Internet-based patient education intervention for fibromyalgia: A model-driven evaluation

Luca Camerini, Anne Linda Frisch, Peter J. Schulz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Patients suffering from chronic diseases constantly face the need to learn how to self-manage their health condition and often turn to the Internet to seek help and support from health professionals and laypeople. Internet-based interventions can be an effective tool for patients' education and have been shown to positively impact patients' health outcomes. Focusing on the process leading from Internet usage to health outcomes, this paper reports a model-driven evaluation of a specific Internet-based intervention for patients affected by fibromyalgia syndrome. The evaluation is based on a cross-sectional survey of 209 fibromyalgia patients who were involved in the Internet intervention. Analyses were conducted using a structural equation modeling approach. The analysis mostly confirms the assumed theoretical model with minor and theoretically sound modifications. Results show that the usage of certain tools of the application impacts patients' health knowledge, which in turn impacts self-management. Improvements in self-management ultimately lower the impact of fibromyalgia syndrome. These results are discussed, alongside major implications for the evaluation of Internet-based interventions.

Original languageEnglish
Title of host publicationArtificial Intelligence and Health Communication - Papers from the AAAI Spring Symposium, Technical Report
PublisherAI Access Foundation
Number of pages7
ISBN (Print)9781577354932
StatePublished - 2011
Event2011 AAAI Spring Symposium - Stanford, United States
Duration: 21 Mar 201123 Mar 2011

Publication series

NameAAAI Spring Symposium - Technical Report


Conference2011 AAAI Spring Symposium
Country/TerritoryUnited States


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