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Computer-assisted textual analysis of free-text comments in the Swiss Cancer Patient Experiences (SCAPE) survey.

Chantal ArditiDiana WaltherIngrid GillesSaphir LesageAnne-Claude GriesserChristine BienvenuManuela EicherIsabelle Peytremann-Bridevaux
Published in: BMC health services research (2020)
A computer-assisted textual analysis of free-text in our patient survey allowed a time-efficient classification of free-text data that provided insights on the personal experience of living with cancer and additional information on patient experiences that had not been collected with the closed-ended questions, underlining the importance of offering space for comments. Such results can be useful to inform questionnaire development, provide feedback to professional teams, and guide patient-centered initiatives to improve the quality and safety of cancer care.
Keyphrases
  • case report
  • papillary thyroid
  • cross sectional
  • smoking cessation
  • mental health
  • squamous cell
  • healthcare
  • machine learning
  • quality improvement
  • deep learning
  • squamous cell carcinoma
  • social media