children with dyspraxia - percieved interventions study

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    O R I G I N A L A R T I C L E

    Children with   “Dyspraxia”: A Survey of Diagnostic

    Heterogeneity, Use and Perceived Effectivenessof Interventions

    Motohide Miyahara   & G. David Baxter

    Published online: 19 April 2011# Springer Science+Business Media, LLC 2011

    Abstract   A survey was distributed to parents at a conference organized by a 

    dyspraxia support group, and mailed twice to the members with the support group’s

    newsletters. Of 118 respondents, 84% reported that their children were diagnosed

    with dyspraxia, whereas 25% stated that their children’s diagnosis was develop-

    mental coordination disorder. All respondents were using food supplements.Moreover, 69% of respondents sent their children to unconventional education or 

    therapy, and 57% provided their children with some form of complementary and

    alternative medicine (CAM). In terms of perceived effectiveness of interventions,

    about half of the parents (53%) reported improvement of physical skills and

    attributed such progress to standard intervention in the mainstream health care and

    education systems in New Zealand. Despite popular use, effectiveness of 

    unconventional education, therapy, or CAM was rarely considered. These findings

    have important implications for parents, health and educational service providers,

     policy makers, and funding bodies.

    Keywords   Survey . Dyspraxia . Developmental coordination disorder . Motor 

    coordination . Complementary medicine

    Parents have great influence on decision-making for their children’s health and

    choice of educational products and services. One of the key factors in the

    J Dev Phys Disabil (2011) 23:439–458

    DOI 10.1007/s10882-011-9239-z

    M. Miyahara (*)

    School of Physical Education, University of Otago, PO Box 56, Dunedin 9054, New Zealand

    e-mail: [email protected]

    G. D. Baxter 

    School of Physiotherapy, University of Otago, PO Box 56, Dunedin 9054, New Zealand

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    decision-making is their beliefs about service and product benefits, or perceived

    effectiveness of interventions in case of children with developmental disabilities.

    One of the less explored developmental disabilities, collectively named dyspraxia 

     by parental support groups in Australia, New Zealand, and the UK is the focus of 

    our interest. Their broad definition of dyspraxia refers to a core movement disorder, and encompasses other developmental disorders and comorbid con-

    ditions which cover almost all childhood disorders in the formal classification

    manuals (Peters et al.   2001). Below we will outline the context to the present 

    study, including the reasons why a broad definition of dyspraxia came to be used,

    and why it is timely and important to investigate diagnostic heterogeneity,

    interventions that these children receive, and how parents perceive the effective-

    ness of such interventions.

    The term, motor dyspraxia has been traditionally used to refer to the problems of 

    motor sequencing and selection exhibited by adult patients with acquired brainlesions, despite their intact motor systems (Miyahara and Möbs   1995). Neuro-

     psychologists originally defined and assessed dyspraxia in terms of a disorder of 

    gestural performance on verbal and imitation command (Dewey   1995; Hill   1998;

    Miyahara, Leeder, Francis, & Inghelbrecht, 2008 ). The term has since been assigned

    at least two new and extended meanings. First, it was used for children with dyslexia 

    when they evidenced motor learning difficulties (Orton   1925). Based on its

    etymology, the term was also applied to the inability to execute a variety of 

    functional activities, such as dressing, drawing figures, and gait (Miyahara and Möbs

    1995). Some therapists use dyspraxia for a broad range of sensory and motor disorders rather arbitrarily (Cummins   1991). Parents’   support groups follow this

    trend to extend the meaning of dyspraxia, and use the term for all sorts of 

    developmental disorders (Peters et al. 2001). As the meaning of dyspraxia expands,

    no single assessment process is capable of diagnosing dyspraxia, and therefore,

    holistic individual assessment is recommended (Sweeney 2007). In sum, a specific

    neuropsychological definition of dyspraxia refers to a disorder of motor sequencing

    and selection, whereas the lay use of dyspraxia extends to a wide variety of 

    childhood disabilities.

    Dyspraxia is the term preferred by parents (Miyahara and Register 2000; Peters et al.

