Background
For young people with ongoing mental health needs, and also their families, poorly planned transitions can make the shift from child and adolescent mental health services (CAMHS) to adult mental health services (AMHS) difficult.Reference Blum, Garell, Hodgman, Jorissen, Okinow and Orr1,Reference Saqr, Braun, Porter, Barnette and Hanks2 Transition refers to the purposeful, planned process that addresses the medical, psychosocial, educational and vocational needs of adolescents and young adults with chronic physical, neurodevelopmental and medical conditions as they move from child-centred to adult-oriented health-care systems.
Previous research has shown a third of young people experience a disruption or loss of care in the transition from CAMHS to AMHS, with only 4% experiencing an ‘ideal’ transition.Reference Singh, Paul, Ford, Kramer, Weaver and McLaren3 Reasons for this include no longer needing clinical mental health involvement, presenting problems not meeting criteria for AMHS or disengagement from services.Reference Islam, Ford, Kramer, Paul, Parsons and Harley4
For some young people, discharge to primary care is appropriate. However, certain groups of young people such as those with emotional, neurodevelopmental (including autism spectrum disorder (ASD)), or emerging personality disorders are at particular risk of not accessing adult services and of ‘falling through the CAMHS–AMHS gap’.Reference Singh, Paul, Ford, Kramer, Weaver and McLaren3,Reference Paul, Ford, Kramer, Islam, Harley and Singh5
These young people may subsequently present to adult services following a crisis or develop more serious and enduring mental health problems.6 Transfer to AMHS (this refers to the formal event when medical care of a young person is moved from children's services to adults’ services) has been found to be predicted by being prescribed medication at the time of transition and having a severe or enduring mental health condition, such as schizophrenia, bipolar affective disorder or psychotic disorders.Reference Singh, Paul, Ford, Kramer, Weaver and McLaren3
Aims
This paper uses data from a UK longitudinal study of young people with long-term conditions (including ASD and additional mental health problems)Reference Colver, Rapley, Parr, McConachie, Dovey-Pearce and Le Couteur7 to identify predictors of transfer to AMHS or discharge to primary care, and gain a greater understanding of the experience of transition for individual young people with both ASD and additional mental health problems. We hypothesised that (a) those young people who require medication, and/or had one or more severe mental health problem were more likely to transfer to AMHS; and (b) there would be evidence of unmet need for a substantial proportion of young people.
Method
Participants
Young people aged 14–18 years, with a diagnosis of ASD who were accessing CAMHS for an additional mental health problem, were recruited to the Transition Longitudinal research project (http://research.ncl.ac.uk/transition/) between 2012 and 2013. All were referred by clinicians who confirmed a diagnosis of ASD (through information in medical records), the additional mental health problem(s) and that the young people did not have a significant intellectual disability (also known in UK health services as a learning disability, confirmed by the referring clinician).
Young people were recruited from four services across England. Once consented, the families were visited on four occasions (baseline, 12-, 24- and 36-month follow-up) and completed several questionnaires. Full details of the study protocol and baseline characteristics have been published.Reference Colver, Rapley, Parr, McConachie, Dovey-Pearce and Le Couteur7
The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. All procedures involving human patients were approved by the Newcastle and North Tyneside 1 Research Ethics Committee (Numbers 12/NE/0059 and 12/NE/0284). All young people, and one parent/carer for each young person, provided informed written consent to join the study. young people under 16 years of age signed an assent form and the parent/carer gave informed consent.
Measures
At baseline, the Social Responsiveness Scale (SRS)Reference Constantino and Gruber8 (completed by the parents) was used to indicate the extent of social impairment. The Strengths and Difficulties Questionnaire (SDQ:Reference Goodman, Meltzer and Bailey9 a measure of young people's emotional and behavioural problems) was completed independently by the young people and a parent.
The following measures were completed at each visit.
