- Research article
- Open Access
- Open Peer Review
Clinical service use as people with Attention Deficit Hyperactivity Disorder transition into adolescence and adulthood: a prospective longitudinal study
https://doi.org/10.1186/s12913-016-1509-0
© The Author(s). 2016
- Received: 23 February 2016
- Accepted: 5 July 2016
- Published: 11 July 2016
Abstract
Background
While Attention Deficit Hyperactivity Disorder (ADHD) often persists into adulthood, little is known about the needs and service use among adolescents and young adults with ADHD. The present study followed-up a cohort diagnosed with ADHD as children and assessed their: 1) needs, 2) correlates of contact with clinical services, and 3) experiences of transition from child to adult health services.
Methods
Ninety one young people aged 14–24 were recruited from the UK subset of the International Multi-Centre ADHD Genetics (IMAGE) Project. Affected young people and parents conducted face-to-face interviews and self-completion questionnaires including a modified version of the Client Services Receipt Inventory, The Barkley’s ADHD rating scale, The Clinical Interview Schedule-Revised, and the Zarit Burden Interview. Changes in key need characteristics (e.g. ADHD symptoms and impairments) over a 3-year period were examined using fixed effect models. Generalised Estimating Equations (GEE) were used to explore how key characteristics (such as ADHD symptoms) were associated with contact with clinical services across the three years.
Results
At baseline 62 % met diagnostic criteria for ADHD and presented with a range of ADHD related impairments, psychiatric comorbidities, and significant caregiver burden. While ADHD symptoms and related impairments lessened significantly over the three years, psychiatric comorbidities and caregiver burden remained stable. The strongest correlate of contact with clinical services was age (OR 0.65 95 % CI 0.49–0.84) with the odds of reported contact with clinical services decreasing by 35 % for each year increase in age at baseline and by 25 % for each year increase in age over time. Only 9 % of the sample had experienced a transfer to adult services, with the majority reporting unmet needs in healthcare transition.
Conclusions
Despite continuing needs, few were in contact with adult health services or had received sufficient help with transition between child and adult health services. The main determinant of health service use for adolescents and young adults with ADHD is age – not needs. Service models should address the needs of ADHD individuals who are no longer children.
Keywords
- Clinical service use
- Attention deficit hyperactivity disorder
- Transition
- Adolescence
- Young adulthood
Background
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder (affecting 6–7 % of the population) that often persists into adulthood. Up to two-thirds of ADHD children still warrant the diagnosis in adulthood [1] and this significantly impacts on life [2, 3]. For instance, adults with ADHD are more likely than the general population to: 1) be unemployed [4] and experience more frequent job losses [4]; 2) under achieve in education [5]; 3) experience greater instability in emotional relationships [6]; 4) display anti-social and offending behaviours [7] and 5) suffer from drug abuse, anxiety and depression [8].
However, despite continuing symptoms and needs, few young adults with ADHD or their families are in receipt of treatments [9–12]. In fact, adolescents and young adults with ADHD are among those least likely to transfer from child to adult mental health services [13]. This is not due to a lack of clear recommendations for the management of ADHD in adulthood that now exist in several guidelines [14–17]. A number of interventions are available to support children and families affected by ADHD. For example, National Institute for Clinical Excellence (NICE) guidelines recommend parent training/education programs and psychological interventions such as CBT as the first-line treatment, with medication to be used in severe cases or where these treatments have proven ineffective [14]. In childhood, this support is normally provided by Child and Adolescent Mental Health Services (CAMHS).
Likely reasons for the low use of adult health services among those with ADHD include a lack of (or difficulty accessing) appropriate services during this transitional period alongside individual and caregiver factors that are unique to this developmental stage [18–22]. For example, adolescents’ increasing treatment drop-out and medication non-adherence rates may be attributable to both declining parental control over their health behaviour, and negative attitudes toward mental health treatment [18–21, 23, 24]. However, to date little research has been carried out into this issue (and, to our knowledge, no studies so far have investigated correlates of health services use among young people with a childhood diagnosis of ADHD now at the transition into adolescence and young adulthood).
The research that does exist has been carried out mostly in children with ADHD and has identified multiple factors that are associated with service use. These include high levels of caregiver burden, low levels of caregiver network support, comorbid psychiatric symptoms, functional impairments of the child and parent or teacher rated ADHD symptom severity [25–33]. A few studies have also reported on the association between the lower educational level of the mother and health services among children with ADHD [28, 29]; however, to date, there is scarce evidence relating to health service use among adolescents and young adults with ADHD. To our knowledge, only one previous study has examined correlates of health service use among adolescents with ADHD. This study reported on the follow-up of children with a high risk of ADHD status in the United States and found that increased parental network support, ADHD symptoms, caregiver burden and lower stigma perceptions among youth were independently associated with increased health service use [23]. However, as this study was limited to a small part of Florida it is not known whether these findings generalise to ADHD populations in Europe. Furthermore, as the above study used screening tools rather than diagnostic assessments to determine ADHD status, the findings may vary significantly when stricter diagnostic criteria are applied.
Nevertheless, there is prior evidence to suggest that factors other than clinical severity (such as ADHD symptom severity) may be more important for health service use among adolescents and young adults with ADHD. In one study, using the UK General Practice Research Database to examine prescriptions of drugs to ADHD patients aged 15–21 years, drug prescribing fell steeply at the age of 17 with an almost complete disengagement from services by the age of 21 [10]. It seems unlikely that such a sudden fall in drug prescribing is the result of an abrupt symptom remission, suggesting instead an important role played by age in influencing drug treatment. A better picture of what determines health service use among adolescents and young adults is therefore warranted and is vital not only to better design and implement appropriate and effective care programmes, but to support family members who are likely to be integral to the care of this patient group [34].
However, in order to devise appropriate interventions for adolescents and young adults with ADHD it is not only necessary to consider the correlates of health service use but also to identify the needs and unmet needs of young people with ADHD during this transitional period. Healthcare transition refers to the process that starts with preparing a patient to leave a health-care setting and finishes when the patient is received in the next setting [35]. NICE guidelines recommend that a person with ADHD receiving treatment and care from CAMHS or paediatric services should be reassessed at school leaving age to establish the need for continuing treatment into adulthood. If they continue to have significant symptoms of ADHD or other coexisting conditions that require treatment then arrangements should be made for a smooth transition to adult services with details of the anticipated treatment and services that they young person will require. While NICE states that the precise timing of arrangements may vary locally they recommend that this should be planned in advance and should usually be completed by the time the person is 18 years [14].
