country. The criteria for entry into the service include problems with emotion dysregulation, self-harm and/or suicidal behaviours, and at least three other areas of difficulties identified via the BPD module of the Structured Clinical Interview for DSM-IV (SCID-II; First et al., Reference First, Gibbon, Spitzer, Williams and Benjamin1997). A diagnosis of BPD is not automatically given to adolescents who meet those inclusion criteria, nor is it required for them to access DBT-A. It may be explored collaboratively with adolescents over time if they feel this would be helpful to them. Pre-treatment is offered to adolescents who meet the inclusion criteria to help establish a commitment to DBT-A and therapy goals. At the end of pre-treatment, adolescents and their therapists decide whether to commence the DBT-A programme. Adolescents are then offered an initial 8-month programme with the option to extend to 12 months if they are stabilising and progressing. Adolescents generally only exit treatment early if they miss four consecutive group or individual sessions, known in DBT-A as the four-session rule (Miller et al., Reference Miller, Rathus and Linehan2007).

The treatment consists of weekly individual DBT sessions, a weekly adolescent DBT-A skills group (for the first 6 months, including Distress Tolerance, Emotion Regulation, Interpersonal Effectiveness, Mindfulness, and Walking the Middle Path skills); telephone coaching for adolescents and parents/carers (Monday to Friday, 9 am to 5 pm, to support the generalisation of skills); a weekly parent and carer skills group (for the first 6 months); and parent/carer support and family sessions as required. Adherence to the DBT-A model is supported by weekly team consultation meetings, all clinicians in the service having completed at minimum a foundational level training in DBT with an accredited provider, and quarterly team consultation with an accredited DBT supervisor who is a recognised expert in the field.

Participants and recruitment

Participants were recruited from the National and Specialist CAMHS DBT-A Service at the Maudsley Hospital in the UK. All participants were currently enrolled in the DBT-A programme. Participants were 14–18 years old (mean age of 16 years). Among 30 eligible adolescents, 15 opted in after providing consent (for over-16s) and assent plus parental consent (for under-16s) (Table 1). Participants were included in the study if they were engaging in virtual DBT-A either through group therapy and/or individual therapy.

Table 1. Participant demographics

Procedure

The first author distributed the survey link via email to eligible, consenting adolescents within the service. The data from the surveys were stored electronically and securely by the first author.

Analysis

The survey data were manually coded and analysed by the first and second authors in accordance with the six-phases procedure of TA (Braun and Clarke, 2013):

  1. (1) Becoming familiar with and making sense of the data by reading and re-reading each interview transcript, noting down ideas and patterns, and writing a summary.

  2. (2) Generating initial codes by highlighting and labelling each section of the transcript that captures something meaningful and interesting about the data, collating and matching the relevant data to every code.

  3. (3) Searching for themes by examining the coded data to generate potential themes and grouping them.

  4. (4) Reviewing themes by checking them against data extracts to ensure that they are coherent, in a logical order and support each other.

  5. (5) Defining and naming the themes to help convey their subject matter; and

  6. (6) Writing up the report by refining and finalising the analysis and narrating a rich story of the data with generated themes and a sample of data extracts to demonstrate the findings.

The first author used a reflexive process throughout data collection and analysis, which included keeping a journal, reflecting on personal biases, and seeking consultation when needed. The themes developed were shared and discussed with the broader DBT-A service, stimulating ideas about how the programme could best support the practice of delivering adherent DBT-A virtually.

Results

Three over-arching themes (including eight key subthemes) described adolescents’ experience of virtual DBT-A (Table 2). Each theme is illustrated with survey response extracts as described below. The authors aimed to present representative excerpts from all participants; those selected were the most expressive and closely represented the themes.

Table 2. The three over-arching themes (and eight key subthemes) describing adolescents’ experience of virtual DBT-A

Over-arching theme 1 – Sense of loss

Many participants had been in the routine of attending in-person individual and group sessions before the pandemic. They described experiences of loss associated with attending DBT-A virtually, particularly in relationships with therapists and other service users, and decreased opportunities to practice being skilful.

Subtheme 1 – Loss of connection with group and therapists

Participants shared various challenges in feeling connected with their therapist via virtual DBT-A. For some, virtual therapy led to reduced motivation to engage in treatment than face-to-face sessions. P9 remarked on the change in their commitment and energy: ‘I feel like my therapist saw a side of me that was less willing to work on things over a video call, whereas when we had face-to-face sessions, I was always more enthusiastic and ready to talk and work’. P6 described the issues this created around reduced attendance, ‘I prefer to do face-to-face sessions as I’m more likely to do them. So I feel like I’ve missed a couple [of] sessions’. Another area of loss experienced by participants was their trust in their therapists. P10 remarked, ‘It was ok although harder to connect and trust the therapist’. Others discussed losses of confidence and feeling comfortable through having virtual therapy. P1 remarked, ‘I prefer person to person not over phone don’t have much confidence on the phone’. P6 highlighted increased difficulties talking about emotional material, ‘I think having to talk about more emotional things on the phone is more uncomfortable’. Participants also reported on the impact of teletherapy on their relationships with other group members during the virtual DBT-A skills training group. For some, there was something overwhelming about the experience of seeing multiple faces simultaneously on a video call. P1 remarked, ‘Didn’t like group coz [sic] there were too many people on my screen at once’. P4 highlighted the general ‘lost sense of connection to people’ as well as the specific challenges to developing ordinary social connections with other group members, ‘Haven’t got to know other people… could not talk to others normally (e.g. before and after group) so the social element is missing’.