(a) A sociodemographic questionnaire: a bespoke questionnaire including information on gender, education and employment status and the Index of Multiple Deprivation (IMD) to assess socioeconomic deprivation.10
(b) The Hospital Anxiety and Depression Scale (HADS):Reference Zigmond and Snaith11 a self-report 14-item questionnaire provided a measure of mental health symptoms for the week prior to the research visit. It has two subscales: anxiety and depression. Total scores categorised as ‘normal’ (0–7), ‘borderline abnormal’ (8–11) and ‘abnormal’ or clinical ‘caseness’ (12–21). An initial validation study has shown excellent psychometric properties in older adolescents and young adults with ASD.Reference Uljarević, Richdale, McConachie, Hedley, Cai and Merrick12
(c) The Warwick Edinburgh Mental Wellbeing Scale (WEMWBS):Reference Clarke, Friede, Putz, Ashdown, Martin and Blake13 a 14-item, self-report questionnaire, developed in the UK and valid in the age range 13 to 21 years, captures young people's mental well-being.
Information collated by the research assistants
Information was derived from clinical case notes and at research visits. Before each follow-up visit, the trained research assistants, with the young people's consent, accessed the clinical mental health case notes to record details of appointments (including whether the appointment was attended, prescriptions, diagnoses made and date of transfer); clinical information about the content of discussions between the clinician, young people and/or parent; issues raised by the young people or the parent in appointments/phone calls; and any referrals made to other support services.
At each face-to-face research visit, the questionnaires and notes from the clinical records were used to aid discussion with the young people and parent about their experience of healthcare services over the previous 12 months. A wide range of topics were covered including personal achievements and difficulties, family issues, changes in or problems at school or with the service provider, and access to or lack of relevant support. Following each visit, research assistants systematically collated this information about difficulties and complexities for the young person, their family and relevant professionals, together with positive successes and achievements.
Data analysis
Quantitative data analysis
SPSS version 23 was used for data analysis. Selected variables were compared using ANOVA or χ2-tests, which informed the subsequent analysis. Logistic regression was used to identify predictors of transfer from CAMHS to either AMHS or discharge to primary care. To maximise the data available for analysis, data for the young people who completed three or four visits were included; ‘final visit’ data were created combining those who completed the 24-month follow-up and those who completed the 36-month follow-up visit.Reference Colver, McConachie, Le Couteur, Dovey-Pearce, Mann and McDonagh14 Out of the 118 young people recruited, 88 completed a final visit. There were no significant differences between those who remained in the study and those who withdrew from the study in terms of condition severity or sociodemographic factors.Reference Colver, McConachie, Le Couteur, Dovey-Pearce, Mann and McDonagh14 Missing-item level data were handled according to the recommended rules for each outcome measure.
Analysis of information collated by research assistants
Framework analysisReference Ritchie, Spencer and O'Connor15 was used to consider and organise these data. H.M and C.K. repeatedly read through the information, identifying initial emerging themes and developed a thematic framework to facilitate the exploration of patterns and associations in the data. A 10% sample was double-coded to ensure consistency and reliability. The themes were then refined into categories (Fig. 1). Any differences were discussed and resolved through consensus. The themes and categories were reviewed and finalised with A.LeC.).
Fig. 1 Categories from framework analysis.
Mental health trajectories
The trajectories of the young people's HADS scores over the 3-year study period were reviewed. Of the 88 young people who completed a final visit, 82 had sufficient complete HADS data. Using the sequence of self-reported HADS scores, participants were grouped into three trajectory types:
(a) ‘doing well’: ‘normal’ HADS scores across all visits or showing improvement from abnormal or borderline abnormal scores to normal scores at the final visit;
(b) ‘continued moderate difficulty’: borderline abnormal mental health problems over the visits or scores fluctuating between borderline and abnormal; and
(c) ‘not doing well’: continued abnormal HADS scores or a decrease in scores over the study period ending in the abnormal range.
The trajectory of each young people was independently assessed by H.M. and C.K. and a consensus agreed.
Results
Participant characteristics
In total, 118 young people (mean age 16.1 years, s.d. = 1.3, range 14–18.9) with ASD and additional mental health problems and 113 parents/carers completed baseline measures (69.5% men, 30.5% women); 98.3% described themselves as White British. The mean age of young people at the final visit was 19.1 years (s.d. = 1.4, range: 16.1–21.9 years). Therefore, although the young people were of a chronological age to be discharged from children's services, the sample was still relatively young in terms of transition, which can be expected to continue up to 25 years of age.
