Classification & Epidemiology in Child Psychiatry

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Classificati on & Epidemiology in Child Psychiatry John McLennan University of Calgary Jan 17, 2013

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Classification & Epidemiology in Child Psychiatry. John McLennan University of Calgary Jan 17, 2013. Outline. Why classify mental phenomena? A little history of DSM Categories and/or dimensions Quebec epidemiology study Great Smoky Mountain Study. Why classify mental phenomena?. - PowerPoint PPT Presentation

Transcript of Classification & Epidemiology in Child Psychiatry

Page 1: Classification & Epidemiology in    Child Psychiatry

Classification & Epidemiology in Child Psychiatry

John McLennanUniversity of Calgary Jan 17, 2013

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Outline Why classify mental phenomena? A little history of DSM Categories and/or dimensions Quebec epidemiology study Great Smoky Mountain Study

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Why classify mental phenomena?

May aid communication May reduce/summarize complex problems May inform triage and treatment decisions May advance science

Reliability Validity Comparability Precision

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Any concerns about classifying?

Labelling….stigma Foster/encourage excessive

belief/confidence in (i.e., going beyond the science)… The precision Explanatory power Independent existence (vs. social

construction, societal bounded notions) In existence of discrete entities

Mask substantial heterogeneity E.g., in ADHD, autism

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History of categorizing in the USA – pre-DSM

1840 census: 1 category: “idiocy/insanity” Statistical purposes

1880 census: 7 categories: mania, melancholia, monomania

(e.g., kleptomania), paresis, dementia, dipsomania (e.g., alcoholism), epilepsy

1917 Statistical Manual for the use of Institutions for the Insane: 22 categories

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Diagnostic & Statistical Manual of Mental Disorders (DSM)

DSM: History of the Manual (APA ,2012)

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Diagnostic & Statistical Manual of Mental Disorders (DSM)

DSM-II (1968) Move away from reaction Psychodynamic influence 182 categories

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DSM-II

Runaway reaction of childhood “Individuals with this disorder

characteristically escape from threatening situations by running away from home for a day or more without permission. Typically they are immature and timid, and feel rejected at home, inadequate, and friendless. They often steal furtively”.

APA - DSM-II (1968) p.50

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DSM-III DSM-III – 1980

265 diagnoses Explicit diagnostic criteria Influenced by Research Diagnostic Criteria Multi-axial system Emphasis on description (vs. theory of

etiology) DSM-III R (Revised) – 1987

292 categories To address inconsistency and lack of clarity

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DSM-IV Task Force

Systematic literature reviews Reanalysis of data sets Focused field trials

16 major diagnostic classes 297 categories 1st section: “Disorders usually first

diagnosed in infancy, childhood or adolescence”

DSM-IV (TR) - 2000

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Disorders usually first diagnosed in infancy, childhood or adolescence

Mental Retardation (Axis II) [“Intellectual Disability”] Learning Disorders Motor Skills Disorders Communication Disorders Pervasive Developmental Disorders Attention-deficit and disruptive behavior disorder Feeding and eating disorders of infancy and childhood Tic Disorders Elimination Disorders Other Disorders of Infancy, Childhood or Adolescence

In addition to application of most of the other DSM-IV diagnoses to children and adolescent e.g., mood and anxiety disorders

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DSM-5 Release expected May 2013 www.dsm5.org Section of proposed organizational structure

Neurodevelopmental Disorders Intellectual Developmental Disorders Communication Disorders Autism Spectrum Disorder Attention Deficit/Hyperactivity Disorder Specific Learning Disorder Motor Disorders

[Others….depression, anxiety housed in those categories]

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DSM-5 – Child section proposed changes

Various content changes E.g., in ADHD

Modifications E.g., Pervasive Development Disorders

Drop Rett’s Disorder Subsume Asperger’s Disorder into an Autistic Spectrum Disorder Collapse social and communication impairments into a combined

criterion Create a “sub-syndromal “ disorder “Social Communication

Disorder” to be housed under the Communication Disorder group

New Disorders E.g., Temper Dysregulation Disorder with Dysphoria

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DSM-5 – Child section proposed changes

Temper Dysregulation Disorder with Dysphoria Temper outbursts (severe, frequent) Negative mood between outbursts At least 6 years of age Not meeting mania criteria

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Other classification systems International Classification of Disease (ICD)

10th edition (1992)….[11th edition partial available, “official?” release in 2015) Coordinated efforts with DSM system Chapter 5: Mental and behavioural disorders

Disorders of psychological development Behavioural & emotional disorders with onset usually occurring in childhood

& adolescence

Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood (0-3 years) Axis I: Primary diagnosis Axis II: Relationship Disorders (e.g., angry/hostile) Axis V: Functional Emotional Developmental Level

DSM-PC (Primary Care) Primary care physicians – clinical practice

Child & Adolescent Version American Academy of Pediatrics

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Categorical vs. dimensional What are the issues?

