Introduction
Suicidal and non-suicidal self-injury (NSSI) in adolescent populations is a growing issue and is significantly associated with death by suicide (Bould et al., Reference Bould, Mars, Moran, Biddle and Gunnell2019; Cheung et al., Reference Cheung, McKeown, Schneider and Shah2020; Geulayov et al., Reference Geulayov, Casey, McDonald, Foster, Pritchard, Wells, Clements, Kapur, Ness, Waters and Hawton2018; Hawton et al., Reference Hawton, Bale, Brand, Townsend, Ness, Waters, Clements, Kapur and Geulayov2020; Heron, Reference Heron2018; McManus et al., Reference McManus, Gunnell, Cooper, Bebbington, Howard, Brugha, Jenkins, Hassiotis, Weich and Appleby2019). Sexuality and gender minoritised (SGM) adolescents are three times more likely to engage in self-injurious behaviours and 1.5 to 7 times more likely to experience suicidal thoughts and attempt suicide compared with cisgender and heterosexual young people (Butler et al., Reference Butler, Joiner, Bradley, Bowles, Bowes, Russell and Roberts2019; Haas et al., Reference Haas, Eliason, Mays, Mathy, Cochran, D’Augelli, Silverman, Fisher, Hughes, Rosario, Russell, Malley, Reed, Litts, Haller, Sell, Remafedi, Bradford, Beautrais and Clayton2011; Kapatais et al., Reference Kapatais, Williams and Townsend2022; King et al., Reference King, Semlyen, Tai, Killaspy, Osborn, Popelyuk and Nazareth2008; Liu et al., Reference Liu, Stevens, Wong, Yasui and Chen2019; Raifman et al., Reference Raifman, Charlton, Arrington-Sanders, Chan, Rusley, Mayer, Stein, Austin and McConnell2020). Sexual minorities are broadly defined as those who experience sexual and/or romantic attractions congruent with, or identify as, lesbian, gay, bisexual, pansexual, asexual, queer, and other minoritised orientations. Gender minorities are defined as those whose gender identity is different from their sex assigned at birth (transgender), is outside of the traditional gender binary (non-binary), and other gender-diverse groups.
The higher prevalence of suicidal and NSSI in SGM adolescents is congruent with a higher prevalence of associated mental health difficulties, including emerging symptoms of borderline personality disorder (BPD), depression, and anxiety disorders (Liu et al., Reference Liu, Stevens, Wong, Yasui and Chen2019; Rodriguez-Seijas et al., Reference Rodriguez-Seijas, Morgan and Zimmerman2021; Ross et al., Reference Ross, Salway, Tarasoff, MacKay, Hawkins and Fehr2018; Russell and Fish, Reference Russell and Fish2016). Mental health disparities in SGM populations are thought to be explained by exposure to prejudice, discrimination, and victimisation associated with their minoritised identity in societies that privilege cisgender (i.e. gender is broadly the same as sex assigned at birth) and heterosexual norms, and that invalidate SGM culture (i.e. cis-heteronormativity and cis-heterosexism; Batchmann and Gooch, Reference Batchmann and Gooch2017; Hendricks and Testa, Reference Hendricks and Testa2012; Hubbard, Reference Hubbard2021; Meyer, Reference Meyer2003). Minority stress theory suggests that the additional minority-related stressors, alongside everyday stressors, cause an accumulation of stress such that it overwhelms typical resilience and coping mechanisms for individuals (Hendricks and Testa, Reference Hendricks and Testa2012; Meyer, Reference Meyer2003). Building on minority stress theory, the psychological mediation framework suggests that the mechanisms by which these stressors mediate mental health outcomes include increased likelihood of psychological processes typically implicated in mental health difficulties, such as emotion dysregulation (Hatzenbuehler, Reference Hatzenbuehler2009), which are also shown to be elevated in SGM populations (Kapatais et al., Reference Kapatais, Williams and Townsend2022).
Despite the increased mental health needs of SGM youth, these groups are shown to experience significant barriers to accessing health care (Dunbar et al., Reference Dunbar, Sontag-Padilla, Ramchand, Seelam and Stein2017; McDermott, Reference McDermott2016; McDermott et al., Reference McDermott, Hughes and Rawlings2018; Williams and Chapman, Reference Williams and Chapman2011). Moreover, certain SGM groups report poor experiences in services (Beard et al., Reference Beard, Kirakosian, Silverman, Winer, Wadsworth and Björgvinsson2017; Hubbard, Reference Hubbard2021; Rimes et al., Reference Rimes, Goodship, Ussher, Baker and West2019; Williams and Chapman, Reference Williams and Chapman2011). Reviews of the literature suggest that SGM youth may experience poor quality of care due to clinician-held stigma and lack of awareness of the unique needs of this population, as well as from a fear of being judged or accidently ‘outed’ to others (Hafeez et al., Reference Hafeez, Zeshan, Tahir, Jahan and Naveed2017; Pattinson et al., Reference Pattinson, McDermott, Eastham, Hughes, Johnson, Davis, Pryjmachuk, Jenzen and Mateus2021). This may also be impacted by the lack of SGM-specific mental health service provision and the over-reliance on the charitable sector to provide this support, which may be more vulnerable to volatility in funding and resource (Pattinson et al., Reference Pattinson, McDermott, Eastham, Hughes, Johnson, Davis, Pryjmachuk, Jenzen and Mateus2021). Very few effectiveness and efficacy studies collect data or stratify samples by sexual orientation and gender identity, and routine clinical services rarely report such comparative outcomes, therefore little is currently known about the effectiveness of interventions for SGM groups (Harned et al., Reference Harned, Coyle and Garcia2022; Pachankis, Reference Pachankis2018).