At baseline young people-reported and parent-reported SDQ scores were borderline abnormal and abnormal, respectively (mean 17.6, s.d. = 6.1; mean 22.8, s.d. = 5.9, respectively).Reference Goodman, Meltzer and Bailey9 SRS scores were above the cut-offs for screening of ASD for both male (>70; mean 120, s.d. = 29.4) and female (>65; mean 110.4, s.d. = 29.6) participants.Reference Constantino and Gruber8 WEMWBS scores at baseline (median 47, interquartile range (IQR) = 41–52) were significantly below population norms.Reference Stewart-Brown and Janmohamed16 At the final visit 88 young people remained in the study, giving a retention rate of 74.6%.
Transfer location
Thirty young people withdrew from the study. Transfer location information was available for five of these, so their data were included in the analyses. Transfer data for 93 young people are presented in Table 1.
Table 1 Characteristics of sample by transfer location
CAMHS, Child and adolescent mental health services; WEMWBS, Warwick Edinburgh Mental Wellbeing Scale; IMD, Index of Multiple Deprivation; ADHD, Attention deficit hyperactivity disorder; ADD, attention-deficit disorder; ODD, oppositional defiant disorder; HADS, Hospital Anxiety and Depression Scale.
a. Young person transferred over the 3-year study period. Data is from the visit after their transfer.
b. Young person was still in CAMHS at final visit. Data are from final visit.
c. Significantly below population norms across all groups. χ2 analysis not conducted for some conditions because of the low frequency of occurrence.
d. Depression, low mood.
e. Anxiety, obsessive–compulsive disorder, phobia, social anxiety.
f. Oppositional defiant disorder, conduct disorder, challenging behaviour, behavioural problems, aggression, anger management problems.
g. Insomnia, requiring melatonin.
h. Conversion disorder, psychosis (one young person), chronic fatigue syndrome.
i. Dyslexia, dyspraxia, dyscalculia, developmental coordination disorder.
j. Asthma, epilepsy (one young person), allergies, migraine, thyroid dysfunction.
There were differences in the ages of each transfer group, with overlap between groups. This is not surprising given that some young people were discharged to primary care earlier than they would be transferred to AMHS. Building on these findings a stepwise logistic regression was used to identify predictors of transfer from CAMHS to either AMHS or discharge to primary care. Taking prescribed medication was entered first, followed by a diagnosis of attention-deficit hyperactivity disorder (ADHD), and the remaining variables. Two individuals from the primary care group were not included in the analysis as they were aged under 16 years when discharged from CAMHS and therefore not eligible to transfer to AMHS.
The logistic regression findings are presented in Table 2. Overall the final model that included a diagnosis of ADHD (odds ratio (OR) = 8.22, 95% CI 2.33–29.02, P = 0.001) and prescribed medication for a mental health problem (OR = 4.00, 95% CI 1.00–15.95, P = 0.05), was significant in predicting transfer outcome (χ2 (7) = 18.58, P = 0.010). Nagelkerke R 2 indicates that the final model explains 31.7% of the variance. Prescribed medication was only significant with the introduction of an ADHD diagnosis in the model; therefore, this significance is likely to be explained by young people with ADHD accessing adult services for medication.
Table 2 Logistic regression for predictors of transfer location
OR, odds ratios; ADHD, Attention-deficit hyperactivity disorder; HADS, Hospital Anxiety and Depression Scale; WEMWBS, Warwick Edinburgh Mental Wellbeing Scale; IMD, Index of Multiple Deprivation.
a. Data are from the visit following the young person's transfer date, except for IMD, which was collected at baseline.
* Significant at P < 0.05.
Analysis of additional contextual data
The framework analysis used data from the total sample (n = 118). Twenty-four themes were identified and then summarised into seven categories that described the young people's and their parents’ experience of transition (see Fig. 1).
Several of the themes identified related to concerns about ASD and broader developmental and adolescent issues.
Mental health trajectory
Young people were grouped into three HADS trajectories: ‘doing well’ (n = 23), ‘continued moderate difficulty’ (n = 29), ‘not doing well’ (n = 30). There were no significant differences in transfer outcome, age, baseline SRS scores, or additional mental health diagnoses between the groups (Table 3).
