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A framework for self-experimentation in personalized health.

Ravi Karkar1, Jasmine Zia2, Roger Vilardaga3

  • 1Computer Science & Engineering, University of Washington, Seattle, WA, USA.

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|December 9, 2015
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Summary

A new framework enables self-experimentation for personalized health using single case study designs. This mobile app approach is feasible for irritable bowel syndrome (IBS) and other conditions.

Keywords:
human-centered designindividualized medicineirritable bowel syndromeself-experimentationtechnology

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Area of Science:

  • Personalized health
  • Digital health
  • Methodology

Background:

  • Self-experimentation offers a powerful tool for personalized health insights.
  • Applying rigorous scientific methods to individual health data is crucial.
  • Existing frameworks for self-experimentation are limited, particularly for non-experts.

Purpose of the Study:

  • To describe an interdisciplinary and methodological framework for self-experimentation using single case study designs.
  • To assess the framework's applicability across various health conditions.
  • To present a case study of the framework's implementation for irritable bowel syndrome (IBS).

Main Methods:

  • Developed a framework through an in-depth literature review.
  • Created mobile application prototypes, storyboards, and process flows for IBS.
  • Assessed framework feasibility using human-centered design: three focus groups and an online survey (N=60).

Main Results:

  • Focus group participants (N=6) viewed the framework positively and expressed trust in self-analyzed data.
  • Key concerns identified: confounds, non-meaningful measures, and timing of trigger effects.
  • Survey respondents favored shorter study lengths (8 vs. 12 days) despite potentially lower confidence.

Conclusions:

  • The self-experimentation framework, implemented via mobile app, is feasible for individuals with IBS.
  • The framework has potential applicability to a wide range of health conditions.
  • Challenges include the learning curve for non-experts and operationalizing customized study designs.