Dialectical behaviour therapy (DBT) is a third-wave cognitive behavioural therapy developed for individuals experiencing high levels of self-injury, suicidal ideation, and emotion dysregulation (Linehan, Reference Linehan1993). DBT is an effective intervention for suicidal and NSSI behaviours in young people (Johnstone et al., Reference Johnstone, Marshall and McIntosh2022; Kothgassner et al., Reference Kothgassner, Goreis, Robinson, Huscsava, Schmahl and Plener2021) and is recommended by the National Institute for Health and Care Excellence (2022) in the UK, and National Institute of Mental Health (2022) in the USA, for the treatment of self-injury and emotion dysregulation in adolescent populations.
The DBT model is thought to have useful applications for distress associated with SGM experiences (Camp, Reference Camp, Semlyen and Rohleder2023; Camp et al., Reference Camp, Morris, Wilde, Smith and Rimes2023b; Cohen et al., Reference Cohen, Norona, Yadavia and Borsari2021; Penta et al., Reference Penta, Correia, Schneider, Holshausen, Nicholson, Haefner, Mutschler, Ferdossifard, Boylan, Hewitt, Roth, Wilson and Hatchard2022; Skerven et al., Reference Skerven, Whicker and LeMaire2019; Sloan et al., Reference Sloan, Berke and Shipherd2017). One reason for this is that DBT is principle-driven, which allows flexibility to integrate SGM-specific issues into the treatment as needed. In addition, Linehan’s (Reference Linehan1993) transactional biosocial model, which underpins the understanding of how difficulties develop, is thought to be complementary to minority stress theories. The ‘biological’ aspect of this model suggests that a person may have a societally minoritised (e.g. gender diversity from a young age; Grove and Crowell, Reference Grove, Crowell and Swales2019) or temperamental (e.g. emotion sensitivity) difference, which makes it more likely that developmentally important others and society will invalidate their experiences. An invalidating developmental environment (the ‘social’ part of the model) subtly and explicitly teaches the person that their experiences related to their differences and internal world are invalid and/or that complex problems are easily solved (Grove and Crowell, Reference Grove, Crowell and Swales2019; Linehan, Reference Linehan1993). Transactions between potential vulnerabilities and invalidating environments amplify and change dynamically over time, resulting in an individual not learning how to understand and label their emotions, thus learning to mistrust their experiences; internalising invalidating messages (self-invalidation); and under-estimating the complexity of solving life problems. This often leads to a lack of problem-solving skills, difficulties tolerating distress, and impairment in setting reasonable goals and expectation. This is thought to cause a skills deficit or breakdown in the context of managing complex life stressors (such as those experienced by SGM individuals), contributing to the development of emotion dysregulation (Grove and Crowell, Reference Grove, Crowell and Swales2019; Linehan, Reference Linehan1993). Difficulties regulating emotions likely leads to dysregulation in other aspects of life (e.g. identity confusion, relationship difficulties, and impulsive behaviours; Linehan, Reference Linehan1993). Congruent with the minority stress and psychological mediation models, the biosocial model may be a useful way to explain how SGM’s experiences and the internalisation of invalidation may result in the development of emotion dysregulation, which may contribute to psychological distress and ‘behavioural dysregulation’, such as self-injury (Cohen et al., Reference Cohen, Norona, Yadavia and Borsari2021; Sloan et al., Reference Sloan, Berke and Shipherd2017).
Another aspect of DBT thought to be applicable to SGM groups is the focus on the transdiagnostic construct of emotion dysregulation as the core treatment target, which is considered an important mediating factor between minority stress and mental health outcomes in the psychological mediation framework (Hatzenbuehler, Reference Hatzenbuehler2009). Finally, the use of validation, a dialectical world view, and teaching skills that are generalisable to varied life problems, makes DBT a potentially ideal candidate for supporting SGM young people experiencing psychological distress and discrimination (Cohen et al., Reference Cohen, Norona, Yadavia and Borsari2021; Penta et al., Reference Penta, Correia, Schneider, Holshausen, Nicholson, Haefner, Mutschler, Ferdossifard, Boylan, Hewitt, Roth, Wilson and Hatchard2022; Skerven et al., Reference Skerven, Whicker and LeMaire2019; Sloan et al., Reference Sloan, Berke and Shipherd2017). This should not be seen to imply that it is incumbent on minoritised individuals to take responsibility for managing societal oppression. However, while such oppression exists, it is considered that DBT may offer an effective way to support SGM youth to understand how difficulties develop in relation to their minoritised identity and support them to cope and thrive, given that societal change is slow. It should also be balanced with empowering minoritised individuals to advocate for their needs and societal change.
Some authors have considered how to adapt the DBT model for SGM-specific needs in adult samples. Cohen et al. (Reference Cohen, Norona, Yadavia and Borsari2021) and Skerven et al. (Reference Skerven, Mirabito, Kirkman and Shaw2021) have both developed an adaptation to DBT skills training to include skills specific to SGM minority stressors and tailored SGM-specific teaching examples. These adaptations have been piloted with a small number of SGM adult veterans in the USA with promising outcomes. In a similar vein, a number of authors also suggest ways that the DBT model and principles, more generally, can be applied to SGM populations (Camp, Reference Camp, Semlyen and Rohleder2023; Camp et al., Reference Camp, Morris, Wilde, Smith and Rimes2023b; Pantalone et al., Reference Pantalone, Sloan, Carmel, Pachankis and Safren2019; Skerven et al., Reference Skerven, Whicker and LeMaire2019; Sloan et al., Reference Sloan, Berke and Shipherd2017; Tilley et al., Reference Tilley, Molina, Luo, Natarajan, Casolaro, Gonzalez and Mahaffey2022). However, these recommendations have generally not been empirically tested, nor has consideration been given to specific application of DBT for SGM adolescent populations. One study has investigated outcomes of a DBT-informed intervention (interpersonal effectiveness skills), embedded within a wider cognitive behavioural intervention, in an adult partial-hospital setting where the sample was stratified by those who identified as heterosexual and sexual minorities (Beard et al., Reference Beard, Kirakosian, Silverman, Winer, Wadsworth and Björgvinsson2017). The study found no significant differences between groups in anxiety and depression symptoms, and substance use at the end of the intervention. However, they found that the bisexual group, compared with the heterosexual and gay/lesbian group, had higher self-injury and suicidal thoughts, and worse perceptions of care at the end of treatment. This finding is similar to that observed in outcome research for adult CBT services in the UK, where bisexual (but not gay) men had worse outcomes compared with heterosexual men; for women, both lesbian and bisexual patients had poorer outcomes than heterosexual women (Rimes et al., Reference Rimes, Ion, Wingrove and Carter2019b).