Table 3 Differences between Hospital Anxiety and Depression Scale trajectory groups
CAMHS, Child and adolescent mental health services; AMHS, Adult mental health services; SDQ, Strengths and Difficulties Questionnaire; SRS, Social Responsiveness Scale; WEMWBS, Warwick Edinburgh Mental Wellbeing Scale.
a. Higher scores reflect more difficulties on the SDQ and greater social impairment on the SRS.
b. Higher scores reflect better mental well-being.
There were significantly more female young people in the ‘not doing well’ group compared with the ‘doing well’ group (χ2(1) = 11.99, P = 0.001) and the ‘moderate difficulty’ group (χ2(1) = 4.99, P = 0.026). Those in the ‘doing well’ group reported significantly lower baseline young person-reported SDQ scores than the ‘moderate difficulty’ (P = 0.001) and the ‘not doing well’ groups (P < 0.001). There was no difference in young person-reported SDQ scores between the ‘moderate difficulty’ group and the ‘not doing well’ group (P = 0.792). Across all the time points those in the ‘doing well’ group reported significantly higher well-being (WEMWBS) scores than the ‘moderate difficulty’ (P = 0.001) and the ‘not doing well’ groups (P < 0.001). There was no significant difference between the ‘not doing well’ and the ‘moderate difficulty’ group (P = 0.154).
The source materials used to identify the categories and themes identified in the framework analysis (see Fig. 1) also enabled an exploration of aspects of transition and mental health experiences relevant for individuals within the HADS groups. A summary and examples of differences between the ‘doing well’, ‘continued moderate difficulty’ and ‘not doing well’ groups are shown in the Appendix.
Those in the ‘doing well’ group had made positive references to levels of engagement with services and there were accounts of relative stability in terms of education achievements and family life compared with the other two groups. Results suggest that individuals in this group were learning to manage their mental health concerns, developing an awareness of the impact of their ASD and learning to negotiate, with support, some developmentally appropriate aspects of transition to adulthood.
In the ‘moderate difficulty’ group, the young people reported life events such as family illness, parental separation or disrupted education transitions that may have contributed to fluctuations in their self-reported mental health. There were also reported concerns about the effect of ASD characteristics on independence. This group seemed to be experiencing difficulties in one or two areas, whereas in the ‘not doing well’ group, there seemed to be difficulties across multiple areas. Similar to the ‘moderate difficulty’ group, the research visit notes reported the adverse impact of ASD symptoms (such as limited independent living skills, problems in maintaining friendships), and the families’ and professionals’ awareness of unmet needs. However, for many, longer-term disengagement meant young people were not accessing the services and support offered to them, despite appearing to have a greater need.
It is not possible to draw conclusions about causality in relation to whether fewer ASD-related and family/social issues resulted in better engagement and mental health outcomes for the ‘doing well’ group, and vice versa for the ‘not doing well’ group. The presence of multiple difficulties and challenges in all these areas appeared to be associated with negative outcomes for young people in the ‘not doing well’ group. In the ‘not doing well’ group, young people appeared often to be being referred to and have contact with several different National Health Service and volunteer organisations. However, these contacts were often short-term either because of the nature of the referral or to disengagement. Potentially, having these short-term contacts with several different organisations was a struggle for this group to manage and feel supported in, especially given their greater self-reported SDQ scores.
Discussion
Main findings
For young people with ASD and additional mental health problems in our study, despite having persisting symptoms of anxiety and depression, the only significant predictors of transfer from CAMHS to AMHS were having a diagnosis of ADHD and taking prescribed medication (when combined with a diagnosis of ADHD). The number of mental health disorders, HADS scores and well-being scores did not predict adult healthcare outcome.
Our findings from the regression analysis are in contrast to previous research that highlighted the problems for young people with ASD and ADHD achieving successful transfer to AMHS.Reference Singh, Paul, Ford, Kramer, Weaver and McLaren3,Reference Ogundele and Omenaka17 The UK ADHD National Institute for Health and Care Excellence guidelines18 NG87 recommend that both diagnosis of ADHD and the initiation of drug treatment should be undertaken by appropriately qualified healthcare professionals with expertise in ADHD, and that continued prescribing and monitoring of drug therapy may be performed by primary care physicians, under shared care arrangement with the specialist services. No reference is made in NG87 about individuals with co-occurring ASD. It is unclear whether UK AMHS are adequately resourced to provide diagnostic and follow-up clinics for adults with ASD, ADHD and other additional co-occurring mental health conditions. Our findings might imply that for individuals with ASD, the ADHD symptoms may be particularly impairing and so lead to transfer to AMHS. Indeed, several parents and young people commented that 6 monthly/yearly follow-up medication clinic appointments did not meet the wider needs of young people coping with a broad range of concerns about mental health and other social and educational needs.