Although transition planning and management is recognised as a key element in the organisation and delivery of health services [36–38], for many young people with mental health problems, transition to adult health services is poorly planned, lacks co-ordination and results in discontinuity of care [39]. Given that most mental illnesses in adult life begin in adolescence, it has been reported that the current child-adult split in mental health services creates a systematic weakness when need is most pressing [39, 40], Furthermore, the situation for young people with ADHD has been identified as especially difficult [41]. For example, one study suggested that only about 15 % of young people with ADHD in England make the transition to adult services [42], further highlighting the challenges parents are likely to encounter in trying to support their children [34].
To date, very few studies have investigated healthcare transition among young people with ADHD. A recent scoping review of transition from child to adult mental health services for young people with ADHD identified only four studies which have sought to evaluate the journey of young people with ADHD between mental health services, despite a clear need for transition being identified [24]. More longitudinal studies and service evaluations are therefore warranted to truly understand and identify what is needed and currently available for successful transition to appropriate adult services for ADHD patients and to provide an overall picture to successful integration to adult services [24, 43, 44].
Therefore, for the first time, we explored the experiences of the healthcare transition (i.e. the process of moving from child to adult health services) from both the young person’s and parent’s perspectives and investigated both needs and contact with clinical services among those with a childhood diagnosis of ADHD who were now at transition to adolescence and young adulthood.
Methods
Design, setting and participants
This prospective longitudinal study was conducted at the young person’s family home in England or at the Institute of Psychiatry in London, with all travel expenses reimbursed. Around half of young people and their families lived in Greater London while the remainder were spread throughout England from Cornwall to Lincolnshire in the North East. All young people aged 14 to 24 in the IMAGE research database were invited by the research team to participate in the study. Young people and parents were each sent separate letters of invitation and information sheets explaining the study together with an update form to state their interest in the study together with a stamped addressed return envelope. Invitation letters and information sheets explained (i) the rationale of the study; (ii) what the study would involve (i.e., a face-to-face interview lasting about 2 h including the completion of a self-completion questionnaire, and a joint interview with both the parent and the young person assessing ADHD symptoms, needs, health service use and healthcare transition), and (iii) the confidential aspects of the study (i.e., that the young person and parent would remain blind to each other’s responses given during their individual interviews with the interviews being carried out in two separate rooms; that both the young person and the parent would be identified by a number and not by name; that the data gathered would remain confidential solely to be used for research purposes, and would not be shared with anyone apart from those directly involved in the research study).
We included 91 families consisting of young people aged 14 to 24 (n = 91) and one of their parents (mostly mothers, n = 91). Families were recruited through their child’s childhood clinical diagnosis of combined type ADHD from the UK subset of the International Multi-Centre ADHD Genetics (IMAGE) Project research database. Families had originally been recruited to the IMAGE study by referral from child and adolescent clinics in the southeast of England on the basis that they had received a clinical diagnosis of combined type ADHD (as defined in the DSM-IV) and had at least one surviving biological sibling aged 5–17 years of age. ADHD probands and their siblings were included in the IMAGE study if they were between the ages of 5–17, had an IQ of 70 or higher, were of European or Caucasian descent, and had at least one biological parent willing to provide DNA samples. As the IMAGE study was a molecular and genetic study participants were excluded if they had been diagnosed with: autism, epilepsy, IQ below 70, brain disorders, and/or any genetic or medical disorder associated with externalising behaviours that might mimic ADHD based on both history and clinical assessment.
Families were followed-up over a 3 year period with data collection beginning in March 2009 and ending in January 2013, with an average follow-up time of 2.35 years (SD = 0.89). Significant efforts were placed on participant retention, for instance repeated attempts to contact families. Thus only 18 % (17/91) of our sample contributed only one year’s observation (n = 15) or did not have young person-parent interviews for at least two waves (n = 2). Diagnostic threshold for ADHD was defined using the informant version of the Barkley’s ADHD rating scale for adults [45] with scores of 6 or greater being defined as exceeding the DSM-IV threshold and thus being clinically significant. We also measured ADHD symptoms at the start of the study using the DIVA [46], a diagnostic interview measure for adults with ADHD recommended by the European ADHD Consensus group [15]. A comparison of the DIVA and Barkley’s scale showed no significant difference in those who met the diagnostic threshold for ADHD at baseline (72 % versus 62 % respectively, χ2 = 3.35, p = 0.07).
Measures
Face-to-face structured interviews and self-completion questionnaires were administered to both the young person and their parent at each time point. We used the Andersen-Newman behavioural model of service use to investigate correlates of clinical service use [47, 48]. The Andersen-Newman model is an established framework widely used by health economists, psychologists, and medical sociologists to explain patterns of service utilisation among diverse populations [49, 50]. The model conceptualises service use as a function of predisposing (such as the person’s age), enabling (such as parental education) and need factors (such as the frequency and severity of ADHD related symptoms and impairments, psychiatric comorbidities, and caregiver burden).
We used a modified version of the Client Services Receipt Inventory (CSRI) to capture service use and transitions from child to adult services [51]. This version was adapted by Beecham and co-authors in 2009 to young people with ADHD and included a series of questions on service use and transitions. We asked the young person and his/her parent whether the young person was being seen by child or adult health services, with those answering yes categorised as being in contact with clinical services (coded as 1). As relatively few were in contact with services it was necessary to combine those in touch with any type of services into one category. Other questions included whether the service was a child, adult or non-age specific service, if they had moved (or were currently planning a move) from a child to an adult health service, and if they had received (or were currently receiving) any support from health services in regards to moving to adult health services. The nature of, and need for, support from services was also captured including whether young people and parents were satisfied with the support received during the move from child to adult services. Detailed questions regarding help received or needed were also asked of both young people and parents with responses recorded in terms of help not needed yet, got enough help, and needed or need more help. Finally, young people and parents were asked to give an overall rating of services they had received to indicate if they were very satisfied, satisfied, not satisfied, or not at all satisfied.