    2001). It is widely accepted that existing health care and educational systems do not 

    sufficiently recognize and manage such children’s difficulties, even in developed

    countries, such as Australia (Hands and Larkin 2001), New Zealand (Miyahara  2001)

    and the UK (Henderson et al.   1991). To address such limited services provision,

     parents typically form groups to support each other by sharing information and

    resources, promoting social awareness, and lobbying for better habilitation services.

    In contrast, developmental coordination disorder (DCD) has been more

    specifically and exclusively defined in the Diagnostic and Statistical Manual of 

    Mental Disorder (DSM-IV-TR)(American Psychiatric Association 2000). Diagnostic

    criteria stipulate the severity of poor motor coordination: it must significantly

    interfere with activities of daily living and academic achievement after chronological

    age and measured intelligence are taken into consideration. Performance levels are

    often assessed with standardized motor performance tests and questionnaires, such

    as the ones included in the Movement Assessment Battery for Children-Second

    Edition(Henderson et al.   2007). Differential diagnosis is also used to distinguish

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    DCD from medical conditions that cause motor incoordination (e.g., cerebral palsy,

    muscular dystrophy), pervasive developmental disorders (PDD), and mental

    retardation (MR). Hence, the diagnosis of the comorbid condition of DCD with

    PDD or MR has been avoided. However, the exclusive criteria of PDD and MR are

    no longer listed in the proposed DSM-5 (American Psychiatric Association, 2010). If the currently proposed changes are made in DSM-5, the comorbid condition of DCD

    with PDD or MR will become acceptable.

    Diagnostic heterogeneity and comorbidity of developmental disabilities thus

    depend on diagnostic criteria that can be artificial and unstable, as in the case

    of DCD. Nonetheless, comorbidity may be useful for indicating a full range of 

    treatment options (First   2005) and strategies (Miyahara, Yamaguchi, and Green

    2008). For treatment of movement problems in children with DCD, for example,

    the functional skill approach is considered legitimate if the intervention is

    conducted to remediate functional motor tasks (Sugden and Dunford  2007). The principle of direct skill training has been also applied to the remediation of 

    various functional skills in intellectual and developmental disabilities in

    educational and rehabilitation settings (Davis and Rehfeldt   2007). If a child has

    dual diagnoses of attention deficit hyperactivity disorder (ADHD) and DCD for a 

    handwriting problem, the standard treatment of behavioral modification and

    stimulant medication may be prescribed for ADHD, and handwriting training

    may be arranged with a remedial education teacher, occupational or physical

    therapist.

    In addition to the standard treatment, children with dyspraxia may also be givencomplementary and alternative medicine (CAM). This is controversial, based upon

    the lack of a sound theoretical base, the absence of evidence of effectiveness, the

     possible waste of time and money, and potential harm (Ernst   2003; Golden 1984).

    While empathizing with parents’ disappointment in conventional treatments, parental

    stress (Gottlieb   1989), and health consumers’   empowerment in contemporary

     postmodern society (Chan and Chan   2000; Vos et al.   2002), medical specialists

    have issued warnings against the use of controversial treatments for ADHD (Gottlieb

    1989), specific learning disabilities (Golden   1984; Gottlieb   1989), and behavioral

     problems (Wolraich 1997). Health consumers have also been advised to be wary of 

    treatments that make claim to a broad range of effects (Golden   1984); for this

     particular reason, sensory integration therapy and perceptual motor training have

     been considered controversial (Sugden and Dunford 2007) and ineffective (Kaplan et 

    al.   1993; Kavale and Mattson   1983; Polatajko et al.   1991; Smith et al.   2005) in

    improving learning disorders (Golden   1984), and behavioral problems (Gottlieb

    1989; Wolraich 1997).

    Investigation of the use of CAM for developmental disabilities has been

    limited to autism spectrum disorder (75%) (Green et al.  2005; Hanson et al. 2007;

    Liptak et al.  2006), ADHD (54%) (Chan et al.  2003), specific learning disabilities

    (55%) (Bull 2009), and severe physical disabilities (Liptak et al.  2006; Rosenbaum

    2003). No research has been conducted to survey the use and the perceived effect 

    of CAM interventions for children labeled as having dyspraxia. Bridging the gap in

    the knowledge base is important because such information will useful for 

    stakeholders to understand the diagnoses that the concerned children receive and

    the parents’   consumer behavior. The data on the parents’   perceived efficacy for 

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    individual treatment would also help other parents to make informed decisions. To

     produce such knowledge, this survey study aimed to answer the following research

    questions:

    &   What kinds of diagnoses do such children receive?&   What kinds of interventions do the children receive?