Only one known study has investigated equality of outcomes between sexuality minoritised and heterosexual adolescents within a non-adapted 18-week DBT programme for adolescents (Poon et al., Reference Poon, Galione, Grocott, Horowitz, Kudinova and Kim2022). No significant differences were found in changes in depression, anxiety, BPD symptoms, emotion dysregulation, and adaptive and maladaptive coping between the sexuality minoritised and heterosexual groups. However, this study employed a small sample, did not include gender minorities, and grouped sexual minorities together despite potential differences in outcomes within minority groupings (Beard et al., Reference Beard, Kirakosian, Silverman, Winer, Wadsworth and Björgvinsson2017; Rimes et al., Reference Rimes, Ion, Wingrove and Carter2019b). No known adult or adolescent study has investigated outcomes in non-adapted DBT for gender minorities (for a review, see Harned et al., Reference Harned, Coyle and Garcia2022).
The current study, therefore, investigated clinical outcomes for SGM adolescents in a comprehensive DBT programme implemented in the UK National Health Service (NHS). This exploratory study presents data for specific sexual minority groups, rather than grouping all sexual minorities together, and for gender minority groups. Retrospective data were used from routine clinical practice. The aim is to provide practice-based outcome data for SGM adolescents, with the hope of stimulating and informing future studies. The exploratory research questions included:
-
(1) What are the rates of treatment completion and non-completion for the different sexuality and gender groups within this DBT service ?
-
(2) Are there changes in clinical outcomes by the end of DBT for the different sexuality and gender groups within this service?
-
(3) Does sexual orientation and gender identity group membership have an effect on clinical outcomes within this DBT service?
Method
Design
This is a mixed independent and repeated measures design, with a sample stratified by sexual and gender identity (independent variables). The initial research question investigated the proportions who completed treatment (dependent variable) between sexual and gender identity groups in this service context (independent measures design). The second and third questions explored changes in clinical outcomes (dependent variables; suicidal and NSSI behaviours, in-patient bed-days, Accident and Emergency department (A&E) attendances, emotion dysregulation, reasons for living, and BPD, depression and anxiety disorder symptoms) from a baseline time point compared with an end- or during-treatment time point (time points varied for some variables) for the sexual and gender identity groups within this service context (repeated measures design).
Participants
The study inclusion criteria included being assessed as suitable for DBT pre-treatment for question 1 (n=167), and starting and completing DBT treatment for question 2 (n=112), over five years of service delivery. The inclusion criteria for the service included: (1) that participants were between 13 years and 17 years and 4 months (at referral; upper age limit varied depending on service capacity), (2) had engaged in at least one episode of self-injury in the past 6 months, and (3) had presented with symptoms in at least a further four domains of BPD as assessed according to the BPD subscale within the Structured Clinical Interview for DSM-V (SCID; First et al., Reference First, Gibbon, Spitzer, Williams and Smith Benjamin1997). While the young people needed only one episode of self-injury in the past 6 months to access the service, because this is a Tier-4 setting most young people had high levels of suicidal behaviours and NSSI, which had typically not responded to lower-tiered interventions. The exclusion criteria for the service included a primary diagnosis of schizophrenia/psychosis, substance-use dependency, or another psychiatric disorder(s) that required more urgent assessment or treatment, or where the individual had opted out of the programme in the past 3 months.
Treatment context
The National & Specialist CAMHS, DBT Service is a highly-specialist Tier-4 community DBT programme for adolescents (see Camp et al., Reference Camp, Hunt and Smith2023a and Smith et al., Reference Smith, Hunt, Parker, Camp, Stewart and Morris2023, for further details on the programme). Tier-4 child and adolescent mental health services (CAMHS) in the UK are intensive and highly specialist interventions, which include specialist intensive out-patient treatment programmes, in-patient services, day programmes, and home intervention (NHS England, 2018). Tier-4 services are often only utilised when attempts to meet needs in lower-tiered services are unsuccessful. If young people met the service inclusion criteria, they were offered pre-treatment, consisting of four to six sessions to learn about DBT, develop goals, and decide if this was the right time and treatment. If young people signed up to the DBT programme, they were offered 8–12 months of treatment. Treatment included the four core modes of DBT (Camp et al., Reference Camp, Hunt and Smith2023a), informed the DBT model for adults (Linehan, Reference Linehan1993) and adolescents (Rathus et al., Reference Rathus, Miller, Bonavitacola and Swales2018). Parents/carers were offered individual and family sessions as needed, alongside telephone coaching/support and a separate 6-month-long parent/carer skills group informed by the DBT model for families (Fruzzetti, Reference Fruzzetti and Swales2019).
All therapists attended weekly DBT consultation meetings (Linehan, Reference Linehan1993) and completed, as a minimum, foundation training in DBT via a licensed provider. Model adherence was supported by regular supervision, weekly team consultation meetings, and quarterly team consultation with an expert in DBT. As a principle-based treatment, some reasonable adaptations were made to treatment components to integrate identity- and stigma-related issues into participants’ treatment hierarchies and goals where relevant. Over the five years of service delivery covered within this evaluation, therapists experienced increasing training and awareness of SGM-associated difficulties. This included at least an annual teaching session on working with SGM young people and the contemporary published research in this area (e.g. Skerven et al., Reference Skerven, Whicker and LeMaire2019). Exposure to these topics and an awareness of the high prevalence of SGM young people in the service resulted in increased use of sexuality- and gender-diverse examples in teaching, the disclosure of pronouns by therapists in skills groups, and the inclusion of socio-political invalidating environments within the teaching of the biosocial model. Additionally, therapists supported their clients with SGM-associated difficulties where they came up as links in chain analyses and where they were included in treatment goals. However, no fundamental adaptations were made to the skills modules or programme delivery with regard to SGM-related difficulties.
