Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-28T00:57:49.461Z Has data issue: false hasContentIssue false

The psychiatry of children aged 0–4: advances in assessment, diagnosis and treatment

Published online by Cambridge University Press:  02 January 2018

Rights & Permissions [Opens in a new window]

Summary

Mental illness in very young children is relatively rare and the number of 0- to 4-year-olds seen in secondary care psychiatric services has recently declined. Conceptualisation of mental illness in this age group is shifting towards a model that views disorders as part of the wider spectrum of diagnoses, rather than distinct, developmentally specific conditions. This article discusses the epidemiology of psychiatric illness in preschool children, evaluates assessment tools that have only recently been validated for use in secondary care and considers evidence of the efficacy and cost-effectiveness of early intervention using treatments encompassing pharmacological, psychological and social approaches.

Type
Articles
Copyright
Copyright © The Royal College of Psychiatrists 2015 

LEARNING OBJECTIVES

  • Understand the nature of psychiatric illnesses in preschool children, recognising that presentations may differ but the underlying conditions are similar to those observed in older age groups

  • Appreciate the range and relative merits of diagnostic instruments available for identifying psychiatric disorders in this age group

  • Recognise the effectiveness of various treatment modalities, especially public mental health and psychological approaches

Our understanding of the mental health of infancy and early childhood (0–4 years of age) is undergoing a transformation. Traditional psychodynamic developmental accounts are transforming into operationalised, ethological accounts of cognitive processes and adult–child interaction. Intrauterine and early-life development are being increasingly implicated in the aetiology of both child and adult mental illness, while psychological trauma and adversity in this period are being associated with physical as well as mental ill health. The concept of developmentally specific psychiatric syndromes, which underpinned diagnosis for these children, is being eroded. In treatment, there has been increasing recognition of the economic advantages of early intervention, and primary care has engaged extensively with parent training, with good effect. However, in the UK secondary care capacity for 0- to 4-year-old children declined by 16.9% between 2006 and 2009, and an unpublished survey conducted by the Royal College of Psychiatrists in 2012 found that 28% of UK child psychiatrists believed that general child and adolescent mental health services (CAMHS) were not appropriate for the problems this group present. This article therefore gives an overview of the psychiatry of this age range, with the intention of improving awareness of the importance of mental health in children under 5, exploring the ways in which child psychiatrists may currently contribute, and indicating likely future directions for mental healthcare. A developmental psychopathology approach will be taken, to allow consideration of this group in terms of both current psychopathology and risk (and resilience) factors affecting later health difficulties.

Diagnosis and epidemiology

Diagnosis

The frequency of disorders in 0- to 4-year-olds cannot be determined without an agreed way to detect and classify them, and unfortunately diagnoses in this age range have been contentious. The traditional approach has been to emphasise differing developmental trajectories and adult–child (especially parent–child) relationships across broad behavioural domains, leading to differing forms of classification from those used in other population segments. In classic infant psychiatry, five domains were proposed as defining developmentally specific syndromes:

  • pervasive developmental disorders

  • reactive attachment disorders of infancy

  • eating disorders of infancy

  • sleep disorders

  • disorders in behavioural organisation.

The first of these has now been extended into the category of autism spectrum disorders and is recognised as a lifespan diagnosis. Reactive attachment disorders have been shown to have a close developmental relationship with a range of similar behavioural, dissociative and affect-regulation problems in young adulthood, while eating and sleep problems also extend well outside infancy and so cannot be considered developmentally bound as originally thought. The last domain refers to temperamental problems sufficiently severe to trigger referral; once again, these now can be understood to refer to behavioural styles traceable from early childhood into adult life.

Findings such as these have undermined the validity of separate diagnostic classification systems for infants and young children, which were struggling to cope with poor reliability, especially with their proposed developmentally specific syndromes (Reference Egger and EmdeEgger 2011). An interesting study used latent class analysis to compare diagnoses made under the best-developed developmentally specific diagnostic system, DC: 0-3R, with the two then current conventional systems, DSM-IV-TR and ICD-10: it found that the three systems identified similar latent classes, although the DSM and ICD coded them differently (Reference Möricke, Lappenschaar and SwinkelsMöricke 2013). This is also consistent with the extension of dimensional diagnostic approaches into the 0–4 age range. Broad internalising and externalising dimensions have been found for the Child Behavior Checklist (CBCL) for ages 18 months to 5 years (Reference Mothander and Grette MoeMothander 2008) and the Strengths and Difficulties Questionnaire (SDQ) for 2- to 3-year-olds (Reference Delobel-Ayoub, Kaminski and MarretDelobel-Ayoub 2006), both of which have similar dimensional structures throughout their age ranges.

The evidence thus supports a conceptual shift from qualitatively distinct, developmentally specific syndromes to a developmentally modulated expression of psychopathological processes that are qualitatively similar across the lifespan. This carries implications for assessment, as the developmental differences between children of different ages then become primarily confounding factors in making accurate diagnoses, rather than markers for different groups of syndromes. This view does not exclude the idea that the onset of disorders may be developmentally related: this seems likely, for example, for depression and schizophrenia, although there is little evidence for such influences on remission. The shift described has led to practical progress, as assessment tools based on its assumptions have proved to have similar reliability to those already existing for older children, with a similar degree of syndrome resolution (Reference Sterba, Egger and AngoldSterba 2007). It is therefore now both reasonable and possible to describe the epidemiology of psychiatric disorders in 0- to 4-year-olds in terms of the disorders used across the rest of the age range.