    &   What are parents’   perceptions of intervention effects with regard to academic

     performance and problem domains?

    Methods

    Participants

    Respondents ( N =118) for this survey were a purposive cluster sample of parents and

    care givers who were affiliated with the Dyspraxia Support Group of New Zealand.

    This was formed in 1992 to help parents support each other by sharing information

    and resources, and increasing awareness and understanding of dyspraxia. Member-

    ship was over 800, including parents, care givers, and professionals in New Zealand,

    Australia, and other countries, of which 260 members subscribed to the group’s

    newsletter, named   Connection.

    Materials

    Survey Questionnaire Development   After reviewing all available CAM survey

    studies on developmental disabilities (Chan et al.  2003; Green et al. 2005; Hanson

    et al.   2007; Liptak et al.   2006; Weber et al.   2008), we decided to use a 

    questionnaire previously used by Quinn et al. (2008) as a template for our study

     because we found the format of the questionnaire (Table  1) most suitable for the

     purposes of our study, and for the nature of our sample. We adapted the questions

    about demographic information on the basis of New Zealand Census (Table   2),

    developmental disabilities (Table 3), and included all interventions appeared in the

    existing CAM survey studies on developmental disabilities (Chan et al.   2003;

    Green et al. 2005; Hanson et al. 2007; Liptak et al. 2006; Weber et al. 2008) in our 

     prototype questionnaire. Although perceptual motor program (PMP) and sensory

    integration are controversial (Sugden and Dunford   2007), PMP, sensory integra-

    tion, and specific learning disorder lessons/remedial training conducted by

    occupational therapists, physiotherapists, psychologists, and resource teachers are

    an integral part of the mainstream educational system in New Zealand, and

    therefore, included in the section of therapy and education instead of the CAM

    section.

    A list of prescribed medication (Table   5) was based on the list in the survey

    conducted by Hanson et al.   (2007). The US brand names for prescription

    medications were converted to New Zealand trade names by an experienced child

     psychiatrist who had worked in both USA and New Zealand; he also suggested

    additions and deletions of medications possibly used by children with dyspraxia.

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     Pilot   Prior to the main survey, the prototype questionnaire was reviewed by the

    International Scientific Committee members of the Developmental Coordination Disorder 

    Research Group, and the president of the Dyspraxia Support Group of New Zealand who

    had over a decade of experience in consulting the group members. The latter person had

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    J Dev Phys Disabil (2011) 23:439–458 443443

    Table 1   Questionnaire outline and exemplary questions. Excerpts from the instruction: You are invited to

    complete all of the following questions about yourself and your child’s intervention…This survey is

    entirely voluntary…There are no right or wrong answers…Your response will only be used for the

     purposes of this research and will be treated in the strictest confidence

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    improvement because of multiple factors involved in the timing, such as the ages of 

    children, time durations after interventions, and the accuracy of memory. Instead, we

    aimed to assess the parents’   subjective impression of improvement from each

    intervention.

    Procedures

    Questionnaires were distributed through the Dyspraxia Support Group of New

    Zealand. The survey of group members was completed in two phases: the first phase

    Table 3   Percentage of respondents whose children received single or dual diagnoses

    Diagnosis   n   %

    Dyspraxia (incl. apraxia) 99 84

    Developmental coordination disorder (DCD) 29 25

    Specific learning disabilities/disorders 26 22

    Attention deficit hyperactivity disorder 22 19

    Pervasive developmental disorders (incl. autism, Asperger) 20 17

    Dyslexia 13 11

    Dysgraphia 6 5

    Mental retardation/intellectual disabilities 7 6

    Oppositional defiant disorder 6 5

    Dyscalculia 5 4

    Epilepsy 3 3

    Cerebral palsies 2 2

    Conduct disorder 1 1

    Comorbid condition with dyspraxia 

    Dyspraxia and DCD 23 19

    Dyspraxia and specific learning disabilities/disorders 23 19

    Dyspraxia and pervasive developmental disorders 16 14

    Dyspraxia and dyslexia 11 9

    Dyspraxia and mental retardation/intellectual disabilities 5 4Dyspraxia and oppositional defiant disorder 5 4

