Do Referral Factors Predict a Probable Autism Spectrum Disorder Diagnosis? A DBPNet Study.
To determine the proportion of children referred to academic medical centers with concerns about autism spectrum disorders (ASDs) who received a probable ASD diagnosis, identify factors predicting ASD diagnosis, and describe the children with ASD concerns who were not found to have autism. A total o...
| Publicado en: | Academic Pediatrics Vol. 22; no. 2; pp. 271 - 279 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Mar2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155258318&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155258318 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18762859 8NBK jtl: Academic Pediatrics issn: 18762859 maglogo: N pubinfo: dt: Mar2022 vid: 22 iid: 2 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 155258318 155258318 155258318 10.1016/j.acap.2021.05.025 155258318 ppf: 271 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Do Referral Factors Predict a Probable Autism Spectrum Disorder Diagnosis? A DBPNet Study. aug: au: High, Pamela Silver, Ellen J. Stein, Ruth E.K. Roizen, Nancy Augustyn, Marilyn Blum, Nathan affil: Warren Alpert Medical School Brown University (P High), Providence, RI sug: subj: Referral and Consultation Academic Medical Centers Autism Spectrum Disorder Diagnosis Human Bivariate Statistics Child Language Disorders Child Behavior Disorders Funding Source Child: 6-12 years ab: To determine the proportion of children referred to academic medical centers with concerns about autism spectrum disorders (ASDs) who received a probable ASD diagnosis, identify factors predicting ASD diagnosis, and describe the children with ASD concerns who were not found to have autism. A total of 55 developmental-behavioral pediatricians (DBP) at 12 academic sites in the DBPNet research network recorded data on ≤15 consecutive new patients. They coded presumed diagnoses after their first visit with the child. Of 784 new visits, 324 (41%) had concern for ASD; of these, 221 (68%) were presumptively ASD+; 103 (32%) were ASD−. In a mixed model accounting for clustering within site and covariates significant in bivariate analysis, significant predictors of receiving a presumptive ASD diagnoses were socialization concerns, languages other than English spoken in the home, and coming for second opinion. Also concern for "other behavior problems" (not mood, oppositionality, anxiety, attention, or repetitive behaviors) predicted not receiving ASD diagnoses. This model was not clinically useful because it misclassified 26.9% of children. ASD− children <4 years old had more language delay and less cognitive impairment and socialization concern than their ASD+ age peers. ASD− children ≥4 years old were more likely to have attention-deficit /hyperactivity disorder (ADHD) and learning disability with normal cognition than their ASD+ age peers. Two thirds of children referred to academic centers with concern for ASD received a presumptive diagnosis of ASD. While those with ASD were not easily distinguished from those without ASD at referral, virtually all children with ASD concerns had multiple DBP diagnoses made and required DBP follow-up care. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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