Subtheme 2 – Loss of skills-building opportunities

Participants described how the shift to virtual therapy hindered skills development. Technical difficulties and feeling self-conscious about how they appeared on the screen caused emotional distress in many who attended DBT-A virtually, negatively impacting their ability to learn DBT-A skills. P4 highlighted how multiple challenges and distractions associated with video calls had negatively affected the effectiveness of sessions and left them frustrated: ‘My wifi at times played up so some sessions were cancelled/postponed due to the fact I couldn’t see or hear anything my therapist was saying. It is not the same as having virtual contact to physical contact. I get a lot more easily distracted on a video call because of everything around me and them not being in front of me physically. When I was really struggling, it did not help having video calls as it just seemed pointless to me’. P5 discussed the distraction of seeing themselves on screen and the time that can be lost resolving technical issues, ‘Sometimes the call cut out, and we had to use mobile, which took time away from the session. Also, being able to see your own face was sometimes stressful as I was constantly aware of what I looked like, which was a bit distracting to the session’. For others, there was something inherently distracting about trying to do virtual therapy in their bedroom. P1 remarked, ‘I feel like I lost skills for to [sic] it, did not find it helpful because I found it hard to focus in my room’. P6 described the difficulty of using DBT resources in a video session without the usual visual aids that would be used in the consulting room, ‘You can’t really see the sheets, for example the chain analysis, and because I’m more of a visual learner it was more difficult to see the patterns of my moods’. Participants also reported the loss of opportunity to build confidence and achievement by attending face-to-face sessions on days they felt distressed. P9 remarked, ‘I also felt less of a sense of accomplishment after having a session as with face-to-face sessions, I could feel good about the fact I was able to get out of bed and out of the house and see and talk to people and travel, which helped me a lot during very depressive episodes, but I couldn’t feel any of that with a video call’. P2 highlighted barriers to feeling and regulating emotions due to having sessions in the home, ‘We associate the DBT groups and one-to-one sessions as the place where we can expel emotion, home often has entirely different connotations’.

Over-arching theme 2 – Feeling uncontained

Many participants described difficulties associated with virtual DBT-A, which diminished the usual boundaries and structures of therapy sessions, leaving them stressed and uncomfortable. Several factors, including privacy, safe therapy space and endings, contributed to this feeling of being uncontained before, during and after sessions.

Subtheme 3 – Limited privacy

Most participants had to conduct their virtual DBT-A sessions in their homes. Participants expressed privacy concerns when engaging in virtual DBT-A sessions. P2 remarked, ‘It’s important to take into account that not everyone may have complete comfort or privacy at home’. P7 shared their worries that parents may hear their conversations with their therapist and how this restricted their ability to communicate freely during their sessions, ‘Felt uncomfortable being so close to parents for the call… I have really struggled with fear of people hearing, and I don’t think it’s good that I have to have therapy in my bedroom, so there’s no divide between my life and my therapy’.

Subtheme 4 – Lack of safe therapy space

For many participants, the physical separation between home and therapy space was crucial; in attempting virtual sessions at home, they felt a lack of safety. P2 described the difficulties of trying to do therapy in a home environment that does not feel safe at times compared with the structures of a therapy clinic, ‘Being able to go to a place separate from home becomes almost a safe place. It’s somewhere you know that people are dedicated to your safety and comfort, which is not always the case at home’. P9 illustrated how an in-person consulting room is superior to a virtual session at home for creating conditions conducive to good engagement, ‘Because I find doing therapy at home difficult when I’m not in the right space of mind and being in a room for therapy in an actual clinic helps me to be in that headspace and makes me more willing to talk about my issues and think of solutions’. For others, losing a segue between therapy and home proved difficult. P7 remarked, ‘I don’t like having to do therapy in my house bc [sic] it feels more stressful as I have to go straight from therapy to then seeing my family rather than having that gap between therapy in the home’. Safety in the skills group also appeared to be affected by virtual service delivery. P4 reported, ‘It feels so abnormal for everyone and it shows, harder to notice when someone is struggling over zoom rather than face to face. People sometimes left when a therapist was screen sharing, and it would not be immediately noticed’.

Subtheme 5 – Difficult endings

Participants shared their emotional challenges in ending virtual therapy sessions and their therapeutic relationship. They emphasised that the commute home helped them regulate their emotions following therapy sessions. However, at home, they had problems managing emotions after virtual sessions. P9 remarked, ‘Trying to manage emotions and urges was a little more difficult as although my therapist was able to help me stay in control and grounded during the session, once the session was over and we had hung up, it was more difficult to keep using those skills when I had no journey home to relax or distract me’. P2 described the distress of having the therapy process end via teletherapy, ‘Ending therapy online is abrupt – which is obviously difficult for people that have trouble processing emotions. Goodbyes tend to be difficult, and I think it’s the worst part of doing DBT online. As people that are so self-destructive it’s rare to have a safe place last so long, and to have it finished in such a mundane way is genuinely painful. It was also unsatisfying finishing the group online’. This subtheme raises the question of whether aspects of virtual DBT may at times exacerbate some of the vulnerabilities that people with emotion dysregulation and related problems might already have, e.g. chronic feelings of abandonment and rejection.

Over-arching theme 3 – Benefits of virtual DBT-A

Participants shared a variety of advantages of attending DBT-A virtually. They described how home-based sessions could be preferable at times, how the virtual medium could improve accessibility, and how online delivery facilitated group interaction.

Subtheme 6 – Home comforts

Participants described how virtual sessions from home could be more comfortable and less distressing. They emphasised the importance of having easy access to self-soothing objects when feeling overwhelmed during sessions. P2 described feeling less self-conscious about using self-soothing items while attending virtual therapy sessions: ‘There was some comfort in being in my own home that meant I had access to stress relievers such as a blanket, paper, and pens, toys etc. that I could easily use to distract me if things became overwhelming, without having the anxiety alongside of what others may think of me using these stress relievers as it was easy to keep it off-camera or even have it on camera without it being brought up or noticed’. The virtual medium felt more relaxed for others, leading to increased engagement. P3 remarked, ‘It was just like meeting in person, but it was better because I didn’t have to leave my room ahah [sic]. It was helpful. I felt more able to talk freely over video calls instead of in-person even though I knew my therapist wouldn’t have judged me either way. It made me more relaxed as I was doing therapy from the comfort of my own home’. In considering this subtheme alongside the previous subtheme, it was interesting to note that the experience of being in the home environment while doing virtual therapy could bring significant pros and cons for participants.

