alexa Analyzing the structure and content of public health messages.
Bioinformatics & Systems Biology

Bioinformatics & Systems Biology

Journal of Health & Medical Informatics

Author(s): Morrison FP, Kukafka R, Johnson SB

Abstract Share this page

Abstract BACKGROUND: Health messages are crucial to the field of public health in effecting behavior change, but little research is available to assist writers in composing the overall structure of a message. In order to develop software to assist non-expert message writers in constructing effective messages, the structure of existing health messages must be understood, and an appropriate method for analyzing health message structure developed. METHODS: 72 messages from expert sources were used for development of the method, which was then tested for reproducibility using ten randomly selected health messages. Four raters analyzed the messages and inter-coder agreement was calculated. RESULTS: A method for analyzing the structure of the messages was developed using sublanguage analysis and discourse analysis. Overall kappa between four coders was 0.69, demonstrating "substantial agreement." CONCLUSION: A novel framework for characterizing health message structure and a method for analyzing messages appears to be reproducible.
This article was published in AMIA Annu Symp Proc and referenced in Journal of Health & Medical Informatics

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

  • 5th International Conference on Medical Informatics and Telehealth
    August 29-30, 2017 Prague Czech Republic

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version