Epidemiology

One effect of these diagnostic concerns has been that, to date, there have been only nine prevalence studies of diagnosis of children aged 0–4. Table 1 summarises their findings.

TABLE 1 Epidemiology of psychiatric disorders in preschool children

Five studies were published since 2009, reflecting the epidemiological advantage of the newly changed paradigm. All the studies in Table 1 made use of versions of DSM as their diagnostic schema. It can be seen that the reported prevalence rates closely resemble the patterns found in older children: the range is similar, and the sensitivity to population and instrument choice suggested by the wide variations reported is also found more generally. It therefore seems likely that disorders present similarly, and with similar degrees of impairment, in children aged 0–4 as they do in older children and teenagers. The recent decline in UK CAMHS capacity for 0- to 4-year-olds is therefore worrying, as it occurred during a period of increased investment and interest in CAMHS, and rising reported prevalence rates of child psychiatric disorders worldwide (Reference TwengeTwenge 2011).

Clinical assessment of 0- to 4-year-olds in secondary care

In primary care, there are now well-established tools that may be used, or adapted, for the assessment of children with mental health problems, as fine-grained diagnosis is not usually required. However, in secondary care more diagnostic precision is needed, and we have already seen that adequately reliable and valid diagnostic systems have only recently been established for children aged 0–4. In the UK, the lack of confidence this is likely to engender is combined with both low levels of service activity and limited training opportunities. The Royal College of Psychiatrists’ survey found that 93% of non-specialist UK child psychiatrists saw not more than four 0- to 4-year-olds a month, and this was true even for 73% of those who reported working in a service that specialised in this age range; unsurprisingly, comments that they were inadequately trained to see this age group were common. These concerns were entirely justified under the paradigm of developmentally specific psychopathology, where assessments stress detailed interpretation of (possibly videotaped) parent–child interaction, and the use of instruments to assess individual differences in attachment and temperament that quantify risk and resilience factors, rather than assisting conventional diagnoses. However, the reformulation of early diagnosis described above suggests that child psychiatrists’ existing skills, appropriately supported by diagnostically oriented structured assessment tools, will enable effective diagnosis in secondary care. Table 2 provides a list of instruments suitable for this. A discussion of issues of interpretation of structured instruments is provided in Reference Szaniecki and BarnesSzaniecki & Barlow (2015). Although there is an overlap between preschool and autism assessment, the latter is not the focus here, and a comprehensive review of instruments for autism spectrum disorders is available elsewhere (Reference Falkmer, Anderson and FalkmerFalkmer 2013).

TABLE 2 Instruments useful in the assessment of children aged 0–4

Table 2 shows the wide range of valid and reliable assessment tools appropriate for children aged 0–4 that are now available. The validation study of the Schedule for Affective Disorders and Schizophrenia for school- age children (Kiddie-), Present and Lifetime (K-SADS-PL) is especially encouraging, as it supports the view that existing adult instruments may be readily adapted for use in younger age ranges (Reference Birmaher, Ehmann and AxelsonBirmaher 2009), which follows from the claim that the psychiatric disorders to be identified are not developmentally bound syndromes. Clinicians thus can make detailed, standardised assessments, or use instruments to forewarn or support their clinical impressions and judgements. Either technique supports diagnostic accuracy. Although it measures a risk/resilience factor rather than providing a diagnosis, the Attachment Q-Sort is included in the table because attachment-related difficulties load on different dimensions from conventional psychopathology (Reference Minnis, Reekie and YoungMinnis 2007), and so could be missed without a specific measure. However, inspection of Table 2 shows that structured assessment is still challenging in children below 18 months of age. For example, although Reference Szaniecki and BarnesSzaniecki & Barlow (2015) reported both the Ages & Stages Questionnaires: Social Emotional (ASQ:SE) and the Brief Infant Toddler Social Emotional Assessment (BITSEA) as having promise, both of these questionnaires failed to distinguish psychopathology in children less than 24 months of age (Reference de Wolff, Theunissen and Vogelsde Wolff 2013).

Child psychiatry and early intervention

Concepts of developmental psychobiology

The first strand of the case for early intervention is, in some ways, a return to the roots of psychobiological child guidance as prevention of psychiatric disorders across the lifespan. There has been an increasing body of evidence consistent with developmental psycho biological concepts, such as psychobiological developmental pathways to physical and mental difficulties. For example, postnatal depression is associated with children’s sleep difficulties, poor weight gain and increased minor physical problems at 9 months, impaired cognition at 16 months, impaired growth as well as behavioural problems at age 2, and increased negative parenting behaviours, which persist, predicting increased behavioural and emotional problems by age 7. Extreme prematurity, a physical perinatal stressor, is associated with subsequent impaired cognition (including executive function) and attention and internalising (though not externalising) behavioural problems (Reference Aarnoudse-Moens, Weisglas-Kuperus and van GoudoeverAarnoudse-Moens 2009). However, there is little impact on family functioning in the long term, despite some restriction in opportunities for mothers, even in the presence of enduring neurodisability (Reference Saigal, Pinelli and StreinerSaigal 2010). Environmental toxins and recreational drugs are increasingly found to adversely affect the developing fetus, contributing to the risk for subsequent mental health problems. Recreational drugs are more associated with attentional problems, whereas environmental toxins have a general effect on brain development. Early chronic psychosocial trauma, stress and economic disadvantage have also been associated with subsequent neoplastic, gastrointestinal, cardiovascular and immunological illness, possibly via long-term immunological activation of macrophages or monocytes and subsequent hypersensitivity (Reference Ford, Lanius, Vermetten and PainFord 2010; Reference Miller, Chen and ParkerMiller 2011).