    Dyspraxia and dyscalculia 5 4

    Dyspraxia and attention deficit hyperactivity disorder 3 3

    Dyspraxia and dysgraphia 3 3

    Dyspraxia and cerebral palsies 2 2

    Comorbid condition with DCD

    DCD and specific learning disabilities/disorders 8 7

    DCD and attention deficit hyperactivity disorder 7 6

    DCD and dyslexia 4 3DCD and dysgraphia 4 3

    DCD and dyscalculia 2 2

    DCD and oppositional defiant disorder 1 1

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    during the New Zealand Dyspraxia conference, and the second phase through the

    group’s newsletter distribution.

    As part of the first phase, questionnaires along with self-addressed stamped

    envelopes were included in conference bags and distributed to all participants

    (n=250) at the registration desk of the Fourth National Dyspraxia Conference held

    in Christchurch, New Zealand from 5th-7th October, 2007. During the conference,

     participants were encouraged to respond to the survey by announcements and posters,

    and a drop box was placed at the registration desk. A total of 54 parents (22% of 

    attendees) either returned the forms via the dropbox, or mailed the forms to theresearchers using the attached self-addressed envelopes by the end of October 2007.

    In December, 2007 and April, 2008, questionnaires were mailed with the group’s

    newsletter   Connection   to all subscribers (n =260). The instruction for the

    questionnaire asked the subscribers to respond to the questionnaire only if they

    have not responded before. By the end of January, 2008, 24 forms (9%) were

    Table 4   Use of food supplement, modified diet, and herbal remedies

    Used intervention   n   %

    Food supplements

    Fish oil 44 37

    Omega 3 fatty acids 42 36

    Evening primrose oil 9 8

    Pycnogenol 1 1

    Blue green algae 1 1

    Other food supplements 6 5

    Modifieddiet 

    Removal of foodadditives 15 13

    Wheat free 12 10

    Megavitamins 8 7

    Sugar free 3 3

    Feingold 2 2

    Mineral therapy 2 2

    Vegan 0 0

    Otherdiet 17 14

    Herbal remedies

    St. John’sWort 3 3

    Valerian 1 1Kava 1 1

    Ginseng 1 1

    Gingkobiloba 1 1

    Chamomile 1 1

    Wild OatSeed 0 0

    Skullcap 0 0

    Other Herbal Remedies 8 7

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    returned, and a further 40 forms (15%) were returned by the end of April, 2008. The

    final sample consisted of 118 respondents. Because of two different sources of 

    samples, member attrition and initiating new members, we were unable to determine

    the overall response rate.

    Statistical Analysis

    In keeping with previous CAM surveys on developmental disabilities (Chan et al.

    2003; Green et al. 2005; Hanson et al. 2007; Liptak et al.  2006; Weber et al.  2008),

    only descriptive statistics were performed using frequencies and percentages.

    Percentage data were not included for the questions as to perceived effectiveness

     because low and variable response rates in this section could create confusions

     between percentages of the total respondents ( N =118), and varying numbers of 

    respondents to different questions. Inferential statistics were not performed due to

    the descriptive nature of this study. Because of a large number of intervention items

    in the survey questionnaire and the focus of the present study, the multivariate

    frequency distributions of different interventions are not analyzed, but noteworthy

    observations are described in the Results section.

    Results

    Sample Characteristics

    Characteristics of the sample are presented in Table 2 in comparison with data from

    the census of New Zealand population in 2006. All respondent parents were 25 years

    of age or older, and mothers constituted 93% of the sample. A relatively large

     proportion consisted of European descendants educated at university levels and

    earning upper middle to high personal income compared to the general New Zealand

     population.