We also used the modified version of the CSRI to capture predisposing and enabling factors. Measures included the socio-economic and demographic backgrounds of both the young person and parent. We considered age to be a predisposing characteristic and parent’s education, an enabling factor. Parent’s education was categorised into two groups: those with low educational levels (i.e. A levels/higher education certificate or below) versus those with high educational levels (i.e. higher education diploma or above).
We used several different measures of need including indicators of the severity and frequency of ADHD symptoms and related impairments, psychiatric comorbidities, and parent caregiver burden. We used the informant version of the Barkley’s ADHD rating scale for adults administered to the parent to measure current (i.e. in the previous six months) ADHD symptoms (as described above) and related impairments [45]. This scale measures ADHD related impairments across 10 different areas of functioning including home life, occupation, social interactions, education, driving, money management, leisure time and routine daily responsibilities. The parent was asked to rate the frequency and severity of their child’s current impairments with scores on a 4 point scale ranging from 0 to 3 capturing the severity and frequency of the behaviours representing ‘not at all or rarely’,’sometimes’, ‘often’ and ‘very often’. For those parents who responded ‘often’ and ‘very often’ their children were categorised as having a difficulty in that area in contrast to all others who were categorised as not having a difficulty. As some young people were or had been on medication for ADHD symptoms in the previous six months, we asked the parent to report ADHD symptoms as if their child was off medication to minimise under or over reporting of symptoms.
Psychiatric co-morbidities were assessed using The Clinical Interview Schedule-Revised (CIS-R) [52], a standardised, valid, and reliable structured diagnostic instrument used for rating psychiatric symptoms in both clinical and general adult populations both clinical and general adult populations [53, 54]. This was administered to the young person to assess symptoms across 14 domains (e.g., anxiety, depression). Symptoms are regarded as severe when the score is 2 or more on each section with a total score of 12 or more being regarded as a clinically significant indicator of general mental health problems [52]. This instrument was used as to our knowledge there is no single measure of psychiatric comorbidities for use in both adolescent and adult populations.
Caregiver burden was measured using the Zarit Burden Interview—12 Item [55]. It captures the psychological and social impact of caring, and asked parents to rate the extent to which they agreed or disagreed with statements regarding their feelings about the results of caring for their child on a five-point scale, with possible responses ranging from 0 (“never”) to 4 (“nearly always”). A total score (0–48) was calculated by summing the scores for each question [55]. This short-form version of the scale has been shown to have excellent reliability and validity [56].
Analyses
Descriptive statistics at baseline were produced to explore the demographic characteristics of the sample, need characteristics, experiences of healthcare transition and contact with clinical services. Logistic regression was conducted to investigate the predisposing, enabling and need factors associated with contact with clinical services (that is, whether or not the young person was in contact with child, adult or non-age specific services at baseline). In this and all subsequent models (described below) the score reflecting the frequency and severity of ADHD symptoms was used rather than the binary measure capturing whether participants scored above or below the threshold for ADHD.
Longitudinal analyses were then conducted on the 74 families with young person-parent interviews for at least 2 time points: with young person-parent interviews at either all three waves (n = 53), or at least two waves (n = 21). Analyses (not shown) found no significant differences in any of the key characteristics between the 17 young people who were not included in the analysis for the reasons previously stated and the 74 who were. Fixed effects models were used to examine changes in key need characteristics (e.g. ADHD symptoms and impairments) over the 3-year period. We also used Generalised Estimating Equations (GEE) to explore how key characteristics (such as ADHD symptoms) were associated with contact with clinical services across the three years [57]. In doing this, the young person’s age at the start of the study (whether at wave 1 or 2) was used and the same information as described above on symptoms, impairments, psychiatric co-morbidities and caregiver burden in each of the three years. As service use is a binary outcome, a binomial distribution with a logit link was the appropriate combination (we also chose an exchange correlation structure). The types of longitudinal analyses described above are based on the number of observations rather than the number of subjects. Thus, there are 201 observations all together as 53 people contributed 159 observations (each with 3 waves of data) and 21 people contributed 42 observations (each with 2 waves of data).
The following procedure was used to account for missing data. Where less than 10 % of responses were missing for a given measure, the value was imputed from the mode of the answered questions. If more than 10 % of answers were missing from any outcome measure all data for that carer-young person pair was excluded from the analysis.
All analyses were conducted using SAS (version 9.2).
Results
Sample characteristics AT baseline
Descriptive Characteristics of Study Sample and Variables (n = 89)
Variable | Missing (n) | |||
|---|---|---|---|---|
% | Mean (SD) | Range | n | |
YP (Young person) Age | 17.65 (2.41) | 14–24 | 0 | |
YP Male | 90 | 0 | ||
YP White or White British | 100 | 0 | ||
YP Education | 4 | |||
Full-time | 58 | |||
Part-time | 8 | |||
Not in education | 34 | |||
PR (Parent) Education | 5 | |||
Low | 62 | |||
High | 38 | |||
YP Accommodation | 4 | |||
Family home | 85 | |||
Other | 15 | |||
YP ADHD symptoms (parent report) | 10.74 (4.69) | 0–18 | 2 | |
YP ADHD symptoms above cut-off DSM-IV diagnostic threshold (parent report) | 62 | 2 | ||
YP ADHD impairments (parent report) | 4.56 (2.73) | 0–10 | 3 | |
YP any ADHD impairments (parent report) | 91 | 3 | ||
YP CISR | 7.75 (6.42) | 0–29 | 5 | |
YP CISR above cut-off (>12) | 25 | 5 | ||
PR Zarit Caregiver Burden | 17.58 (9.39) | 0–38 | 5 | |
YP In contact with services | 55 | 3 | ||
Children’s service | 31 | |||
Adult service | 9 | |||
ADHD service all ages | 15 | |||
ADHD symptoms and impairments
The majority (62 %) of young people at baseline met DSM-IV criteria for ADHD (Table 1). Ninety one percent of the baseline sample reported ADHD related impairments in at least one activity (Table 1). Overall, around two-thirds of parents reported significant impairments in their child’s management of daily responsibilities, home life, educational activities and money management; half reported impairments among their children related to work (data not shown).