Among disorders more apparent in teenagers and adults, vulnerability to depression has been associated with the interaction between serotonin transporter gene polymorphisms and early psychological trauma, possibly mediated by impaired coupling between the amygdala and anterior cingulate cortex, as well as such trauma leading to hypothalamic–pituitary–adrenal (HPA) axis and oestrogenic dysregulation; the former is associated with impaired stress management, the latter potentially affects caregiving in subsequent generations. Chronic stress affects both the HPA axis and brain-derived neurotrophic factor (BDNF), leading to reduced hippocampal size and neuronal complexity, especially in the periventricular nuclei (Reference Ansorge, Hen and GingrichAnsorge 2007). Our understanding of schizophrenia is also now neurodevelopmental, with obstetric complications and childhood or adolescent psychosocial stress both contributing to its eventual expression in genetically vulnerable people. Obstetric complications, in particular hypoxia, lead to more severe illness with earlier onset, and a greater likelihood for conversion of prodromal symptoms to the full syndrome. They have also been associated with ventricular enlargement (crucial evidence for the ‘over-pruning hypothesis’ of excessive brain apoptosis in schizophrenia) and unusual movements at age 4, which both predicted incidence of schizophrenia. Brain-derived neurotrophic factor is implicated here as well: among individuals who begin life with obstetric complications, those who develop schizophrenia have lower than normal levels of this neuroprotective hormone, rather than the higher than normal levels in those who do not (Reference Karlsgodt, Ellman, Sun, David, Kapur and McGuffinKarlsgodt 2012). Early trauma also mediates this effect, possibly via inflammatory processes (Reference Dennison, McKernan and CryanDennison 2012).

Developmental psychopathology has thus proved to be essential to our understanding of the major disorders treated in adult psychiatry, as well as those most prevalent in childhood and adolescence, and it highlights many potential areas for early intervention. The overall picture seems to be that similar stressors and risk factors (physical and psychological trauma and adversity early in life) produce a range of adverse results, the profile of which depends on the interaction between the insult and the individual’s genotype, with families being more resilient to the sequelae of physical stressors than psychological or economic ones.

The economic argument

In the second strand of research supporting early intervention, Reference HeckmanHeckman (2008) developed an economic model based on developmental psycho-pathological findings, which suggested that the benefits across the lifespan of the ratio of early to later intervention in childhood followed a positive curvilinear relationship, i.e. early intervention was disproportionally beneficial compared with later. Data collection problems make this model difficult to test, but Knapp and colleagues have undertaken long-term (6-year) economic reviews of 15 early intervention strategies, with supportive results (Reference Knapp, McDaid and ParsonageKnapp 2011). For example, they found that early intervention for conduct disorder (which typically has a childhood onset) had a 20% greater return on investment than early detection of psychosis (which typically begins in adolescence), but even early intervention for conduct disorder has only 10% of the return on investment from prevention of conduct disorder through social and emotional learning programmes. Although these latter were evaluated in school, at 10 years, around 74% of conduct disorders are likely to have begun before then (Reference Meltzer, Gatward and GoodmanMeltzer 2000) and social education programmes may be successfully adapted for preschool children. It therefore seems likely that the economic benefits of social and emotional learning programmes will be greater if used with preschool children. An interesting example is postnatal depression. Reference Knapp, McDaid and ParsonageKnapp et al’s (2011) review, which did not consider children, failed to identify any return on investment in the deployment of health visitors. However, other studies obtained more positive results (Reference McDaid and ParkMcDaid 2011) and Knapp et al’s most recent study (Reference Bauer, Parsonage and KnappBauer 2014) found that 72% of the costs of perinatal depression, anxiety and psychosis arose from the impact on the children, in which context interventions became highly cost-effective.

The public mental health imperative

The third strand supporting early intervention refers to cross-sectional, rather than longitudinal, findings. For adult and child health problems, the mean population score is closely related to the number of individuals with extreme values, i.e. the prevalence of relevant cases in the population (Reference Goodman and GoodmanGoodman 2011). Therefore, whole-population interventions that reduce mean scores will also reduce associated case prevalences, so effective interventions may offer significant benefit in reducing case-load even if applied to at-risk or whole populations, rather than restricting them to diagnosed patients. From the last paragraph of the previous section, it follows that smaller, or even absent cross-sectional effect sizes may be accepted if the intent of an intervention is to reduce disability across the lifespan, given the potential offset in costs. An example where these principles could be applied is in preschool social education (Reference Hamre, Pianta and MashburnHamre 2012). Although prosocial behaviour in the preschoolers studied was significantly improved, there was no detectable change in the rate of behavioural disorders. However, this was because the base rate was so low in the study population that such change was hard to detect. The results suggested that the intervention would still be valuable in reducing the risk of future behavioural disorders, given their close negative association with prosocial behaviour.

