Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

The development of computer-generated tailored interventions.

A Dijkstra1, H De Vries

  • 1Department of Clinical and Health Psychology, Leiden University, P.O. Box 9555, 2300 RB, Leiden, Netherlands. adijkstra@rulfsw.leidenuniv.nl

Patient Education and Counseling
|May 1, 1999
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

To eat or not to eat oats: factors associated with oats consumption using the I-Change model.

BMC public health·2024
Same author

Effects of providing tailored information about e-cigarettes in a digital smoking cessation intervention: randomized controlled trial.

Health education research·2023
Same author

Hereditary diseases and child wish: exploring motives, considerations, and the (joint) decision-making process of genetically at-risk couples.

Journal of community genetics·2021
Same author

Are Environmental Interventions Targeting Skin Cancer Prevention among Children and Adolescents Effective? A Systematic Review.

International journal of environmental research and public health·2020
Same author

The effect of a breastfeeding support programme on breastfeeding duration and exclusivity: a quasi-experiment.

BMC public health·2019
Same author

Monozygotic multiple pregnancies after transfer of single in vitro produced equine embryos.

Equine veterinary journal·2019

This study outlines a three-phase method for creating personalized digital self-help interventions. The approach focuses on tailoring messages to individual needs based on cognitive factors for better outcomes.

Area of Science:

  • Health Psychology
  • Behavioral Science
  • Digital Health

Background:

  • Personalized interventions enhance self-help effectiveness.
  • Computer-generated tailoring offers scalable solutions.
  • Understanding cognitive determinants is key to behavior change.

Purpose of the Study:

  • To present a systematic three-phase methodology for developing computer-generated tailored interventions.
  • To detail the process of formulating objectives, creating tailoring matrices, and integrating messages.
  • To provide a framework for adapting interventions to individual characteristics.

Main Methods:

  • Phase 1: Formulating intervention objectives based on cognitive determinants of behavior.
  • Phase 2: Developing tailoring matrices to specify message adaptation based on individual characteristics.

Related Experiment Videos

  • Phase 3: Integrating tailored messages into a coherent intervention text with designed layout.

    • Main Results:

    • A structured methodology for creating tailored interventions is presented.
    • Tailoring matrices serve as the foundation for personalized messages and questionnaires.
    • The final intervention's nature depends on theoretical framework, message adaptation, and feedback inclusion.

    Conclusions:

    • The proposed methodology offers a robust framework for developing effective computer-generated tailored interventions.
    • This systematic approach can lead to highly individualized self-help tools.
    • Further research can explore variations based on theoretical models and adaptation strategies.