Procedures
All data were collected via routine service delivery, with informed consent sought for treatment and questionnaire completion at intake from young people and their parents/carers. Demographic information was collected via a self-report questionnaire at assessment. Each question (with the exception of age, which offered a free text response option) was multiple choice, with an option for ‘prefer not to say’ and ‘prefer to self-describe’. The question inquiring about sexual orientation was added 6 months into this service delivery period after clinical observations of the high prevalence of sexuality diverse adolescents accessing the service prompted the need for improved monitoring. Thus, there is higher missing data for this variable. Routine outcome measures (i.e. emotion dysregulation, BPD, depression, and anxiety symptoms, and reasons for living) were collected via QualtricsTM (Monash University, 2022) at assessment and at the end of treatment. Counts of NSSI and suicidal behaviours were collected for the first 8 weeks of DBT (including pre-treatment) and the final 8 weeks of DBT using self-reports on diary cards corroborated with reports from parents/carers and allocated professionals. Counts of A&E attendances and occupied in-patient bed-days from the matched period before and during DBT were collected from NHS records and corroborated with reports from the young people, parents/carers, and professionals in their system.
Measures
The McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD)
The MSI-BPD is a widely used screening instrument with good sensitivity and specificity for predicting the presence of BPD in adolescent populations (Zanarini et al., Reference Zanarini, Vujanovic, Parachini, Boulanger, Frankenburg and Hennen2003). The 10 items are rated as ‘no’ (0) or ‘yes’ (1). Higher scores indicate higher presence of BPD symptoms and a score of 7 or above is the clinical cut-off (Zanarini et al., Reference Zanarini, Vujanovic, Parachini, Boulanger, Frankenburg and Hennen2003). This measure’s validity and reliability have been demonstrated among adolescents (Noblin et al., Reference Noblin, Venta and Sharp2013; Zanarini et al., Reference Zanarini, Vujanovic, Parachini, Boulanger, Frankenburg and Hennen2003).
Difficulties in Emotion Regulation Scale (DERS)
The DERS (Gratz and Roemer, Reference Gratz and Roemer2004) is a self-report measure assessing multiple aspects of emotion dysregulation. The 36 items are measured on a 5-point Likert scale from ‘almost never’ (1) to ‘almost always’ (5). Higher scores indicate more difficulty with emotion regulation and scores above 129 are suggested as a clinical cut-off (Camp et al., Reference Camp, Hunt and Smith2023a). The DERS has good psychometric properties in adolescent populations (Gratz and Roemer, Reference Gratz and Roemer2004; Neumann et al., Reference Neumann, van Lier, Gratz and Koot2010; Weinberg and Klonsky, Reference Weinberg and Klonsky2009).
The Reasons for Living Inventory, Adolescent Version (RFL)
The RFL (Osman et al., Reference Osman, Downs, Kopper, Barrios, Baker, Osman, Besett and Linehan1998) is a 32-item self-report measure of multiple protective factors against suicide. Items are rated on a scale from ‘not at all important’ (1) to ‘extremely important’ (6) and all items are averaged. Higher average scores indicate more protective factors for preventing suicidal behaviours. The RFL has good psychometric properties (Osman et al., Reference Osman, Downs, Kopper, Barrios, Baker, Osman, Besett and Linehan1998).
The Moods and Feelings Questionnaire for Adolescents (MFQ)
The MFQ (Angold and Costello, Reference Angold and Costello1987) is a self-report screening tool for depression in adolescents. The 33 items assess how young people have been feeling or acting recently, rated from ‘not true’ (0) to ‘true’ (2). Higher scores indicate higher severity of depression symptoms and scores above 28 are suggested as a clinical cut-off (Daviss et al., Reference Daviss, Birmaher, Melhem, Axelson, Michaels and Brent2006). The MFQ has established psychometric properties (Angold and Costello, Reference Angold and Costello1987; Daviss et al., Reference Daviss, Birmaher, Melhem, Axelson, Michaels and Brent2006).
Screen for Child Anxiety-related Emotional Disorders for Adolescents (SCARED)
The SCARED (Birmaher et al., Reference Birmaher, Brent, Chiappetta, Bridge, Monga and Baugher1999) is a self-report measure assessing anxiety disorders in children and young people. The 41 items use a 3-point Likert scale from ‘not true or hardly ever true’ (0) to ‘very true or often true’ (2). A total score of 25 or above is suggested as the clinical cut-off (Birmaher et al., Reference Birmaher, Brent, Chiappetta, Bridge, Monga and Baugher1999). The SCARED has established psychometric properties (Birmaher et al., Reference Birmaher, Khetarpal, Brent, Cully, Balach, Kaufman and Neer1997; Birmaher et al., Reference Birmaher, Brent, Chiappetta, Bridge, Monga and Baugher1999).
Occupied in-patient bed-days
This is a count of days, including an overnight stay, during which a young person is admitted as an in-patient due to concerns around mental health and risk.
A&E attendances
This is the count of attendances to the A&E department due to mental health crises, including, but not limited to, NSSI and suicidal behaviours.