Subtheme 7 – Convenience and accessibility

Participants described other benefits in terms of ease of engagement and attendance. Not travelling to appointments brought advantages to many living far away and even relatively close people. P5 remarked, ‘It’s not a big issue having to meet online, I think it can be easier sometimes (no travel)’. The benefit of attending virtual therapy helped in avoiding longer journeys on public transport. P6 stated, ‘I liked having quick access to speaking to [my therapist] as I would usually have to take trains all the way up to London’. Family sessions are a crucial component of DBT-A. These appointments can be challenging to arrange due to family members’ other commitments and travel requirements. P9 highlighted how virtual family sessions can help address some of these challenges, ‘Group sessions with my family were definitely easier to organise as we weren’t all having to travel from different places because of work or school’. Participants also noted that having virtual sessions could make therapy more accessible on days when the journey would otherwise feel overwhelming. P9 remarked, ‘Video calling was helpful when I would’ve found it difficult or distressing to leave the house’. The online format was conducive to some of the standard DBT-A procedures and resources for many. P4 commented that ‘Worksheets could be virtually sent while in session’. P7 highlighted a more straightforward process for submitting diary cards, ‘Diary cards were easier because I just had to send them in rather than bring them’. This subtheme highlighted how a virtual DBT offering might increase access for adolescents and families, particularly in our programme being a national service. More effective use of DBT resources via the online medium might be more engaging and helpful in reducing TIBs for some.

Subtheme 8 – Easier to participate with others

While some participants reported challenges connecting with therapists and other service users during virtual sessions, they also experienced the virtual platform as manageable and effective, sometimes even preferring it to face-to-face meetings in some respects. P7 remarked, ‘Feels slightly less confrontational’. P2 noted that once they became familiar with the technology, it made virtual meetings more engaging, ‘Sometimes it also felt easier to communicate when asked questions due to our desensitisation of technology. It occasionally became easier to talk to a camera or even talk without looking directly at anyone, somehow having a more effective session as more speaking up happened, particularly for the group.’ P6 commented on video meetings helping their communication when multiple attendees are involved, ‘You can see each other, which I feel you can express your emotions a bit better, makes the conversation flow easier’. It appeared that the virtual medium might also help with more skills group members participating actively in group exercises. P8 remarked, ‘… we were all able to get involved in activities we did’.

Discussion

This study explored the experiences of adolescents participating in a DBT-A programme being delivered virtually, and highlighted some of the benefits and challenges they described.

Regarding ‘sense of loss,’ participants found that switching to virtual therapy presented changes and challenges in relationships, particularly with therapists (although also with peers in the programme), and reduced opportunities to develop and practise skills. They reported various problems linked to virtual DBT about commitment, trust, difficulties talking about and working on emotions, and less group cohesion. Contrary to Stubbing et al.’s (2013) findings that ICBT using video might be as acceptable as face-to-face therapy without compromising the therapeutic alliance, the current study indicated that adolescents with emotion dysregulation and related problems might have additional difficulties establishing rapport and connection with their therapists through virtual DBT. This finding is significant given that the therapeutic relationship is a key mechanism of change associated with improved treatment outcomes for people diagnosed with BPD (Barnicot et al., Reference Barnicot, Katsakou, Bhatti, Savill, Fearns and Priebe2012). The potentially negative impact on participation and interpersonal connection when skills groups are conducted online resonates with Pardo et al.’s (Reference Pardo, Barnier, Mirabent, Lizeaga, Cosgaya, Alcántara, González, Aguirre and Torres2020) finding that the active presence of skills group therapists is key to promoting motivation, engagement and group cohesion, including how they use the room and the resources within it. Developing solutions that promote trust and connection between therapists and adolescents in virtual DBT-A may be crucial for dealing with problems arising from online working.

Behavioural rehearsal in DBT sessions is considered an essential therapeutic process in addressing the core deficits relating to emotion dysregulation and strengthening skills (Heard and Swales, Reference Heard and Swales2016). The loss of skills-building opportunities reported by participants highlights potential challenges in adhering to the skills acquisition function of DBT-A.

Regarding ‘feeling uncontained,’ our adolescent participants highlighted a range of challenges of virtual DBT-A as the usual structure and boundaries of face-to-face therapy were altered, mirroring findings of virtual DBT in Zalewski et al.’s study focusing on clinicians’ experiences (Zalewski et al., Reference Zalewski, Walton, Rizvi, White, Martin, O’Brien and Dimeff2021). Difficulties navigating online endings (of both sessions and the therapy itself), restricted privacy, and a lack of safe therapeutic space, were reported as contributing factors to feeling uncontained.

The concept of therapist ‘containment’ and the related concept of ‘holding’ have been drawn on in a variety of psychotherapeutic traditions (Lanman,Reference Lanman1998), speaking to the integral role of the therapists’ active behaviour in creating a safe space in which clients can explore, experience, tolerate and respond more effectively to problematic emotions, including navigating the recurring presence and absence of the therapist through the therapy process. ‘Non-specific’ treatment factors, such as therapeutic alliance and therapist adherence to the specific treatment modality, have long been recognised as contributing significantly to treatment outcome and may account for more of the variance in the outcome than specific treatment approach (Chatoor and Krupnick, Reference Chatoor and Krupnick2001). Participants in the current study reported that without the physical presence of their therapist in a dedicated therapy room, along with the lack of privacy at home, they felt more uncomfortable, less connected to their therapist, and less able to engage in the therapy process. Additionally, the abrupt and remote nature of session and therapy endings in online DBT may be challenging for adolescents, especially in light of the struggles with relationships (including feelings of abandonment and rejection) that many experience (Hawton et al., Reference Hawton, Saunders and O’Connor2012).

Regarding the ‘benefits of virtual DBT-A,’ participants discussed ways in which virtual therapy could offer opportunities to access soothing/comforting aspects of the home environment, easier access to their sessions (not having to travel), increased convenience when organising family sessions, and using electronic resources for DBT session activities. The issue of increased accessibility seems particularly important to us given that our national service previously often required participants to travel at least 60 minutes, and sometimes even more, to attend appointments. Reductions in the need for long journeys may significantly increase service users’ access and engagement in treatment.

