An expandable approach for design and personalization of digital, just-in-time adaptive interventions


Gonul S., Namli T., Huisman S., Erturkmen G. B. L. , TOROSLU İ. H. , COŞAR A.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, vol.26, no.3, pp.198-210, 2019 (Peer-Reviewed Journal) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 26 Issue: 3
  • Publication Date: 2019
  • Doi Number: 10.1093/jamia/ocy160
  • Journal Name: JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
  • Journal Indexes: Science Citation Index Expanded, Social Sciences Citation Index, Scopus
  • Page Numbers: pp.198-210
  • Keywords: just-in-time adaptive interventions, personalized intervention delivery, reinforcement learning, digital intervention design, m-health, SMARTPHONE APPLICATION, BEHAVIOR, MANAGEMENT, MODELS

Abstract

Objective: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressing chronic illnesses or health problems and 2) producing personalized intervention delivery strategies to support self-management by optimizing various intervention components tailored to people's individual needs, momentary contexts, and psychosocial variables.