Self-injury
This is the count frequency of NSSI and suicidal behaviours/incidents. Self-injury incidents are counted irrespective of motivation due to the difficulties differentiating based on motivation and intention (Bernegger et al., Reference Bernegger, Kienesberger, Carlberg, Swoboda, Ludwig, Koller, Inaner, Zotter, Kapusta, Aigner, Haslacher, Kasper and Schosser2018; King, Cabarkapa, & Leow, Reference King, Cabarkapa and Leow2019). Self-injury is defined as any intentional self-injury, such as cutting or burning skin, ingestion of harmful objects, or other methods to cause trauma to body tissue, irrespective of suicidal motivation (Bernegger et al., Reference Bernegger, Kienesberger, Carlberg, Swoboda, Ludwig, Koller, Inaner, Zotter, Kapusta, Aigner, Haslacher, Kasper and Schosser2018; King et al., Reference King, Cabarkapa and Leow2019).
Data analysis
Data were analysed in SPSS version 28 (IBM Corporation; https://www.ibm.com/support/pages/downloading-ibm-spss-statistics-28). Missing data across clinical outcomes was 5.15% and missing at random (Little’s MCAR test: χ2=328.49, d.f.=327, p=.47). Missing outcome data were computed using expectation maximisation (Enders, Reference Enders2001; Scheffer, Reference Scheffer2002). In the overall sample there was no missing data for gender identity. Three per cent in the overall sample endorsed the ‘prefer not to say’ option for sexual orientation, which was treated as missing data. In the overall sample, after transforming ‘prefer not to say’ into missing data, 13% had missing sexual orientation data (mostly due to this question being added to the questionnaire at a later date). Sexual orientations were grouped as bisexual/pansexual, gay/lesbian, and heterosexual to retain group size for statistical power while balancing not over generalising findings between sexuality minoritised groups. The gender identity groups were split into: (1) those whose gender identity was different from their sex assigned at birth (transgender) and (2) those whose gender identity and sex assigned at birth were the same (cisgender). Further disaggregated descriptive statistics are available in the Supplementary material.
Appropriate assumptions for each statistic test were checked. For question 1, Fisher’s exact tests were used to explore proportions of treatment completion, as there were less than five counts within at least one group. For question 2, paired samples t-tests or Wilcoxon signed rank test (WSRT; if t-test assumptions were not met) were used to investigate changes in outcomes from Time 1 to Time 2 for each group. Cohen’s (Reference Cohen1988) d effect sizes for t-tests and Rosenthal’s (Reference Rosenthal, Cooper and Hedges1994) r effect sizes for WSRTs were reported. For question 3, ANCOVA was used as a preliminary analysis investigating whether sexual orientation or gender identity group membership had an effect on end of treatment (or similar) outcomes, while controlling for baseline scores on the same measure. Partial eta-squared effect sizes were reported. Where the appropriate assumptions for the ANCOVA were not met, the Quade non-parametric ANCOVA (Rae, Reference Rae1985) was used instead.
Results
Descriptive statistics
Sociodemographic data for the sample are presented in Tables 1 and 2. In the overall sample, 65% identified as sexual minorities and 17% as gender minorities. These were not mutually exclusive and thus many sexual minorities identified as gender minorities and vice versa.
Table 1. Sociodemographic characteristics and treatment length by sexual orientation groups
n, sample size; M, mean; SD, standard deviation. Due to missing data on sexual orientation, sample size for sexual orientation treatment completers is smaller than for gender identity.
Table 2. Sociodemographic characteristics and treatment length by gender identity groups
n, sample size; M, mean; SD, standard deviation. aInclusive of binary and non-binary transgender identities. Not all proportions total the same as the sample total due to missing data.
Question 1: Treatment completion and non-completion
For the disaggregated sexual orientation groups: 33 (62%) of the bisexual group completed DBT, 12 (23%) opted out during DBT before completion, and eight (15%) opted out in pre-treatment before signing up to DBT; 13 (81%) of the pansexual group completed DBT, one (6%) opted out during DBT, and two (13%) opted out during pre-treatment; 15 (65%) of the gay/lesbian group completed treatment, two (9%) opted out in treatment, and six (26%) opted out during pre-treatment; and 36 (74%) of the heterosexual group completed DBT, seven (14%) opted out during treatment, and six (12%) opted out during pre-treatment. For the disaggregated gender identity groups: four (44%) of the binary transgender participants completed DBT, two (23%) opted out during treatment before completion, and three (33%) opted out in pre-treatment before signing up to the DBT programme; 15 (79%) of the non-binary participants completed DBT, two (10.50%) opted out in treatment, and two (10.50%) opted out in pre-treatment; and 93 (67%) of the cisgender participants completed treatment, 22 (16%) opted out during DBT, and 24 (17%) opted out during pre-treatment. The Fisher’s exact test found no significant differences in the proportion of young people who completed treatment and those who did not across the aggregated sexual orientation and gender identity groups (see Table 3).
Table 3. Treatment completion and non-completion by sexual orientation and gender identity
n.s., not statistically significant at p=<.05. aInclusive of binary and non-binary transgender identities.
Question 2: Changes in clinical outcomes by the end of DBT
The paired samples t-tests and WSRT found a significant improvement in the majority of clinical outcomes from the start to the end of DBT for each group, with medium to large effect sizes (see Tables 4 and 5). This was with the exception of the SCARED for heterosexual participants and self-injury for gay/lesbian participants, which were not significantly different by the end of treatment and had small effect sizes.
Table 4. Inferential statistics comparing pre- and post-treatment clinical outcomes for sexual orientation groups
*p=<.05, **p=<.01. n, sample size; Ax, assessment; End, end of DBT; M, mean; SD, standard deviation. Cohen’s d small effect = ≥0.20, medium effect = ≥0.50, large effect = ≥0.80 (Cohen, Reference Cohen1988). Rosenthal’s r small effect = ≥0.10, medium effect = ≥0.30, large effect = ≥0.50 (Cohen, Reference Cohen1988). t, paired samples t-test; Mdn, median; R, range; Z, Wilcoxon signed rank test Z-statistic; MSI-BPD, MacLean Screening Instrument for BPD, clinical cut-off = ≥7; DERS, Difficulties with Emotion Regulation Scale, clinical cut-off = ≥128; RFL, Reasons for Living Inventory; MFQ, Moods and Feelings Questionnaire, clinical cut-off = ≥29; SCARED, Screen for Child Anxiety-Related Emotional Disorders, clinical cut-off = ≥25; Self-injury is count of suicidal and non-suicidal self-harm in the first 8 weeks (Pre) and last 8 weeks (Post) of DBT. A&E, count of Accident and Emergency department visits in the matched period before DBT (Pre) and during DBT (Post). In-patient days, occupied in-patient bed-days in the matched period before DBT (Pre) and during DBT (Post).