Strengths and limitations

This paper is the first to explore adolescent service users’ perspectives of virtual DBT-A and highlights some of the challenges and benefits they experienced. Previous research in this emerging area has described clinicians’ difficulties in delivering adherent DBT for adults online (Zalewski et al., Reference Zalewski, Walton, Rizvi, White, Martin, O’Brien and Dimeff2021). The current study is the first to explore the relational and emotional challenges faced by adolescents in virtual DBT-A and their experience of the benefits of engaging in this therapy online. As virtual therapy will probably become an increasingly common part of mental healthcare delivery in the future, this study offers some recommendations to help clinicians anticipate and address the challenges adolescents may experience in online DBT-A while maintaining fidelity to the evidence-based model (see ‘Key practice points’ below). Based on these findings, our service has already applied these approaches, and clinicians have anecdotally indicated that these have generally been useful to follow when conducting DBT virtually with adolescents.

This study also has several limitations. Despite our rationale and efforts to make participation more accessible and manageable, some individuals’ responses remained limited within the online survey format. The multiple online demands on adolescents at the time (i.e. virtual school sessions) could have led to ‘screen fatigue’, as excessive screen time has been linked to poor psychological outcomes in adolescents (Oswald et al., Reference Oswald, Rumbold, Kedzior and Moore2020). In a time-limited academic project, the number of participants was less than would normally be recommended for this data collection method (Clarke and Braun, Reference Clarke and Braun2013). Although data saturation (Glaser and Strauss, Reference Glaser and Strauss2017) may not have been reached, the number of participants and the richness of data may not always be predicted in advance (Malterud et al., Reference Malterud, Siersma and Guassora2016; Morse, Reference Morse2000). In qualitative research, the concept of saturation as the ‘gold standard’ of data quality has been critiqued (Braun and Clarke, Reference Braun and Clarke2022; Malterud et al., Reference Malterud, Siersma and Guassora2016). While the current study would have benefited from a larger number of participants, we contend that it nevertheless had some positive attributes in terms of ‘information power’ (Malterud et al., Reference Malterud, Siersma and Guassora2016). For example, the aim was specific (exploring the experiences of adolescents with emotion dysregulation-related problems of DBT-A delivered virtually). The participants held characteristics that were highly specific to that aim. A high response rate was achieved within the sample invited to participate (43% of eligible adolescents within the service at the time took part), and the expert-by-experience was consulted in designing the survey questions. We note that there may have been other important experiences of adolescents participating in virtual DBT-A that were not captured in the data and are therefore not represented by the themes generated. As with all qualitative research, interpretation of participants’ responses can be influenced by researcher assumptions and expectations, which may lead to bias within the analysis.

Clinical implications, future directions, and conclusions

The present study is an important reminder of establishing rapport and relationship-building with emotionally dysregulated adolescents in virtual therapy, especially if online treatment combined with specific client vulnerabilities potentially renders that more difficult. Adolescent services delivering virtual DBT-A could also support and encourage service users to use larger screen devices wherever possible, promoting more effective monitoring and responses to emotional distress, therapeutic connection, and use of in-session resources and activities.

Safety and privacy seem especially important for online DBT-A conducted at home. Services could support service users in actively identifying the most suitable locations for virtual sessions. Various places, such as schools, health or local authority facilities, could be considered, or possibly less busy homes. As managing the urge to engage in high-risk behaviours is often a primary focus in DBT-A, thorough risk assessment and safety planning are paramount. Similar to Szlyk et al.’s (Reference Szlyk, Berk, Peralta and Miranda2020) recommendations regarding telehealth services, clinicians could consider developing collaborative ‘cope ahead plans’ for managing difficult emotions and risk urges that may arise during or after virtual sessions and service procedures for adolescents who leave online therapy sessions unexpectedly.

Due consideration should be given to the ending of therapy sessions and the ending of treatment as a whole when conducting DBT-A virtually, as it may complicate and intensify the emotional challenges associated with these processes. Proactive, open conversations about the difficulties of endings and collaboratively planning for skills used at such times could all be considered. Clinicians and adolescents can also explore ways to make final sessions more distinct and meaningful when therapy has been conducted online (Gilbert and Leahy, Reference Gilbert and Leahy2009).

In virtual DBT skills groups, facilitators could consider ways to increase positive connections among group participants and their engagement with group activities. Similar to recommendations made by Zalewski et al.’s study (2021) about clinicians working with adults, DBT-A group facilitators could also use the video conference platform’s functionality creatively, for example, by making the virtual room available early and during breaks to allow time for informal conversation, employing the chat function for shaping up participation, use of break-out rooms for smaller group activities, polling features for quizzes, etc.

Future research could build on the findings of the current study by exploring other key stakeholders’ experiences in delivering virtual DBT-A, including parents, carers and DBT-A therapists. To determine whether the model’s reported effectiveness extends to virtual adaptations, quantitative evaluations of outcomes for adolescents completing virtual DBT-A are essential.

While DBT-A in traditional face-to-face settings is developing an encouraging evidence base (Bhaji et al., Reference Bahji, Pierce, Wong, Roberge, Ortega and Patten2021), it is important to consider how best to adapt service provision to maintain treatment adherence and effectiveness when working virtually (Hadjistavropoulos et al., Reference Hadjistavropoulos, Nugent, Dirkse and Pugh2017). The continuing endeavour to demonstrate the acceptability and efficacy of virtual DBT-A requires more developed, evidence-based clinical recommendations informed by clinicians, researchers and service users.

Key practice points

  1. (1) Services could discuss the pros and cons of virtual therapy with adolescents and facilitate choice around options wherever possible.

  2. (2) Clinicians could prioritise rapport and relationship-building with adolescents during virtual therapy.

  3. (3) When in-person sessions are not possible and virtual sessions at home are not viable, services and adolescents’ wider support networks could support them to find a suitable and private alternative locations.

  4. (4) Skills group facilitators could consider increasing service users’ social connection opportunities during groups and enhancing engagement around skills learning and practice in a virtual setting.

  5. (5) Clinicians could explore different ways with adolescents to help them manage virtual session endings skillfully and make the end of the virtual therapy process meaningful and distinct.

Supplementary material

To view supplementary material for this article, please visit: https://doi.org/10.1017/S1754470X22000460

Data availability statement

The data that support the findings of this study are available on request from the corresponding author, N.R. The data are not publicly available due to privacy/ethical restrictions.