    Table 5   Use of prescribed medication

    Medication (Brand name)   n   %

    Paroxetine (Aropax, Loxamine) 7 6

    Clonidine (Dixarit, Catapres) 5 4

    Dexamphetamine 5 4

    Fluoxetine (Fluox, Prozac) 4 3

    Sodium Valproate (Epilim) 4 3

    Carbamazepine (Tegretol) 3 3

    Risperidone (Risperdal) 2 2

    Methylphenidate (Concerta, Ritalin, Rubifen) 1 1

    Other a  11 9

    a  Other medication consisted ofcitalopram (Celapram), Melatonin, Lactose, Flixotide, microlax,

    ibuprophen (Rubiprofen), and Lithium

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    Diagnosis

    Characteristics of the sample by diagnosis are summarized in Table   3. Of the

    children represented by parents in the sample, dyspraxia is the most common

    diagnosis (84%), followed by DCD (25%), specific learning disabilities/disorder 

    (22%), ADHD (19%), pervasive developmental disorder (PDD) (17%), and dyslexia 

    (10%). Diagnoses of both dyspraxia and DCD have been given to 23 children, 19%

    of the sample. Consistent with the exclusion criteria of the current DSM, children

    Table 6   Use of therapy and education

    Used intervention   n   %

    Occupational therapy

    Sensory integration 62 53

    I don’t know the detail 39 33

    Cognitive orientation too ccupational performance (COOP) 10 8

    Bobath 2 2

    Other occupational therapy 19 16

    Physiotherapy

    I don’t know the detail 23 19

    Sensory integration 23 19

    Bobath 4 3

    Doman-Delacato patterning 1 1

    Kabat 0 0

    Other physiotherapy 8 7

    Psychology

    Specific learning disorder lessons/remedial training 27 23

    Behavior therapy (Applied behavior analysis) 11 9

    Clinical psychology 11 9

    Cognitive behavior therapy 8 7

    I don’t know the detail 7 6

    Psychotherapy 2 2

    Behavior therapy (TEACCH) 1 1

    Other psychology 8 7

    Alternativetherapy and education

    Brain gym (applied kinesiology) 42 36

    Optometric training 23 19

    Musictherapy 12 10

    Chiropractic 9 8

    Dance/movement therapy 9 8Art therapy 7 6

    Dore 7 6

    Conductiveeducation 4 3

    Mindfulness training 0 0

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    Table 8   The breakdowns of frequency (n=69) for responses to the question: Did your child’s physical

    coordination improve? and the descriptions to the question: Which intervention do you think helped the

    improvement?

    Response Frequency Response Frequency

    Yes 62 No 7

    Intervention used Intervention used

    Occupational therapy 15

    Physiotherapy 5

    Sensory integration 4

    PMP 3

    Brain gym 2

    School education 1

    Optometric training 1

    Brain gym 1

    Cranial osteopathy 1

    Movement clinic 1

     No description 28 No description 7

    Subtotal 62 Subtotal 7

     PMP  Perceptual motor programme

    Table 7   Use of complementary and alternative medicine (CAM)

    Intervention used   n   %

    Osteopathy 23 19

    Homeopathy 20 17

    Massage/bodywork 12 10

    Craniosacraltherapy 8 7

    Meditation/Relaxation response 6 5

    Hypnotherapy (guidedimagery) 6 5

    Faith/Spiritual Health 5 4

    Aromatherapy 5 4

    Reflexology 3 3

    Healer/healingtouch 3 3

    Biofeedback 3 3

    Yoga 2 2

    Alexander Technique 2 2

    Shiatsu/Acupressure 1 1

    Prayer/shaman 1 1

    Acupuncture 1 1

    Tai Chi/Qui Gongs 0 0

    Rolfing 0 0

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    with DCD have not been diagnosed with PDD or MR. In contrast, 16 children withdyspraxia received the dual diagnoses of PDD, and 5 children with dyspraxia also

    had MR.

    Table 10   The breakdowns of frequency (n=61) for responses to the question: Did your child’s

    achievement in physical education improve? and the descriptions to the question: Which intervention do

    you think helped the improvement?

