Does routine child health surveillance contribute to the early detection of children with pervasive developmental disorders? – An epidemiological study in Kent, U.K.
© Tebruegge et al; licensee BioMed Central Ltd. 2004
Received: 11 December 2003
Accepted: 03 March 2004
Published: 03 March 2004
Recently changed guidelines for child health surveillance in the United Kingdom (U.K.) suggest targeted checks only, instead of the previously conducted routine or universal screening at 2 years and 3.5 years. There are concerns that these changes could lead to a delay in the detection of children with autism and other pervasive developmental disorders (PDD). Recent U.K. studies have suggested that the prevalence of PDD is much higher than previously estimated. This study establishes to which extent the routine checks contributed to the early detection and assessment of cases of PDD. Simultaneously we have evaluated the process involved and estimate the prevalence of PDD in our district.
Retrospective study design utilising community medical files. Headteachers of schools (n = 75) within Maidstone district (Kent) were asked to report all children with an established diagnosis of autism or PDD attending year 4 (born '91 and '92 / n = 2536) in October 2000 based on educational records.
59 schools (78.7%) took part in the study. A total of 33 children were reported. 21 fulfilled the inclusion criteria (12 falsely reported). The prevalences were (per 10,000): PDD 82.8 (male to female ratio 6:1), childhood autism 23.7, Asperger's syndrome 11.8 and autistic spectrum disorder 47.3. Co-existing medical conditions were noted in 14.3%; 52.4% were attending mainstream schools. In 63.2% of cases concerns – mainly in the area of speech and language development (SLD) – had been documented at the 2 year check. At the 3.5 year check concerns were noted in 94.1% – the main area was again SLD (76.5%), although behavioural abnormalities were becoming more frequent (47.1%). A total of 13 children (68.4%) were referred for further assessment as a direct result of the checks.
The prevalences for different types of PDD were similar to figures published recently, but much higher than reported a few years ago. Analysis of our data suggests that routine surveillance is a valuable contributing factor for the early detection of PDD and thereby facilitates early intervention. Thus, if routine surveillance ceases, then an alternative method of early detection should be put in place.
Keywordsautism Asperger's syndrome pervasive developmental disorder autistic spectrum disorder child health surveillance
Autism and other pervasive developmental disorders (PDD) continue to be an area of major public concern, especially in the light of recent debates about possible links between the MMR vaccine and these conditions. An increasing number of publications have since demonstrated that there is no association between the vaccine and the development of autism or PDD [1–3].
Since 1966, when the first epidemiological survey of autistic conditions in England was published by Lotter , several studies have been performed worldwide. However, there has been little epidemiological data available in the last decade regarding the United Kingdom until Chakrabarti and Fombonne  published a survey conducted amongst pre-school children. The authors found that the rates of PDD were considerably higher in their population than in previous reports.
Routine Child Health Surveillance – which includes a 2-year and a 3.5-year check – used to be an important screening tool for the paediatric population in the United Kingdom. The assessments, which were carried out by a health professional, consisted of testing and enquiring about vision, hearing, motor development, speech development and behavioural aspects. The latter two areas are particularly of relevance in the detection of PDD.
In recent years many Community Child Health Departments have ceased to carry out routine 2-year and 3.5-year developmental surveillance checks. Instead of the universal screening of the entire population, targeted or selective screening has been introduced in many areas. Some health care trusts have been forced to adopt these policies earlier because of financial constraints and shortage of staff.
There have been concerns about the possibility that this change could consequently lead to a later detection of cases of PDD, especially at the "milder end" of autistic spectrum disorders. Early detection of these children and intervention is essential, since this can lead to considerable improvement in outcome as previously demonstrated by various authors [6–8].
In this study we tried to assess to what extent the 2- and 3.5-year check (in a period when these checks were routinely carried out) contributed to the early detection of PDD. Simultaneously we intended to estimate the prevalence of the different types of PDD in our area and evaluate the process which has led to the diagnosis of these cases. Another aim was to obtain more detailed information about these patients, such as gender distribution, coexisting medical conditions, therapeutic interventions and schooling.
This retrospective study was conducted on a paediatric population in Maidstone district (Kent, U.K.). The area comprises of a mixture of urban, rural and semi-industrial areas. The total population living in this area was 220.239 in June 2000 (49.0 % male, 51.0% female). The majority of the population was of British Caucasian origin, with a relatively small proportion of immigrants and foreigners of 1.4 %, predominately of Indian (n = 763) and Afro-Carribean (n = 592) origin. The social class distribution based on occupation was as follows: I 4.8%, II 32.5%, III manual 19.7%, III non-manual 24.5%, IV 13.2% and V 5.4%.
