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Health Information Technology and Healthcare Information System

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Assessment of a Digital Health Platform Using Web Analytics and User Experience Measurements: Quantitative Study

Lior Weinreich1, Louisa-Marie von Kontz1, Björn Witzel1

  • 1Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Faculty of Medicine, Ludwig Maximilian University of Munich University Hospital, Munich, Germany.

Journal of Medical Internet Research
|July 2, 2026
PubMed
Summary

The LONDI platform effectively reached and was adopted by mental health professionals supporting children with learning disorders, showing strong user engagement and maintenance. However, implementation, particularly chatbot use, requires further improvement for optimal impact.

Keywords:
RE-AIMReach, Effectiveness, Adoption, Implementation, and Maintenancedata sciencedigital healthlearning disordersusability testing

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Area of Science:

  • Digital Health
  • Learning Disorders
  • Mental Health Professionals

Background:

  • The digital health landscape presents challenges of information saturation and misinformation.
  • Identifying valuable digital health tools and assessing their real-world effectiveness is crucial.
  • The Lernstörungen Online-Diagnostik und Intervention (LONDI) platform aims to support children with learning disorders.

Purpose of the Study:

  • To quantitatively assess the LONDI platform using the RE-AIM framework.
  • Focus on reach, adoption, implementation, and maintenance dimensions.
  • Evaluate the platform's utility for mental health professionals (learning therapists, school psychologists).

Main Methods:

  • Quantitative assessment over a 10-month period (May 2024 - March 2025).
  • Pop-up questionnaires measured reach (N=1324) and adoption (N=160, including UX and reuse intention).
  • Web analytics (N=37,133) assessed implementation (reading time, chatbot engagement) and maintenance (user trends, platform version comparison).

Main Results:

  • High representation of learning therapists and school psychologists among users.
  • Positive user experience (UX) scores above benchmark, predicting reuse intention.
  • Low chatbot engagement (0.18%) compared to industry benchmarks; significant user increase (81.2%).

Conclusions:

  • The LONDI platform demonstrates positive public health contributions in reach, adoption, and maintenance.
  • Further research is needed to enhance the platform's implementation dimension, especially chatbot effectiveness.
  • The platform shows promise in supporting mental health professionals dealing with learning disorders.