    Response Frequency Response Frequency

    Yes 52 No 9

    Intervention used Intervention used

    Occupational therapy 14

    Physiotherapy 8

    Sensory integration 3

     No specific intervention 2

    PMP 2

    School education 2

    Brain gym 1

    Cranial osteopathy 1

    Movement clinic 1

     No description 18 No description 9

    Subtotal 52 Subtotal 9

     PMP  Perceptual motor program

    Table 9   The breakdowns of frequency (n=68) for responses to the question: Did your child’s hand

    writing improve? and the descriptions to the question: Which intervention do you think helped the

    improvement?

    Response Frequency Response Frequency

    Yes 58 No 10

    Intervention used Intervention used

    Occupational therapy 16

    School education 5

    Typing 3

    Physiotherapy 2

    Optometric training 2

    Brain gym 2

    Cranial osteopathy 1

    PMP 1

    Sensory integration 1

    Educational psychology 1

     No description 24 No description 10

    Subtotal 58 Subtotal 10

     PMP  Perceptual motor program

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    Interventions

    As shown in Table 4, food supplements were more popular than modified diet and

    herbal remedies. More than one third of the sample used fish oil and Omega 3 fatty

    acids. Supplements reported in the   ‘other food supplements’

      category includedcalcium, cod liver oil, flax seed oil, garlic, horseradish, multivitamin, and vitamin C.

    Approximately 10% of the sample removed food additives and wheat from

    children’s diet. Under   ‘other diet ’, organic, dairy free, dietician monitoring fat 

    content, Effalex, Failfree diet and gluten free diet were reported. Few used herbal

    remedies; several listed Bryophyllum Argento Cult, homeopathy, unknown Oriental

    Table 12   The breakdowns of frequency (n=34) for responses to the question: Did your child’s

    achievement in math improve? and the descriptions to the question: Which intervention do you think 

    helped the improvement?

    Response Frequency Response Frequency

    Yes 22 No 12

    Intervention used Intervention used

    School education 5 Cranial osteopathy 1

     No specific internvention 3

    Occupational therapy 3

     Number works 2

    Kumon 2

    Physiotherapy 1

    Speech therapy 1

     No description 5 No description 11

    Subtotal 22 Subtotal 12

    Table 11   The breakdowns of frequency (n=45) for responses to the question: Did your child’s

    achievement in music improve? and the descriptions to the question: Which intervention do you think 

    helped the improvement?

    Response Frequency Response Frequency

    Yes 31 No 14

    Intervention used Intervention used

    Music lesson/therapy 4

    Occupational therapy 3

     No specific internvention 2

    School education 2

    Physiotherapy 1

    Cranial osteopathy 1

    Optometric training 1

     No description 17 No description 14

    Subtotal 31 Subtotal 14

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    herbs, rescue remedy, Rocket tablets, and sleep remedy under    ‘other herbal

    remedies’. Though not possible to deduce from Table   4, it caught our attention,

    when we browsed the raw data, that all 118 respondents had reported their use of at 

    least one food supplement.

    Use of prescribed medication is summarized in Table 5. Approximately 9% of thesample reported that their children used serotonin reuptake inhibitors (SSRI) for 

    anxiety and depression (i.e., Paroxetine, Fluoxetine). A combined total of 9% used

    medication for ADHD (i.e., Clonidine, Dexamphetamine, Methylphenidate). A

    combined total of 6% of the sample reported use of medication commonly

     prescribed to control epilepsy, mood changes, and aggression (e.g., Sodium

    Valproate, Carbamazepine). Medication for the management of psychosis and

    aggression (i.e., Risperidone) was used by 2% of the sample. Under the heading of 

    “Other medication” a subtotal of 9% of the sample listed the following medications:

    another SSRI called Celapram, melatonin (commonly used for insomnia), lactoseand microlax to ease constipation, Flixotide to control asthma, ibuprofen for pain

    control, and lithium, a mood stabilizer.

