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Economic analysis of early intervention for autistic children: findings from four case studies in England, Ireland, Italy and Spain

Author

Listed:
  • Tinelli, Michela
  • Roddy, Áine
  • Knapp, Martin
  • Arango, Celso
  • Mendez, Maria Andreina
  • Cusack, James
  • Canitano, Roberto
  • Oakley, Bethany
  • Quoidbach, Vinciane

Abstract

BACKGROUND: Many autistic children experience difficulties in their communication and language skills development, with consequences for social development into adulthood, often resulting in challenges over the life-course and high economic impacts for individuals, families, and society. The Preschool Autism Communication Trial (PACT) intervention is effective in terms of improved social communication and some secondary outcomes. A previously published within-trial economic analysis found that results at 13 months did not support its cost-effectiveness. We modeled cost-effectiveness over 6 years and across four European countries. METHODS: Using simulation modeling, we built on economic analyses in the original trial, exploring longer-term cost-effectiveness at 6 years (in England). We adapted our model to undertake an economic analysis of PACT in Ireland, Italy, and Spain. Data on resource use were taken from the original trial and a more recent Irish observational study. RESULTS: PACT is cost-saving over time from a societal perspective, even though we confirmed that, at 13 months post-delivery, PACT is more expensive than usual treatment (across all countries) when given to preschool autistic children. After 6 years, we found that PACT has lower costs than usual treatment in terms of unpaid care provided by parents (in all countries). Also, if we consider only out-of-pocket expenses from an Irish study, PACT costs less than usual treatment. DISCUSSION: PACT may be recommended as a cost-saving early intervention for families with an autistic child.

Suggested Citation

  • Tinelli, Michela & Roddy, Áine & Knapp, Martin & Arango, Celso & Mendez, Maria Andreina & Cusack, James & Canitano, Roberto & Oakley, Bethany & Quoidbach, Vinciane, 2023. "Economic analysis of early intervention for autistic children: findings from four case studies in England, Ireland, Italy and Spain," LSE Research Online Documents on Economics 119943, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:119943
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    References listed on IDEAS

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    1. Laura Bojke & Andrea Manca & Miqdad Asaria & Ronan Mahon & Shijie Ren & Stephen Palmer, 2017. "How to Appropriately Extrapolate Costs and Utilities in Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 35(8), pages 767-776, August.
    2. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits," Medical Decision Making, , vol. 18(2_suppl), pages 68-80, April.
    3. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits: A New Framework for the Analysis of Uncertainty in Cost-Effectiveness Analysis," NBER Technical Working Papers 0227, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    autism; early intervention; children; cost-effectiveness; public policy; family impacts;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General

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