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

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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.

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References

  • Bearss, K., Johnson, C., Smith, T., Lecavalier, L., Swiezy, N., Aman, M., McAdam, D. B., Butter, E., Stillitano, C., Minshawi, N., Sukhodolsky, D. G., Mruzek, D. W., Turner, K., Neal, T., Hallett, V., Mulick, J. A., Green, B., Handen, B., Deng, Y., & Scahill, L. (2015). Effect of parent training vs parent education on behavioral problems in children with autism spectrum disorder: A randomized clinical trial. JAMA - Journal of the American Medical Association. https://doi.org/10.1001/jama.2015.3150

    Article  PubMed  Google Scholar 

  • Ben Itzchak, E., & Zachor, D. A. (2011). Who benefits from early intervention in autism spectrum disorders? Research in Autism Spectrum Disorders, 5, 1. https://doi.org/10.1016/j.rasd.2010.04.018

    Article  Google Scholar 

  • Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (methodological), 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x

    Article  Google Scholar 

  • Carruthers, S., Charman, T., El Hawi, N., Kim, Y. A., Randle, R., Lord, C., et al. (2021). Utility of the Autism Diagnostic Observation Schedule and the Brief Observation of Social and Communication Change for Measuring Outcomes for a Parent-Mediated Early Autism Intervention. Autism Research, 14(2), 411–425. https://doi.org/10.1002/aur.2449

    Article  Google Scholar 

  • Cho, A., Wood, J. J., Ferrer, E., Rosenau, K., Storch, E. A., & Kendall, P. C. (2021). Empirically-identified subgroups of children with autism spectrum disorder and their response to two types of cognitive behavioral therapy. Development and Psychopathology. https://doi.org/10.1017/S0954579421001115

    Article  PubMed  PubMed Central  Google Scholar 

  • Davis, P. H., Elsayed, H., Crais, E. R., Watson, L. R., & Grzadzinski, R. (2021). Caregiver responsiveness as a mechanism to improve social communication in toddlers: Secondary analysis of a randomized controlled trial. Autism Research. https://doi.org/10.1002/aur.2640

    Article  PubMed  PubMed Central  Google Scholar 

  • Dawson, G., Rogers, S., Munson, J., Smith, M., Winter, J., Greenson, J., Donaldson, A., & Varley, J. (2010). Randomized, controlled trial of an intervention for toddlers with autism: The early start Denver model. Pediatrics. https://doi.org/10.1542/peds.2009-0958

    Article  PubMed  Google Scholar 

  • Eikeseth, S., Klintwall, L., Jahr, E., & Karlsson, P. (2012). Outcome for children with autism receiving early and intensive behavioral intervention in mainstream preschool and kindergarten settings. Research in Autism Spectrum Disorders. https://doi.org/10.1016/j.rasd.2011.09.002

    Article  Google Scholar 

  • Eikeseth, S., Smith, T., Jahr, E., & Eldevik, S. (2007). Outcome for children with autism who began intensive behavioral treatment between ages 4 and 7: A comparison controlled study. Behavior Modification. https://doi.org/10.1177/0145445506291396

    Article  PubMed  Google Scholar 

  • Eldevik, S., Hastings, R. P., Hughes, J. C., Jahr, E., Eikeseth, S., & Cross, S. (2009). Meta-analysis of Early Intensive Behavioral Intervention for children with autism. Journal of Clinical Child and Adolescent Psychology. https://doi.org/10.1080/15374410902851739

    Article  PubMed  Google Scholar 

  • Garrido, D., Watson, L. R., Carballo, G., Garcia-Retamero, R., & Crais, E. R. (2017). Infants at-risk for autism spectrum disorder: Patterns of vocalizations at 14 months. Autism Research. https://doi.org/10.1002/aur.1788

    Article  PubMed  Google Scholar 

  • Green, J., Charman, T., McConachie, H., Aldred, C., Slonims, V., Howlin, P., Le Couteur, A., Leadbitter, K., Hudry, K., Byford, S., Barrett, B., Temple, K., Macdonald, W., & Pickles, A. (2010). Parent-mediated communication-focused treatment in children with autism (PACT): A randomised controlled trial. The Lancet. https://doi.org/10.1016/S0140-6736(10)60587-9

    Article  PubMed  Google Scholar 

  • Grzadzinski, R., Carr, T., Colombi, C., McGuire, K., Dufek, S., Pickles, A., & Lord, C. (2016). Measuring changes in social communication behaviors: Preliminary development of the brief observation of social communication change (BOSCC). Journal of Autism and Developmental Disorders, 46, 2464. https://doi.org/10.1007/s10803-016-2782-9

    Article  PubMed  Google Scholar 

  • Harris, S. L., & Handleman, J. S. (2000). Age and IQ at intake as predictors of placement for young children with autism: A four- to six-year follow-up. Journal of Autism and Developmental Disorders, 30, 2. https://doi.org/10.1023/A:1005459606120

    Article  Google Scholar 

  • Hastie, T., Tibshirani, R., Friedman, J. H., & Friedman, J. H. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction , Vol. 2, pp. 1–758. New York: Springer.

