Future of CAMHS: How best to support wellbeing Dr Miranda Wolpert Reader in Evidence Based Practice and Research, UCL Director of the Evidence Based Practice Unit (EBPU), UCL and Anna Freud Centre Director of the Child Outcomes Research Consortium (CORC) Director of Service Improvement and Evaluation, Anna Freud Centre
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Future of CAMHS: How best to
support wellbeing
Dr Miranda Wolpert
Reader in Evidence Based Practice and Research, UCL
Director of the Evidence Based Practice Unit (EBPU), UCL and
Anna Freud Centre
Director of the Child Outcomes Research Consortium (CORC)
Director of Service Improvement and Evaluation, Anna Freud
Centre
Supporting wellbeing for those
in need
• What constitutes need for mental health input for
children?
• How have services been historically configured?
• Are they getting worse?
• What is the delivery context?
• What is the policy context?
• How can services work together to support
children young people and families?
Historical support for child
mental health needs
• From the 1920s
• Support child wellbeing
• Deal with problems before that become significant
The child guidance movement
• Focused on mental illness and severe mental health problems
Psychiatry
• More a recent perspective
• Focus on most troubling young people
• Risk to themselves or others
Management of risk
• Different languages: difficult cross-agency work
• Historically underfunded• Current austerity context resulted in cuts up to 25%
• The last UK epidemiological study (10 years ago) shows• Less than 25% of those deemed in need accessed support
Educational lexicon
Health lexicon
Social care lexicon
Categorising Mental Health problems 1. Anxious away from care givers
6. Avoids going out (Agoraphobia) 16. Poses risk to others 26. Gender discomfort Issues (GID)
7. Avoids specific things (Specific
phobia)
17.Carer management of CYP
behaviour (e.g. management of
child)
27. Unexplained physical
symptoms
8. Repetitive problematic
behaviours (Habit problems)
18. Doesn’t go to the toilet in
time (Elimination problems)
28. Unexplained developmental
difficulties
9. Depression/low mood
(Depression)
19. Disturbed by traumatic
event (PTSD)
29.Self-care issues (includes
medical care management, obesity)
10.Self-harm (Self injury or self-
harm)
20.Eating issues
(Anorexia/Bulimia)
30. Adjustment to health issues
Categorising Mental Health problems
Facing Shadows video
Evidence-based treatment for
Depression• NICE-recommended treatment:
• Watchful waiting
• Guided self-help e.g. sleep hygiene
– ‘Self-help’ for depression could include any activity or lifestyle
choice that an individual makes in the belief that it will confer
therapeutic benefit (e.g. taking more exercise, modifying diet,
reducing or increasing alcohol intake).
• CBT (individual and group)- e.g. behavioural activation, thought
challenging
• Interpersonal therapy (IPT)
• Individual psychodynamic psychotherapy
• Family therapy (NICE, 2015)
Supporting coping
1. Encourage some activity
Physical activity is particularly helpful. Try to encourage a student to walk, run, cycle, skip anything which begins to increase their activity and help improve how they feel.
2. Encourage them to talk to others
Try to encourage the student to tell people close to them how they are feeling. Having a cry can help relieve tension and let things move on.
3. Encourage them to look after themselves
Try to think about the ways they are coping and if this is helpful for example using drugs or drinking alcohol. This may give the students immediate relief but can also create further problems to cope with.
4. Challenge negative thinking
When someone is experiencing depression they often tend to think and expect the worst of themselves, their life and their future. Try to help a student write down their thoughts when feeling gloomy and try to counter these thoughts by writing down arguments against them.
(Northumberland. Tyne and Wear NHS Foundation Trust, 2015)
Delivery Context
• Rising need for girls with emotional problems though
plateau or improvement behaviour problems in boys
(Fink et al., 2015)
• Ongoing reduction in services- 25% (YoungMinds, 2013)
• Teachers most commonly contacted as point of advice
for mental health issues (Ford et al., 2007)
• Long-term challenges in relationship between schools
and CAMHS (Fazel et al., 2014)
Policy Context
• High interest and commitment to evidence based and outcomes focussed practice
• Aligned models of what good looks like creating transformed services building on children and young people accessing psychological therapies and allied initiatives
• Ring fenced funding to support ongoing transformation
• Increased collaborative working DH, Dfe, NHSE and PHE
Uncomfortable facts upfront
1. There are not enough resources to meet need.
2. Even if there were enough resources, at our current state of knowledge at least 1/3 of children with significant mental health problems will still have the same level of difficulties or worse, even after the most evidence-based and specialised input.