We included all school children who were attending year 4 in the 75 schools (born in 1991–1992, aged 8–9 years) within in the catchment area of the Maidstone district on the 1st of October 2000. Since many features of PDD become more pronounced with increasing age we decided to concentrate on this particular age group of children. By that age the majority of children with significant autistic difficulties are likely to have presented. The total number of children included in the survey was 2,536.
Headteachers and Special Educational Needs Coordinators of all primary schools were informed about this study by written correspondence. They were asked to provide a list – based on their educational records – of all children attending their school who were believed to have a definite or established diagnosis of any of the following disorders: autism, autistic spectrum disorder, Asperger's syndrome, semantic pragmatic language disorder, pervasive developmental disorder or atypical autism.
The next step was to obtain the community medical files of all children reported by the schools. These files contain information about child health surveillance assessments, medical problems and treatment, developmental assessments, therapy reports and the statements for special educational needs. The files were systematically reviewed by two of the authors (V.N. and M.T.) to obtain information about the diagnosis, age at diagnosis and which type of professional had made the diagnosis. The diagnostic validity was checked by matching symptoms documented in the notes against ICD-10 criteria. Each of the two authors reviewed the notes independently and assigned the child to one of the 3 categories outlined below.
We focused on the pre-school health surveillance checks performed at 2 years and 3.5 years to assess if and which concerns had been documented and whether they had been acted upon. The initial referral was considered to be the direct result of a routine check if the referral was made within 4 weeks following the check.
Further details which we included were therapeutic interventions, additional assistance at school, whether the child was statemented for special educational needs and whether the child was attending a mainstream-school or a specialised school.
For the purpose of this study we have chosen to divide our patients with pervasive developmental disorder (PDD) into three groups: childhood autism, Asperger's syndrome and autistic spectrum disorder. In this paper we are using the term childhood autism according to ICD-10 criteria to describe children who have been referred to as "infantile autism", "autistic disorder" or "autistic syndrome" by other authors. Asperger's syndrome was defined by using ICD-10 criteria and the widely used criteria published by Gillberg and Gillberg . The term autistic spectrum disorder is used to describe a collection of all other pervasive developmental disorders not fulfilling the criteria of the other two categories, including atypical autism and semantic pragmatic language disorder (ICD-10 categories F 84.1, F 84.8 and F 84.9).
Out of 75 schools within the Maidstone district 59 (78.7%) responded. The other 16 schools (21.3%) did not participate in the study, despite repeated correspondence and assurance that they would not be breaching confidentiality as this was a survey of known medical details and no family would be contacted. All schools for children with special needs including the unit for the hearing impaired took part in the study. The total number of children attending year 4 within our area at the time when the study was undertaken was 2,536.
The total number of children reported was 33. The community medical files of all these children were obtained and independently reviewed by the authors as described above. The concordance between reviewers regarding assignment of cases to a particular diagnostic category or exclusion from the study (i.e. falsely reported case) was 100%.
Diagnosis in the group of falsely reported children
Diagnosis / condition
Number of children
sensorineural hearing loss
speech and language delay
Out of the 21 children (total prevalence of PDD 82.8 per 10.000) who fitted the inclusion criteria 6 had a diagnosis of childhood autism (prevalence 23.7 per 10.000), 3 had Asperger's syndrome (prevalence 11.8 per 10.000) and 12 had autistic spectrum disorder (prevalence 47.3 per 10.000). The male:female ratio for the whole group was 6:1. All children diagnosed with childhood autism were male.
Mean age at diagnosis
Number of patients
Mean age at diagnosis
2.75 – 3.50
5.75 – 9.25
Autistic spectrum disorder
3.33 – 9.42
In 14 patients (66.7%) the diagnosis was established at pre-school age, 7 (33.3%) were diagnosed after entering school (>5.0 years of age).
The majority of children (n = 14 / 66.7 %) were assessed and diagnosed by Consultant Community Paediatricians. In three cases the diagnosis was made by experienced Community Child Health doctors. One child with Asperger's syndrome was diagnosed by a Consultant Psychiatrist and another child with atypical autism by a multidisciplinary team at a tertiary referral centre. Two children with semantic pragmatic language disorder were diagnosed by Speech and Language Therapists.