Acknowledgements

The authors wish to thank the participants for their involvement and valuable contribution to the study, the expert-by-experience who provided important feedback on the survey design, and the National and Specialist CAMHS DBT Service clinicians and administrative staff for all their support and assistance throughout the study.

Author contributions

The first author designed and implemented the research, including data collection and analysis, and took the lead in writing the manuscript. The second and third authors guided and monitored the research process, confirmed the data interpretation, themes generated and verified the research findings. All authors contributed to the review and revision of the manuscript and approved the final version for publication.

Natasha Ramzan: Data curation (lead), Formal analysis (lead), Methodology (equal), Project administration (equal), Resources (lead), Writing – original draft (lead), Writing – review & editing (equal); Rebecca Dixey: Data curation (supporting), Formal analysis (supporting), Methodology (supporting), Supervision (lead), Writing – review & editing (supporting); Andre Morris: Data curation (supporting), Methodology (supporting), Supervision (lead), Writing – review & editing (equal).

Financial support

This research received no specific grant from any funding agency, commercial or not-for-profit-sectors.

Conflicts of interest

The authors declare none.

Ethical standards

Authors have abided by the Ethical Principles of Psychologists and Code of Conduct set out by the BABCP and BPS. In line with this, approval was sought and approved by the Clinical Governance Audit Committee at South London and Maudsley NHS Foundation Trust.

References

Further reading

Dixon-Woods, M., Jones, P., Scott, D., Liberati, E., Martin, G., Willars, J., … & Parker, J. (2021). Remote care for mental health: qualitative study with service users, carers, and staff during the COVID-19 pandemic. BMJ Open, 11.Google Scholar
Johnson, S., Dalton-Locke, C., Vera San Juan, N., Foye, U., Oram, S., Papamichail, A., Landau, S., Rowan Olive, R., Jeynes, T., Shah, P., Sheridan Rains, L., Lloyd-Evans, B., Carr, S., Killaspy, H., Gillard, S., & Simpson, A. (2021). Impact on mental health care and on mental health service users of the COVID-19 pandemic: a mixed methods survey of UK mental health care staff. Social Psychiatry and Psychiatric Epidemiology, 56, 2537. https://doi.org/10.1007/s00127-020-01927-4 CrossRefGoogle ScholarPubMed
Ougrin, D., Wong, B. H.-C., Vaezinejad, M., Plener, P. L., Mehdi, T., Romaniuk, L., Barrett, E., Hussain, H., Lloyd, A., Tolmac, J., Rao, M., Chakrabarti, S., Carucci, S., Moghraby, O. S., Elvins, R., Rozali, F., Skouta, E., McNicholas, F., Kuruppuaracchi, N., … & Landau, S. (2021). Pandemic-related emergency psychiatric presentations for self-harm of children and adolescents in 10 countries (PREP-kids): a retrospective international cohort study. European Child & Adolescent Psychiatry. https://doi.org/10.1007/s00787-021-01741-6 CrossRefGoogle Scholar
Zalewski, M., Walton, C. J., Rizvi, S. L., White, A. W., Martin, C. G., O’Brien, J. R., & Dimeff, L. (2021). Lessons learned conducting dialectical behavior therapy via telehealth in the age of COVID-19. Cognitive and Behavioral Practice. CrossRefGoogle Scholar

