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Related Concept Videos

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Radiological Investigation III: Pulmonary Angiogram and PET Scan

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Related Experiment Video

Updated: Jun 28, 2026

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
05:18

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

Internet knowledge expectations by radiotherapy patients.

Mervi Siekkinen1, Sanna Salanterä, Sirkku Rankinen

  • 1Department of Oncology and Radiotherapy, Turku University Hospital, Turku, Finland. mervi.siekkinen@tyks.fi

Cancer Nursing
|November 7, 2008
PubMed
Summary

Radiotherapy patients desire specific online information about biophysiological, functional, and social aspects of their treatment. Understanding these knowledge expectations can improve patient education websites and individual care.

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Last Updated: Jun 28, 2026

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
05:18

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

Area of Science:

  • Oncology
  • Health Informatics
  • Patient Education

Background:

  • Internet-based education is increasingly used for patient information delivery.
  • Understanding patient information needs is crucial for effective online health resources.
  • Radiotherapy patients have unique information requirements throughout their treatment journey.

Purpose of the Study:

  • To identify the specific types of information radiotherapy patients expect from Internet-based educational resources.
  • To analyze how these information expectations evolve during the course of radiotherapy.
  • To inform the development of tailored online patient education platforms.

Main Methods:

  • A longitudinal study collecting questionnaire data from radiotherapy patients at three stages of treatment.
  • Utilized descriptive statistics and content analysis for data interpretation.
  • Achieved response rates of 67% in stage 1, with high completion rates in subsequent stages.

Main Results:

  • Patient knowledge expectations were categorized into four types, with a preference for specific information.
  • Highest expectations were for biophysiological, functional, and social information.
  • Lowest expectations were for experiential, ethical, and financial information, with variations observed during treatment.

Conclusions:

  • Radiotherapy patient information needs are specific and vary throughout treatment.
  • Patient characteristics influence their knowledge expectations.
  • Findings support the development of targeted Internet education sites and personalized patient guidance.