The Autism Observation Scale for Infants: Scale Development and Reliability Data

Bryson, Susan E.; Zwaigenbaum, Lonnie; McDermott, Catherine; Rombough, Vicki; Brian, Jessica

doi:10.1007/s10803-007-0440-y

Cited by 334 publications

(292 citation statements)

References 30 publications

(14 reference statements)

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“…It is an 18-item direct observational measure designed to detect and monitor putative signs of autism in infants aged 6-18 months. Data on inter-rater reliability was good, test-retest reliability less so, but the sample size was only 20 81 and thus judged to be of poor methodological quality. Georgiades et al 82 found good discrimination between high-and low-risk infants (i.e.…”

Section: Autism Observation Scale For Infantsmentioning

confidence: 96%

Systematic review of tools to measure outcomes for young children with autism spectrum disorder

McConachie

Parr

Glod

et al. 2015

Health Technology Assessment

217

249

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BackgroundThe needs of children with autism spectrum disorder (ASD) are complex and this is reflected in the number and diversity of outcomes assessed and measurement tools used to collect evidence about children’s progress. Relevant outcomes include improvement in core ASD impairments, such as communication, social awareness, sensory sensitivities and repetitiveness; skills such as social functioning and play; participation outcomes such as social inclusion; and parent and family impact.ObjectivesTo examine the measurement properties of tools used to measure progress and outcomes in children with ASD up to the age of 6 years. To identify outcome areas regarded as important by people with ASD and parents.MethodsThe MeASURe (Measurement in Autism Spectrum disorder Under Review) research collaboration included ASD experts and review methodologists. We undertook systematic review of tools used in ASD early intervention and observational studies from 1992 to 2013; systematic review, using the COSMIN checklist (Consensus-based Standards for the selection of health Measurement Instruments) of papers addressing the measurement properties of identified tools in children with ASD; and synthesis of evidence and gaps. The review design and process was informed throughout by consultation with stakeholders including parents, young people with ASD, clinicians and researchers.ResultsThe conceptual framework developed for the review was drawn from the International Classification of Functioning, Disability and Health, including the domains ‘Impairments’, ‘Activity Level Indicators’, ‘Participation’, and ‘Family Measures’. In review 1, 10,154 papers were sifted – 3091 by full text – and data extracted from 184; in total, 131 tools were identified, excluding observational coding, study-specific measures and those not in English. In review 2, 2665 papers were sifted and data concerning measurement properties of 57 (43%) tools were extracted from 128 papers. Evidence for the measurement properties of the reviewed tools was combined with information about their accessibility and presentation. Twelve tools were identified as having the strongest supporting evidence, the majority measuring autism characteristics and problem behaviour. The patchy evidence and limited scope of outcomes measured mean these tools do not constitute a ‘recommended battery’ for use. In particular, there is little evidence that the identified tools would be good at detecting change in intervention studies. The obvious gaps in available outcome measurement include well-being and participation outcomes for children, and family quality-of-life outcomes, domains particularly valued by our informants (young people with ASD and parents).ConclusionsThis is the first systematic review of the quality and appropriateness of tools designed to monitor progress and outcomes of young children with ASD. Although it was not possible to recommend fully robust tools at this stage, the review consolidates what is known about the field and will act as a benchmark for future developments. With input from parents and other stakeholders, recommendations are made about priority targets for research.Future workPriorities include development of a tool to measure child quality of life in ASD, and validation of a potential primary outcome tool for trials of early social communication intervention.Study registrationThis study is registered as PROSPERO CRD42012002223.FundingThe National Institute for Health Research Health Technology Assessment programme.

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Section: Autism Observation Scale For Infantsmentioning

confidence: 96%

Systematic review of tools to measure outcomes for young children with autism spectrum disorder

McConachie

Parr

Glod

et al. 2015

Health Technology Assessment

217

249

View full text Add to dashboard Cite

show abstract

“…The OSA should not be mistaken for AOSI (Autism Observation Scale for Infants, 18-items observational measure) [17], or the STAT (Screening Tool for Autism in Toddlers & Young Children, 12-item observations) [1], which both are similar to OSA with the important difference that they are designed to be used by trained autism nurses.…”