Table 5. Inferential statistics comparing pre- and post-treatment clinical outcomes for gender groups
*p=<.05, **p=<.01. n, sample size; Ax, assessment; End, end of DBT; M, mean; SD, standard deviation. Cohen’s d small effect = ≥0.20, medium effect = ≥0.50, large effect = ≥0.80 (Cohen, Reference Cohen1988). Rosenthal’s r small effect = ≥0.10, medium effect = ≥0.30, large effect = ≥0.50 (Cohen, Reference Cohen1988). t, paired samples t-test; Z, Wilcoxon signed rank test Z-statistic; MSI-BPD, MacLean Screening Instrument for BPD, clinical cut-off = ≥7; DERS, Difficulties with Emotion Regulation Scale, clinical cut-off = ≥128; RFL, Reasons for Living Inventory; MFQ, Moods and Feelings Questionnaire, clinical cut-off = ≥29; SCARED, Screen for Child Anxiety-Related Emotional Disorders, clinical cut-off = ≥25; Self-injuryl, count of suicidal and non-suicidal self-harm in the first 8 weeks (Pre) and last 8 weeks (Post) of DBT; A&E, count of Accident and Emergency department visits in the matched period before DBT (Pre) and during DBT (Post). In-patient days, occupied in-patient bed-days in the matched period before DBT (Pre) and during DBT (Post).
Question 3: Differences in clinical outcomes by sexual orientation or gender identity
According to the ANCOVA models, after adjusting for baseline scores on the corresponding measures, there was no significant differences between sexual orientation groups at the end of DBT for scores on the MSI-BPD (F 2,93=0.28, p=.76, partial η2=<.01), the DERS (F 2,93=0.40, p=.67, partial η2=<.01), the MFQ (F 2,93=0.19, p=.83, partial η2=<.01), and the SCARED (F 2,93=0.69, p=.51, partial η2=.02). After adjusting for baselined RFL scores, there was an overall significant difference in end-treatment RFL scores between sexual orientation groups (F 2,93=3.31, p=.04, partial η2=.07). However, post-hoc comparisons, with a Bonferroni correction, found no significant differences in RFL scores between the separate sexual orientation groups. There were emerging (non-significant) lower adjusted scores on the RFL for heterosexual participants compared with bisexual/pansexual (mean difference of –0.52, p=.10) and for the gay/lesbian group compared with the bisexual/pansexual group (mean difference of –0.67, p=.13). There was no emerging difference between the heterosexual and gay/lesbian group (mean difference of –0.15, p=1.00).
According to the Quade non-parametric analysis of covariance models, after adjusting for baseline rates of the corresponding variables, there were no significant differences between sexual orientation groups on the counts of self-injury incidents in the final 8 weeks of DBT (F 2,94=1.37, p=.25) or A&E attendances during DBT (F 2,94=1.38, p=.26). After adjusting for before-DBT occupied in-patient bed-days, there was a significant difference between sexual orientation groups in occupied in-patient bed-days during DBT (F 2,94=4.86, p=.01). Post-hoc comparisons suggested that adjusted rates of in-patient bed-days were higher for heterosexual participants compared with bisexual/pansexual participants (t 94=3.02, p=<.01). There was a (non-significant) trend towards the heterosexual participants having higher adjusted bed-days in DBT compared with the gay/lesbian participants (t 94=1.95, p=.05). The comparison between the bisexual/pansexual and gay/lesbian groups was not statistically significant (t 94=–0.24, p=.81).
According to the ANCOVA models, after adjusting for baseline scores on the corresponding measures, there was no significant difference between gender identity groups at the end of DBT for scores on the MSI-BPD (F 1,109=0.12, p=.73, partial η2=<.01), the DERS (F 1,109=0.68, p=.41, partial η2=<.01), the RFL (F 1,109 = 0.27, p=.60, partial η2=<.01), the MFQ (F 1,109=0.95, p=.33, partial η2=<.01), and the SCARED (F 1,109=0.40, p=.53, partial η2=<.01). According to the Quade non-parametric analysis of covariance model, after adjusting for baseline rates of the corresponding variables, there were no significant differences between gender identity groups on the count of self-injury incidents in the final 8 weeks of DBT (F 1,110=0.01, p=.91), A&E attendances during DBT (F 1,110=0.02, p=.96), or occupied in-patient bed-days during DBT (F 1,110=0.13, p=.72).