A case can thus be made for child psychiatrists to involve themselves with 0- to 4-year-olds at the population level, as well as treating individual children, i.e. to engage with the public mental health of this age range. External observers consider that the UK (with The Netherlands) already leads the USA in this, and some of this work is undertaken as consultation-liaison to primary care teams and agencies (Reference EmbryEmbry 2011). In the UK, such teams can provide, jointly, around one potential worker for every 30 children with a diagnosable psychiatric disorder, and there is an appetite for appropriate training supported by management. In the USA, home-based treatment by such professionals has been shown to be feasible and effective for preschoolers (Reference Lowell, Carter and GodoyLowell 2011) and, in general, interventions in this age group produce enduring benefit, which may be enhanced for mental health problems if provided in toddlerhood (Reference Nores and BarnettNores 2010). Despite this, and the theoretical account given above, a recent meta-analytic review found no prevention studies for depression covering the preschool age range (Reference Merry, Hetrick and CoxMerry 2012), though a randomised controlled trial for prevention of anxiety disorders in preschoolers is in progress (Reference Bayer, Rapee and HiscockBayer 2011).

Treatment

Physical treatments

Neuromodulation

Although these most frequently refer to psychopharmacology, it is important to remember that other physical treatments may be worthy of research in this age group. Electroconvulsive therapy (ECT) has been used for children, but not preschoolers, and its more acceptable – though possibly less effective – cousin transcranial magnetic stimulation (TMS) has also been trialled with adolescents for depression, with good results (Reference Walter, Rey, Ghaziuddin, Martin, Scahill and KratochvilWalter 2010). Conversely, vagus nerve stimulation (VNS) has been used extensively with children from less than 2 years of age to 18 for the treatment of epilepsy, and its antidepressant effect has been noted as well as its cognitive benefits (Reference Klinkenberg, van den Bosch and MajoieKlinkenberg 2013). Given our improved capacity for detecting mood disorders in this age group, and the currently worrying risk–benefit profile for antidepressants in juveniles, research is needed into applicable alternatives to medication. For example, TMS does not require general anaesthetic, does not require administration for months or years, is effective and has fewer side-effects than antidepressants, although it can cause transient discomfort, particularly in its repetitive form.

Exercise and neurofeedback

Less controversially, exercise therapy is beneficial for children, including preschoolers, with intellectual disabilities and possibly for attention-deficit hyperactivity disorder (ADHD) across the ability range (Reference Berwid and HalperinBerwid 2012). However, there have been no trials of exercise therapy for either ADHD in preschoolers without developmental delays, or for emotional disorders in any ability range, despite promising studies showing attenuating depression and anxiety in adults. There also continues to be no evidence – despite claims to the contrary – for the successful use of coordination training such as the Dore programme to treat ADHD, dyslexia or Asperger syndrome (Reference BishopBishop 2007). Although developed by psychologists, biofeedback is a physical treatment, as it focuses on direct modification of aspects of physical function rather than behaviour. Biofeedback of electroencephalographic recordings (sometimes called neurofeedback) probably improves symptoms of ADHD (Reference Lofthouse, Arnold and HerschLofthouse 2012), but its effect on autism is less clear. However, all studies have been on school-aged children or adults.

Clearly, some of these physical treatments are highly invasive, and should be reserved for very rare and severe cases. However, there appears to have been insufficient research conducted in preschool children even for physical treatments such as exercise or neurofeedback.

Psychotropic medication

In the 1990s, prescribing rates for psychotropic medication in preschoolers in the USA were reported at between 3 and 9 per 1000, possibly inflated by some prescriptions for parents not covered by Medicaid, and most prescriptions were for stimulants. A randomised controlled trial found that, while efficacious, stimulant medication in this group showed smaller effect sizes than in older children, a different side-effect profile and a greater withdrawal rate (Reference Wigal, Greenhill and ChuangWigal 2006): the researchers recommended a ‘start low and go slow’ policy in this age group. A later US review identified prescriptions of antipsychotics to privately insured preschoolers rising from 0.78 per 1000 in 1999–2000 to 1.54 per 1000 in 2007, with less than half receiving psychological treatment, a mental health assessment or a visit from a psychiatrist (Reference Olfson, Crystal and HuangOlfson 2010). The associated diagnoses were either ADHD or disruptive behaviour disorders: durations of treatment were lengthy and polypharmacy common. Introduction of a pre-approval system reduced the rate of requests, but a higher proportion of those continuing to submit were not child psychiatrists (Reference Constantine, Bengtson and MurphyConstantine 2012). Antipsychotics have only weak efficacy for ADHD and the core symptoms of autistic disorders, but carry similarly significant metabolic and neurological risks in this age range. Second-generation antipsychotics are effective for disruptive behaviour disorders, but in this age range parenting programmes are also effective, as discussed in the next section, and have better side-effect profiles. There is little information available on medication for emotional disorders in 0- to 4-year-olds.

Thus, although some children aged 0–4 may benefit from psycho pharmacology, and drugs effective in older children are effective in this age range also, the evidence suggests that its use in such young children carries a less favourable balance of benefits and harms than in older children, as well as having less supporting evidence, and so more caution is advised.