Associated psychiatric symptoms
Twenty five percent of young people at baseline scored above cut-off (score >12) on the CIS-R, indicating the likelihood of comorbid psychopathology. For example, close to a third of young people reported significant levels of worry and over one in four reported significant levels of depression (data not shown).
Contact with clinical services
Despite a high prevalence of ADHD and associated mental health symptoms, 45 % of young people were no longer in contact with clinical services at baseline. 31 % were still in contact with children’s health services and close to 1 in 6 (15 %) reported attending an ADHD service without age boundaries (Table 1).
Experience of healthcare transition at baseline
Nine percent (n = 8) of young people reported having experienced a transfer to adult care or were currently receiving help from services in preparing for this move. Only one family out of the total sample at baseline reported having received a written transition plan as recommended in clinical guidelines. Moreover, approximately 75 % of young people and parents reported that a professional had not spoken to them about the move from child to adult services, and the 25 % who responded that a professional had spoken to them about this reported that it had been only a brief conversation. Around half of all young people (and two-thirds of all parents) reported a need for more support from services in: 1) accessing information regarding which services are available when they grow up; 2) the co-ordination of transition planning, and 3) and having someone to talk to about their practical as well as emotional needs. Analyses showed no age-related differences in young person’s and parents’ experiences of transition or support received from health services in regards to moving to adult health services.
Correlates of contact with clinical services
Contact with clinical services by predisposing, enabling and need factors at baseline (n = 89)
Variable | In contact with clinical services | Sign. Test | |
|---|---|---|---|
Yes | No | ||
Predisposing | Mean (S.D.) or n (%) as appropriate | ||
YP age | 16.96 (2.17) | 18.55 (2.49) | df = 84, t = 3.17 (p = 0.002) |
Enabling | |||
PR - Education | |||
Low | 28 (55) | 23 (45) | df = 1, χ2 = 0.02 (p = 0.88) |
High | 17 (57) | 13 (43) | |
Need | |||
YP met diagnostic threshold for ADHD (parent report) | 32 (38) | 21 (40) | df = 1, χ2 = 1.83 (p = 0.0.18) |
YP not meet diagnostic threshold for ADHD (parent report) | 14 (45) | 17 (55) | |
YP ADHD Impairments (parent report) | 5.07 (2.74) | 3.84 (2.64) | df = 81, t = -2.06 (p = 0.04) |
YP Psychiatric comorbidity (CISR) | 8.70 (6.73) | 6.54 (5.86) | df = 82, t = -1.55 (p = 0.13) |
PR Caregiver burden | 19.34 (10.39) | 16.19 (7.88) | df = 79, t = -1.51 (p = 0.09) |
Multivariate binary logistic regression model for contact with clinical service at baseline (n = 76)
Predictors | Unadjusted OR | 95 % Confidence Intervals | Adjusted OR | 95 % Confidence Intervals | ||
|---|---|---|---|---|---|---|
YP Age | 0.75** | 0.61 | 0.91 | 0.64** | 0.49 | 0.84 |
PR education | 0.93 | 0.37 | 2.31 | 0.49 | 0.15 | 1.58 |
YP ADHD Symptoms (parent report) | 1.09 | 0.99 | 1.20 | 0.89 | 0.76 | 1.05 |
YP ADHD Impairment (parent report) | 1.19* | 1.00 | 1.40 | 1.37* | 1.04 | 1.81 |
YP Psychiatric comorbidity (CISR) | 1.06 | 0.98 | 1.14 | 1.05 | 0.96 | 1.15 |
YP Caregiver burden | 1.04 | 0.99 | 1.09 | 1.03 | 0.97 | 1.11 |
Changes over time in contact with clinical services
Changes in key need characteristics over time fixed effects model (n = 201)
Survey Waves | ||||
|---|---|---|---|---|
Variables | Baseline | Wave 2 | Wave 3 | F test (p) |
YP ADHD symptoms (parent report) | 11.07 | 9.56 | 8.51 | 10.05 (p < .000) |
YP ADHD Impairments (parent report) | 4.49 | 4.00 | 3.44 | 4.54 (p = 0.013) |
YP Psychiatric comorbidity (CISR) | 8.56 | 8.11 | 7.27 | 1.23 (p = 0.295) |
PR Caregiver burden | 17.79 | 14.98 | 15.95 | 3.27 (p = 0.042) |
YP Service use | 0.59 | 0.36 | 0.43 | 6.91 (p = 0.001) |
Odds ratios from GEE models for contact with clinical services (n = 180)
Predictors | Unadjusted ORs | 95 % Confidence Intervals for ORs | Adjusted ORs | 95 % Confidence Intervals for ORs | ||
|---|---|---|---|---|---|---|
YP age at start | 0.74** | 0.63 | 0.87 | 0.75** | 0.62 | 0.90 |
Year 1 | 1.90* | 1.06 | 3.38 | 1.73 | 0.90 | 3.37 |
Year 2 | 0.74 | 0.44 | 1.22 | 0.62 | 0.32 | 1.18 |
PR Education start | 0.89 | 0.42 | 1.86 | 1.22 | 0.54 | 2.76 |
YP ADHD symptoms | 1.05 | 0.99 | 1.12 | 0.98 | 0.89 | 1.08 |
YP ADHD Impairment | 1.07 | 0.98 | 1.17 | 1.06 | 0.92 | 1.23 |
YP Psychiatric comorbidity (parent report) | 0.99 | 0.96 | 1.03 | 1.00 | 0.96 | 1.04 |
PR Caregiver burden | 1.02 | 0.99 | 1.04 | 1.01 | 0.99 | 1.03 |
Discussion
To our knowledge, this is the first longitudinal analysis of needs and services use among adolescents and young adults with a childhood diagnosis of ADHD. A key strength of our study includes the high retention rate (that is, 81 % of our sample had both young person-parent interviews for at least two study waves) and the use of face-to-face interviews using reliable diagnostic and outcome measures. Moreover, our use of separate face-to-face interviews with young people and their parents enabled us to gain a more comprehensive picture of the wide range of needs among this group. Another strength lies in our consideration of multiple potential factors that may be associated with contact with clinical services. This allowed us to better quantify the relative, and independent, contribution of various factors that influence service use among this clinical group. Last, our exploration of young people’s (and their parents’) experiences of healthcare transition, enabled us to identify unmet needs in healthcare delivery from the perspectives of both the affected young person and their carers, e.g. insufficient access to information, lack of co-ordination of transition, and insufficient attention to the individual needs of young people and parents.