Transfer outcomes
Across the three HADS trajectory groups there was no significant difference in their transfer outcome, despite one group having continuous or increasing difficulty with their mental health. The qualitative results provide more detail about the experience of transition for young people with ASD and additional mental health problems. Not all young people with mental health problems either want or need to transfer to AMHS, with discharge to primary care being an appropriate pathway for some. Much has been written about the variations in eligibility-based adult service provision and the limited access to AMHS for young people with a range of mental health problems (including ASD and additional mental health problems, emotional disorders and emerging personality disorders).Reference Singh, Paul, Ford, Kramer, Weaver and McLaren3,Reference Paul, Ford, Kramer, Islam, Harley and Singh5 This may mean that at age 18 years some young people with ASD may find that, despite no change in their mental health problems, they can no longer access secondary mental health services.
For 35% of young people discharged to primary care, this pathway was not successful, resulting in crisis team involvement, referrals to counselling services, and receiving time-limited support in AMHS before being discharged again. The analysis of the HADS trajectories illustrated that some young people appeared to be more resilient, for example, managing their mental health and able to engage successfully with services. As has been found in previous research,Reference Islam, Ford, Kramer, Paul, Parsons and Harley4 skills such as young people's engagement with services/treatment seem to have an important role in successful transition, with some young people reportedly being discharged from CAMHS because of disengagement with services.
Engagement
In our study, the most positive comments regarding engagement were from the ‘doing well’ group. This group did not differ significantly from the other groups in terms of severity of autism characteristics (baseline SRS scores), transfer outcome, age, additional mental health diagnoses or parental SDQ scores. However, the young people reported lower SDQ scores, higher well-being and consistently had either low (‘normal’) or reported improvement in HADS scores over the 3 years. These young people, their families and clinicians described constructive interactions about wider transition topics and aspects of ASD as well as management of mental health comorbidities. The analysis of the available contextual information from clinical and research notes for all groups highlighted the relevance of some of the young people’s broader ASD social and emotional developmental needs and adaptive learning skills.
Consistent with previous research, positive influences on the young people’s experience of transition seem to include gaining an ability to participate socially, engage consistently and constructively with services, positive support including employment opportunities from family, and access to other community resources including education, all of which may be more challenging for young people with ASD.Reference Kirby, Baranek and Fox19,Reference Broad, Sandhu, Sunderji and Charach20
Transition contexts
Our analysis of HADS trajectories also highlighted a gender difference, with significantly fewer female participants in the ‘doing well’ group and significantly more in the ‘not doing well’ group. Although there is an increasing literature on the specific experiences of able women with ASD, few studies have specifically reported the transition experiences of young women with ASD. Perhaps for able young women the focus on social relational expectations and pressures of peer relationships with other young people may pose additional pressures during adolescence and transition – a period of considerable uncertainty. In a mixed methods study of able adolescents with autism and neurotypical adolescents, it was identified that the adolescent girls with autism had similar types of friendships and social experiences as their neurotypical peers, but had a smaller number of ‘intense’ friendships rather than a wider friendship group.Reference Sedgewick, Hill and Pellicano21 The adolescent girls with autism experienced more conflict and relational victimhood (for example exclusion, manipulation, victim of rumours), and found conflict harder to manage successfully. They reported that friends, although a useful source of social support, ‘were hard work’ and that maintaining more than one or two friendships was difficult. This in turn meant that arguments could be devastating as ‘you then have no-one else to go to’.
Although their study did not consider the impact of transition, the findings highlight the importance of considering the potential consequences of relational aggression on mental health and well-being, perhaps especially for girls with autism. In contrast, a qualitative study identified a group of young people with ASD seen in childhood and interviewed them 12 years later.Reference Cribb, Kenny and Pellicano22 The thematic analysis identified that the young people (at age 16–20 years) felt more in control of their own lives, needed to take one step at a time and valued their ‘social connections with others’. Both these studies highlight the importance of the wider context for the young person, and that acknowledging the young people's need for more time to take on young adult roles and responsibilities, is likely to promote well-being and a sense of self-identity. Minimising the impact of disruption of mental health provision or loss of support also appeared in this study to promote continuation of underlying skills development and the ability of young people with ASD to make and maintain relationships.