Psychological and social treatments

The treatment of ADHD illustrates how approaches for older children might have to be modified for those of preschool age. It is frequently forgotten that, even for school-age children, well-designed psychological treatments for ADHD have an effect, albeit less than medication, and with little evidence of additive benefit. With preschool children, the picture is different. Reference Greenhill, Kollins and AbikoffGreenhill et al (2006) report an effect size for methylphenidate of 0.55 (probability of replication: 0.95) following behavioural treatment. The Incredible Years parenting programme has been reported to have an effect size of 0.73 (probability of replication: 0.96) for immediate effect on ADHD symptoms, which was maintained at 18-month follow-up (Reference Jones, Daley and HutchingsJones 2008). A parenting intervention specifically designed to target ADHD symptoms achieved an effect size of 0.79 (probability of replication: 0.99), maintained at 15 weeks. However, the programme could not be implemented effectively by newly trained staff outside the envelope of specialist care (Reference Sonuga-Barke, Thompson and DaleySonuga-Barke 2004). The success of this approach using specialist delivery may have been replicated (Reference Thompson, Laver-Bradbury and AyresThompson 2009), although the very high effect sizes reported could reflect the combination of a high drop-out rate and failure to analyse using intention to treat. However, a meta-analysis (Reference Sonuga-Barke, Brandeis and CorteseSonuga-Barke 2013) conducted to remove ‘founder effects’ (i.e. bias associated with assessments by the developer of the intervention) found that, overall, psychological treatment had no significant effect on the core ADHD symptoms (overactivity, impulsivity and inattention). This same meta-analysis confirmed modest effect sizes for the benefit of free fatty acid supplementation and artificial food colour exclusion, suggesting their utility in a public mental health, though not clinical, context.

High levels of heterogeneity between studies and variable study quality have also characterised early interventions for autism, although effect sizes at least as large as for drug treatment have been reported, and some trends are evident. Guidelines based on a systematic review of studies reporting outcomes in the preschool period concluded that children with autism spectrum disorders require a minimum of 25 h a week of behaviourally focused programmes, possibly including a developmental component (Reference Maglione, Gans and DasMaglione 2012). Not only does there seem to be a dose–response relationship between time taken and effectiveness, but a large well-designed study in preschoolers using a focused parent-training approach achieved only small effect sizes on an intervention lasting 6.5 h a week (2.5 h of which were dedicated to unsupported homework) (Reference Green, Charman and McConachieGreen 2010). Despite the large initial outlay required, the return on investment for such intensive treatments, estimated by cost-offset modelling and assuming intervention at 3 years of age, is around 11 to 1 (Reference Peters-Scheffer, Didden and KorziliusPeters-Scheffer 2012) by 65 years, consistent with Heckman’s model discussed above, and is equivalent to an annualised return of about 16%. It seems unlikely that treatments of the intensity and specificity required could be delivered outside specialist settings.

The implication of the admittedly sparse literature is that psychological treatment of preschoolers with significant autistic symptoms is to be preferred to drug treatment where possible, and is best delivered from specialist centres rather than in primary care. For ADHD, the failure to demonstrate the impact of psychological treatment on its core symptoms should not undermine decisions to prescribe it for associated comorbidity and disability, where indicated. However, it seems likely that this will require significant reconfiguration of current secondary care services. In the UK at present it takes, on average, 500 days for a referral for ADHD to lead to treatment, which is clearly far too long for a preschool intervention, while the implementation of intensive treatment for autism will require quite different resourcing from that offered by the typical current CAMHS team (Reference ForemanForeman 2010). Resolving these issues will require skilled clinical leadership.

Conclusions

Understanding of psychiatric diagnosis, epidemiology and treatment options for children aged 0–4 has changed greatly in the past 10 years, and the current disengagement that UK child psychiatry has with this age range is no longer warranted. Conventional diagnostic systems are appropriate for this age range, provided it is understood that development may affect symptom expression, whereas convincing evidence for developmentally specific syndromes is lacking. This has allowed the development of instruments which demonstrate that the epidemiology of psychiatric disorders in 0- to 4-year-olds includes similar types and rates of disorder as in older children, with comparable disability. Two strands for intervention seem to hold particular promise for the future: engaging with the public mental health of this age range for both primary and secondary prevention; and psychological treatment of preschool autism and ADHD in secondary care. Both offer cost-effective treatment and prevention opportunities, but will require changes in service configuration, including appropriate child psychiatric engagement.

Public mental health is a newly emerging concept, but for young children, the Integrated Management of Childhood Illness (IMCI) strategy has proved effective and affordable in countries much poorer than the UK (Reference Rakha, Abdelmoneim and FarhoudRakha 2013). Developed by the World Health Organization and UNICEF, IMCI targets a relatively small number of common illnesses with high morbidity and mortality by using simple, specific detection tools and treatments administered by primary care personnel. As this article has shown, similar tools and interventions are now available for the small number of conditions contributing to the burden of mental disorder in this age group, so the IMCI approach, which would situate appropriately trained and experienced child psychiatrists working in a teaching and consultative role with dedicated primary care staff, could well offer considerable dividends.

There is now also good understanding of psychological treatments for preschool children in secondary care; the major difficulties are establishing appropriate infrastructure to ensure sustained, high-quality delivery. Although the benefits of such interventions seem clear, there have been no studies of the economics driving the decisions that enable or disable infrastructure in this field, and disinvestment is currently occurring despite the opposing weight of academic and political opinion. Interdisciplinary research involving child psychiatrists, academic managers and health economists is likely to be needed if such services are to be successfully established.

MCQs

Select the single best option for each question stem

  1. 1 In a 2012 survey, the proportion of UK child psychiatrists who felt that general CAMHS services are not appropriate for the needs of children under 5 was:

    1. a 8%

    2. b 15%

    3. c 28%

    4. d 45%

    5. e 69%.