  • Jatkar, A., Garrido, D., Zheng, S., Silverman, G., Elsayed, H. E., Davis, P. H., Lee, H., Crais, E. R., Sideris, J., Turner-Brown, L., Baranek, G. T., Watson, L. R., & Grzadzinski, R. (2022). Toddlers at elevated likelihood for autism: Exploring sensory and language treatment predictors. Journal of Early Intervention. https://doi.org/10.1177/10538151211067227

    Article  PubMed  Google Scholar 

  • Kasari, C., Gulsrud, A., Paparella, T., Hellemann, G., & Berry, K. (2015). Randomized comparative efficacy study of parent-mediated interventions for toddlers with autism. Journal of Consulting and Clinical Psychology, 83, 3. https://doi.org/10.1037/a0039080

    Article  Google Scholar 

  • Kim, S. H., Grzadzinski, R., Martinez, K., & Lord, C. (2019). Measuring treatment response in children with autism spectrum disorder: Applications of the Brief Observation of Social Communication Change to the Autism Diagnostic Observation Schedule. Autism, 23, 5. https://doi.org/10.1177/1362361318793253

    Article  Google Scholar 

  • Kim, S. Y. (2012). Sample size requirements in single- and multiphase growth mixture models: A Monte Carlo simulation study. Structural Equation Modeling, 19, 3. https://doi.org/10.1080/10705511.2012.687672

    Article  Google Scholar 

  • Liu, Y., Hayes, D. N., Nobel, A., & Marron, J. S. (2008). Statistical significance of clustering for high-dimension, low–sample size data. Journal of the American Statistical Association, 103(483), 1281–1293.

    Article  Google Scholar 

  • Lord, C., Rutter, M., DiLavore, P. C., Risi, S., Gotham, K., & Bishop, S. L. (2012a). Autism diagnostic observation schedule, second edition (ADOS-2) modules 1–4. Western Psychological Services.

  • Lord, C., Luyster, R. J., Gotham, K., & Guthrie, W. (2012b). Autism diagnostic observation schedule, (ADOS-2), Part II: Toddler module (2nd ed.). Los Angeles, Western Psychological Services.

  • Mohamad, I. B., & Usman, D. (2013). Standardization and its effects on K-means clustering algorithm. Research Journal of Applied Sciences Engineering and Technology, 6(17), 3299–3303. https://doi.org/10.19026/rjaset.6.3638

    Article  Google Scholar 

  • Nahmias, A. S., Pellecchia, M., Stahmer, A. C., & Mandell, D. S. (2019). Effectiveness of community-based early intervention for children with autism spectrum disorder: A meta-analysis. Journal of Child Psychology and Psychiatry and Allied Disciplines. https://doi.org/10.1111/jcpp.13073

    Article  PubMed  Google Scholar 

  • Oono, I. P., Honey, E. J., & Mcconachie, H. (2013). Parent-mediated early intervention for young children with autism spectrum disorders (ASD). Cochrane Database of Systematic Reviews. https://doi.org/10.1002/14651858.CD009774.pub2

    Article  PubMed  Google Scholar 

  • Pellecchia, M., Beidas, R. S., Marcus, S. C., Fishman, J., Kimberly, J. R., Cannuscio, C. C., Reisinger, E. M., Rump, K., & Mandell, D. S. (2016). Study protocol: Implementation of a computer-assisted intervention for autism in schools: A hybrid type II cluster randomized effectiveness-implementation trial. Implementation Science. https://doi.org/10.1186/s13012-016-0513-4

    Article  PubMed  PubMed Central  Google Scholar 

  • Peters-Scheffer, N., Didden, R., Mulders, M., & Korzilius, H. (2010). Low intensity behavioral treatment supplementing preschool services for young children with autism spectrum disorders and severe to mild intellectual disability. Research in Developmental Disabilities. https://doi.org/10.1016/j.ridd.2010.04.008

    Article  PubMed  Google Scholar 

  • Rogers, S. J., Yoder, P., Estes, A., Warren, Z., McEachin, J., Munson, J., Rocha, M., Greenson, J., Wallace, L., Gardner, E., Dawson, G., Sugar, C. A., Hellemann, G., & Whelan, F. (2021). A Multisite Randomized Controlled Trial Comparing the Effects of Intervention Intensity and Intervention Style on Outcomes for Young Children With Autism. Journal of the American Academy of Child and Adolescent Psychiatry, 60(6), 710–722. https://doi.org/10.1016/j.jaac.2020.06.013

  • Sandbank, M., Bottema-Beutel, K., Crowley, S., Cassidy, M., Dunham, K., Feldman, J. I., Crank, J., Albarran, S. A., Raj, S., Mahbub, P., & Woynaroski, T. G. (2020). Project AIM: Autism intervention meta-analysis for studies of young children. Psychological Bulletin, 146, 1. https://doi.org/10.1037/bul0000215