References

American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders (5th edn). Washington, DC.Google Scholar
Andersson, E., Enander, J., Andrén, P., Hedman, E., Ljótsson, B., Hursti, T., Bergström, J., Kaldo, V., Lindefors, N., Andersson, G., & Rück, C. (2012). Internet-based cognitive behaviour therapy for obsessive-compulsive disorder: a randomized controlled trial. Psychological Medicine, 42, 21932203. https://doi.org/10.1017/S0033291712000244 CrossRefGoogle ScholarPubMed
Andersson, G. (2009). Using the internet to provide cognitive behaviour therapy. Behaviour Research and Therapy, 47, 175180. https://doi.org/10.1016/j.brat.2009.01.010 CrossRefGoogle ScholarPubMed
Andersson, G., & Titov, N. (2014). Advantages and limitations of Internet-based interventions for common mental disorders. World Psychiatry, 13, 411.CrossRefGoogle ScholarPubMed
Arnberg, F. K., Linton, S. J., Hultcrantz, M., Heintz, E., & Jonsson, U. (2014). Internet-delivered psychological treatments for mood and anxiety disorders: a systematic review of their efficacy, safety, and cost-effectiveness. PLoS One, 9, e98118. doi: 10.1371/journal.pone.0098118 CrossRefGoogle Scholar
Bahji, A., Pierce, M., Wong, J., Roberge, J. N., Ortega, I., & Patten, S. (2021). Comparative efficacy and acceptability of psychotherapies for self-harm and suicidal behavior among children and adolescents: a systematic review and network meta-analysis. JAMA Network Open, 4, e216614e216614. https://doi.org/10.1001/jamanetworkopen.2021.6614 CrossRefGoogle ScholarPubMed
Bahji, A., Pierce, M., Wong, J., Roberge, J. N., Ortega, I., & Patten, S. 2021. Comparative efficacy and acceptability of psychotherapies for self-harm and suicidal behavior among children and adolescents: A systematic review and network meta-analysis. JAMA Netw Open, 4(4), e216614. https://doi.org/10.1001/jamanetworkopen.2021.6614 CrossRefGoogle ScholarPubMed
Barnicot, K., Katsakou, C., Bhatti, N., Savill, M., Fearns, N., & Priebe, S. (2012). Factors predicting the outcome of psychotherapy for borderline personality disorder: a systematic review. Clinical Psychology Review, 32, 400412. https://doi.org/10.1016/j.cpr.2012.04.004 CrossRefGoogle ScholarPubMed
Bemporad, J. R., Smith, H. F., Hanson, G., & Cicchetti, D. (1982). Borderline syndromes in childhood: criteria for diagnosis. American Journal of Psychiatry, 139, 596602.Google ScholarPubMed
Bergström, J., Andersson, G., Ljótsson, B., Rück, C., Andréewitch, S., Karlsson, A., Carlbring, P., Andersson, E., & Lindefors, N. (2010). Internet-versus group-administered cognitive behaviour therapy for panic disorder in a psychiatric setting: a randomised trial. BMC Psychiatry, 10, 54. https://doi.org/10.1186/1471-244X-10-54 CrossRefGoogle Scholar
Berry, N., Bucci, S., & Lobban, F. (2017). Use of the internet and mobile phones for self-management of severe mental health problems: qualitative study of staff views. JMIR Mental Health, 4, e52. https://doi.org/10.2196/mental.8311 CrossRefGoogle ScholarPubMed
Bleiberg, E. (1994). Borderline disorders in children and adolescents: the concept, the diagnosis, and the controversies. Bulletin of the Menninger Clinic, 58, 169.Google ScholarPubMed
Bondurant, H., Greenfield, B., & Tse, S. M. (2004). Construct validity of the adolescent borderline personality disorder: a review. Canadian Child and Adolescent Psychiatry Review, 13, 53.Google ScholarPubMed
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77101. https://doi.org/10.1191/1478088706qp063oa CrossRefGoogle Scholar
Braun, V., & Clarke, V. (2021). Can I use TA? Should I use TA? Should I not use TA? Comparing reflexive thematic analysis and other pattern-based qualitative analytic approaches. Counselling Psychotherapy Research, 21, 3747. https://doi.org/10.1002/capr.12360 CrossRefGoogle Scholar
Braun, V., & Clarke, V. (2022). Thematic Analysis: A Practical Guide. SAGE.Google Scholar
Castillo, H., & Mind, C. (2003). A dangerous diagnosis. Mental Health Today, 2730.Google Scholar
Chanen, A. M., Jovev, M., Djaja, D., McDougall, E., Yuen, H. P., Rawlings, D., & Jackson, H. J. (2008). Screening for borderline personality disorder in outpatient youth. Journal of Personality Disorders, 22, 353364.CrossRefGoogle ScholarPubMed
Chatoor, I., & Krupnick, J. (2001). The role of non-specific factors in treatment outcome of psychotherapy studies. European Child & Adolescent Psychiatry, 10, I19I25. https://doi.org/10.1007/s007870170004 CrossRefGoogle ScholarPubMed
Clarke, V., & Braun, V. (2013). Successful Qualitative Research. SAGE Publications.Google Scholar
Dixon, L. J., & Linardon, J. (2020). A systematic review and meta-analysis of dropout rates from dialectical behaviour therapy in randomized controlled trials. Cognitive Behaviour Therapy, 49, 181196. https://doi.org/10.1080/16506073.2019.1620324 CrossRefGoogle ScholarPubMed
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M., & Christensen, H. (2013). Smartphones for smarter delivery of mental health programs: a systematic review. Journal of Medical Internet Research, 15, E247.CrossRefGoogle ScholarPubMed
First, M. B., Gibbon, M., Spitzer, R. L., Williams, J. B. W., & Benjamin, L. S. (1997). Structured clinical interview for DSM-IV Axis II Personality disorders (SCID-II). Washington, DC: American Psychiatric Press, Inc.Google Scholar
Gilbert, P., & Leahy, R. L. (2009). The Therapeutic Relationship in the Cognitive Behavioral Psychotherapies. Routledge.Google Scholar
Glaser, B. G., & Strauss, A. L. (2017). The Discovery of Grounded Theory: Strategies for Qualitative Research. Routledge.CrossRefGoogle Scholar
Gros, D. F., Morland, L. A., Greene, C. J., Acierno, R., Strachan, M., Egede, L. E., … & Frueh, B. C. (2013). Delivery of evidence-based psychotherapy via video telehealth. Journal of Psychopathology and Behavioral Assessment, 35, 506521.CrossRefGoogle Scholar
Gruber, J., Prinstein, M. J., Clark, L. A., Rottenberg, J., Abramowitz, J. S., Albano, A. M., Aldao, A., Borelli, J. L., Chung, T., Davila, J., Forbes, E. E., Gee, D. G., Hall, G. C. N., Hallion, L. S., Hinshaw, S. P., Hofmann, S. G., Hollon, S. D., Joormann, J., Kazdin, A. E., … & Weinstock, L. M. (2020). Mental health and clinical psychological science in the time of COVID19: challenges, opportunities, and a call to action. The American Psychologist, 76, 409426. https://doi.org/10.1037/amp0000707 CrossRefGoogle Scholar