  2. 2 In the same survey, the proportion of non-specialist child psychiatrists who reported seeing not more than four children under 5 each month was:

    1. a 34%

    2. b 51%

    3. c 64%

    4. d 79%

    5. e 93%.

  3. 3 Which of the following is an assessment tool that involves an observer or parent arranging a set of descriptors of infant behaviour?

    1. a 3Di

    2. b DISCO

    3. c Attachment Q-Sort

    4. d K-SADS-PL

    5. e PAS-R.

  4. 4 The immediate effect size on ADHD reported for the Incredible Years parenting programme was:

    1. a 0.12

    2. b 0.29

    3. c 0.56

    4. d 0.73

    5. e 0.91.

  5. 5 Peters-Scheffer et al reported a return on investment by age 65 for intensive psychological intervention at age 3 of:

    1. a 2 to 1

    2. b 4 to 1

    3. c 6 to 1

    4. d 11 to 1

    5. e 20 to 1.

MCQ answers

1 c 2 e 3 c 4 d 5 d

Footnotes

Learning Objectives

Understand the nature of psychiatric illnesses in preschool children, recognising that presentations may differ but the underlying conditions are similar to those observed in older age groups

Appreciate the range and relative merits of diagnostic instruments available for identifying psychiatric disorders in this age group

Recognise the effectiveness of various treatment modalities, especially public mental health and psychological approaches

Declaration of Interest

None

This is an updated version of a chapter published in Huline-Dickens S (ed) (2014) Clinical Topics in Child and Adolescent Psychiatry. RCPsych Publications.

