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A Systematic Framework for Analyzing Patient-Generated Narrative Data: Protocol for a Content Analysis.

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  • 1Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.

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|August 28, 2019
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Summary

This study introduces a systematic framework for analyzing patient narratives from online health forums. This method enhances understanding of patient experiences for improved patient-centered care.

Keywords:
deductive approachframework methodinductive approachonline social networkingpatient-centered carequalitative researchsocial mediatext mining

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Area of Science:

  • Health Informatics
  • Qualitative Research Methods
  • Natural Language Processing (NLP)

Background:

  • Online health forums generate valuable patient narrative data for patient-centered care.
  • Current Natural Language Processing (NLP) methods struggle with high-resolution analysis of patient narratives.
  • Manual qualitative analysis remains crucial for complex research questions in patient narrative data.

Purpose of the Study:

  • To develop a systematic framework for the qualitative analysis of patient-generated narratives from online health care forums.

Main Methods:

  • A 4-phase framework: data collection, data preparation, content analysis, and interpretation.
  • Utilized text mining for data collection and preparation, ensuring patient privacy and appropriate sampling.
  • Employed the framework method for accelerated theme identification by an interdisciplinary team.

Main Results:

  • Demonstrated framework usability with case studies on antidepressant attitudes and diabetes management.
  • The framework provides a structured process for content analysis of patient narratives.
  • Generated high-quality, structured results for identifying patterns, testing hypotheses, and improving healthcare systems.

Conclusions:

  • The systematic framework offers a rigorous, standardized method for qualitative analysis of patient narratives.
  • Findings reveal authentic patient experiences, concerns, needs, and values.
  • This approach is essential for advancing patient-centered care.