What are the clinical and educational risk factors for poor academic outcomes in children with Autistic Spectrum Disorder?
What are the clinical and educational risk factors for poor academic outcomes in children with Autistic Spectrum Disorder?
批准号:
MR/L017105/1
负责人:
Johnny Downs
金额:
$28.07万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
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英文摘要
Approximately 1% of UK school age children have an Autistic Spectrum Disorder (ASD). Children with ASD typically have longstanding difficulties using language, engaging in every day social interactions and having a general, flexible interest in the world around them. ASD is commonly diagnosed in the first years of primary school. The majority of children who receive an ASD diagnosis will go on to have difficulties throughout their school life, often leaving with no qualifications. This puts them at a significant disadvantage as adults and at greater risk for a host of mental and physical health problems. An important objective for UK child mental health specialists, teachers and researchers is to reduce these educational failings for children with ASD whilst at school, to ensure they have better skills and opportunities in later life.In the UK, specialist Child and Adolescent Mental Health Services (CAMHS) commonly provide ASD assessments and offer treatment. CAMHS services also treat common childhood mental health conditions including anxiety, depression, conduct and hyperactivity disorders. Children without ASD who suffer these disorders often have considerable difficulties achieving their potential at school. Fortunately there are a number of effective mental health treatments including medications that can help non ASD children get back on track. These treatments increase their chances of attending school, not getting into trouble and passing exams.Children with ASD also suffer from these disorders and at much greater rates (up to 70% in some studies) than typically developing children. ASD combined with other mental health disorders presents as a much more complex condition to manage and may significantly impact educational performance. Currently there is little evidence available to inform clinicians on how best to treat the common co-occurring conditions associated with ASD. Pharmacological treatments, developed primarly in non ASD children, may not have the same effect in improving educational performance for ASD children. Pharmacological treatments (for example stimulants, anti-depressants and anti-psychotics) are being increasingly used by CAMHS to help manage common co-occurring disorders in children with ASD. At present, little is known which disorders or additional symptoms lead clinicians to prescribe these medications to children with ASD. Also, very few experimental trials are conducted in children with ASD that are adequately designed to measure the long term effect of treatment, therefore their influence on longer term educational outcomes like overall school attendance, exclusion rates or final exam results remains unclear. With robust confidentiality and data protection measures in place, electronic health records(EHRs) can provide rich data to investigate the gaps in current knowledge. They can be used to determine which childhood factors lead to impaired educational performance in ASD, and how they may be modified by treatment. For this proposal, I will use EHRs via the Clinical Record Interactive Search system(CRIS) and link the records with the National Pupil Database(NPD). CRIS was developed by King College London to allow researchers to retrieve in depth information from the anonymised case notes of over 34,000 CAMHS patients. The NPD is a database managed by the Department for Education and contains all children academic records since enrolment in state school from 2002. As the fellowship applicant, under the supervision of Professor Hotopf and Dr Hayes at Kings College London, and Professor Ford at the University of Exeter, I will study whether additional mental health difficulties impact on educational performance and whether treatments that may reduce these difficulties could improve academic outcomes.
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DOI:
10.3389/fpsyt.2020.553463
发表时间:
2020
期刊:
Frontiers in psychiatry
影响因子:
4.7
作者:
[Bittar A, Velupillai S, Downs J, Sedgwick R, Dutta R]
通讯作者:
Dutta R
DOI:
10.1016/j.drugalcdep.2016.04.036
发表时间:
2016-07-01
期刊:
Drug and alcohol dependence
影响因子:
4.2
作者:
[Bogdanowicz KM, Stewart R, Chang CK, Downs J, Khondoker M, Shetty H, Strang J, Hayes RD]
通讯作者:
Hayes RD
DOI:
10.3389/fpsyg.2020.567310
发表时间:
2020
期刊:
Frontiers in psychology
影响因子:
3.8
作者:
[Boman M, Downs J, Karali A, Pawlby S]
通讯作者:
Pawlby S
Guidance for researchers wanting to link NHS data using non-consent approaches: a thematic analysis of feedback from the Health Research Authority Confidentiality Advisory Group.
希望使用非同意方法链接NHS数据的研究人员的指南:卫生研究当局机密咨询小组反馈的主题分析。
DOI:
10.23889/ijpds.v5i1.1355
发表时间:
2020-10-02
期刊:
International journal of population data science
影响因子:
--
作者:
[Cross L, Carson LE, Jewell A, Heslin M, Osborn D, Downs J, Stewart R]
通讯作者:
Stewart R
DOI:
10.1007/s00787-022-02041-3
发表时间:
2023-11
期刊:
EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
影响因子:
6.4
作者:
[Carson, Lauren, Parlatini, Valeria, Safa, Tara, Baig, Benjamin, Shetty, Hitesh, Phillips-Owen, Jacqueline, Prasad, Vibhore, Downs, Johnny]
通讯作者:
Downs, Johnny
The automated coding of expressed emotion to enhance clinical and epidemiological mental health research in adolescence
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批准号:MR/X002721/1
-
项目类别:Research Grant
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资助金额:$38.69万
-
财政年份:2022
-
负责人:Johnny Downs
-
依托单位:
国内基金
海外基金
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批准号:81170645
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项目类别:面上项目
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资助金额:60.0万元
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批准年份:2011
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负责人:崔昭
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依托单位:
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批准号:31070748
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负责人:Christine Nardini
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