References

Aarnoudse-Moens, CSH, Weisglas-Kuperus, N, van Goudoever, JB et al (2009) Meta-analysis of neurobehavioral outcomes in very preterm and/or very low birth weight children. Pediatrics, 124: 717–28.CrossRefGoogle ScholarPubMed
Ansorge, MS, Hen, R, Gingrich, JA (2007) Neurodevelopmental origins of depressive disorders. Current Opinion in Pharmacology, 7: 8-17.CrossRefGoogle ScholarPubMed
Bauer, A, Parsonage, M, Knapp, M et al (2014) Costs of Perinatal Mental Health Problems. LSE and Centre for Mental Health Research.Google Scholar
Bayer, JK, Rapee, RM, Hiscock, H et al (2011) The Cool Little Kids randomised controlled trial: population-level early prevention for anxiety disorders. BMC Public Health, 11: 11.CrossRefGoogle ScholarPubMed
Berwid, OG, Halperin, JM (2012) Emerging support for a role of exercise in attention-deficit/hyperactivity disorder intervention planning. Current Psychiatry Reports, 14: 543–51.CrossRefGoogle ScholarPubMed
Birmaher, B, Ehmann, M, Axelson, DA et al (2009) Schedule for affective disorders and schizophrenia for school-age children (K-SADS-PL) for the assessment of preschool children: a preliminary psychometric study. Journal of Psychiatric Research, 43: 680–6.CrossRefGoogle ScholarPubMed
Bishop, DV (2007) Curing dyslexia and attention-deficit hyperactivity disorder by training motor co-ordination: miracle or myth? Journal of Paediatrics and Child Health, 43: 653–5.CrossRefGoogle ScholarPubMed
Bufferd, SJ, Dougherty, LR, Carlson, GA et al (2011) Parent-reported mental health in preschoolers: findings using a diagnostic interview. Comprehensive Psychiatry, 52: 359–69.CrossRefGoogle ScholarPubMed
Constantine, R, Bengtson, MA, Murphy, T et al (2012) Impact of the Florida Medicaid Prior-Authorization Program on use of antipsychotics by children under age six. Psychiatric Services, 63: 1257–60.CrossRefGoogle ScholarPubMed
Delobel-Ayoub, M, Kaminski, M, Marret, S et al (2006) Behavioral outcome at 3 years of age in very preterm infants: the EPIPAGE study. Pediatrics, 117: 1996-2005.CrossRefGoogle ScholarPubMed
Dennison, U, McKernan, D, Cryan, J et al (2012) Schizophrenia patients with a history of childhood trauma have a pro-inflammatory phenotype. Psychological Medicine, 42: 1865–71.CrossRefGoogle ScholarPubMed
de Wolff, MS, Theunissen, MH, Vogels, AG et al (2013) Three questionnaires to detect psychosocial problems in toddlers: a comparison of the BITSEA, ASQ:SE, and KIPPPI. Academic Pediatrics, 13: 587–92.CrossRefGoogle ScholarPubMed
Earls, F (1982) Application of DSM-III in an epidemiological study of preschool children. American Journal of Psychiatry, 139: 242–3.Google Scholar
Egger, HL, Erkanli, A, Keeler, G et al (2006) Test-retest reliability of the Preschool Age Psychiatric Assessment (PAPA). Journal of the American Academy of Child & Adolescent Psychiatry, 45: 538–49.Google ScholarPubMed
Egger, HL, Emde, RN (2011) Developmentally sensitive diagnostic criteria for mental health disorders in early childhood: the Diagnostic and Statistical Manual of Mental Disorders-IV, the Research Diagnostic Criteria-Preschool Age, and the Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood-Revised. American Psychologist, 66: 95-106.CrossRefGoogle ScholarPubMed
Embry, DD (2011) Behavioral vaccines and evidence-based kernels: nonpharmaceutical approaches for the prevention of mental, emotional and behavioral disorders. Psychiatric Clinics of North America, 34: 1-34.CrossRefGoogle ScholarPubMed
Falkmer, T, Anderson, K, Falkmer, M et al (2013) Diagnostic procedures in autism spectrum disorders: a systematic literature review. European Child & Adolescent Psychiatry, 22: 329–40.CrossRefGoogle ScholarPubMed
Ford, JD (2010) Complex adult sequelae of early life exposure to psychological trauma. In The Impact of Early Life Trauma on Health and Disease: The Hidden Epidemic (eds Lanius, RA, Vermetten, E, Pain, C) 69-76. Cambridge University Press.CrossRefGoogle Scholar
Foreman, DM (2010) The impact of governmental guidance on the time taken to receive a prescription for medication for ADHD in England. Child and Adolescent Mental Health, 15: 12–7.CrossRefGoogle ScholarPubMed
Gleason, MM, Zamfirescu, A, Egger, HL et al (2011) Epidemiology of psychiatric disorders in very young children in a Romanian pediatric setting. European Child & Adolescent Psychiatry, 20: 527–35.CrossRefGoogle Scholar
Goodman, A, Goodman, R (2011) Population mean scores predict child mental disorder rates: validating SDQ prevalence estimators in Britain. Journal of Child Psychology and Psychiatry, 52: 100–8.CrossRefGoogle ScholarPubMed
Green, J, Charman, T, McConachie, H et al (2010) Parent-mediated communication-focused treatment in children with autism (PACT): a randomised controlled trial. Lancet, 375: 2152–60.CrossRefGoogle ScholarPubMed
Greenhill, L, Kollins, S, Abikoff, H et al (2006) Efficacy and safety of immediate-release methylphenidate treatment for preschoolers with ADHD. Journal of the American Academy of Child & Adolescent Psychiatry, 45: 1284–93.Google ScholarPubMed
Gudmundsson, OO, Magnusson, P, Saemundsen, E et al (2013) Psychiatric disorders in an urban sample of preschool children. Child and Adolescent Mental Health, 18: 210–7.CrossRefGoogle Scholar
Hamre, BK, Pianta, RC, Mashburn, AJ et al (2012) Promoting young children's social competence through the preschool PATHS curriculum and MyTeachingPartner professional development resources. Early Education and Development, 23: 809–32.CrossRefGoogle ScholarPubMed
Heckman, JJ (2008) Schools, skills, and synapses. Economic Inquiry, 46: 289-324.CrossRefGoogle ScholarPubMed
Jones, K, Daley, D, Hutchings, J et al (2008) Efficacy of the Incredible Years Programme as an early intervention for children with conduct problems and ADHD: long-term follow-up. Child: Care, Health and Development, 34: 380–90.CrossRefGoogle ScholarPubMed
Karlsgodt, KH, Ellman, LM, Sun, D et al (2012) The neurodevelopmental hypothesis of schizophrenia. In Schizophrenia: The Final Frontier. A Festschrift for Robin M. Murray (eds David, AS, Kapur, S, McGuffin, P) 3-18. Psychology Press.Google Scholar
Keenan, K, Shaw, D, Walsh, B et al (1997) DSM-III-R disorders in preschool children from low-income families. Journal of the American Academy of Child & Adolescent Psychiatry, 36: 620–7.Google ScholarPubMed
Klinkenberg, S, van den Bosch, CN, Majoie, H et al (2013) Behavioural and cognitive effects during vagus nerve stimulation in children with intractable epilepsy: a randomized controlled trial. European Journal of Paediatric Neurology, 17: 82-90.CrossRefGoogle ScholarPubMed