3. These two facts are unlikely to change in the near future.
(Warren et al., 2010)
Implications
• We must focus on how we can help
children within the limited resources that
we have
• Some of this work will involve supporting
people in managing ongoing mental health
difficulties.
• A key issue is how to help disparate
services work together
Understanding services
• Lack of data
• Payment system project
Project Findings and Final Report
CAMHS Payment System Project
June 2015
15
The prospective data collection pilot – 20 services participated
• Training late 2012 – early 2013
• Data collection until mid 2014 with focussed work on data quality
• Examples of services provided:
– Outreach & intensive community treatment
– Looked after children
– Neurodevelopmental disorders
– Learning disability
– Paediatric liaison
– Forensic
– Tier 2
– Tier 3
– Eating disorders
– Inpatient
• No. of sites in each region:
3
1
1
1
3
6
1
4
What does “clustering”
(“grouping”) mean?
Note: These images represent simulated illustrations only. No CAMHS data were used to make them.
Note: N = 4573. Forty periods of contact were recorded to have attended more than thirty appointments. These are not
shown in this graph, but are included in the analysis.
Approach 1: Regression Trees
Approach 2: K-medoids Cluster Analysis
Approach 3: Conceptually guided grouping
Grouping Development: Three approaches
Illustrative indication of relative grouping sizes based on analysis of Current View data collected Sep 2012-June 2014¶
Draft groupingsPercentage of periods of
contact in sample§
Getting Advice: Signposting and Self-management Advice [A1] 30 %
Getting Help: With Co-occurring Behavioural* And Emotional** Difficulties [H21] 2 %
Getting Help: With Co-occurring Emotional** Difficulties [H22] 8 %
Getting Help: With a Difficulty or Co-occurring Difficulties Not Covered by H1-H10,
MH1-MH3 or H21-H22 [H23]
16 %
Getting More Help: Guided by NICE Guideline 9 (Eating Disorders) [MH1] 1 %
Getting More Help: Guided by NICE Guideline 155 (Psychosis) and/or Guideline 38
(Bipolar Disorder) [MH3]
1 %
Getting More Help: With Co-occurring Difficulties of Severe Impact [MH9] 8 %
¶ Total sample size: 4573 periods of contact in the community (i.e. does not include inpatient periods of contact) from 11 CAMH services. Data were collected between September 2012 and June 2014. Current View tools were usually completed after the first contact within a period of contact.§ Percentages sum to more than 100%, because each group has been rounded to the nearest whole percentage, and because a child can be in the grouping ‘Getting Advice: Neurodevelopmental Assessment’ (A2) at the same time as being in one of the other groupings. Apart from A2 all other groupings are mutually exclusive.* Behavioural difficulties (Conduct Disorder or Oppositional Defiant Disorder). ** For the purpose of grouping assignment emotional difficulties are defined as: Depression/low mood (Depression); Panics (Panic Disorder); Anxious generally (Generalized anxiety); Compelled to do or think things (OCD); Anxious in social situations (Social anxiety/phobia); Anxious away from caregivers (Separation anxiety); Avoids going out (Agoraphobia); Avoids specific things (Specific phobia).