    Table 6 shows therapies and educational interventions ranging from conventional

    to non-conventional with the numbers of respondents who used these. Among the

    conventional therapies, occupational therapy was most popular, and more than half 

    of the sample reported that the therapists had used sensory integration. One third of 

    the sample was uncertain about the specific approach of occupational therapy. With

    regard to physiotherapy, sensory integration was jointly ranked first (19%) with   “I

    don’t know the detail

    ” response. Among the orthodox psychological interventions,specific learning disorder lessons/remedial training (23%), behavior therapy (applied

     behavior analysis) (9%), clinical psychology (9%), and cognitive behavior therapy

    (7%) were the most commonly used interventions.

    Among the alternative therapy and education interventions in Table  6, those that 

    are considered controversial, namely Brain Gym (Educational Kinesiology) (36%)

    and optometric training (19%) were most widely used. Expressive art therapies, such

    as music therapy (10%), dance/movement therapy (8%) and art therapy (6%) are an

    integral part of standard medical care in the USA, but are not yet part of standard

    health care in New Zealand; these were therefore used by minorities in the sample.

    Overall, 69% of respondentssent their children to at least one of the unconventional

    education or therapy.

    The popularly used forms of CAM were osteopathy (19%), homeopathy (17%), and

    massage/body work (10%), followed by craniosacral therapy (7%), meditation and

    relaxation response (5%), and hypnotherapy and guided imagery (5%). A wide variety

    of other CAM was also used by a small number of the sample as detailed in Table  7.

    Some form of CAM was provided by 57% of the respondents to their children.

    Perceived Efficacy

    In response to the question as to whether or not any intervention improved physical

    coordination, 62 parents (53%) answered in the affirmative, 7 (6%) in the negative,

    and the other 49 (42%) made no response or chose the   “not applicable”   response

    (Table   8). Among those 62 parents who answered in the affirmative, 15 parents

    thought occupational therapy helped their children’s physical coordination, 5 parents

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    mentioned physiotherapy, and 4 parents listed sensory integration (which is

    administered by occupational therapists or physiotherapists). This response pattern

    indicates that those interventions that are perceived as most effective are conducted

     by therapists working in the mainstream health care system in New Zealand. The

    seven parents who answered in the negative did not specify which intervention failedto improve their children’s physical coordination. Some of the parents who made no

    response or chose the   “not applicable”   response reported in Section D that their 

    combined use of different intervention methods made it impossible for them to

    determine which one was working.

    To be more specific, improved handwriting was reported by 58 parents (49%) and

    ascribed most frequently to occupational therapy (16 respondents) and school

    education (5 respondents) (Table 9). With regard to the school subjects with strong

     physical components, enhanced achievement in physical education was reported by

    52 parents (44%) who most commonly attributed the improvement to occupationaltherapy (14 respondents), physiotherapy (8 respondents), and sensory integration

    (3 respondents) that was presumably conducted as part of occupational therapy and

     physiotherapy (Table   10). Music is another subject that demands physical

    coordination, especially when children play musical instruments. Improved music

    achievement was reported by 52 parents (44%), most commonly as a result of music

    lesson/therapy (14 respondents) and physiotherapy (8 respondents) (Table   11). By

    contrast, school subjects with little physical component, such as math, improved in

    22respondents (19%), most frequently from school education (5 respondents)

    (Table 12) and reading improved in 55 respondents (47%), most commonly due toschool education (9 respondents), occupational therapy (5 respondents), and

    optometric training (5 respondents) (Table  13).

    In summary, about half of the parents (53%) reported improvement of physical

    skills and attributed such progress to occupational therapy, physiotherapy, and

    school education which are all part of the mainstream health care and education

    systems in New Zealand. Progress in physical and non-physical domains indicated

    Table 13   The breakdowns of frequency (n=63) for responses to the question: Did your child’s reading

    improve? and the descriptions to the question: Which intervention do you think helped the improvement?

    Response Frequency Response Frequency

    Yes 55 No 8

    Intervention used Intervention used

    School education 9 Cranial osteopathy 1

    Occupational therapy 5

    Optometric training 5

     No specific intervention 3

    Brain gym 1

    Davis method 1

    Kyp McGrath lessons 1

     No description 30 No description 8

    Subtotal 55 Subtotal 8

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    the domain-specific nature of perceived intervention effects. The effect of alternative

    education, therapy, or medicine was rarely reported.