Knapp, M, McDaid, D, Parsonage, M (2011) Mental Health Promotion and Mental Illness Prevention: The Economic Case. Department of Health.Google Scholar
Lavigne, JV, Gibbons, RD, Christoffel, KK et al (1996) Prevalence rates and correlates of psychiatric disorders among preschool children. Journal of the American Academy of Child & Adolescent Psychiatry, 35: 204–14.Google ScholarPubMed
Lavigne, JV, LeBailly, SA, Hopkins, J et al (2009) The prevalence of ADHD, ODD, depression, and anxiety in a community sample of 4-year-olds. Journal of Clinical Child & Adolescent Psychology, 38: 315–28.CrossRefGoogle Scholar
Lofthouse, N, Arnold, LE, Hersch, S et al (2012) A review of neurofeedback treatment for pediatric ADHD. Journal of Attention Disorders, 16: 351–72.CrossRefGoogle ScholarPubMed
Lowell, DI, Carter, AS, Godoy, L et al (2011) A randomized controlled trial of Child FIRST: a comprehensive home-based intervention translating research into early childhood practice. Child Development, 82: 193-208.CrossRefGoogle Scholar
Maglione, MA, Gans, D, Das, L et al (2012) Nonmedical interventions for children with ASD: recommended guidelines and further research needs. Pediatrics, 130 (suppl 2): S169-78.CrossRefGoogle ScholarPubMed
McDaid, D, Park, AL (2011) Investing in mental health and well-being: findings from the DataPrev project. Health Promotion International, 26 (suppl 1): i108-39.CrossRefGoogle ScholarPubMed
Meltzer, H, Gatward, R, Goodman, R et al (2000) Mental Health of Children and Adolescents in Great Britain. TSO (The Stationery Office).CrossRefGoogle Scholar
Merry, SN, Hetrick, SE, Cox, GR et al (2012) Cochrane Review: Psychological and educational interventions for preventing depression in children and adolescents. Evidence-Based Child Health: A Cochrane Review Journal, 7: 1409–685.CrossRefGoogle Scholar
Miller, GE, Chen, E, Parker, KJ (2011) Psychological stress in childhood and sus ceptibility to the chronic diseases of aging: moving toward a model of behavioral and biological mechanisms. Psychological Bulletin, 137: 959–97.CrossRefGoogle Scholar
Minnis, H, Reekie, J, Young, D et al (2007) Genetic, environmental and gender influences on attachment disorder behaviours. British Journal of Psychiatry, 190: 490–5.CrossRefGoogle ScholarPubMed
Möricke, E, Lappenschaar, GAM, Swinkels, SH et al (2013) Latent class analysis reveals five homogeneous behavioural and developmental profiles in a large Dutch population sample of infants aged 14–15 months. European Child & Adolescent Psychiatry, 22: 103–15.CrossRefGoogle Scholar
Mothander, PR, Grette Moe, R (2008) Infant Mental Health assessment: the use of DC 0–3 in an outpatient child psychiatric clinic in Scandinavia. Scandinavian Journal of Psychology, 49: 259–67.CrossRefGoogle Scholar
Nores, M, Barnett, WS (2010) Benefits of early childhood interventions across the world: (under) investing in the very young. Economics of Education Review, 29: 271–82.CrossRefGoogle Scholar
Olfson, M, Crystal, S, Huang, C et al (2010) Trends in antipsychotic drug use by very young, privately insured children. Journal of the American Academy of Child & Adolescent Psychiatry, 49: 13-23.Google ScholarPubMed
Peters-Scheffer, N, Didden, R, Korzilius, H et al (2012) Cost comparison of early intensive behavioral intervention and treatment as usual for children with autism spectrum disorder in the Netherlands. Research in Developmental Disabilities, 33: 1763–72.CrossRefGoogle ScholarPubMed
Rakha, MA, Abdelmoneim, AM, Farhoud, S et al (2013) Does implementation of the IMCI strategy have an impact on child mortality? A retrospective analysis of routine data from Egypt. BMJ Open, 3 (1): doi 10.1136/bmjopen-2012–001852.Google ScholarPubMed
Saigal, S, Pinelli, J, Streiner, DL et al (2010) Impact of extreme prematurity on family functioning and maternal health 20 years later. Pediatrics, 126: e81-8.CrossRefGoogle ScholarPubMed
Sonuga-Barke, EJ, Thompson, M, Daley, D et al (2004) Parent training for attention deficit/hyperactivity disorder: is it as effective when delivered as routine rather than as specialist care? British Journal of Clinical Psychology, 43: 449–57.CrossRefGoogle ScholarPubMed
Sonuga-Barke, EJ, Brandeis, D, Cortese, S et al (2013) Nonpharmacological interventions for ADHD: systematic review and meta-analyses of randomized controlled trials of dietary and psychological treatments. American Journal of Psychiatry, 170: 275–89.CrossRefGoogle ScholarPubMed
Sterba, S, Egger, HL, Angold, A (2007) Diagnostic specificity and nonspecificity in the dimensions of preschool psychopathology. Journal of Child Psychology and Psychiatry, 48: 1005–13.CrossRefGoogle ScholarPubMed
Szaniecki, E, Barnes, J (2015) Measurement issues: measures of infant mental health. Child and Adolescent Mental Health, 23 Apr: doi 10.1111/camh.12105 [online ahead of print].CrossRefGoogle Scholar
Thompson, MJ, Laver-Bradbury, C, Ayres, M et al (2009) A small-scale randomized con trolled trial of the revised new forest parenting programme for preschoolers with attention deficit hyperactivity disorder. European Child & Adolescent Psychiatry, 18: 605–16.CrossRefGoogle Scholar
Twenge, JM (2011) Generational differences in mental health: are children and adolescents suffering more, or less? American Journal of Orthopsychiatry, 81: 469–72.CrossRefGoogle ScholarPubMed
Walter, G, Rey, JM, Ghaziuddin, N et al (2010) Electroconvulsive therapy, transcranial magnetic stimulation, and vagus nerve stimulation. In Pediatric Psychopharmacology: Principles and Practice (2nd edn) (eds Martin, A, Scahill, L, Kratochvil, CJ) 363-375. Oxford University Press.CrossRefGoogle Scholar
Wichstr⊘m, L, Berg-Nielsen, TS, Angold, A et al (2012) Prevalence of psychiatric disorders in preschoolers. Journal of Child Psychology and Psychiatry, 53: 695-705.CrossRefGoogle Scholar
Wigal, T, Greenhill, L, Chuang, S et al (2006) Safety and tolerability of methylphenidate in preschool children with ADHD. Journal of the American Academy of Child & Adolescent Psychiatry, 45: 1294–303.Google ScholarPubMed
Wiggins, LD, Bakeman, R, Adamson, LB et al (2007) The utility of the social communication questionnaire in screening for autism in children referred for early intervention. Focus on Autism and Other Developmental Disabilities, 22: 33–8.CrossRefGoogle Scholar
Figure 0

TABLE 1 Epidemiology of psychiatric disorders in preschool children

Figure 1

TABLE 2 Instruments useful in the assessment of children aged 0–4

Submit a response

eLetters

No eLetters have been published for this article.