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Patients with cancer seek health information online for various reasons, with motivations shifting from cognitive to emotional needs as their disease progresses. Understanding these evolving needs is key to improving online health platforms and patient care.

Keywords:
cancercaregivercognitiveemotionalhealth informationinformation seekinginternetinterviewmenmotivationpatientpatient evaluationpatternresponsescenarioscenario basedsurvivorthink aloudweb-based health information seekingweb-based informationwomen

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Area of Science:

  • Oncology
  • Health Informatics
  • Behavioral Science

Background:

  • Cancer patients increasingly use the internet for health information.
  • Existing research often oversimplifies web-based health information seeking (WHIS) as merely approaching or avoiding.
  • There's a need to understand the dynamic nature and evolving motivations in cancer patients' WHIS throughout their disease trajectory.

Purpose of the Study:

  • To explore the motivations and emotions behind web-based health information seeking (WHIS) in patients with cancer.
  • To investigate cognitive and emotional responses evoked by WHIS across different disease stages.
  • To analyze the dynamic patterns of WHIS using a scenario-based, think-aloud approach.

Main Methods:

  • Recruited 15 analog patients (cancer patients, survivors, caregivers).
  • Used 3 disease trajectory scenarios: pre-diagnosis, treatment, and survivor phases.
  • Employed a think-aloud protocol during web searches, with independent coding and thematic analysis.

Main Results:

  • Key WHIS motives include reducing uncertainty, seeking reassurance, and gaining empowerment.
  • Patient needs evolved from primarily cognitive in early stages to more affective in later stages.
  • WHIS approaches varied (exploratory to focused), adapting to information complexity and emotional impact, often triggering fluctuating emotions.

Conclusions:

  • Insights into cancer patients' WHIS motivations and emotions across disease stages are valuable.
  • Understanding search patterns is crucial for optimizing web-based health platforms.
  • Findings can guide clinicians in supporting patients' information needs and directing them to reliable sources.