Hadjistavropoulos, H. D., Nugent, M. M., Dirkse, D., & Pugh, N. (2017). Implementation of internet-delivered cognitive behavior therapy within community mental health clinics: a process evaluation using the consolidated framework for implementation research. BMC Psychiatry, 17, 115.CrossRefGoogle ScholarPubMed
Hawton, K., & Harris, L. (2007). Deliberate self-harm in young people: characteristics and subsequent morality in a 20-year cohort of patients presenting to hospital. Journal of Clinical Psychiatry, 68, 15741583.CrossRefGoogle Scholar
Hawton, K., Saunders, K., & O’Connor, R. (2012). Self-harm and suicide in adolescents. The Lancet, 379, 23732382.CrossRefGoogle ScholarPubMed
Heard, H., & Swales, M. (2016). Changing Behaviour in DBT. Guilford Press.Google Scholar
Hedman, E., Andersson, E., Andersson, G., Lindefors, N., Lekander, M., Rück, C., & Ljótsson, B. (2013). Mediators in internet-based cognitive behavior therapy for severe health anxiety. PloS One, 8, e77752. https://doi.org/10.1371/journal.pone.0077752 CrossRefGoogle ScholarPubMed
Hedman, E., Ljótsson, B., & Lindefors, N. (2012). Cognitive behavior therapy via the internet: a systematic review of applications, clinical efficacy and cost-effectiveness. Expert Review of Pharmacoeconomics & Outcomes Research, 12, 745764.CrossRefGoogle ScholarPubMed
Kliem, S., Kröger, C., & Kosfelder, J. (2010). Dialectical behavior therapy for borderline personality disorder: a meta-analysis using mixed-effects modeling. Journal of Consulting and Clinical Psychology, 78, 936951. https://doi.org/10.1037/a0021015 CrossRefGoogle ScholarPubMed
Koerner, K., Dimeff, L. A., & Swenson, C. R. (2007). Adopt or adapt?: tidelity matters. In Dimeff, L. A. & Koerner, K. (eds), Dialectical Behavior Therapy in Clinical Practice: Applications Across Disorders and Settings (pp. 1936). Guilford Press.Google Scholar
Kothgassner, O. D., Goreis, A., Robinson, K., Huscsava, M. M., Schmahl, C., & Plener, P. L. (2021). Efficacy of dialectical behavior therapy for adolescent self-harm and suicidal ideation: a systematic review and meta-analysis. Psychological Medicine, 111.Google ScholarPubMed
Lanman, M. (1998). The human container: containment as an active process. Psychodynamic Counselling, 4, 463472. https://doi.org/10.1080/13533339808402523 CrossRefGoogle Scholar
Lenhard, F., Vigerland, S., Engberg, H., Hallberg, A., Thermaenius, H., & Serlachius, E. (2016). ‘On my own, but not alone’ - adolescents’ experiences of internet-delivered cognitive behavior therapy for obsessive-compulsive disorder. PloS One, 11, e0164311. https://doi.org/10.1371/journal.pone.0164311 CrossRefGoogle ScholarPubMed
Linehan, M., Korslund, K., Harned, M., Gallop, R., Lungu, A., Neacsiu, A., … & Murray-Gregory, A. (2015). dialectical behavior therapy for high suicide risk in individuals with borderline personality disorder: a randomized clinical trial and component analysis. JAMA Psychiatry, 72, 47547582.CrossRefGoogle ScholarPubMed
Linehan, M. M. (1993). Skills Training Manual for Treating Borderline Personality Disorder. Guilford Press.Google Scholar
Malterud, K., Siersma, V. D., & Guassora, A. D. (2016). Sample size in qualitative interview studies: guided by information power. Qualitative Health Research, 26, 17531760. https://doi.org/10.1177/1049732315617444 CrossRefGoogle ScholarPubMed
Matsumoto, K., Sutoh, C., Asano, K., Seki, Y., Urao, Y., Yokoo, M., … & Nagata, S. (2018). Internet-based cognitive behavioral therapy with real-time therapist support via videoconference for patients with obsessive-compulsive disorder, panic disorder, and social anxiety disorder: pilot single-arm trial. Journal of Medical Internet Research, 20, e12091.CrossRefGoogle ScholarPubMed
McBride, C. M., Morrissey, E. C., & Molloy, G. J. (2020). Patients’ experiences of using smartphone apps to support self-management and improve medication adherence in hypertension: qualitative study. JMIR mHealth and uHealth, 8, e17470.CrossRefGoogle ScholarPubMed
McCauley, E., Berk, M., Asarnow, J., Adrian, M., Cohen, J., Korslund, K., … Linehan, M. (2018). Efficacy of dialectical behavior therapy for adolescents at high risk for suicide: a randomized clinical trial. JAMA Psychiatry, 75, 777785.CrossRefGoogle ScholarPubMed
McMain, S. F., Links, P. S., Gnam, W. H., Guimond, T., Cardish, R. J., Kormann, L., & Streiner, D. L. (2009). A randomized trial of dialectical behavior therapy versus general psychiatric management for borderline personality disorder. American Journal of Psychiatry, 166, 13651374.CrossRefGoogle ScholarPubMed
Mehlum, L., Tørmoen, A. J., Ramberg, M., Haga, E., Diep, L. M., Laberg, S., … & Grøholt, B. (2014). Dialectical behavior therapy for adolescents with repeated suicidal and self-harming behavior: a randomized trial. Journal of the American Academy of Child & Adolescent Psychiatry, 53, 10821091.CrossRefGoogle ScholarPubMed
Miller, A. L., Muehlenkamp, J. J., & Jacobson, C. M. (2008). Fact or fiction: diagnosing borderline personality disorder in adolescents. Clinical Psychology Review, 28, 969981.CrossRefGoogle ScholarPubMed
Miller, A. L., Rathus, J. H., & Linehan, M. M. (2007). Dialectical Behavior Therapy with Suicidal Adolescents. Guilford Press.Google Scholar
Morse, J. M. (2000). Determining sample size. Qualitative Health Research, 10, 35. https://doi.org/10.1177/104973200129118183 CrossRefGoogle Scholar
National Institute for Health and Care Excellence (2022). Self-Harm: Assessment, Management and Preventing Recurrence [NICE Guideline NG 225]. https://www.nice.org.uk/guidance/qs34/chapter/quality-statement-7-psychological-interventions Google Scholar
Office for National Statistics (2019). Suicides in the UK: 2018 registration. Available at: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/suicidesintheunitedkingdom/2018registrations (accessed 5 May 2020).Google Scholar
Oswald, T. K., Rumbold, A. R., Kedzior, S. G. E., & Moore, V. M. (2020). Psychological impacts of ‘screen time’ and ‘green time’ for children and adolescents: a systematic scoping review. PloS One, 15, e0237725e0237725. https://doi.org/10.1371/journal.pone.0237725 CrossRefGoogle Scholar