Discussion
This study investigated clinical outcomes for adolescents with different sexual and gender identities in a highly-specialist CAMHS DBT programme. The overall number of young people completing the DBT programme after starting is similar to other evaluations of DBT for adolescents (42–88%; Johnstone et al., Reference Johnstone, Marshall and McIntosh2022). No significant differences between groups were observed in the proportions completing DBT. However, it is possible that any differences may not have been sufficiently powered in this small sample once stratified. This study opted to not collapse groups further where possible due to the variability in outcomes found between minoritised groups in other studies (e.g. Beard et al., Reference Beard, Kirakosian, Silverman, Winer, Wadsworth and Björgvinsson2017; Rimes et al., Reference Rimes, Ion, Wingrove and Carter2019b). Nonetheless, it is of note that the completion rate for bisexual/pansexual and gay/lesbian groups were around 10% lower compared with the heterosexual group, and disaggregated data suggests this was even lower for bisexual groups. Additionally, while the differences between gender groups were minimal, the disaggregated binary transgender group, albeit small, had a completion rate of 44% compared with 67% and 79% for the cisgender and non-binary groups, respectively. As these findings were not statistically significant, inferences about any potential differences cannot be made. However, completion rates require investigation in future research with larger sample sizes as this may suggest that there are aspects of DBT pre-treatment and treatment that are less acceptable to these groups, resulting in potentially higher treatment attrition. Barriers to the acceptability of DBT and similar interventions for SGM groups include worries about therapist-held judgements and stigma, concerns regarding confidentiality, a lack of therapist awareness of SGM-associated difficulties, and being unable to integrate SGM topics into therapy (Camp et al., Reference Camp, Morris, Wilde, Smith and Rimes2023b; Hafeez et al., Reference Hafeez, Zeshan, Tahir, Jahan and Naveed2017; Pattinson et al., Reference Pattinson, McDermott, Eastham, Hughes, Johnson, Davis, Pryjmachuk, Jenzen and Mateus2021).
SGM adolescents in this service, alongside their heterosexual and cisgender peers, appeared to experience reductions in self-injury, A&E attendance, in-patient service use, emotion dysregulation, and BPD, depression, and anxiety symptoms, as well as improvements in reasons for living. Sexual orientation and gender identity group membership did not appear to impact most clinical outcomes in this service after controlling for baseline symptoms. However, adjusted rates of occupied in-patient bed-days during DBT were significantly higher for heterosexual participants compared with bisexual/pansexual groups. This is largely consistent with the findings of Poon et al. (Reference Poon, Galione, Grocott, Horowitz, Kudinova and Kim2022), that sexuality minoritised adolescents had reductions in clinical outcomes in their DBT programme. It is of note that the pre-to-post effect sizes for the bisexual/pansexual and gay/lesbian groups were larger compared with the heterosexual group, as well as for the transgender group compared with the cisgender group. However, no significant change was detected in self-harm for the gay/lesbian group or anxiety symptoms for the heterosexual group, with small effect sizes. These findings suggest that there may be improvements by the end of this DBT programme in clinical outcomes for SGM groups, and that these measures may be sensitive to change to inform future studies. However, these findings are based on treatment-completers and need to be considered in the context the possible above-mentioned lower DBT completion rates for the SGM groups.
This DBT programme did not fundamentally adapt treatment delivery, beyond reasonable adaptions given to areas of need, for supporting SGM adolescents. However, it may be that increasing therapist awareness and knowledge of SGM-related difficulties increased their skills in supporting this group and integrating diversity into the modes of treatment (e.g. disclosing pronouns and using SGM examples in skills group), which may contribute towards consistent outcomes across groups. Indeed, SGM adolescents in this service have reported that there were strengths in how DBT therapists created safety and integrated SGM topics into therapy (Camp et al., Reference Camp, Morris, Wilde, Smith and Rimes2023b). This does not seek to diminish the need for treatment adaptations for SGM-associated needs, such as those developed by Skerven et al. (Reference Skerven, Whicker and LeMaire2019). These culturally responsive treatment offers represent useful approaches to reduce stigma and oppression in practice, and build in minority-specific needs, to reduce barriers to access and increase satisfaction. This is important given the research suggesting that SGM adolescents experiences barriers accessing and within services (e.g. Williams and Chapman, Reference Williams and Chapman2011), and that standard models such as DBT may not sufficiently meet the unique needs of SGM youth (Camp et al., Reference Camp, Morris, Wilde, Smith and Rimes2023b). Instead, it may mean that standard DBT as delivered in this service context for adolescents is sufficiently flexible to be applied to some needs and distress of SGM young people to support with the reduction of traditional clinical outcomes.
An effective treatment targeting high-risk behaviours and emotion dysregulation may be particularly important for SGM adolescents given their higher risk of difficulties in these areas and to reduce the potential mediating effect of emotion dysregulation in their mental distress (Hatzebuehler, Reference Hatzenbuehler2009; King et al., Reference King, Semlyen, Tai, Killaspy, Osborn, Popelyuk and Nazareth2008; Liu et al., Reference Liu, Stevens, Wong, Yasui and Chen2019). It is also of interest that this cohort of young people, which were assessed as suitable for a highly specialist DBT programme, contain a large representation of SGM individuals; 65% were sexual minorities and 17% gender minorities in the overall sample. This is significantly higher than the number of SGM individuals thought to be in the general population of adolescents in the UK and USA (around 3–15% for sexual minorities and 0.2–2.0% for gender minorities; Gallup, 2022; Office for National Statistics, 2021a, 2021b; UK Government Equalities Office, 2018). A higher representation of SGM adolescents in this service may in part represent the high prevalence of relevant difficulties in SGM young people. However, the proportions of SGM adolescents assessed as suitable for this DBT service (i.e. 7 to 85 times) remain higher than would be expected even when considering the increased prevalence rates of self-injury and suicidal behaviours (e.g. 1.5 to 7 times; Liu et al., Reference Liu, Stevens, Wong, Yasui and Chen2019). This may suggest that there are particular SGM-associated needs not being met earlier in their treatment pathways and/or that they are experiencing barriers to accessing mental health services (e.g. clinician prejudice and misunderstanding; Hafeez et al., Reference Hafeez, Zeshan, Tahir, Jahan and Naveed2017; Pattinson et al., Reference Pattinson, McDermott, Eastham, Hughes, Johnson, Davis, Pryjmachuk, Jenzen and Mateus2021). Thus, it may be that future research and implementation considers how to meet SGM adolescents’ needs earlier in their treatment trajectory or generally in mental health services.