Our finding that close to two-thirds of adolescents still warranted DSM-IV diagnostic criteria at the start of the study is comparable to a previous findings on threshold and subthreshold cases of ADHD [1]. Similarly, previous studies have established that there are developmental changes in the presentation of ADHD as seen during the course of the present study [2]. ADHD symptoms and related impairments declined during adolescence and young adulthood; however, in a significant number of cases these symptoms persisted and are likely to cause great problems to young adults [61]. For example, earlier studies have shown that when hyperactive-impulsive symptoms do persist into adulthood they can be particularly impairing, for example being seen in adult ADHD patients with addiction [62] or forensic problems. It is therefore crucial that clinicians gain a full understanding of the needs of young people during the transition from child to adult ADHD. Moreover, as our study shows there are also significant psychiatric comorbidities and caregiver burden during this transitional period which do not appear to decline, emphasising the challenges parents are likely to encounter in trying to support their children between childhood and adulthood [34]. There is high familiality of ADHD (with approximately 20 % of parents of children with ADHD having ADHD themselves and who are thus likely to also require support) [33] and therefore both child and adult clinical service providers should be mindful of the impact of possible parental ADHD on the transition process and provide clear structured support to families in transition [12].
The results of this study suggest that irrespective of the severity of ADHD symptoms, impairments, comorbidities and carer burden, contact with health services among adolescents and young adults with ADHD is mainly determined by age. The only other factor that was associated with service use was impairments. This may be caused, at least in part, to a lessening of parental control over treatments during the transition from adolescence to young adulthood which may lead to a further elevation of functional impairment or ADHD symptoms. Such declines in impairments may result in further difficulties in managing time and appointments which in turn are likely to increase the risk of disengagement with services [24]. It is important that services across all age groups are based on the needs of individuals and are dependent on goals and methods of treatment that are both meaningful and motivating for the individual [63]. This requires not only a full understanding of the needs of young people but that young people are offered choice in treatment. For example, prior studies have indicated that adolescents and young adults may prefer to communicate with their health professionals via email or text rather than speak over the phone or attend face-to-face appointments [64], and clinicians working with young people with ADHD may wish to identify those most likely to benefit from interventions from home through the use of screening measures [64].
We found that only 9 % had transferred to adult services (or received transition planning) which is broadly in keeping with a recent audit of transitional care for adolescents with ADHD in a North West England district which found that only about 15 % of young people made the transition [42]. In addition, our study found that half of all young people (and two-thirds of all parents) reported a need for more support from services in: 1) accessing information regarding which services are available when they grow up; 2) the co-ordination of transition planning; and 3) and having someone to talk to about their practical as well as emotional needs [13]. We suggest that one way to improve healthcare transitions for this group is to ensure transition protocols contain specific guidance for implementation at ground level so that they can be effectively translated into practice. These may include psycho-educational material for both young people and parents to ensure that they have access to comprehensive, impartial and appropriately written information regarding ADHD and the transition process. To improve transition planning and co-ordination, these should be developed jointly with child and adult teams and service users to ensure that sufficient attention is given to the individual concerns of young people and parents and that joint working arrangements between child and adult services are put into place [65]. Finally, we recommend that clinicians in child and adolescent services and adult services develop a feedback mechanism to better enable clinicians in child and adolescent services to be informed of the results of the transition, and clinicians in adult services to monitor how well recently transferred patients follow transition plans.
However, it is also important to acknowledge that one of the main reasons for the lack of a transition may be the lack of appropriate adult services. There are limited ADHD-specific services for adults [66], therefore the only source of support may be adult mental health services. However, given the fiscal constraints on the NHS, young people are only likely to become eligible for transition into adult Community Mental Health Teams (CMHTs) if they are suffering from significantly impairing co-morbid mental health problems [67]. Thus in addition to the above recommendations of additional information and planning, what may also be required is a redesign and investment in services for young adults with ADHD. Promising options include increasing the age-threshold of child services so that young people could continue to be supported through these key transitional years, or creating specific ADHD services for all ages [39].
Our study does have some limitations. Given that individuals in our sample had been in contact with child and adolescent mental health services in childhood, and were also participants in research studies of ADHD, our findings may not generalise to the wider population. However, given such previous experience we would expect the individuals in our sample to be more knowledgeable and motivated to access services and thus suggest that the situation in regards to transition may be even worse in the general population. Prior contact with such child and adolescent mental health services may also have resulted in a bias toward presenting with higher levels of psychological problems at follow-up in comparison to those with no previous contact with mental health services. Nevertheless, rates of psychiatric comorbidity in our study are consistent with those reported in previous studies of ADHD [68–70].
Furthermore, as only those with a childhood IQ over 70 were included it is possible that our findings represent an under-estimate of needs among those with intellectual disabilities. This is important as previous studies have shown that adults with borderline and mild intellectual disability (ID) may have more impairments and more severe ADHD symptoms in adulthood when compared to those with ADHD but no ID [71].
In addition, as this study was initially selected for genetic studies and is thus an all-White one it is not possible to say how representative the current findings are for women and/or ethnic minorities. As previous studies have indicated, there are significant variations in service use by gender and ethnicity among young people with ADHD [72–74], which may also lead to differing health beliefs and attitudes towards help-seeking. Therefore future studies may benefit from examining the role of gender, ethnicity, learning difficulties and health beliefs on needs and services use among this group.
Conclusions
Despite continuing needs, few ADHD adolescents and young adults are in contact with health services. Currently, the main determinant of health service use among this group is age – not needs. Service models should address the needs of ADHD individuals who are no longer children and improve the planning, co-ordination and continuity of healthcare during the transition to adult services to reduce the long-term health, social and economic consequences of untreated ADHD [14].