Identifying those most at risk of negative outcomes
How should we identify those young people that might be particularly at risk of negative outcomes through the period of transition? This study suggests that engaging with young people, and using a regular self-report check such as the HADS may help young people, their families and the professionals supporting them to identify their own trajectory and the impact of individual and family life experiences. This led to discussion of how to manage mental health needs or ASD-related needs that may be hindering their personal goals, achievements and engagement with support services. There is also a need for greater understanding of why some young people are disengaging from services.
The reasons varied within this study – for example, some young people chose not to be referred to or engage with AMHS because of reduced symptoms/impairment and use of effective coping strategies. Other young people underestimated their symptoms, disliking a dependence on therapies/medication and a rejection of support services, potentially leading to crisis and re-referral. Taking an approach that plans for the cessation of services or young people’s disengagement from services may result in better outcomes than unplanned disengagement.Reference Tatlow-Golden, Gavin, McNamara, Singh, Ford and Paul23
CAMHS services should consider teaching young people to recognise their own symptoms and impairments, and triggers for crises, to manage their mental health, and to participate in shared decision-making; this may improve outcomes following a gap or cessation of CAMHS/AMHS input. This may be especially important for those young people identified as at risk of disengagement. In a similar vein, it has been suggested that services should have easier re-entry policies (for example an open door policy) to help young people manage their mental health.Reference Tatlow-Golden, Gavin, McNamara, Singh, Ford and Paul23,Reference Turgay, Goodman, Asherson, Lasser, Babcock and Pucci24 Certainly, in this study, young people in the ‘not doing well’ group, reported struggles of trying to re-engage with AMHS when difficulties occurred following discharge from CAMHS or because of disengagement, leaving them with feelings of unmet need.
Unmet needs
A common concern raised by parents and young people (especially for those young people with more abnormal HADS scores or with a deteriorating trajectory of scores) was their perceived lack of support and ‘unmet need’ regardless of whether the young people had been discharged to primary care or AMHS. These identified unmet needs reflect findings from other research where young people in the average range of intellectual ability with ASD can fall short of criteria for access to community intellectual disability or more specialist ASD services as well as community mental health services.Reference Berney25,Reference Lake, Perry and Lunsky26 The findings from this study highlight the relevance of current guidelines to improve holistic support for young people and adults with ASD.27 Access to local community expertise around interpersonal support, advice and information, especially if the expertise includes working with young adults with ASD and their families to identify the young people’s particular strengths, goals, skills and needs, could help increase participation and reduce this unmet need.Reference Southby and Robinson28 Understanding the broader contexts of the young person, possibly beyond the scope of the appointment they are (or are not) attending and the factors that may be making engagement in medication, treatment and clinic appointments more challenging may highlight ways in which they need more support, or areas of priority for the young person at that time.
Strengths and limitations
The sample size is comparable with similar studies looking at mental health transition and is one of the largest for ASD transition research.Reference Singh, Paul, Ford, Kramer, Weaver and McLaren3,Reference Kirby, Baranek and Fox19 This study provides new insights in relation to young people's mental health and experiences over a crucial 3-year period during which the young people transferred from CAMHS. It is a secondary analysis of data collected during the Transition Longitudinal study.Reference Southby and Robinson28 Although we were not able to undertake in-depth interviews with this relatively large number of young people and parents, we were able to collate accounts from all participants (young people and parents) over a 3-year period using clinical notes and systematically collected information from the annual face-to-face follow-up visits. The comprehensive and consistently collected data has allowed an opportunity to gain some insight into these young people's lived experience of transition. The young people are a relatively young sample (aged 14–17 years at recruitment; 17–21 at final visit). Thus, although all young people were approaching or had experience of planning for or achieving transfer from CAMHS, 20 young people had not left CAMHS by the end of the study (including 4 participants who were over the age of 18 years). Further, we do not have follow-up information for any individuals over 21 years.