Key to box plots
Illustrative indication of distributions of appointments by grouping based on analysis of Current View and appointments data collected Sep 2012-June 2014¶
Legend to grouping labelsA1: Getting Advice: Signposting and Self-management AdviceH1: Getting Help: Guided by NICE Guideline 16 and/or Guideline 133 (Self-harm)H2: Getting Help: Guided by NICE Guideline 26 (PTSD)H3: Getting Help: Guided by NICE Guideline 28 (Depression)H4: Getting Help: Guided by NICE Guideline 31 (OCD)H5: Getting Help: Guided by NICE Guideline 38 (Bipolar Disorder)H6: Getting Help: Guided by NICE Guideline 72 (ADHD)H7: Getting Help: Guided by NICE Guideline 113 (GAD and/or Panic Disorder)H8: Getting Help: Guided by NICE Guideline 158 (Antisocial Behaviour and/or Conduct Disorders)H9: Getting Help: Guided by NICE Guideline 159 (Social Anxiety Disorder)H10: Getting Help: Guided by NICE Guideline 170 (Autism Spectrum)
H21: Getting Help: With Co-occurring Behavioural* And Emotional** DifficultiesH22: Getting Help: With Co-occurring Emotional** DifficultiesH23: Getting Help: With a Difficulty or Co-occurring Difficulties Not Covered by H1-H10, MH1-MH3 or H21-H22MH1: Getting More Help: Guided by NICE Guideline 9 (Eating Disorders)MH3: Getting More Help: Guided by NICE Guideline 155 (Psychosis) and/or Guideline 38 (Bipolar Disorder)MH9: Getting More Help: With Co-occurring Difficulties of Severe Impact
* Behavioural difficulties (Conduct Disorder or Oppositional Defiant Disorder).** For the purpose of grouping assignment emotional difficulties are defined as: Depression/low mood (Depression); Panics (Panic Disorder); Anxious generally (Generalized anxiety); Compelled to do or think things (OCD); Anxious in social situations (Social anxiety/phobia); Anxious away from caregivers (Separation anxiety); Avoids going out (Agoraphobia); Avoids specific things (Specific phobia).
N.B. ‘Getting Advice: Neurodevelopmental Assessment’ (A2) is not shown as additional appointments that may be associated with this grouping cannot be discerned in this data set.
¶ Total sample size: 4573 periods of contact in the community (i.e. does not include inpatient periods of contact) from 11 CAMH services. Data were collected between September 2012 and June 2014. Current View tools were usually completed after the first contact within a period of contact.
Testing the relevance of complexity
factors (etc.) for predicting resource use
Summary
The classification of CAMHS cases according to our
designed groupings provides a better and more reliable
prediction of resource use than “a-theoretical” models found
by statistical methods (cluster analysis, regression trees).
Once group membership was taken into account, there was
no strong evidence of an additional contribution by context
and complexity factors to the prediction of resource use.
This was regardless whether “number of appointments” or
“relative treatment cost” was used to estimate resource use.
Quality criteria• Clinical meaningfulness: The classification relates to NICE best
practice guidelines, takes into account frequent “comorbidities”, and
distinguishes groups of CYP that don’t appear to neatly fit into a
category. We recommend that allocation to a group is based on a
shared decision about treatment aims.
• Relation to resource use: Modest relationship to resource use (but
better than purely ‘data’ driven models).
• Reliability of identification: Unclear. Reliability will depend on
reliability of Current View Ratings, as well as reliability of
practitioners’ group allocation decisions (when overriding the
algorithm’s suggestion).
Note: This plot shows the same model as the previous plot, but this time the estimated effects of the 16 clusters are shown alongside the effects for complexity, context and EET factors. Clusters are identified by colour only: blue bars show clusters belonging to “Getting Help”, purple bars show clusters belonging to “Getting More Help”. The influence of each cluster or risk factor is shown compared to a POC in the “Coping” cluster without any risk factors. It can be seen that Cluster Membership is a more important predictor of “number of appointments” than any of the associated risk factors. See appendix for a legend to labels and for the model specification.