Abbreviations
ADHD, attention deficit hyperactivity disorder; CIS-R, clinical interview schedule-revised; CSRI, client services receipt inventory; DSM-IV, Diagnostic and Statistical Manual of Mental Disorders- Fourth Edition; GEE, generalised estimating equations; ID, intellectual disability; IMAGE, International Multi-Centre ADHD Genetics Project; SAS, statistical analysis system
Declarations
Acknowledgments
The authors would like to thank all the individuals and families who participated in this study for their time and dedication.
Funding
This research was funded by the National Institute for Health (NIHR) Programme Grants for Applied Research (PgfAR) (RP-PG-0606-1045) , a Medical Research Council (MRC) programme grant (GO400061) and ongoing support from the Mortimer D Sackler Foundation. The authors alone bear responsibility for the collection, analysis and interpretation of the data.
Availability of data and materials
The datasets on which the conclusions of this paper rely are presented in additional supporting files.
Author's contribution
HE, PA, JB, KX, DM and KG were responsible for the study concept and design. DM, PA, K.G. obtained funding. HE, DH, TC, JF and HH collected the data and HE and KG. co-ordinated the project. HE, TC, JF set up data for analysis and HE led the analysis and interpretation of data. HE and KG drafted the manuscript. All authors read and approved the final manuscript
Competing interests
The authors declare that they have no competing interests.
Consent for publication
Not applicable.
Ethics approval and consent to participate
This study was performed in accordance with the Declaration of Helsinki and was approved by the Ethics committee of the South London and Maudsley NHS Trust and Institute of Psychiatry (Study No: 08/H0807/68). All participants provided written consent. Those participants over the age of 16 years provided sole informed consent whilst all younger participants required both personal and parental consent. All participants were made aware they were free to withdraw their data at any time during the course of the study.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Authors’ Affiliations
References
- Simon V, Czobor P, Balint S, Meszaros A, Bitter I. Prevalence and correlates of adult attention-deficit hyperactivity disorder: Meta-analysis. Br J Psychiatry. 2009;194(3):204–11.View ArticlePubMedGoogle Scholar
- Faraone SV, Biederman J, Mick E. The age-dependent decline of attention deficit hyperactivity disorder: a meta-analysis of follow-up studies. Psychol Med. 2006;36(2):159–65.View ArticlePubMedGoogle Scholar
- Cadman T, Findon J, Eklund H, et al. Six-year follow-up study of combined type ADHD from childhood to young adulthood: Predictors of functional impairment and comorbid symptoms. Eur Psychiatry. 2016;35:47–54.Google Scholar
- Biederman J, Faraone SV, Spencer TJ, Mick E, Monuteaux MC, Aleardi M. Functional impairments in adults with self-reports of diagnosed ADHD: A controlled study of 1001 adults in the community. J Clin Psychiatry. 2006;67(4):524–40.View ArticlePubMedGoogle Scholar
- Biederman J, Petty CR, Fried R, et al. Educational and occupational underattainment in adults with attention-deficit/hyperactivity disorder: a controlled study. J Clin Psychiatry. 2008;69(8):1217–22.View ArticlePubMedGoogle Scholar
- Eakin L, Minde K, Hechtman L, et al. The marital and family functioning of adults with ADHD and their spouses. J Atten Disord. 2004;8(1):1–10.View ArticlePubMedGoogle Scholar
- Barkley RA, Fischer M, Smallish L, Fletcher K. Young adult follow-up of hyperactive children: antisocial activities and drug use. J Child Psychol Psychiatry. 2004;45(2):195–211.View ArticlePubMedGoogle Scholar
- Kessler RC, Adler L, Barkley R, et al. The prevalence and correlates of adult ADHD in the United States: results from the National Comorbidity Survey Replication. Am J Psychiatr. 2006;163(4):716–23.View ArticlePubMedPubMed CentralGoogle Scholar
- Marcer H, Finlay F, Baverstock A. ADHD and transition to adult services—the experience of community paediatricians. Child Care Health Dev. 2008;34(5):564–6.View ArticlePubMedGoogle Scholar
- McCarthy S, Asherson P, Coghill D, et al. Attention-deficit hyperactivity disorder: treatment discontinuation in adolescents and young adults. Br J Psychiatry. 2009;194(3):273–7.View ArticlePubMedGoogle Scholar
- Taylor N, Fauset A, Harpin V. Young adults with ADHD: an analysis of their service needs on transfer to adult services. Arch Dis Child. 2010;95(7):513–7.View ArticlePubMedGoogle Scholar
- Young S, Murphy CM, Coghill D. Avoiding the ‘twilight zone’: Recommendations for the transition of services from adolescence to adulthood for young people with ADHD. BMC Psychiatry. 2011;11:174.Google Scholar
- Singh SP, Paul M, Ford T, et al. Process, outcome and experience of transition from child to adult mental healthcare: multiperspective study. Br J Psychiatry. 2010;197(4):305–12.View ArticlePubMedGoogle Scholar
- NICE. Diagnosis and management of ADHD in children, young people and adults. London: NICE; 2008.Google Scholar
- Kooij S, Bejerot S, Blackwell A, et al. European consensus statement on diagnosis and treatment of adult ADHD: The European Network Adult ADHD. BMC Psychiatry. 2010;10(1):67.View ArticlePubMedPubMed CentralGoogle Scholar
- Nutt D, Fone K, Asherson P, et al. Evidence-based guidelines for management of attention-deficit/hyperactivity disorder in adolescents in transition to adult services and in adults: recommendations from the British Association for Psychopharmacology. J Psychopharmacol (Oxford, England). 2007;21(1):10–41.View ArticleGoogle Scholar
- Bolea-Alamañac B, Nutt DJ, Adamou M, et al. Evidence-based guidelines for the pharmacological management of attention deficit hyperactivity disorder: Update on recommendations from the British Association for Psychopharmacology. J Psychopharmacol (Oxf). 2014;28(3):179–203.View ArticleGoogle Scholar