    Article  PubMed  Google Scholar 

  • Schertz, H. H., & Odom, S. L. (2007). Promoting joint attention in toddlers with autism: A parent-mediated developmental model. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-006-0290-z

    Article  PubMed  Google Scholar 

  • Schreibman, L., Stahmer, A. C., Barlett, V. C., & Dufek, S. (2009). Brief report: Toward refinement of a predictive behavioral profile for treatment outcome in children with autism. Research in Autism Spectrum Disorders. https://doi.org/10.1016/j.rasd.2008.04.008

    Article  PubMed  PubMed Central  Google Scholar 

  • Shaw, K. A., Maenner, M. J., Baio, J., Washington, A., Christensen, D. L., Wiggins, L. D., Pettygrove, S., Andrews, J. G., White, T., Rosenberg, C. R., Constantino, J. N., Fitzgerald, R. T., Zahorodny, W., Shenouda, J., Daniels, J. L., Salinas, A., Durkin, M. S., & Dietz, P. M. (2020). Early identification of autism spectrum disorder among children aged 4 years - Early autism and developmental disabilities monitoring network, six sites. United States: MMWR Surveillance Summaries. https://doi.org/10.15585/MMWR.SS6903A1

    Book  Google Scholar 

  • Shire, S. Y., Gulsrud, A., & Kasari, C. (2016). Increasing responsive parent-child interactions and joint engagement: Comparing the influence of parent-mediated intervention and parent psychoeducation. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-016-2702-z

    Article  PubMed  PubMed Central  Google Scholar 

  • Siller, M., Hutman, T., & Sigman, M. (2013). A parent-mediated intervention to increase responsive parental behaviors and child communication in children with ASD: A randomized clinical trial. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-012-1584-y

    Article  PubMed  PubMed Central  Google Scholar 

  • Tamis-LeMonda, C. S., Bornstein, M. H., & Baumwell, L. (2001). Maternal responsiveness and children’s achievement of language milestones. Child Development. https://doi.org/10.1111/1467-8624.00313

    Article  PubMed  Google Scholar 

  • Telman, L. G. E., van Steensel, F. J. A., Maric, M., & Bögels, S. M. (2018). What are the odds of anxiety disorders running in families? A family study of anxiety disorders in mothers, fathers, and siblings of children with anxiety disorders. European Child and Adolescent Psychiatry, 27, 5. https://doi.org/10.1007/s00787-017-1076-x

    Article  Google Scholar 

  • Warren, S. F., Brady, N., Sterling, A., Fleming, K., & Marquis, J. (2010). Maternal responsivity predicts language development in young children with fragile X syndrome. American Journal on Intellectual and Developmental Disabilities. https://doi.org/10.1352/1944-7558-115.1.54

    Article  PubMed  PubMed Central  Google Scholar 

  • Whitehouse, A. J. O., Varcin, K. J., & Pillar, S. (2021). Effect of preemptive intervention on developmental outcomes among infants showing early signs of autism: A randomized clinical trial of outcomes to diagnosis. JAMA Pediatrics. https://doi.org/10.1001/jamapediatrics.2021.3298

    Article  PubMed  PubMed Central  Google Scholar 

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Funding

This work was supported by NICHD awards (KL2TR002490; 5T32HD040127-17; U54HD079124 (PI: Joseph Piven) as well as an Autism Speaks Weatherstone Pre-doctoral Fellowship (9650) to author RG. Additional support was provided by NICHD (R01HD073975; author CL) and the Simons Foundation (345327; author CL).

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Authors and Affiliations

  1. Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA

    Rebecca Grzadzinski & Alapika Jatkar

  2. Program for Early Autism Research Leadership and Service (PEARLS), University of North Carolina, Chapel Hill, NC, USA

    Rebecca Grzadzinski

  3. Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA

    Kevin Donovan

  4. Gillings School of Global Public Health, Department of Biostatistics, Chapel Hill, USA

    Kinh Truong

  5. The Simons Foundation, New York, NY, USA

    Alison Holbrook

  6. Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, USA

    Catherine Lord

  7. School of Psychology, Korea University, Seoul, South Korea

    So Hyun Kim

Authors
  1. Rebecca Grzadzinski
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  2. Alapika Jatkar
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  3. Kevin Donovan
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  4. Kinh Truong
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  5. Alison Holbrook
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  6. Catherine Lord
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  7. So Hyun Kim
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Contributions

RG participated in study conceptualization, measure development, data coding, analysis, interpretation, and manuscript preparation. AJ and AH participated in conceptualization and development of the project aims, data analyses, and manuscript preparation. KD and KT provided statistical consultation, conducted analyses for this manuscript, and prepared presentation of results. SHK and CL participated in study conceptualization, study interpretation and manuscript preparation.

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Correspondence to So Hyun Kim.

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Grzadzinski, R., Jatkar, A., Donovan, K. et al. Examining Treatment Outcomes Across Contexts: How Do Child Baseline Characteristics Impact Measurement of Treatment Response?. J Autism Dev Disord 53, 4121–4131 (2023). https://doi.org/10.1007/s10803-022-05655-3

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