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Experience-sampling methodology with a mobile device in fibromyalgia.

Castilla Diana1, Botella Cristina, García-Palacios Azucena

  • 1Labpsitec, Universitat Jaume I, Avenida Sos Baynat s/n, 12071 Castellón de la Plana, Spain ; CIBER Physiopathology of Obesity and Nutrition CIBERobn, CB06/03, Instituto de Salud Carlos III, Spain.

International Journal of Telemedicine and Applications
|January 11, 2013
PubMed
Summary

This study developed a mobile experience-sampling methodology (ESM) system for fibromyalgia patients. The system proved highly usable, even for individuals with limited technology experience, enhancing daily self-report data collection.

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Area of Science:

  • Digital Health
  • Chronic Pain Management
  • Human-Computer Interaction

Background:

  • Fibromyalgia presents challenges in collecting accurate, ecological daily self-report data.
  • Existing data collection methods may lack usability for patients with chronic conditions and varying technological expertise.

Purpose of the Study:

  • To assess the usability of a novel mobile experience-sampling methodology (ESM) system for individuals with fibromyalgia.
  • To determine the system's effectiveness in gathering daily self-report data in a real-world context.

Main Methods:

  • Usability studies were conducted on a developed mobile ESM system.
  • Participants with fibromyalgia, diverse in age and technological proficiency, completed tasks using the system.
  • User interactions were analyzed across two distinct study phases.

Main Results:

  • The mobile ESM system demonstrated high usability, with 100% of participants successfully completing all tasks.
  • The system was found to be effective even for users with no prior experience with information and communication technologies, including illiterate individuals.
  • Distinct patterns in user interaction were observed between the two conducted studies.

Conclusions:

  • Mobile ESM systems are a viable and effective tool for collecting daily self-report data in fibromyalgia patients.
  • The developed system overcomes technological barriers, offering a user-friendly solution for chronic pain self-monitoring.
  • Further research can explore interaction differences to optimize future iterations of mobile health technologies.