- Biddle L, Donovan JL, Gunnell D, Sharp D. Young adults’ perceptions of GPs as a help source for mental distress: a qualitative study. Br J Gen Pract. 2006;56(533):924–31.PubMedPubMed CentralGoogle Scholar
- Eisenberg D, Golberstein E, Gollust SE. Help-seeking and access to mental health care in a university student population. Med Care. 2007;45(7):594–601.View ArticlePubMedGoogle Scholar
- Owens PL, Hoagwood K, Horwitz SM, et al. Barriers to children’s mental health services. J Am Acad Child Adolesc Psychiatry. 2002;41(6):731–8.View ArticlePubMedGoogle Scholar
- Rickwood DJ, Deane FP, Wilson CJ. When and how do young people seek professional help for mental health problems? Med J Aust. 2007;187(7):S35–9.PubMedGoogle Scholar
- Matheson L, Asherson P, Wong IC, et al. Adult ADHD patient experiences of impairment, service provision and clinical management in England: a qualitative study. BMC Health Serv Res. 2013;13:184.View ArticlePubMedPubMed CentralGoogle Scholar
- Bussing R, Meyer J, Zima B, Mason D, Gary F, Garvan C. Childhood ADHD symptoms: association with parental social networks and mental health service use during adolescence. Int J Environ Res Public Health. 2015;12(9):11893.View ArticlePubMedPubMed CentralGoogle Scholar
- Swift KD, Sayal K, Hollis C. ADHD and transitions to adult mental health services: a scoping review. Child Care Health Dev. 2014;40(6):775–86.View ArticlePubMedGoogle Scholar
- Angold A, Messer SC, Stangl D, Farmer EM, Costello EJ, Burns BJ. Perceived parental burden and service use for child and adolescent psychiatric disorders. Am J Public Health. 1998;88(1):75–80.View ArticlePubMedPubMed CentralGoogle Scholar
- Bussing R, Zima BT, Gary FA, et al. Social networks, caregiver strain, and utilization of mental health services among elementary school students at high risk for ADHD. J Am Acad Child Adolesc Psychiatry. 2003;42(7):842–50.View ArticlePubMedGoogle Scholar
- Leaf PJ, Alegria M, Cohen P, et al. Mental health service use in the community and schools: results from the four-community MECA Study. Methods for the Epidemiology of Child and Adolescent Mental Disorders Study. J Am Acad Child Adolesc Psychiatry. 1996;35(7):889–97.View ArticlePubMedGoogle Scholar
- Bruijnzeels MA, van der Wouden JC, Foets M. General practice consultation in childhood in The Netherlands: sociodemographic variation. J Epidemiol Community Health. 1995;49(5):532–3.View ArticlePubMedPubMed CentralGoogle Scholar
- Zahner GE, Daskalakis C. Factors associated with mental health, general health, and school-based service use for child psychopathology. Am J Public Health. 1997;87(9):1440–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Sawyer MG, Rey JM, Arney FM, Whitham JN, Clark JJ, Baghurst PA. Use of health and school-based services in Australia by young people with attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 2004;43(11):1355–63.View ArticlePubMedGoogle Scholar
- Sayal K, Ford T, Goodman R. Trends in recognition of and service use for attention-deficit hyperactivity disorder in Britain, 1999–2004. Psychiatr Serv. 2010;61(8):803–10.View ArticlePubMedGoogle Scholar
- Sourander A, Santalahti P, Haavisto A, Piha J, Ikäheimo K, Helenius H. Have there been changes in children’s psychiatric symptoms and mental health service use? A 10-year comparison from Finland. J Am Acad Child Adolesc Psychiatry. 2004;43(9):1134–45.View ArticlePubMedGoogle Scholar
- Sayal K, Mills J, White K, Merrell C, Tymms P. Predictors of and barriers to service use for children at risk of ADHD: longitudinal study. Eur Child Adolesc Psychiatry. 2015;24(5):545–52.View ArticlePubMedGoogle Scholar
- Cadman T, Eklund H, Howley D, et al. Caregiver burden as people with autism spectrum disorder and attention-deficit/hyperactivity disorder transition into adolescence and adulthood in the United Kingdom. J Am Acad Child Adolesc Psychiatry. 2012;51(9):879–88.View ArticlePubMedGoogle Scholar
- Coleman EA, Berenson RA. Lost in transition: challenges and opportunities for improving the quality of transitional Care. Ann Intern Med. 2004;141(7):533–6.View ArticlePubMedGoogle Scholar
- AACAP, Greenhill LL, Pliszka S, et al. Practice parameter for the use of stimulant medications in the treatment of children, adolescents and adults. J. Am. Acad. Child Adolesc. Psychiatry. 2002;(41):26S–49S.Google Scholar
- Reiss W, Gibson R. Health care transition: Destinations unknown. Pediatrics. 2002;110:1307–14.PubMedGoogle Scholar
- Appleton S, Pugh K. Planning Mental Health Services for Young Adults – Improving Transition: A Resource for Health and Social Care Commissioners. 2011.Google Scholar
- Singh SP. Transition of care from child to adult mental health services: the great divide. Curr Opin Psychiatry. 2009;22(4):386–90.View ArticlePubMedGoogle Scholar
- McGorry PD. The specialist youth mental health model: strengthening the weakest link in the public mental health system. Med J Aust. 2007;187(7 Suppl):S53–6.PubMedGoogle Scholar
- Singh SP, Paul M, Ford T, Kramer T, Weaver T. Transitions of care from Child and Adolescent Mental Health Services to Adult Mental Health Services (TRACK Study): a study of protocols in Greater London. BMC Health Serv Res. 2008;8:135.View ArticlePubMedPubMed CentralGoogle Scholar
- Ogundele M, Omenaka I. An audit of transitional care for adolescents with ADHD in a North West England district. Arch Dis Child. 2012;97 Suppl 1:A129.Google Scholar
- Hall CL, Newell K, Taylor J, Sayal K, Hollis C. Services for young people with attention deficit/hyperactivity disorder transitioning from child to adult mental health services: a national survey of mental health trusts in England. J Psychopharmacol (Oxf). 2015;29(1):39–42.View ArticleGoogle Scholar
