Dataset Information

Clinical signs associated with earlier diagnosis of children with autism Spectrum disorder.

ABSTRACT:

Background

The objective of this study is to gain new insights into the relationship between clinical signs and age at diagnosis.

Method

We utilize a new, large, online survey of 1743 parents of children diagnosed with ASD, and use multiple statistical approaches. These include regression analysis, factor analysis, and machine learning (regression tree).

Results

We find that clinical signs that most strongly predict early diagnosis are not necessarily specific to autism, but rather those that initiate the process that eventually leads to an ASD diagnosis. Given the high correlations between symptoms, only a few signs are found to be important in predicting early diagnosis. For several clinical signs we find that their presence and intensity are positively correlated with delayed diagnosis (e.g., tantrums and aggression). Even though our data are drawn from parents' retrospective accounts, we provide evidence that parental recall bias and/or hindsight bias did not play a significant role in shaping our results.

Conclusion

In the subset of children without early deficits in communication, diagnosis is delayed, and this might be improved if more attention will be given to clinical signs that are not necessarily considered as ASD symptoms. Our findings also suggest that careful attention should be paid to children showing excessive tantrums or aggression, as these behaviors may interfere with an early ASD diagnoses.

SUBMITTER: Sicherman N

PROVIDER: S-EPMC7905573 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

Clinical signs associated with earlier diagnosis of children with autism Spectrum disorder.

Sicherman Nachum N Charite Jimmy J Eyal Gil G Janecka Magdalena M Loewenstein George G Law Kiely K Lipkin Paul H PH Marvin Alison R AR Buxbaum Joseph D JD

BMC pediatrics 20210225 1

<h4>Background</h4>The objective of this study is to gain new insights into the relationship between clinical signs and age at diagnosis.<h4>Method</h4>We utilize a new, large, online survey of 1743 parents of children diagnosed with ASD, and use multiple statistical approaches. These include regression analysis, factor analysis, and machine learning (regression tree).<h4>Results</h4>We find that clinical signs that most strongly predict early diagnosis are not necessarily specific to autism, bu ...[more]

PMID: 33632186

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Project description:Introduction: Clinicians working with children with autism spectrum disorder (ASD) occupy an important position between parents and the wide-ranging research findings. However, it is not widely known how clinicians view and experience ASD in children, even though their perspective has been shown to significantly influence their work. Material and methods: Sixteen physicians working with preschool children without a diagnosis of (intellectual or other) disability with a (presumed) diagnosis of ASD participated in a semistructured interview. They described their professional views on ASD, and how they experienced its use in their clinical practice. The data were analyzed by applying the qualitative research method of interpretative phenomenological analysis of the data through Nvivo 11. Results: The main topic of the interviewed physicians' views and experiences of ASD in a young child comprised three inductively established themes: 1) physicians' views on ASD are multifaceted but fit within their personal clinical styles; 2) the ASD diagnosis is a "descriptive" part of a clinical trajectory; and 3) ASD treatment is a mix of "standard" approaches and a personalized search. These physicians' perspectives on ASD are composed of multiple and sometimes ambiguous facets. However, their views are embedded in their personal clinical styles in general (i.e., beyond ASD) and are experienced as clinically "workable." With the aim of finding an adequate approach to the problems parents bring to their office, many interviewed physicians say that-complementary to or rather than a classificatory diagnosis-they prefer using a personalized "profile" of a child in a therapeutic "process." Conclusions: The interviewed physicians consider doubts and concerns to be an inherent part of their clinical work with ASD in young children, but do not experience this ambiguity as an obstacle to clinical care. These physicians deal with the multiplicity of their views on ASD by basing their eclectic views on their generally adopted clinical styles, and by selecting what works for them, and for the parents and child, from what they regard as the 'textbook knowledge' on ASD. We discuss the implications of these findings for translating research results to the clinic.

Project description:BackgroundResearch suggests that diagnostic procedures for Autism Spectrum Disorder are not consistent across practice and that diagnostic rates can be affected by contextual and social drivers. The purpose of this review was to consider how the content of clinical practice guidelines shapes diagnoses of Autism Spectrum Disorder in the UK; and investigate where, within those guidelines, social factors and influences are considered.MethodsWe electronically searched multiple databases (NICE Evidence Base; TRIP; Social Policy and Practice; US National Guidelines Clearinghouse; HMIC; The Cochrane Library; Embase; Global health; Ovid; PsychARTICLES; PsychINFO) and relevant web sources (government, professional and regional NHS websites) for clinical practice guidelines. We extracted details of key diagnostic elements such as assessment process and diagnostic tools. A qualitative narrative analysis was conducted to identify social factors and influences.ResultsTwenty-one documents were found and analysed. Guidelines varied in recommendations for use of diagnostic tools and assessment procedures. Although multidisciplinary assessment was identified as the 'ideal' assessment, some guidelines suggested in practice one experienced healthcare professional was sufficient. Social factors in operational, interactional and contextual areas added complexity to guidelines but there were few concrete recommendations as to how these factors should be operationalized for best diagnostic outcomes.ConclusionAlthough individual guidelines appeared to present a coherent and systematic assessment process, they varied enough in their recommendations to make the choices available to healthcare professionals particularly complex and confusing. We recommend a more explicit acknowledgement of social factors in clinical practice guidelines with advice about how they should be managed and operationalised to enable more consistency of practice and transparency for those coming for diagnosis.

Dataset Information

Clinical signs associated with earlier diagnosis of children with autism Spectrum disorder.

Background

Method

Results

Conclusion

Publications

Clinical signs associated with earlier diagnosis of children with autism Spectrum disorder.

Similar Datasets

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