Implications
In conclusion, discharge from CAMHS could be seen as a new beginning for young people with ASD: moving on to further education opportunities; gaining an understanding about how to manage their mental health difficulties and acquiring adaptive life skills to address their developmental needs. However for others, ongoing mental health difficulties, social, emotional and relationship needs (particularly associated with ASD), and a feeling of lack of understanding and a perceived absence of professional understanding about their and their families’ level of unmet need with regard to both mental health and local authority services, contributed to a negative experience of transition and access to health and social care services.
In this study, a relatively small number of individuals had multiple negative experiences of service provision, struggled with engagement, felt unsupported, and presented with multiple crises over the study period. We propose that the use of a tool such as the HADS may be a useful adjunct for individuals and their supporting clinicians to identify patterns of mental health functioning over time; the monitoring may help identify those young people especially at risk of negative outcomes and crisis presentations. Successful transfer to AMHS is only one aspect of mental health support for some young people. However, whatever the adult healthcare provision all need access to expertise in ASD.
This study confirms the need to increase community practitioner clinical skills relevant to young people with ASD and additional mental health problems and highlights a need to take a holistic, person-centred approach to investigate whether or not there are any particular vulnerabilities for young people with mental health problems and without significant intellectual disabilities as they negotiate transition. The healthcare transition is one of many transitions young people with autism and mental health problems will be making, and they may be facing difficulties in their transition from education to employment, and finding appropriate goal-setting support.Reference Snell-Rood, Ruble, Kleinert, McGrew, Adams and Rodgers29
In particular, understanding families’ vulnerabilities is important for their successful transition. Our findings strongly support the potential benefit of a more nuanced approach to identifying and prioritising the needs of those young people at greatest risk of poor outcomes.Reference Broad, Sandhu, Sunderji and Charach20 Clinicians and other professionals with specialist expertise from children's and adult services could then support these young people and their families identify and prioritise their goals for timely community support before they are discharged from CAMHS.
Data availability
Authors have access to the original study data.
Author contributions
H.M., C.K. and A.LeC. led on the analysis and writing of this manuscript and all authors read and approved the final version. H.McC., J.R.P. and A.LeC. were co-applicants on RP-PG-0610-10112.
Funding
This article presents independent research funded by the National Institute for Health Research (NIHR) under the Programme Grants for Applied Research Programme: RP-PG-0610-10112. The views expressed in this article are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health.
Declaration of interest
None.
ICMJE forms are in the supplementary material, available online at https://doi.org/10.1192/bjo.2020.41.
Acknowledgements
The Transition Collaborative Group consists of the authors of this paper and other co-applicants: Angela Bate, Newcastle University; Caroline Bennett, Council for Disabled Children, London; Allan Colver, Newcastle University; Gail Dovey-Pearce, Northumbria Healthcare NHS Foundation Trust; Janet McDonagh, University of Manchester; Mark Pearce, Newcastle University; Tim Rapley, Northumbria University, Newcastle; Debbie Reape, Northumbria Healthcare NHS Foundation Trust; Luke Vale, Newcastle University; Advisors: Nichola Chater, Northumberland Tyne and Wear Mental Health NHS Trust; Helena Gleeson, Queen Elizabeth Hospital, Birmingham; Local investigators: Anastasia Bem, Norfolk and Norwich University Hospital; Stuart Bennett, Rake Lane Hospital, North Shields; Amanda Billson, Royal United Hospital Bath NHS Foundation Trust; Stephen Bruce, Rake Lane Hospital, North Shields; Tim Cheetham, Great North Children's Hospital, Newcastle; Diana Howlett, Sirona Care and Health, Bristol; Zilla Huma, Formerly Frimley Health NHS Foundation Trust; Mark Linden, Queens University Belfast; Maria Lohan, Queens University Belfast; Melanie Meek, Avon and Wiltshire Mental Health Partnership NHS Trust; Jenny Milne, Tyne, Esk and Wear Valley Mental Health NHS Trust; Julie Owens, Northumbria Healthcare NHS Foundation Trust; Fiona Regan, Frimley Health NHS Foundation Trust; Nandu Thalange, Norfolk and Norwich University Hospital.
Appendix Examples of themes and responses from the three Hospital Anxiety and Depression Scale trajectory groups
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