- Swift KD, Hall CL, Marimuttu V, Redstone L, Sayal K, Hollis C. Transition to adult mental health services for young people with Attention Deficit/Hyperactivity Disorder (ADHD): A qualitative analysis of their experiences. BMC Psychiatry. 2013;13(74):74.Google Scholar
- Barkley RA, Murphy KR. Attention-deficit hyperactivity disorder. A clinical workbook. 2nd ed. New York: Guildford; 1998.Google Scholar
- Kooij S, Francken M. Diagnostic Interview for Adhd (DIVA) in adults. 2007.Google Scholar
- Andersen RM. Revisiting the behavioral model and access to medical care: does it matter? J Health Soc Behav. 1995;36(1):1–10.View ArticlePubMedGoogle Scholar
- Andersen R, Newman JF. Societal and individual determinants of medical care utilization in the United States. Milbank Mem Fund Q Health Soc. 1973;51(1):95–124.View ArticlePubMedGoogle Scholar
- Fosu GB. Childhood morbidity and health services utilization: cross-national comparisons of user-related factors from DHS data. Soc Sci Med. 1994;38(9):1209–20.View ArticlePubMedGoogle Scholar
- Smith SR, Kirking DM. Access and use of medications in HIV disease. Health Serv Res. 1999;34(1 Pt 1):123–44.PubMedPubMed CentralGoogle Scholar
- Beecham JKM. Costing Psychiatric Interventions. In: Thornicroft G, Brewin C, and Wing J, ed. Measuring Mental Health Needs. London: Gaskell; 1992:170–190.Google Scholar
- Lewis G, Pelosi AJ, Araya R, Dunn G. Measuring psychiatric disorder in the community: a standardized assessment for use by lay interviewers. Psychol Med. 1992;22(2):465–86.View ArticlePubMedGoogle Scholar
- Bebbington P, Brugha T, Coid J, et al. Adult psychiatric morbidity in England, 2007: Results of a household survey. The Health & Social Care Information Centre, Social Care Statistics; 2009.Google Scholar
- Deb S, Burns J. Neuropsychiatric consequences of traumatic brain injury: A comparison between two age groups. Brain Inj. 2007;21(3):301–7.View ArticlePubMedGoogle Scholar
- Zarit SH, Reever KE, Bach-Peterson J. Relatives of the impaired elderly: correlates of feelings of burden. Gerontologist. 1980;20(6):649–55.View ArticlePubMedGoogle Scholar
- Higginson IJ, Gao W, Jackson D, Murray J, Harding R. Short-form Zarit Caregiver Burden Interviews were valid in advanced conditions. J Clin Epidemiol. 2010;63(5):535–42.View ArticlePubMedGoogle Scholar
- Hardin JW. Generalized Estimating Equations (GEE). Encyclopedia of Statistics in Behavioral Science. John Wiley & Sons, Ltd; 2005.Google Scholar
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (Text Revision): DMS-IV-TR. Arlington: American Psychiatric Publishing Inc; 2000.View ArticleGoogle Scholar
- Biederman J, Mick E, Faraone S, et al. Influence of gender on attention deficit hyperactivity disorder in children referred to a psychiatric clinic. Am J Psychiatr. 2002;159(1):36–42.View ArticlePubMedGoogle Scholar
- Barkley R, Murphy KR. Attention Deficit Hyperactivity Disorder: A Clinical Workbook. Thirdth ed. New York: Guildford Press; 2006.Google Scholar
- Biederman J, Mick E, Faraone S. Age-dependent decline of symptoms of attention deficit hyperactivity disorder: impact of remission definition and symptom type. Am J Psychiatr. 2000;157(5):816–8.View ArticlePubMedGoogle Scholar
- Huntley Z, Maltezos S, Williams C, et al. Rates of undiagnosed attention deficit hyperactivity disorder in London drug and alcohol detoxification units. BMC Psychiatry. 2012;6(12):223–32.View ArticleGoogle Scholar
- Young S, Amarasinghe JM. Practitioner review: Non-pharmacological treatments for ADHD: a lifespan approach. J Child Psychol Psychiatry. 2010;51(2):116–33.View ArticlePubMedGoogle Scholar
- Dovey-Pearce G, Hurrell R, May C, Walker C, Doherty Y. Young adults’ (16–25 years) suggestions for providing developmentally appropriate diabetes services: a qualitative study. Health Soc Care Community. 2005;13(5):409–19.View ArticlePubMedGoogle Scholar
- Kennedy I. Getting it right for children and young people: Overcoming cultural barriers in the NHS so as to meet their needs. London: Department of Health; 2010.Google Scholar
- Edwin F, McDonald J. Services for adults with attention-deficit hyperactivity disorder: National survey. Psychiatr Bull. 2007;31(8):286–8.View ArticleGoogle Scholar
- The National Audit Office. Supporting people with autism through adulthood. London: TSO (The Sationary Office); 2009.Google Scholar
- Biederman J, Monuteaux MC, Mick E, et al. Young adult outcome of attention deficit hyperactivity disorder: a controlled 10-year follow-up study. Psychol Med. 2006;36(2):167–79.View ArticlePubMedGoogle Scholar
- Lee S, Schachar R, Chen S, et al. Predictive validity of DSM-IV and ICD-10 criteria for ADHD and hyperkinetic disorder. J Child Psychol Psychiatry. 2008;49(1):70–8.View ArticlePubMedGoogle Scholar
- Polanczyk G, de Lima MS, Horta BL, Biederman J, Rohde LA. The worldwide prevalence of ADHD: a systematic review and metaregression analysis. Am J Psychiatr. 2007;164(6):942–8.View ArticlePubMedGoogle Scholar
- Xenitidis K, Paliokosta E, Rose E, Maltezos S, Bramham J. ADHD symptom presentation and trajectory in adults with borderline and mild intellectual disability. J Intellect Disabil Res. 2010;54(7):668–77.View ArticlePubMedGoogle Scholar
- Bussing R, Zima BT, Gary FA, Garvan CW. Barriers to detection, help-seeking, and service use for children with ADHD symptoms. J Behav Health Serv Res. 2003;30(2):176–89.View ArticlePubMedGoogle Scholar
- Eiraldi RB, Mazzuca LB, Clarke AT, Power TJ. Service Utilization among ethnic minority children with ADHD: a model of help-seeking behavior. Admin Pol Ment Health. 2006;33(5):607–22.View ArticleGoogle Scholar
- Leslie LK, Wolraich ML. ADHD service use patterns in youth. J Pediatr Psychol. 2007;32(6):695–710.View ArticlePubMedGoogle Scholar