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Categories vs. DimensionsCategorical Approach Dimensional Approach

“Regard mental disorders as qualitatively different from variations across the normal range of expression in the population and having their own pattern of rather distinct causes – disorders differs from normality in both degree and kind”

“Regard [mental] disorder as an extreme expression of normal variation in the population emphasize continuity in underlying causes – disorder and normality differ only in degree but not kind.”

Coghill and Sonuga-Barke, 2012, p.469

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Dimensional vs. Categorical Dimensional –degrees

May be more reflective of underlying distribution Provides index of severity

Categorical – yes/no; present/absent May align with service and treatment decision making Consistent with “preference” of human cognitive

processes (clinician, patient, caregiver)….we are “natural categorizers” (Coghill & Sonuga-Barke, 2012)

Usefulness may depends on the situation Not unique to (child) psychiatry

E.g., hypertension

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IQ distribution and Mental Retardation

Jensen 1969

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Statistical approaches Newer statistical model (coherent cut kinetics

- Meehl) aimed to identify patterns of discontinuity in underlying structure of observed data (and hence can test between categorical and dimensional models)

Try to determine whether a particular disorder represents a discreet causal entity (a real category) or one end of a continuum (part of a dimension)

Coghill and Sonuga-Barke, 2012

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Evidence for taxons (Coghill & Sonuga-Barke, 2012)

Taxon A discrete entity that is qualitative different from normal range

Insecure attachment classification Continuous model a better fit

Anxiety sensitivity Evidence for a taxon

Depression Continuous model a better fit for adolescent depression (except

maybe melancholy) Evidence of taxon for child depression

PTSD/reaction Dimensional model a better fit

ADHD No evidence for a taxon

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Combined use Categorical diagnosis + quantitative

measure of severity, for example Diagnosis of depression + CDI score Diagnosis of ADHD + MTA-SNAP-IV score Other areas of medicine

COPD + measures of lung function

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Classification issues Future-?:

Course Cause Response to treatment Genetic underpinning Underlying “pathophysiology”

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Epidemiology Definition:

Study of the distribution, determinants and causes of disease in human populations

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Key epidemiology questions How many people (proportion of people) have a particular

disease at any one time? Prevalence: point, period of time, lifetime

How many new cases of this disease will occur during a defined period? Incidence

Which group in the population is at highest risk for specific diseases?

Are there characteristics of certain environments that increase the risk of particular diseases?

What are the most effective methods of preventing or controlling the spread of specific diseases?

Costello et al., 2004

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A Key Measurement Issues: Different informants

Type: parents, child, teacher, others (e.g., clinician) Agreement

Achenbach et al., 1987- correlations 0.60 for similar informants 0.28 different types of informants 0.22 with child report

Reporting on different contexts: home, school, community How to manage information from multiple informants?

Combine data (e.g., “and” vs. “or”)

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Epidemiological study examples

Quebec Study Great Smoky Mountain Study

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Quebec Child Mental Health Survey

1992 Cross-sectional Prevalence of DSM-III-R disorders

6 months prevalence N=2400 (representative); 6-14 years of age Response rate: 83.5% Informants: parent & child & teacher (6-11y olds) Diagnostic Interview Schedule for Children (DISC) Dominic Questionnaire (6-11 y olds)

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Quebec Child Mental Health Survey ADHD: 1.8-9.8%

Teacher>parents>children Younger>older Boys>girls

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Quebec Child Mental Health Survey

Oppositional Defiant Disorder 0.7-5.8% Child>parent>teacher (younger) Parent>child (older)

Conduct Disorder 0.2-2.3% Child>teacher>parent Boys>girls Younger>Older

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Quebec Child Mental Health Survey

Separation Anxiety Disorder 0.7-4.9% Child>parent (younger)

Simple phobia 1.3-14.6% parent>child Most common Substantial drop with impairment criteria

Overanxious/GAD 1.7-5.5% Child>parent (younger) Parent>child (older)

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Quebec Child Mental Health Survey

Depressive Disorder 1.0-3.5% Child>parent Girls>boys (older) Older girls>younger girls Younger boys>older boys

One or more disorders 9.6-32.4% Child and/or parent (32.4%) Parent + impairment: (9.6%)