This study has a number of limitations. Firstly, this study relies on self-report measures, which may be subject to bias in reporting. Attempts, where possible, to corroborate self-reported frequencies of self-injurious behaviours, and emergency and in-patient service use were made using national health service records, but due to the varied systems across different UK healthcare providers, it may be possible that count data are an under-representation. Secondly, no validated framework was used to collect self-injury data, which may decrease validity and replicability of this outcome. Thirdly, this study also presents outcome data from a sample of treatment completers, which likely represents the most optimistic version of results. However, an intention-to-treat analysis was not possible, due to difficulties obtaining end-treatment data from those who opted out before completion.
The sample was also recruited from a highly specialist national Tier-4 DBT programme, which local services only refer to once they have exhausted local options to target self-injury and suicidal behaviours. Therefore, this sample may constitute unique characteristics with regard to severity and complexity of need, which may not generalise to similar interventions in other service contexts. While attempts were made to split the sample by appropriate SGM subgroups due to the evidence showing heterogeneity of outcomes and experiences of each group (e.g. Rimes et al., Reference Rimes, Ion, Wingrove and Carter2019b), it was not possible to split the sample by sex assigned at birth, which has also been shown to be associated with different outcomes for SGM groups (Rimes et al., Reference Rimes, Goodship, Ussher, Baker and West2019a), due to the very low representation of male assigned sex at birth participants. The relatively small samples of minoritised groups, where these were able to be stratified, also reduced statistical power. Finally, while DBT therapists are highly trained and supervised, and attend weekly consult meetings to maintain adherence and treatment quality, no formal measure of adherence was used consistently in this clinical setting in order to be included as a reassurance of treatment fidelity. In addition, while it is likely that culturally sensitive changes to treatment delivery were made over time (for examples, see Camp et al., Reference Camp, Morris, Wilde, Smith and Rimes2023b), these were not systematically monitored. Thus, it is not possible to know to which extent these adaptations impacted outcomes for the minoritised groups.
This study presents exploratory findings from a range of SGM groups within an adolescent population, from a naturalistic clinical setting, which included more SGM groups (i.e. gender minorities) and a larger sample, compared with the one similar evaluation (Poon et al., Reference Poon, Galione, Grocott, Horowitz, Kudinova and Kim2022). Similar studies in different settings, cultural contexts, and with a diverse range of participant characteristics are required. Future studies could also use the control afforded in research settings to conduct more methodologically robust research (e.g. randomised controlled trials) to investigate if DBT, in the current format, is efficacious for SGM adolescents and may benefit from including SGM-specific outcomes (e.g. internalised heterosexism). In addition, it is important to continue the work of culturally responsive intervention adaptations in order to reduce wider health inequalities, barriers to accessing services, and poorer experiences when in services (e.g. Hafeez et al., Reference Hafeez, Zeshan, Tahir, Jahan and Naveed2017; Pattinson et al., Reference Pattinson, McDermott, Eastham, Hughes, Johnson, Davis, Pryjmachuk, Jenzen and Mateus2021), alongside supporting existing service contexts to better meet the needs of minoritised populations.
Conclusions
This exploratory study found statistically significant improvements in most clinical outcomes for SGM individuals and their cisgender and heterosexual peers within this DBT programme. There were no statistically significant differences in treatment completion, but emerging differences indicated possible lower completion by sexual orientation and gender minority subgroups that require further investigation. This highly specialist service context included a high representation of SGM youth, even when considering inflated risk of self-injury, which highlights an interesting area for future investigation. Preliminary effect sizes and results intend to inform future research in this area.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/S135246582400016X
Data availability statement
The data are not publicly available due to being considered sensitive clinical data collected as part of routine service delivery.
Acknowledgements
We would like to acknowledge the participants who took the time to provide the data to be used as part of this service evaluation, and the DBT team for making considerable efforts to ensure data were collected.
Author contributions
Jake Camp: Conceptualization (lead), Data curation (lead), Formal analysis (lead), Funding acquisition (lead), Investigation (lead), Methodology (lead), Project administration (lead), Resources (lead), Software (lead), Supervision (supporting), Validation (lead), Visualization (lead), Writing – original draft (lead), Writing – review & editing (lead); Giancarlo Durante: Data curation (supporting), Formal analysis (supporting), Methodology (supporting), Project administration (supporting), Resources (supporting), Writing – original draft (equal), Writing – review & editing (supporting); Andrew Cooper: Formal analysis (supporting), Methodology (supporting), Supervision (equal), Writing – review & editing (supporting); Patrick Smith: Conceptualization (supporting), Data curation (supporting), Formal analysis (supporting), Funding acquisition (supporting), Investigation (supporting), Methodology (supporting), Supervision (equal), Validation (supporting), Writing – original draft (supporting), Writing – review & editing (supporting); Katharine Rimes: Conceptualization (supporting), Data curation (supporting), Formal analysis (supporting), Funding acquisition (supporting), Investigation (supporting), Methodology (supporting), Project administration (supporting), Resources (supporting), Software (supporting), Supervision (lead), Validation (supporting), Visualization (supporting), Writing – original draft (supporting), Writing – review & editing (supporting).
Financial support
This project was supported financially by Health Education England/the National Institute of Health Research (NIHR) via an Integrated Clinical Academic Programme, Pre-Doctoral Clinical Academic Fellowship allocated to Dr Jake Camp (Award Identifier: NIHR302655). The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR, National Health Service (NHS) or the UK Department of Health and Social Care.
Competing interests
Jake Camp is employed at the service where this research was conducted and funded to complete this project by Health Education England/the National Institute of Health Research. The remaining authors declare no competing interests.
Ethical standards
This study abides by the Ethical Principles of Psychology and Code of Conduct set out by the BABCP and BPS. Service evaluation and audit approval was provided by the South London & Maudsley NHS Foundation Trust CAMHS Clinical Governance (Audit and Service Evaluation) Committee. Data were collected as part of routine service delivery. Informed consent was sought from participants for questionnaire completion and use in service evaluations.
Open access
Comments
No Comments have been published for this article.