All 14 children diagnosed by the Consultant Community Paediatricians were also regularly followed up by them or the school health service. One patient with Asperger's syndrome was followed up by the Child and Adolescent Mental Health Service. All 21 children who were included into the study had previously been assessed and treated by the Speech and Language Therapy team, most of them continued to be seen by that department.
Coexisting conditions were documented in 10 children (47.6%). The most common condition was ADHD, present in 5 children (23.8%). One patient (4.8%) was diagnosed with dyspraxia and one with dyslexia. Two patients (9.5%) were suffering from epilepsy and one had hydrocephalus.
Eleven children (52.4%) were attending mainstream schools, ten (47.6%) were attending special schools. All but one child diagnosed with childhood autism were attending special schools. A total of 19 children (90.5 %) were formally statemented for special educational needs and received additional support at school. Two children (9.5%) – one child with Asperger's syndrome and one with semantic pragmatic language disorder – had not been statemented, but received additional support in the school setting.
The 2-year check had been carried out in all 19 children born in our area as part of the routine pre-school health surveillance. Two patients had moved into the area after two years of age. In both cases information on health-checks was not available.
Areas of concern documented at the 2 year check
Areas of concern at 2 yrs
Number of cases
Speech and language development
Areas of concern documented at the 3.5 year check
Area of concern at 3.5 yrs
Number of cases
Speech and language development
Areas of concern raised in the initial referral letter
Area of concern at referral
Number of children
Speech and language development
Short attention span
The next stage of the study was to assess the number of referrals which were made as a direct result of the routine checks. A total of 13 children (68.4%) were referred for further specialist assessment as an outcome of the checks – 5 children (26.3%) and 8 children (42.1%) following the 2-year and 3.5-year checks respectively. In 6 cases (31.6%) referrals were made unrelated to the routine checks. One child was referred before the 2-year check, 2 children were referred between the 2-year and 3.5-year checks and 3 children were referred sometime after the 3.5-year check.
In this study we found the prevalence of PDD was at least 82.8 per 10.000 children which is even higher than previously reported. We consider this to be the minimum prevalence rather than the actual prevalence as a quarter of the schools did not respond. This relatively high prevalence may be accounted for by the fact that we concentrated on school-age children rather than on pre-school children like Chakrabarti and Fombonne , who reported a prevalence of 62.6 per 10.000. Fourteen children in our study population had been diagnosed before school entry, which would equal a prevalence of 55.2 per 10.000 at that point in time. However, it is noteworthy that the National Autistic Society (NAS) recently estimated the total prevalence of PDD to be 91 per 10,000 .
Observations of other authors support the impression that the incidence – and thereby also prevalence – of PDD has increased over the last decade [11–14]. Powell et al.  found that the incidence of autistic spectrum disorders in their population appeared to have increased by 55% per year over a five year period (1991–1996). The authors of this paper came to the conclusion that clinicians were becoming increasingly able and willing to make this diagnosis in pre-school children, rather than the data reflecting a "true" rise in number of cases. This theory has since been supported by a number of recent publications [14–16]. Interestingly, a recent epidemiological study in the U.K. has suggested that the incidence of PDD appears to have stabilised in the last few years .
In our study the prevalence of 23.7 per 10.000 for childhood autism was also higher than previously reported by other authors [5, 17, 18]. However, two recently published studies from groups in the United States have reported similar figures. Croen et al. reported a prevalence of 14.9 per 10.000 in Californian children , while the prevalence reported by Bertrand et al. in children from New Jersey was 40.0 per 10.000 .
Our prevalence for Asperger's syndrome (11.8 per 10.000) was lower than reported by Ehlers and Gillberg  (36 per 10.000), but higher than recently published by Chakrabati and Fombonne . Again the explanation for the higher incidence of Asperger's syndrome in comparison to the latter group is likely to be due to the difference in age of our populations. Two of our three patients in this subgroup were only diagnosed after school entry.
It was reassuring to find that all children in our study were assessed and treated by the Speech and Language Therapy team and received additional support at school, with the majority (90.5%) having been statemented for special educational needs. A tendency for improvements regarding statementing and special provisions at school for children with PDD has previously been reported by Smith et al. .
For a considerable proportion of children with PDD (36.8%), no areas of concern were noted at the 2-year child health surveillance check. In contrast to this in nearly all cases of PDD (94.1%) abnormalities had been noted at the 3.5-year check. Abnormal development had been documented in all cases of childhood autism at the 2-year check, but a significant amount of "milder" cases of PDD – including all 3 patients later diagnosed with Asperger's syndrome – had not been detected at that stage.