Section: Discussionmentioning

confidence: 99%

“…Most of them are based on parent-reported questionnaires, either solely [7][8][9][10][11][12][13], or designed to be used in combination with an observation instrument [14,15]. To our knowledge, there are only two published instruments that are entirely based on an observation scheme [16][17]. Both are designed to be used by trained autism nurses, and thus, not suitable for ASD screening performed by Child Health Center nurses.…”

Section: Introductionmentioning

confidence: 99%

The Observation Scale for Autism (OSA): A New Screening Method to Detect Autism Spectrum Disorder before Age Three Years

Haglund

Dahlgren

Källén

et al. 2016

J. Intellect. Disabl. Diagn. Treat.

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Background: There is an increasing body of evidence that early interventions for children with Autism Spectrum Disorder (ASD) promote a positive development of social interaction. Thus, tools for early detection of ASD are warranted. Aim: Development of, and deciding cut-off-levels for, a new screening tool for ASD, the Observation Scale for Autism (OSA). The OSA was designed to be used at the free health check-up at 30 months, offered to all children in Sweden. Method: The OSA consists of 12 observations and takes less than 10 minutes to use. The performance of the test was investigated by assessing 37 children previously diagnosed ASD, 23 with Down Syndrome (DS) and 26 typically developing children (TD). Results: Children diagnosed with ASD showed statistically significant higher scores in all 12 items compared to TD children, and significantly higher in 10 items compared to the children with DS. Most of the observations in OSA seemed to cover specific symptoms of ASD, but two of the observations were more related to developmental level. The nine most discriminative items for ASD were identified, and among those, a cut-off limit was chosen (≥3 items). Among children with ASD, 34/37 reached the proposed cut off, compared to 0/26 and 4/23 among children in the TD and DS groups, respectively. Conclusion: The results suggest that the OSA discriminates children with ASD from TD children and children with DS. Using the suggested cut off, OSA provides high sensitivity for ASD (92%) with a very low false positive rate.

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“…Speech samples lasting 30 min were collected from all participants, taken from the Autism Observation Schedule for Infants (Bryson, Zwaigenbaum, McDermott, Rombough, & Brian, 2007) at 12 months and from the ADOS at 18 and 24 months. Though Kover, Davidson, Sindberg, and Ellis Weismer (2014) found that 36-53-month-old children with ASD produced fewer utterances, fewer different words, and a lower mean length of utterance during the first 15 min of the ADOS than during a 15-min play-based language sample with either a parent or an examiner, we found it to be superior to a 10-min parent-child interaction as a speech sample.…”

Section: Methodsmentioning

confidence: 99%

Vocalization Rate and Consonant Production in Toddlers at High and Low Risk for Autism

Chenausky

Nelson

Tager–Flusberg

2017

J Speech Lang Hear Res

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Background Previous work has documented lower vocalization rate and consonant acquisition delays in toddlers with autism spectrum disorder (ASD). We investigated differences in these variables at 12, 18, and 24 months in toddlers at high and low risk for ASD. Method Vocalization rate and number of different consonants were obtained from speech samples from a prospective study of infant siblings of children with ASD. Three groups were compared: 18 toddlers at low risk for ASD (low-risk control), 18 high-risk siblings without ASD (HRA−), and 10 high-risk siblings with ASD (HRA+). Results All groups' mean language scores were within the normal range. HRA+ toddlers showed consistently lower vocalization rate; vocalization rate did not predict number of different consonants at 12 months for HRA+. HRA−, not HRA+, toddlers had the smallest number of different consonants and produced significantly fewer different consonants than predicted by their vocalization rate at 12 months. Consonant-acquisition trajectories differed between groups, with HRA− showing the greatest increase from 12 to 18 months. Conclusion Lower vocalization rate was not associated with reduced number of different consonants in these toddlers. Between-groups differences in developmental trajectories are discussed in the context of the social feedback loop and differential ability to benefit from adult feedback between groups.

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The Autism Observation Scale for Infants: Scale Development and Reliability Data

Cited by 334 publications

References 30 publications

Systematic review of tools to measure outcomes for young children with autism spectrum disorder

Systematic review of tools to measure outcomes for young children with autism spectrum disorder

The Observation Scale for Autism (OSA): A New Screening Method to Detect Autism Spectrum Disorder before Age Three Years

Vocalization Rate and Consonant Production in Toddlers at High and Low Risk for Autism

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