Ougrin, D., Wong, B. H.-C., Vaezinejad, M., Plener, P. L., Mehdi, T., Romaniuk, L., Barrett, E., Hussain, H., Lloyd, A., Tolmac, J., Rao, M., Chakrabarti, S., Carucci, S., Moghraby, O. S., Elvins, R., Rozali, F., Skouta, E., McNicholas, F., Kuruppuaracchi, N., … & Landau, S. (2021). Pandemic-related emergency psychiatric presentations for self-harm of children and adolescents in 10 countries (PREP-kids): a retrospective international cohort study. European Child & Adolescent Psychiatry. https://doi.org/10.1007/s00787-021-01741-6 CrossRefGoogle Scholar
Panos, P. T., Jackson, J. W., Hasan, O., & Panos, A. (2014). Meta-analysis and systematic review assessing the efficacy of dialectical behavior therapy (DBT). Research on Social Work Practice, 24, 213223.CrossRefGoogle Scholar
Pardo, Rivas, A. F., Barnier, P. O., Mirabent, M. B., Lizeaga, I. K., Cosgaya, A. D., Alcántara, A. C., González, E. V., Aguirre, B., & Torres, M. A. G. (2020). A qualitative research of adolescents with behavioral problems about their experience in a dialectical behavior therapy skills training group. BMC Psychiatry, 20, 245245. https://doi.org/10.1186/s12888-020-02649-2 CrossRefGoogle Scholar
Rathus, J., & Miller, A. (2002). dialectical behavior therapy adapted for suicidal adolescents. Suicide and Life-Threatening Behavior, 32, 146157.CrossRefGoogle ScholarPubMed
Rizvi, S. L., Dimeff, L. A., Skutch, J., Carroll, D., & Linehan, M. M. (2011). A pilot study of the DBT coach: an interactive mobile phone application for individuals with borderline personality disorder and substance use disorder. Behavior Therapy, 42, 589600. http://dx.doi.org/10.1016/j.beth.2011.01.003 CrossRefGoogle ScholarPubMed
Rizvi, S., L., Hughes, D., C., & Thomas, C. M. (2016). The DBT coach mobile application as an adjunct to treatment for suicidal and self-injuring individuals with borderline personality disorder: a preliminary evaluation and challenges to client utilization. Psychological Services, 13, 380388.CrossRefGoogle ScholarPubMed
Rogers, J. P., Chesney, E., Oliver, D., Pollak, T. A., McGuire, P., Fusar-Poli, P., Zandi, M. S., Lewis, G., & David, A. S. (2020). Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: a systematic review and meta-analysis with comparison to the COVID-19 pandemic. The Lancet. Psychiatry, 7, 611627. https://doi.org/10.1016/S2215-0366(20)30203-0 CrossRefGoogle ScholarPubMed
Santamarina-Perez, P., Mendez, I., Singh, M. K., Berk, M., Picado, M., Font, E., … & Romero, S. (2020). Adapted dialectical behavior therapy for adolescents with a high risk of suicide in a community clinic: a pragmatic randomized controlled trial. Suicide and Life-Threatening Behavior, 50, 652667.CrossRefGoogle Scholar
Schroeder, J., Wilks, C., Rowan, K., Toledo, A., Paradiso, A., … & Linehan, M. (2018). Pocket Skills: a conversational mobile web app to support dialectical behavioral therapy. doi: 10.1145/3173574.3173972.CrossRefGoogle Scholar
Sijbrandij, M., Kunovski, I., & Cuijpers, P. (2016). Effectiveness of internet-delivered cognitive behavioral therapy for posttraumatic stress disorder: a systematic review and meta-analysis. Depression and Anxiety, 33, 783791.CrossRefGoogle ScholarPubMed
Smith, P., Scott, R., Eshkevari, E., Jatta, F., Leigh, E., Harris, V., Robinson, A., Abeles, P., Proudfoot, J., Verduyn, C., & Yule, W. (2015). Computerised CBT for depressed adolescents: randomised controlled trial. Behaviour Research and Therapy, 73, 104110. https://doi.org/10.1016/j.brat.2015.07.009 CrossRefGoogle ScholarPubMed
Spence, S. H, Donovan, C. L, March, S., Gamble, A., Anderson, R. E., Prosser, S., & Kenardy, J. (2011). A randomized controlled trial of online versus clinic-based CBT for adolescent anxiety. Journal of Consulting and Clinical Psychology, 79, 629642.CrossRefGoogle ScholarPubMed
Storch, E. A., Caporino, N. E., Morgan, J. R., Lewin, A. B., Rojas, A., Brauer, L., … & Murphy, T. K. (2011). Preliminary investigation of web-camera delivered cognitive-behavioral therapy for youth with obsessive-compulsive disorder. Psychiatry Research, 189, 407412.CrossRefGoogle ScholarPubMed
Stubbings, D. R., Rees, C. S., Roberts, L. D., & Kane, R. T. (2013). Comparing in-person to videoconference-based cognitive behavioral therapy for mood and anxiety disorders: randomized controlled trial. Journal of Medical Internet Research, 15, e258.CrossRefGoogle ScholarPubMed
Szlyk, H. S., Berk, M., Peralta, A. O., & Miranda, R. (2020). COVID-19 takes adolescent suicide prevention to less charted territory. Journal of Adolescent Health, 67, 161163. https://doi.org/10.1016/j.jadohealth.2020.05.046 CrossRefGoogle ScholarPubMed
Westen, D., Shedler, J., Durrett, C., Glass, S., & Martens, A. (2003). Personality diagnoses in adolescence: DSM-IV axis II diagnoses and an empirically derived alternative. American Journal of Psychiatry, 160, 952966.CrossRefGoogle Scholar
Wilks, R., C., Lungu, A., Ang, Y., S., Matsumiya, B., Yin, Q., & Linehan, M. M. (2018). A randomized controlled trial of an internet delivered dialectical behavior therapy skills training for suicidal and heavy episodic drinkers. Journal of Affective Disorders, 232, 219228.CrossRefGoogle ScholarPubMed
Willig, & Stainton Rogers, W. (2017). The SAGE Handbook of Qualitative Research in Psychology. London, UK: SAGE Publications.Google Scholar
World Health Organization (2019). ICD-11: International classification of diseases (11th revision). Retrieved from: https://icd.who.int/ Google Scholar
World Health Organization (2020). Suicide. Retrieved from: https://www.who.int/news-room/fact-sheets/detail/suicide Google Scholar
Zalewski, M., Walton, C. J., Rizvi, S. L., White, A. W., Martin, C. G., O’Brien, J. R., & Dimeff, L. (2021). Lessons learned conducting dialectical behavior therapy via telehealth in the age of COVID-19. Cognitive and Behavioral Practice, 28, 573587.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Participant demographics

Figure 1

Table 2. The three over-arching themes (and eight key subthemes) describing adolescents’ experience of virtual DBT-A

Supplementary material: File

Ramzan et al. supplementary material

Ramzan et al. supplementary material

Download Ramzan et al. supplementary material(File)
File 14.2 KB
Submit a response

Comments

No Comments have been published for this article.