We found that at the 3.5-year check concerns about speech and language development had been raised in about 3/4 of the PDD cases (vs. only 57.9% at 2-year check) and that behavioural concerns were noted far more frequently (47.1% vs. 5.3%). These results suggest that the 3.5-year check – and to a lesser extent the 2-year check – is a valuable contributing factor in the early detection of PDD.
Another important finding was that 68.4% of the children with PDD were referred for further assessment as a direct result of the routine child health surveillance checks. This illustrates that abnormalities were not only noted and documented at the checks, but that action was taken in a large proportion of children to address these issues appropriately.
Recently the Joint Working Party on Child Health Surveillance (U.K.) has published a new edition of "Health For All Children" . The authors of this document are proposing that no formal universal screening should be carried out at 2 years (i.e. 18–24 months) and 3.5 years (i.e. 39–42 months). Instead they recommend a strategy whereby the health visitor negotiates the nature of subsequent reviews at the age of four months with the parents in the light of individual needs. However, at this age characteristic features of PDD would not have developed. This approach would rely mainly on the parents to recognise autistic features or abnormal development and subsequently seek assistance from health care professionals. Awareness training of play group and nursery staff as suggested by the National Initiative for Autism: Screening and Assessment (NIASA) may be an important tool to overcome this problem .
The guidelines that have been proposed by NIASA conclude that primary screening for PDD by the use of tests applied to the whole population at specific ages cannot be recommended, based on previous reports (e.g. by Baird et al. , who reported a low sensitivity of 38% for the CHAT / Checklist for Autism in Toddlers). However, the group of experts endorsed the recommendation that at specific times in the pre-school years (8–12 months, 2–3 years and 3–5 years) there should be a focus on development by a health professional with the parents or carer.
Early diagnosis of PDD is essential to facilitate early intervention. Various forms of intervention have been shown to be beneficial and improve overall outcome in non-randomised studies [7, 27, 28]. More recently, two small randomised controlled trials have demonstrated that early, intensive therapy can improve the intellectual development, language and visual-spatial skills of the affected child as well as significantly increase parent satisfaction [29, 30]
The mainstays of therapy continue to be speech and language therapy and behavioural therapy. One approach is a TEACCH-based (Treatment and Education of Autistic and related Communication handicapped CHildren) home intervention programme, which has repeatedly been shown to be effective. Ozonoff and Cathcart  were able to demonstrate that children participating in this programme improved significantly more than the autistic children in the control group in the areas of fine motor, gross motor and non-verbal conceptual skills. Another promising approach is the NAS EarlyBird Programme. There is already supporting evidence of its efficacy, although long-term data requires further evaluation . The early intensive behavioural intervention method (EIBI) is another behavioural approach which has been reported to be an effective intervention which may produce long-lasting and significant gains for young children with autism [32, 33]. However, the assessment and evaluation of outcomes of interventions in complex disorders such as PDD is difficult and further studies are needed to evaluate the long-term impact of these methods.
We are aware of the limitations of this study, most notably that standardised assessment tools such as the widely used ADI (Autism Diagnostic Interview) were not employed in the initial diagnostic assessment. The diagnoses are based on assessments mainly conducted by experienced Consultants in Community Paediatrics, who are specifically trained for this role, but are observer dependent. This might have led to over-diagnosing or over-inclusion, especially at the "milder" end of the spectrum of PDD. The second major shortfall of this study was that we did not receive a response from all schools – which may have affected our prevalence. However, our epidemiological findings are consistent with observations reported by other authors, who have employed different methods to conduct their surveys.
The prevalences for PDD and the subcategories childhood autism and Asperger's syndrome we established in this study were similar to figures published recently, but much higher than reported a few years ago. Our data suggests that routine child health surveillance at 2 years and 3.5 years is a valuable contributing factor for the early detection of PDD, which ultimately facilitates early intervention. Thus, if routine surveillance ceases, then an appropriate alternative method of early detection should be put in place.
The authors would like to thank all headteachers and Special Educational Needs Co-Ordinators within our region who have kindly contributed information for this study. We would also like to express our gratitude to Dr. Nellie Adjaye, Consultant Community Paediatrician at Maidstone Weald PCT, for all her advice and support. Finally, we would like to thank the staff of the public information section of the Kent County Council who have kindly provided valuable epidemiological data on the population of our district.
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