Integrating a New Online Autism Screening Tool in Primary Care to Lower the Age of Referral

Schrader, Evan; Delehanty, Abigail; Casler, Alix; Petrie, Erin; Rivera, Alexa; Harrison, Kate; Paterniti, Thomas A.; Sebastiany, Ludonir; Nottke, Charly; Sohl, Kristin; Levy, Susan E.; Wetherby, Amy M.

doi:10.1177/0009922819900947

Cited by 11 publications

(17 citation statements)

References 25 publications

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“…We identified 28 studies that used mainstream or adapted information technologies to screen children up to 6 years for ASD (see Table 1 ). Seven of the included studies [ 22 , 31 , 32 , 33 , 34 , 35 , 36 ] involved children recruited from primary care or pediatric services, while five studies involved children referred to tertiary care or specialized ASD centers [ 37 , 38 , 39 , 40 , 41 ]. A total of 7308 children participated in the studies.…”

Section: Resultsmentioning

confidence: 99%

“…Two studies involved children from 6 to 18 months [ 42 , 43 ]. Six studies involved children within the 10 to 48 months range [ 36 , 40 , 41 , 44 , 45 , 46 ], seven studies involved participants aged between 16 and 30 months [ 22 , 25 , 31 , 32 , 34 , 35 , 47 ], and four studies involved children within the 18- and 72-months range [ 37 , 39 , 48 , 49 ]. Three studies involved a sample of children aged between 48 and 72 months [ 33 , 50 , 51 ].…”

Section: Resultsmentioning

confidence: 99%

“…In a similar vein, the studies reported by Egger et al [ 25 ] and Carpenter et al [ 36 ] were included both in the NUI and PC/Mobile category. Accordingly, 11 papers reported on the use of computerized solutions (PC or mobile platforms) to administer parent-reported questionnaires [ 22 , 31 , 32 , 33 , 34 , 35 , 37 , 39 , 46 , 47 , 55 ], and seven papers employed screening tools in which videos were collected from [ 37 , 39 , 43 , 50 ] or showed via [ 25 , 36 , 42 ] parents’ mobile/PC devices.…”

Section: Resultsmentioning

confidence: 99%

“…Nine papers were identified that involved children in the 16–30 months age range [ 22 , 25 , 31 , 32 , 34 , 35 , 36 , 46 , 47 ]. Of these, two papers reported on studies aimed at adapting the M-CHAT for its administration via tablet [ 3 , 31 ].…”

Section: Resultsmentioning

confidence: 99%

“…Three studies reported on the use of automated EHR [ 22 , 32 , 35 ] to facilitate screening procedures within pediatric clinics. Both Bauer et al [ 22 ] and Downs et al [ 32 ] (see also [ 59 ], not included in this review) implemented the Child Health Improvement Through Computer Automation system (CHICA).…”

Section: Resultsmentioning

confidence: 99%

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Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

2021

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The aim of this systematic review is to identify recent digital technologies used to detect early signs of autism spectrum disorder (ASD) in preschool children (i.e., up to six years of age). A systematic literature search was performed for English language articles and conference papers indexed in Pubmed, PsycInfo, ERIC, CINAHL, WoS, IEEE, and ACM digital libraries up until January 2020. A follow-up search was conducted to cover the literature published until December 2020 for the usefulness and interest in this area of research during the Covid-19 emergency. In total, 2427 articles were initially retrieved from databases search. Additional 481 articles were retrieved from follow-up search. Finally, 28 articles met the inclusion criteria and were included in the review. The studies included involved four main interface modalities: Natural User Interface (e.g., eye trackers), PC or mobile, Wearable, and Robotics. Most of the papers included (n = 20) involved the use of Level 1 screening tools. Notwithstanding the variability of the solutions identified, psychometric information points to considering available technologies as promising supports in clinical practice to detect early sign of ASD in young children. Further research is needed to understand the acceptability and increase use rates of technology-based screenings in clinical settings.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

2021

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Rethinking autism spectrum disorder assessment for children during COVID‐19 and beyond

et al. 2021

Self Cite

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The COVID-19 pandemic has posed unique challenges for families and caregivers, as well as for autism-focused clinicians, who are faced with providing a thorough and accurate evaluation of children's specific needs and diagnoses in the absence of inperson assessment tools. The shift to telehealth assessments has challenged clinicians to reconsider approaches and assumptions that underlie the diagnostic assessment process, and to adopt new ways of individualizing standard assessments according to family and child needs. Mandates for physical distancing have uncovered deficiencies in diagnostic practices for suspected autism and have illuminated biases that have posed obstacles preventing children and families from receiving the services that they truly need. This Commentary outlines several considerations for improving diagnostic practices as we move forward from the current pandemic and continue to strive to build an adaptable, sustainable, equitable, and family-centered system of care.

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Paisley: Preliminary validation of a novel app‐based e‐Screener for ASD in children 18–36 months

Honaker,

Weitlauf,

Swanson

et al. 2023

Autism Research

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The purpose of this study was to assess the validity of an autism e‐screener, Paisley, when utilized in a clinical research setting via a tablet application. The Paisley application used a series of play‐based activities, all of which incorporated varying aspects of the ASD‐PEDS. Participants included children (18–36 months; n = 198) referred for evaluation of autism spectrum disorder (ASD) and community providers (n = 66) with differing levels of familiarity with ASD. Community providers administered the Paisley application to children who then completed a comprehensive psychological evaluation. Based on comprehensive evaluation, 75% of children met diagnostic criteria for ASD. Paisley scores were significantly higher for children diagnosed with ASD (15.06) versus those not diagnosed (9.34). The newly determined cutoff ASD‐PEDS cutoff score of 13 had significantly higher specificity and positive predictive value than the originally proposed cutoff of 11. Results support the use of Paisley by community providers to identify autism risk in toddlers. Limitations and strengths of the work, as well as opportunities for future clinical validation, are described.

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Integrating a New Online Autism Screening Tool in Primary Care to Lower the Age of Referral

Cited by 11 publications

References 25 publications

Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

Rethinking autism spectrum disorder assessment for children during COVID‐19 and beyond

Paisley: Preliminary validation of a novel app‐based e‐Screener for ASD in children 18–36 months

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