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. 2023 Nov;53(11):4121-4131.
doi: 10.1007/s10803-022-05655-3. Epub 2022 Aug 15.

Examining Treatment Outcomes Across Contexts: How Do Child Baseline Characteristics Impact Measurement of Treatment Response?

Affiliations

Examining Treatment Outcomes Across Contexts: How Do Child Baseline Characteristics Impact Measurement of Treatment Response?

Rebecca Grzadzinski et al. J Autism Dev Disord. 2023 Nov.

Abstract

The evaluation of the overlap between the ADOS BOSCC and Standard BOSCC as well as the exploration of child characteristics that may predict change are important steps in consolidating data-driven definitions of "improvement". Participants were seen between 2 and 5 times with Standard BOSCC and ADOS BOSCC observations over the course of early intervention trials (Grzadzinski et al. in J Autism Dev Disord 46:2464, 2016; Kim et al. in Autism 23:5, 2019). Results showed consistency between the Standard BOSCC and ADOS BOSCC, highlighting the utility of both as metrics of change and treatment outcome across contexts. Baseline characteristics may play a role in the tailoring of early intervention to maximize treatment outcome and may offer guidance when determining which outcome measures to use.

Keywords: Autism spectrum disorder (ASD); Brief Observation of Social Communication Change (BOSCC); Early intervention; Treatment outcome.

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Figures

Fig. 1
Fig. 1
Scatterplot of time in treatment and change in BOSCC score from first to last visit by BOSCC type and subtype. Lines of best fit with Pearson correlation estimates and p-values for significance from zero provided
Fig. 2
Fig. 2
Boxplots of estimated per six-month change in Standard BOSCC score for derived subgroups. Subgroup denoted by BOSCC score (ADOS, Standard) and subtype (RRB and SC) and color (see legend)
Fig. 3
Fig. 3
Mean BOSCC score trajectories for each cluster and score type. Individual observed trajectories included as transparent lines and points
Fig. 4
Fig. 4
Boxplots for clinical predictors by subgroup for each BOSCC score type and subscale. Asterisks denote p-value for testing of significant median differences in predictor between subgroup

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