    Discussion

    This study surveyed parents who were affiliated with a dyspraxia support group. It 

    turned out that many of their children were not only diagnosed with dyspraxia or 

    DCD, but also with other comorbid developmental disorders. About a half of the

     parents perceived conventional therapies and school education as effective, and

    some parents were unaware of the specific intervention methods used in

    occupational therapy, physiotherapy, and psychology. Despite their controversial

    nature, and reported ineffectiveness, over half of the sample used alternative

    interventions. A discussion of the possible relation between the comorbid conditionsand the parental definition of dyspraxia, the limitations of the study and future

    research directions follows.

    Diagnostic heterogeneity among children with dyspraxia is present in the lists of 

    diagnoses and prescription medications given. This finding echoes and substantiates

    the statement by Peters et al. (2001) that the parental definition of dyspraxia seems to

    cover a wide variety of childhood disorders. Frequency of the diagnosis of dyspraxia 

    was three times more than the frequency of the diagnosis of developmental

    coordination disorder (DCD). This may be due to the stringent criteria of DCD

    (American Psychiatric Association  2000) which excludes mental retardation (MR), pervasive developmental disorders (PDD), and cerebral palsies. Except for the

    accepted comorbidity of DCD with ADHD for example, movement problems may

    not be specifically acknowledged and attended in children with MR or PDD, for 

    instance. This may be why the term dyspraxia is used to allow comorbidity of 

    movement difficulties with MR and PDD, thus drawing attention to the motor 

    domain of the children with MR and PDD.

    It is noteworthy that some of the children with dyspraxia or DCD seem to have

    neuropsychiatric disorders, ranging from ADHD, oppositional defiant disorder,

    epilepsy, depression, aggression, and mood disorders. Because the present survey

    did not ask when medications were first prescribed, it is difficult to determine

    whether these disorders started during childhood, adolescence, or adulthood. It 

    would be an interest of future research to investigate the onsets of neuropsychiatric

    disorders in relation to the timing of movement disorder. These seemingly unrelated

    disorders may share common underlying processes, and the identification of one

    disorder may help the prediction, early identification, and management of the other.

    High prevalence of CAM use revealed in our study is consistent with other 

    disability groups, such as autism spectrum disorder (Green et al.  2005; Hanson et al.

    2007; Liptak et al.   2006), ADHD (Chan et al.   2003; Weber et al.   2008), severe

     physical disabilities (Liptak et al.   2006; Rosenbaum   2003), and a recent study in

    Christchurch, New Zealand (Wilson et al.  2007) that reported a high prevalence of 

    CAM use (70%) among the child patients of general practice surgeries and a 

     paediatric diabetes clinic. The study also found that female parents accompanying

    the children, increased household income, higher parental education, parental use of 

    CAM, and stronger beliefs about the general harm of conventional medicines, were

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    conditions. Indeed, comorbidity may reflect the current limitation in understand-

    ing the underlying processes linked to multiple disorders (First   2005). Frequent 

    use of sensory integration and the perceived effect of the sensory integration

    therapy and occupational therapy, where sensory integration therapy often takes

     place, may be affected by such an orientation of the support group. For instance,the group members may be encouraged to visit health care professionals who tend

    to diagnose children with dyspraxia and to treat dyspraxia with sensory integration

    therapy.

    Conclusion

    The present study provided the first data on diagnostic heterogeneity and the

    interventions for children whose parents are affiliated with a dyspraxia support 

    group. Parents tend to perceive conventional and free-of-charge interventions asmore effective than alternative interventions. This finding would be useful for the

     parents, health and educational service providers, policy makers, and funding bodies

    to make informed decisions. Future theory-driven research needs to explore the

    mechanisms involved in decision-making.

    Acknowledgements   We thank the Dyspraxia Support group of New Zealand for contributing to this

    study, and gratefully acknowledge the support of Ms. Brigid Ryan through the Centre for Physiotherapy

    Research, School of Physiotherapy, Ms. Kate Heveldt through Movement Development Clinic, School of 

    Physical Education in assisting with the survey and in proofing the paper, and Dr. Juan García at the Child,

    Adolescence, and Family Service for pharmacological information.

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