Cost-Effectiveness of Digital Preventive Parent Training for Early Childhood Disruptive Behaviour

Elisa Rissanen1, Virpi Kuvaja-Köllner, Eila Kankaanpää

  • 1P.O. Box 1627, FI-70270 Kuopio, Finland, elisa.rissanen@uef.fi.

Insights

Digital parent training effectively reduces disruptive behavior in children. Its cost-effectiveness hinges on decision-makers

Area of Science:

  • Child Psychology
  • Health Economics
  • Digital Health Interventions

Background:

  • Childhood disruptive behavior disorder (DBD) is associated with significant problems and costs.
  • Parent training is an effective intervention for childhood DBD.
  • Limited research exists on the cost-effectiveness of digital parent training for DBD.

Purpose of the Study:

  • To evaluate the two-year cost-effectiveness of the Strongest Families Smart Website (SFSW) digital parent training intervention.
  • To compare SFSW against an education control (EC) group for preventing children's disruptive behavior.
  • To assess cost-effectiveness from the combined perspective of healthcare funders and parents.

Main Methods:

  • Utilized data from a randomized controlled trial (RCT) involving 464 disruptive children aged four.
  • Intervention group received SFSW; control group received EC.
  • Evaluated intention-to-treat incremental net monetary benefit and used the Child Behavior Checklist (CBCL) externalizing score as the effectiveness measure.

Main Results:

  • SFSW intervention costs were higher than EC from both healthcare funder and parent perspectives.
  • SFSW significantly decreased the CBCL externalizing score compared to EC.
  • Cost-effectiveness analysis indicated positive net monetary benefit when willingness to pay exceeded €879 per unit reduction in externalizing score.

Conclusions:

  • The cost-effectiveness of SFSW is contingent upon decision-makers' willingness to pay for behavioral improvements.
  • The SFSW intervention is effective in reducing disruptive behavior, but associated costs must be considered.
  • Further economic evaluations of digital interventions using standardized high-quality methods are needed.
Abstract

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