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Longitudinal studies Rare in child psychiatry Essential for prospectively determining

incidence and duration patterns

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Great Smoky Mountains Study Cross-sectional & longitudinal Prevalence of DSM-III-R/IV disorders (3 month prevalence) 9, 11, 13 years of age + 3 years so up to 16 years of age

{“accelerated design”/control for cohort effect} Stage 1: Randomly selected sample for screening using

externalizing items from the Child Behavioural Checklist + expanded questions on substance abuse using parent as informant

Stage 2: top 25% on screening + 1 in 10 of the rest invited to participate in structured interview using the Child and Adolescent Psychiatric Assessment (CAPA) using parent and child as informants

Response rate: 96% of eligibles agreed to screening (n=3896) 80% of eligibles agreed to interview (n=2086)

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Great Smoky Mountains Study

Parent and/or child report (diagnosis, not impairment) 20.3% any disorder 11.9% any emotional or behavioural disorder 6.8% any emotional disorder 6.6% any behavioural disorder 5.7% any anxiety disorder 5.1% enuresis 4.2% any tic disorders

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Great Smoky Mountains Study

Approximately 1/3rd of children had more than 1 disorder (i.e., comorbidity)

Boys>girls for any psychiatric disorder primarily due to higher rates of behavioural disorders and enuresis (also higher co-morbidity of emotional and behavioural disorders in boys)

Children of the poorest families had higher rates of any disorders and every type except tic disorders, especially behavioural disorders (also co-morbidity)

Urban not higher than rural after controlling for income

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Great Smoky Mountains Study

Decreasing with age: ADHD, SAD, enuresis, encopresis, tics

Increasing with age: Substance Use Disorders, panic, GAD Girls only: Depression & social phobia

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Impaired but undiagnosed Angold et al., 1999 Smoky Mountain data

7.4% diagnosis + impairment 11.5% diagnosis, not impaired 14.2% impaired, no diagnosis 3.6% parent-child relational problem 1.4% siblings relational problems 52% of specialty mental health service users did not

meet diagnostic criteria for 29 DSM-III diagnoses

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References American Psychiatric Association (2012) DSM: History of the Manual.

http://www.psychiatry.org/practice/dsm/dsm-history-of-the-manual Angold A, Costello EJ (2009) Nosology and measurement in child and adolescent

psychiatry. Journal of Child Psychology & Psychiatry 50(1-2): 9-15. Aarons G et al (2001) Prevalence of adolescent substance use disorders across five

sectors of care. J Am Acad Child Adolesc Psychiatry 40(4): 419-426. Breton JJ B et al (1999) Quebec Child Mental Health Survey: Prevalence of DSM-III-R

mental health disorders. J Child Psychol Psychiat 40(3): 375-384. Coghill D, Sonuga-Barke E (2012) Annual research review: Categories versus

dimensions in the classification and conceptualisations of child and adolescent mental disorders – implications of recent empirical study. Journal of Child Psychology & Psychiatry 53(5): 469-489.

Copeland W, Shanahan L, Costello EJ, Angold A (2011) Cumulative prevalence of psychiatric disorders by young adulthood: A prospective cohort analysis from the Great Smoky Mountains Study. JAACAP 50(3): 252-261.

Costello et al (2005) 10-year research update review: the epidemiology of child and adolescent psychiatric disorders: I. Methods and Public Health Burden. Journal of the American Academy of Child and Adolescent Psychiatry 44(10): 972-986.

 Costello et al (2006) 10-year research update review: the epidemiology of child and adolescent psychiatric disorders: II. Developmental Epidemiology Journal of the American Academy of Child and Adolescent Psychiatry 45(1): 8-25

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References -2 First M (2010) Paradigm shifts and the development of the diagnostic and

statistical manual of mental disorders: Past experiences and future aspirations. Can Journal of Psychiatry 55(11): 692-700.

Garland A et al (2001) Prevalence of psychiatric disorders in youths across five sectors of care. J Am Acad Child Adolesc Psychiatry 40(4): 409-418.

Jensen A (1969) How much can we boost IQ and scholastic achievement. Harvard Educational Review 39(1)

Kessler R et al (2012) Severity of 12-month DSM-IV disorders in the national comorbidity survey replication adolescent supplement. Arch Gen Psychiatry 69(4): 381-389.

Kessler R et al (2012) Prevalence, persistence and sociodemographic correlates of DSM-IV disorders in the national comorbidity survey replication adolescent supplement. Arch Gen Psychiatry 69(4): 372-380.

Widiger T, Samuel D (2005) Diagnostic categories or dimensions? A question for the Diagnostic and Statistical Manual of Mental Disorders – Fifth Edition. Journal of Abnormal Psychology 114(4): 494-504.