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Improving Patient Education Materials: A Practical Algorithm from Development to Validation.

Patrick Betschart1, Sergej E Staubli1, Valentin Zumstein1

  • 1Department of Urology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.

Current Urology
|November 27, 2019
PubMed
Summary
This summary is machine-generated.

A new algorithm systematically develops and validates patient information using psychometric and statistical methods. This approach ensures clear, reliable patient materials applicable across all medical fields.

Keywords:
AgorithmPatient educationPatient informationUreteral stentingValidation

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Area of Science:

  • Medical Communication
  • Health Literacy
  • Patient Education

Background:

  • Developing high-quality written patient information is crucial for effective healthcare.
  • Existing methods for creating patient materials often lack systematic validation.
  • Ensuring information is understandable and accurate is essential for patient comprehension and adherence.

Purpose of the Study:

  • To create a validated algorithm for the systematic development of written patient information.
  • To ensure the algorithm incorporates established psychometric and statistical validation methods.
  • To demonstrate the algorithm's applicability across diverse medical disciplines.

Main Methods:

  • A comprehensive literature search identified relevant psychometric and statistical methods.
  • An algorithm was constructed by combining selected methods.
  • The algorithm's feasibility was tested through developing patient materials on ureteral stenting.

Main Results:

  • The algorithm comprises four distinct study phases.
  • Readability was assessed using the Flesch Reading Ease formula.
  • Patient comprehension was evaluated via think-aloud protocols and content validity surveys.
  • Final materials were refined through consensus and validated using the Consumer Information Rating Form.

Conclusions:

  • A robust algorithm for developing and validating patient information has been established.
  • The algorithm integrates established psychometric and statistical techniques.
  • This validated approach is adaptable for use in any medical field.