Useful Tools: Youth Wellbeing Directory
Table 1: Predicted resource use for needs-based
groupings, from payment systems project analysis
Needs-based
groupings
Predicted % in
grouping based
on application of
the algorithm
95%
confidence
interval of
group
percentage
Predicted
average no.
of sessions
95% confidence
interval of estimated
average
appointments
Predicted %
resource use
for a typical
service*
Informal
confidence
range for
predicted
resource use**
Getting
advice
28% 27%-29% 6.2 4.6-8.47 24% 20%-29%
Getting
help
61% 60%-62% 6.9 5.1-9.5 59% 53%-65%
Getting
more help
11% 11%-12% 10.4 7.5-14.5 16% 13%-22%
Total 100% -- 7.2 6.6-7.8 100% --
Table 2: Hypothetical resource use in NHS
outpatient CAMHS after implementing THRIVE
Needs-based
groupings
Hypothetical %
of episodes of
care in grouping
Hypothetical
average number
of sessions
Hypothetical %
resource use
(direct
appointments
only)
Hypothetical %
overall resource
use
Getting advice 30% 3 10% 8%
Getting help 60% 10 66% 56%
Getting more help 5% 30 16% 14%
Getting risk
support
5% 15 8% 7%
Thriving n/a n/a n/a 15%
Total 100% 9.2% 100% 100%
Initial thoughts on choosing outcome indicators
• Below are examples of indicators relating to the sort of goals agreed by children,
young people and families accessing services
• Goals Based Outcomes (GBO) may be useful in relation to bespoke goals agreed
Overarching theme Agreed goal Some possible outcome indicators that can be used
Relationship/
interpersonal
Make more friends
Have better family relationships
Have less fights
Better management of child’s behaviour by
parent
Strengths and Difficulties Questionnaire (SDQ); Child Outcome
Rating Scale (CORS)
SCORE Index of Family Function and Change-15 (SCORE-15)
Me and My School (M&MS)
Brief Parental Self-Efficacy Scale (BPSES)
Coping with specific
problems and symptoms
Less symptoms PTSD
Less low mood
Manage intrusive thoughts and compulsive
behaviours
Impact of Events Scale (IES)
Strengths and Difficulties Questionnaire (SDQ)
Revised Child Anxiety and Depression Scale (RCADS)
How are things: Depression/low mood (PHQ-9)
OCD subscale of Revised Child Anxiety and Depression Scale
(RCADS)
Personal functioning Doing better at school
Feeling happier
Number of days attending school; academic achievement
Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS)
Young people’s strategies
(13-14 year old self report)
• Long baths
• Physical activity
• Eating chocolate
• Sleeping
• Talking with friends (more true of young
women than young men)
Project GroupDr Miranda Wolpert, Director, Evidence Based Practice
Unit and Child Outcomes Research Consortium, UCL
and the Anna Freud Centre (Project Co-Director)
Professor Panos Vostanis, Professor of Child
Psychiatry, University of Leicester (Project Co-Director)
Simon Young, Finance Director, Tavistock and Portman
NHS FT (Chair of Project Steering Group)
Dr Bruce Clark, Clinical Director of CAMHS and Child
and Adolescent Psychiatrist, South London and
Maudsley NHS FT
Dr Roger Davies, Clinical Psychologist, East London
NHS FT
Dr Isobel Fleming, Deputy Director, Child Outcomes
Research Consortium, UCL and the Anna Freud Centre
Dr Lynne Howey, Consultant Clinical Psychologist,
Tees, Esk and Wear Valleys NHS FT
Pat Howley, Assistant Director of Contracts (Sexual
Health and Children’s Services), NEL Commissioning
Support Unit
Amy Macdougall, Statistician, Child Outcomes
Research Consortium, UCL and the Anna Freud Centre
Dr Peter Martin, Statistics Professional Lead, Evidence
Based Practice Unit, UCL and the Anna Freud Centre
Tony Martin, Chartered Accountant, Project Finance
Lead
Charlotte Payne, Project Support Officer, Child
Outcomes Research Consortium, UCL and the Anna
Freud Centre
Benjamin Ritchie, Pilot Site Manager, Evidence Based
Practice Unit, UCL and the Anna Freud Centre
Dr Rob Senior, Medical Director, Tavistock and Portman
NHS FT
Dr Ann York, Consultant Child and Adolescent
Psychiatrist, Chair of Project Advisory Group
Dr Andy Whale, Statistician, Evidence Based Practice
Unit, UCL and the Anna Freud Centre
References
• Fink et al., 2015. Mental Health Difficulties in Early Adolescence: A Comparison
of Two Cross-Sectional Studies in England From 2009 to 2014. Journal of Adolescent